THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy...

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THE PLANT METABOLOME Asaph Aharoni & Gadi Galili Department of Plant Sciences Ulmann Building, Room 105 (Asaph) & Room 116 (Gadi) Tel : 3643 (Asaph) & 3511 (Gadi) E.mail Asaph: [email protected] E.mail Gadi: [email protected]

Transcript of THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy...

Page 1: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

THE PLANT METABOLOME

Asaph Aharoni amp Gadi Galili

Department of Plant SciencesUlmann BuildingRoom 105 (Asaph) amp Room 116 (Gadi) Tel 3643 (Asaph) amp 3511 (Gadi)Email Asaph asaphaharoniweizmannacilEmail Gadi gadgaliliweizmannacil

THE PLANT METABOLOME

bull Code 20073152

bull Credits 10 (including a mini review)

bull Wednesday 1400-1600 Katzir Hall Ulmann Building

bull 15 classes

What will we hear and talk aboutThe PLANT Metabolme

- CORE PATHWAYS (BOTH PRIMARY AND

SECONDARY)

- PATHWAY REGULATION

- ANALYSIS MEASURMNET

- EVOLUTION

- APPLICATIONS

- ENGINEERING

TextbooksTextbooks and and ReadingsReadings

ndashndash BiochemistryBiochemistry amp Molecularamp Molecular Biology of Plants Biology of Plants ASPB ASPB httpwwwaspborgpublicationsbiotextbiochemorderinfocfm

ndashndash Plant Biochemistry and Molecular Biology by Plant Biochemistry and Molecular Biology by HansHans--Walter Walter HeldtHeldt

ndash Biochemistry of Plant Secondary Metabolism Edited by Michael Wink

ndashndash Readings from original literatureReadings from original literature

The MetabolomeThe Metabolome

Is a comprehensive profile of all the Is a comprehensive profile of all the low molecular weight compounds low molecular weight compounds of an organism a tissue or a of an organism a tissue or a cellcell

Oliver et al (1998)Oliver et al (1998)

GENOMEGENOME

Transcriptome

Proteome

Metabolome

PHENOTYPEPHENOTYPE

Gene

mRNA

Protein

Product

Levels of regulation

Network of Metabolic Pathways in a Single Cell

Network of Metabolic Pathways in a Single Cell

- All reactions occur in a cell that is less than 01 mm in diameter

- Nearly every reaction requires a different enzyme

- The same compound can be part of many different pathways

- Pyruvate a substrate for more than six enzymes each one modify it in a different way

Network of Metabolic Pathways in a Single CellIn multicellular organisms most complex regulation

- Different cell types require different sets of enzymes

- Different tissuesorgans make distinct contributions to the chemistry of the organism as a whole

- Levels of metabolites required differ between tissues

- Cell types amp tissue organs cooperate by exchange of metabolites in normal and stress states

The Cori Cycle Liver-Muscle Interaction

Lifersquos Complexity PyramidOltavai amp Barabasi

Science 2002

The cell is a complex network in which the components are connected by functional links

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 2: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

THE PLANT METABOLOME

bull Code 20073152

bull Credits 10 (including a mini review)

bull Wednesday 1400-1600 Katzir Hall Ulmann Building

bull 15 classes

What will we hear and talk aboutThe PLANT Metabolme

- CORE PATHWAYS (BOTH PRIMARY AND

SECONDARY)

- PATHWAY REGULATION

- ANALYSIS MEASURMNET

- EVOLUTION

- APPLICATIONS

- ENGINEERING

TextbooksTextbooks and and ReadingsReadings

ndashndash BiochemistryBiochemistry amp Molecularamp Molecular Biology of Plants Biology of Plants ASPB ASPB httpwwwaspborgpublicationsbiotextbiochemorderinfocfm

ndashndash Plant Biochemistry and Molecular Biology by Plant Biochemistry and Molecular Biology by HansHans--Walter Walter HeldtHeldt

ndash Biochemistry of Plant Secondary Metabolism Edited by Michael Wink

ndashndash Readings from original literatureReadings from original literature

The MetabolomeThe Metabolome

Is a comprehensive profile of all the Is a comprehensive profile of all the low molecular weight compounds low molecular weight compounds of an organism a tissue or a of an organism a tissue or a cellcell

Oliver et al (1998)Oliver et al (1998)

GENOMEGENOME

Transcriptome

Proteome

Metabolome

PHENOTYPEPHENOTYPE

Gene

mRNA

Protein

Product

Levels of regulation

Network of Metabolic Pathways in a Single Cell

Network of Metabolic Pathways in a Single Cell

- All reactions occur in a cell that is less than 01 mm in diameter

- Nearly every reaction requires a different enzyme

- The same compound can be part of many different pathways

- Pyruvate a substrate for more than six enzymes each one modify it in a different way

Network of Metabolic Pathways in a Single CellIn multicellular organisms most complex regulation

- Different cell types require different sets of enzymes

- Different tissuesorgans make distinct contributions to the chemistry of the organism as a whole

- Levels of metabolites required differ between tissues

- Cell types amp tissue organs cooperate by exchange of metabolites in normal and stress states

The Cori Cycle Liver-Muscle Interaction

Lifersquos Complexity PyramidOltavai amp Barabasi

Science 2002

The cell is a complex network in which the components are connected by functional links

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 3: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

What will we hear and talk aboutThe PLANT Metabolme

- CORE PATHWAYS (BOTH PRIMARY AND

SECONDARY)

- PATHWAY REGULATION

- ANALYSIS MEASURMNET

- EVOLUTION

- APPLICATIONS

- ENGINEERING

TextbooksTextbooks and and ReadingsReadings

ndashndash BiochemistryBiochemistry amp Molecularamp Molecular Biology of Plants Biology of Plants ASPB ASPB httpwwwaspborgpublicationsbiotextbiochemorderinfocfm

ndashndash Plant Biochemistry and Molecular Biology by Plant Biochemistry and Molecular Biology by HansHans--Walter Walter HeldtHeldt

ndash Biochemistry of Plant Secondary Metabolism Edited by Michael Wink

ndashndash Readings from original literatureReadings from original literature

The MetabolomeThe Metabolome

Is a comprehensive profile of all the Is a comprehensive profile of all the low molecular weight compounds low molecular weight compounds of an organism a tissue or a of an organism a tissue or a cellcell

Oliver et al (1998)Oliver et al (1998)

GENOMEGENOME

Transcriptome

Proteome

Metabolome

PHENOTYPEPHENOTYPE

Gene

mRNA

Protein

Product

Levels of regulation

Network of Metabolic Pathways in a Single Cell

Network of Metabolic Pathways in a Single Cell

- All reactions occur in a cell that is less than 01 mm in diameter

- Nearly every reaction requires a different enzyme

- The same compound can be part of many different pathways

- Pyruvate a substrate for more than six enzymes each one modify it in a different way

Network of Metabolic Pathways in a Single CellIn multicellular organisms most complex regulation

- Different cell types require different sets of enzymes

- Different tissuesorgans make distinct contributions to the chemistry of the organism as a whole

- Levels of metabolites required differ between tissues

- Cell types amp tissue organs cooperate by exchange of metabolites in normal and stress states

The Cori Cycle Liver-Muscle Interaction

Lifersquos Complexity PyramidOltavai amp Barabasi

Science 2002

The cell is a complex network in which the components are connected by functional links

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

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anoi

c A

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anoi

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Met

hyl

Ethy

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ter

1 B

utan

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-M

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tate

Hex

anoi

c A

cid

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ster

Ace

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cid

Hex

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ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

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A

cid

Eth

yl E

ster

Mes

ifura

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Oct

anoi

c A

cid

Eth

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ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

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cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 4: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

TextbooksTextbooks and and ReadingsReadings

ndashndash BiochemistryBiochemistry amp Molecularamp Molecular Biology of Plants Biology of Plants ASPB ASPB httpwwwaspborgpublicationsbiotextbiochemorderinfocfm

ndashndash Plant Biochemistry and Molecular Biology by Plant Biochemistry and Molecular Biology by HansHans--Walter Walter HeldtHeldt

ndash Biochemistry of Plant Secondary Metabolism Edited by Michael Wink

ndashndash Readings from original literatureReadings from original literature

The MetabolomeThe Metabolome

Is a comprehensive profile of all the Is a comprehensive profile of all the low molecular weight compounds low molecular weight compounds of an organism a tissue or a of an organism a tissue or a cellcell

Oliver et al (1998)Oliver et al (1998)

GENOMEGENOME

Transcriptome

Proteome

Metabolome

PHENOTYPEPHENOTYPE

Gene

mRNA

Protein

Product

Levels of regulation

Network of Metabolic Pathways in a Single Cell

Network of Metabolic Pathways in a Single Cell

- All reactions occur in a cell that is less than 01 mm in diameter

- Nearly every reaction requires a different enzyme

- The same compound can be part of many different pathways

- Pyruvate a substrate for more than six enzymes each one modify it in a different way

Network of Metabolic Pathways in a Single CellIn multicellular organisms most complex regulation

- Different cell types require different sets of enzymes

- Different tissuesorgans make distinct contributions to the chemistry of the organism as a whole

- Levels of metabolites required differ between tissues

- Cell types amp tissue organs cooperate by exchange of metabolites in normal and stress states

The Cori Cycle Liver-Muscle Interaction

Lifersquos Complexity PyramidOltavai amp Barabasi

Science 2002

The cell is a complex network in which the components are connected by functional links

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 5: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

The MetabolomeThe Metabolome

Is a comprehensive profile of all the Is a comprehensive profile of all the low molecular weight compounds low molecular weight compounds of an organism a tissue or a of an organism a tissue or a cellcell

Oliver et al (1998)Oliver et al (1998)

GENOMEGENOME

Transcriptome

Proteome

Metabolome

PHENOTYPEPHENOTYPE

Gene

mRNA

Protein

Product

Levels of regulation

Network of Metabolic Pathways in a Single Cell

Network of Metabolic Pathways in a Single Cell

- All reactions occur in a cell that is less than 01 mm in diameter

- Nearly every reaction requires a different enzyme

- The same compound can be part of many different pathways

- Pyruvate a substrate for more than six enzymes each one modify it in a different way

Network of Metabolic Pathways in a Single CellIn multicellular organisms most complex regulation

- Different cell types require different sets of enzymes

- Different tissuesorgans make distinct contributions to the chemistry of the organism as a whole

- Levels of metabolites required differ between tissues

- Cell types amp tissue organs cooperate by exchange of metabolites in normal and stress states

The Cori Cycle Liver-Muscle Interaction

Lifersquos Complexity PyramidOltavai amp Barabasi

Science 2002

The cell is a complex network in which the components are connected by functional links

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 6: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

GENOMEGENOME

Transcriptome

Proteome

Metabolome

PHENOTYPEPHENOTYPE

Gene

mRNA

Protein

Product

Levels of regulation

Network of Metabolic Pathways in a Single Cell

Network of Metabolic Pathways in a Single Cell

- All reactions occur in a cell that is less than 01 mm in diameter

- Nearly every reaction requires a different enzyme

- The same compound can be part of many different pathways

- Pyruvate a substrate for more than six enzymes each one modify it in a different way

Network of Metabolic Pathways in a Single CellIn multicellular organisms most complex regulation

- Different cell types require different sets of enzymes

- Different tissuesorgans make distinct contributions to the chemistry of the organism as a whole

- Levels of metabolites required differ between tissues

- Cell types amp tissue organs cooperate by exchange of metabolites in normal and stress states

The Cori Cycle Liver-Muscle Interaction

Lifersquos Complexity PyramidOltavai amp Barabasi

Science 2002

The cell is a complex network in which the components are connected by functional links

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

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Met

hyl E

ster

But

anoi

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anoi

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cid

2 -

Met

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Aci

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Ace

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Oct

anoi

c A

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-Dec

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Prop

anoi

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cid

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yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

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Eth

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A

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Mes

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Oct

anoi

c A

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-Dec

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Prop

anoi

c A

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Oct

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ster

But

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Oct

yl E

ster

Ner

olid

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gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 7: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Network of Metabolic Pathways in a Single Cell

Network of Metabolic Pathways in a Single Cell

- All reactions occur in a cell that is less than 01 mm in diameter

- Nearly every reaction requires a different enzyme

- The same compound can be part of many different pathways

- Pyruvate a substrate for more than six enzymes each one modify it in a different way

Network of Metabolic Pathways in a Single CellIn multicellular organisms most complex regulation

- Different cell types require different sets of enzymes

- Different tissuesorgans make distinct contributions to the chemistry of the organism as a whole

- Levels of metabolites required differ between tissues

- Cell types amp tissue organs cooperate by exchange of metabolites in normal and stress states

The Cori Cycle Liver-Muscle Interaction

Lifersquos Complexity PyramidOltavai amp Barabasi

Science 2002

The cell is a complex network in which the components are connected by functional links

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

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Ace

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ster

Hex

anoi

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Eth

yl E

ster

2 H

exan

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A

cid

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Mes

ifura

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Oct

anoi

c A

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-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 8: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Network of Metabolic Pathways in a Single Cell

- All reactions occur in a cell that is less than 01 mm in diameter

- Nearly every reaction requires a different enzyme

- The same compound can be part of many different pathways

- Pyruvate a substrate for more than six enzymes each one modify it in a different way

Network of Metabolic Pathways in a Single CellIn multicellular organisms most complex regulation

- Different cell types require different sets of enzymes

- Different tissuesorgans make distinct contributions to the chemistry of the organism as a whole

- Levels of metabolites required differ between tissues

- Cell types amp tissue organs cooperate by exchange of metabolites in normal and stress states

The Cori Cycle Liver-Muscle Interaction

Lifersquos Complexity PyramidOltavai amp Barabasi

Science 2002

The cell is a complex network in which the components are connected by functional links

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 9: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Network of Metabolic Pathways in a Single CellIn multicellular organisms most complex regulation

- Different cell types require different sets of enzymes

- Different tissuesorgans make distinct contributions to the chemistry of the organism as a whole

- Levels of metabolites required differ between tissues

- Cell types amp tissue organs cooperate by exchange of metabolites in normal and stress states

The Cori Cycle Liver-Muscle Interaction

Lifersquos Complexity PyramidOltavai amp Barabasi

Science 2002

The cell is a complex network in which the components are connected by functional links

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

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Met

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ster

But

anoi

c A

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Ethy

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But

anoi

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2 -

Met

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Ethy

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ter

1 B

utan

ol 3

-M

ethy

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Hex

anoi

c A

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Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

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Eth

yl E

ster

2 H

exan

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A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

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Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 10: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

The Cori Cycle Liver-Muscle Interaction

Lifersquos Complexity PyramidOltavai amp Barabasi

Science 2002

The cell is a complex network in which the components are connected by functional links

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

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Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 11: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Lifersquos Complexity PyramidOltavai amp Barabasi

Science 2002

The cell is a complex network in which the components are connected by functional links

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

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ster

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A

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Mes

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Oct

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ster n

-Dec

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Prop

anoi

c A

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ster

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cid

Oct

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ster

Ner

olid

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gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 12: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

PLANT METABOLISM

For an organism to be alive it must

A Respond to stimulusB ReproduceC GrowD METABOLIZE

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 13: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

PLANT METABOLISM

The complex of physical and chemical events of photosynthesis respiration and the synthesis and degradation of organic compounds

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 14: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

PLANT METABOLISM

Photosynthesis produces the substrates for respiration and the starting organic compounds used as building blocks for subsequent biosyntheses of nucleic acids amino acids and proteins carbohydrates and organic acids lipids and natural products

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

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yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

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tate

But

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Ethy

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ter

1 B

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-M

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Ace

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ster

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Eth

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ster

2 H

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A

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Mes

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Oct

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ster n

-Dec

yl A

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te

Prop

anoi

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Oct

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ster

But

anoi

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cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 15: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Estimated Size of the MetabolomeEstimated Size of the Metabolome

-- In yeast In yeast 550550 compounds in a cellcompounds in a cell

-- In plants In plants 4000 to 200004000 to 20000 compounds in a compounds in a cell cell

-- To date a total of To date a total of 200000200000 structures structures identified from plantsidentified from plants

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 16: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

KEGG 13803 compounds 6579 reactions KEGG 13803 compounds 6579 reactions

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

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anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

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-M

ethy

l Ace

tate

H

exan

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Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

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c A

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Eth

yl E

ster

2 H

exan

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A

cid

Eth

yl E

ster

Mes

ifura

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Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

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Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 17: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Enzyme Classification

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

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anoi

c A

cid

Met

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ster

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Ethy

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2 -

Met

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Ethy

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ter

1 B

utan

ol 3

-M

ethy

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Hex

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cid

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Ace

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yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 18: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

The MetabolomeThe Metabolome

11 The Metabolome is organism The Metabolome is organism tissue and cell specifictissue and cell specific

22 Influenced by the environmentInfluenced by the environment

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 19: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

The MetabolomeThe Metabolome

11 The metabolome is tissue and The metabolome is tissue and cell specificcell specific

22 Influenced by the Influenced by the environmentenvironment

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 20: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Primary MetabolitesPrimary Metabolites

- Produced by all organisms

- Needed for cell viability and proliferation and organism growth and developemnt

- Example- amino acids phytosterols acyl lipids and nucleotides

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

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er

But

anoi

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cid

2 -

Met

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Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

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Hex

anoi

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cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

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cid

Eth

yl E

ster

2 H

exan

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A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

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Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

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pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 21: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Secondary MetabolitesSecondary Metabolites- Also termed specialized metabolites (in certain plant taxonomic groups) or natural plant products

- Plants will survive without most of them but will be damaged

- Play an important role in the interaction between plants and the environment (biotic and abiotic stresses)

- Important since plants are sessile

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 22: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Secondary MetabolitesSecondary Metabolites

- Approx 50000 structures known

- Belong to ditinct classes that are often linked to each other

- Often complicated chemistry

- Utilty as dyes polymers fibers glues oils waxes flavouring agents perfumes and drugs

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

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But

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Met

hyl E

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anoi

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cid

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2 -

Met

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-M

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Aci

d M

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Oct

anoi

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-Dec

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ceta

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Prop

anoi

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cid

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yl E

ster

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anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

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olid

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Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 23: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Main Groups of Main Groups of SecondarySecondary Metabolites Metabolites in Plantsin Plants

29000 29000 terpenesterpenes

12000 12000 alkaloidsalkaloids

8000 phenolics8000 phenolicsCroteau et al 2000

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

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anoi

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2 -

Met

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ter

1 B

utan

ol 3

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ethy

l Ace

tate

Hex

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ster

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ster

Hex

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A

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cid

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ster

Ner

olid

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gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 24: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Secondary Metabolites are Derived from Primary Metabolites

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

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anoi

c A

cid

Ethy

l Est

er

But

anoi

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cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

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ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 25: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

PlantPlant unicellularunicellular and and animalanimalbiochemistry sometimes differbiochemistry sometimes differ

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 26: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

The Metabolome of Human Ecoli amp ArabidopsisThe Metabolome of Human Ecoli amp Arabidopsis

According to HumanCyc )httpHumanCycorg(

35 metabolic pathways are common to all three organisms

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 27: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Regulation of Regulation of MetabolismMetabolism-- CharacteristicsCharacteristics

ndashndash StoichiometricStoichiometric requirementsrequirements (quantative (quantative relationship between reactants and products relationship between reactants and products in a reaction)in a reaction)

ndashndash Avoid wasteAvoid waste (energy that is needed when it (energy that is needed when it is needed)is needed)

ndashndash Directionality of metabolismDirectionality of metabolismMost reactions are reversibleMost reactions are reversibleThe cytoplasm as a The cytoplasm as a soupsoup (how(how does anything get does anything get done)done)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

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n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

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utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 28: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

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cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

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cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 29: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Properties of EnzymesProperties of EnzymesAffinity for substrate inherent catalytic capacityAffinity for substrate inherent catalytic capacity

FeedFeed--back regulation feedback regulation feed--forward loopforward loop--gaingain

Allosteric effects competitive versus nonAllosteric effects competitive versus non--competitive inhibitioncompetitive inhibition

Redox control of enzymesRedox control of enzymes

pH and Mg regulation (especially chloroplast pH and Mg regulation (especially chloroplast enzymes)enzymes)

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 30: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Promiscuous ActivityPromiscuous Activity

Promiscuous activity in a protein is also Promiscuous activity in a protein is also termedtermed

substrate ambiguitysubstrate ambiguitycross reactivitycross reactivitymoonlighting activitymoonlighting activity

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 31: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Too few genes too many metabolitesToo few genes too many metabolites-- In plants more than 200000 structures have been In plants more than 200000 structures have been identifiedidentified-- Every plant estimated to containEvery plant estimated to contain-- 4k4k--20k20k-- Diversity in modification of the same backbone Diversity in modification of the same backbone structurestructure-- Example 300 different glycosides of the Example 300 different glycosides of the flavonol quercitinflavonol quercitin-- In Arabidopsis according to AraCycIn Arabidopsis according to AraCyc1900 genes encoding enzymes with defined 1900 genes encoding enzymes with defined functionfunction

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

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t at e

But

anoi

c A

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Met

hyl E

ster

But

anoi

c A

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Ethy

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er

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anoi

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2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

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nalo

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Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

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tate

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c A

cid

Met

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ster

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2 -

Met

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ter

1 B

utan

ol 3

-M

ethy

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tate

Hex

anoi

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ster

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cid

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ster

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exan

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A

cid

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Mes

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Oct

anoi

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-Dec

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Prop

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Oct

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ster

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olid

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gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 32: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Too few genes too many metabolitesToo few genes too many metabolites

How to explain METABOLOME sizediversityHow to explain METABOLOME sizediversity

aa DNA level Alternative reading frames and gene DNA level Alternative reading frames and gene fusionfusion

bb mRNA level Alternative splicingmRNA level Alternative splicingcc Protein Post translational modification and Protein Post translational modification and

Hetrodimer formationHetrodimer formation

AndAndhelliphelliphelliphellip Enzyme SpecificityEnzyme Specificity

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 33: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Alcohol acylAlcohol acyl--CoA transferasesCoA transferases

One One enzymeenzymehelliphellipMultipleMultiple substratessubstrateshelliphellipMultiple Multiple productsproducts

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

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ster

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c A

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Ethy

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2 -

Met

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l Es

ter

1 B

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-M

ethy

l Ace

tate

H

exan

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Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

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c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

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ster

Mes

ifura

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nalo

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Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

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anoi

c A

cid

Met

hyl E

ster

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c A

cid

Ethy

l Est

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2 -

Met

hyl

Ethy

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ter

1 B

utan

ol 3

-M

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Ace

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cid

Hex

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ster

Hex

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Eth

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2 H

exan

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A

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Mes

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nalo

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Oct

anoi

c A

cid

Eth

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ster n

-Dec

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ceta

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Prop

anoi

c A

cid

Oct

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ster

But

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cid

Oct

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ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 34: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Volatile Composition of Cultivated StrawberryVolatile Composition of Cultivated Strawberry

Ethy

l Ace

t at e

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

H

exan

oic

Aci

d M

ethy

l Est

er

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 35: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Volatile Esters Contribute to the Aroma of Most Fruit

gt100 esters92 esters

bull Some are responsible for a particular fruit aroma (eg banana)

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 36: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Metabolic Route for the Formation of Esters in Fruit

Precursors

Alcohols

Aldehydes

Acids (eg acetic acid)

Alcohols Acyltransferase

Fatty acids

Amino acids

ReductionOxidation

Beta-oxidation

CoA

Adapted and modified from Olias Et al In R L Rouseff and M M Leahy (eds) Fruit Flavours Biogenesis charachterization and authentication (1995)

ESTERS

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 37: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Ester Formation by Alcohol Acyltransferase (AAT)Ester Formation by Alcohol Acyltransferase (AAT)

OSR1

CoAR1 O

OR2+ OH R2

AAT

Acetyl-CoA +Ethylalcohol

Isoamylalcohol

Ethylacetate

Isoamylacetate

AAT

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 38: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Ester Formation by Ester Formation by SAATSAAT Expressed in Expressed in Ecoli Ecoli CellsCells

4 107

Retention Time (min)

Det

ecto

r R

espo

nse

()

F

E

G

D

C

B

AButanol Butyl acetate

100

100

100

100

100

100

100

0

0

0

0

0

0

0

In B

+Butanol Acetyl CoA

Butylacetate

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 39: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Broad substrate specificity (alcohols)

0

10

20

30

40

50

60

70

80

90

100

methano

leth

anol

1-propanol

iso-pr

opano

l1-buta

nol2-buta

nol

isoam

ylalcoh

ol1-hexa

nol

trans-

2-hexen-1-ol

cis-2-

hexen-1-ol

trans-

3-hexen-1-ol

cis-3-

hexen-1-ol

heptanol

octanol

nonanol

decanol

linalo

ol

2-phenyle

thylalco

holbenzyl

alcoho

l

furfur

ylalco

hol

Act

ivity

o

f max

imum

(oct

anol

)

Alcohol

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 40: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Broad Substrate Specificity (acyl CoAs)

Acyl CoAs (Carbon no) Alcohol Ester formed Ester propertiesn-propionyl CoA (C30) 1-butanol 1-butyl propanoate ethereal bananan-butyryl CoA (C40) 1-propanol 1-propyl butyrate sharp pungent rancid sweaty

sickeningn-butyryl CoA (C40) 1-butanol 1-butyl butyrate fruity pineappleisobutyryl CoA (C40) 1-butanol 1-butyl isobutyrate fruity apple banana and

pineapplen-crotonoyl CoA (C41) 1-butanol 1-butyl crotoate not describedn-hexanoyl CoA (C60) 1-propanol 1-propyl hexanoate wine-like cheesen-decanoyl CoA (C100) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like

odorbenzoyl CoA (C70) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 41: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

SAAT is a member of a small gene family in strawberry responsible for generating more than 100 different type of esters in the ripe fruit

Ethy

l Ace

tate

But

anoi

c A

cid

Met

hyl E

ster

But

anoi

c A

cid

Ethy

l Est

er

But

anoi

c A

cid

2 -

Met

hyl

Ethy

l Es

ter

1 B

utan

ol 3

-M

ethy

l Ace

tate

Hex

anoi

c A

cid

Met

hyl E

ster

Ace

tic A

cid

Hex

yl E

ster

Hex

anoi

c A

cid

Eth

yl E

ster

2 H

exan

oic

A

cid

Eth

yl E

ster

Mes

ifura

neLi

nalo

ol

Oct

anoi

c A

cid

Eth

yl E

ster n

-Dec

yl A

ceta

te

Prop

anoi

c A

cid

Oct

yl E

ster

But

anoi

c A

cid

Oct

yl E

ster

Ner

olid

ol

gam

a -

Dod

ecal

acto

ne

Ester Furan Terpene Lactone

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 42: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Terpene CyclasesTerpene Cyclases

One One enzymeenzymehelliphellipOneOne substratesubstratehelliphellipMultiple Multiple productsproducts

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 43: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Plant Secondary Metabolism Plant Secondary Metabolism An Excellent ExampleAn Excellent Example

Trees such as Grand Fir) אשוח (--Produce oleoresin in response to stem wounding Produce oleoresin in response to stem wounding and insect attackand insect attack--The turpentine fraction of the oleoresin contains The turpentine fraction of the oleoresin contains terpenes mainly mono sesqui and diterpenesterpenes mainly mono sesqui and diterpenes-- In Grand Fir 38 sesquiterpenes (125 of In Grand Fir 38 sesquiterpenes (125 of turpentine) and the remaining monoterpenesturpentine) and the remaining monoterpenes-- Two terpene synthases expressed in Ecoli could Two terpene synthases expressed in Ecoli could synthesize three major products but in total 35 and synthesize three major products but in total 35 and 53 total sesquiterpenes53 total sesquiterpenes

Steele et al 1998

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 44: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Properties of Enzymes

End Product Inhibition or End Product Inhibition or FeedFeed--back Regulationback Regulation

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 45: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Properties of Enzymes

FeedFeed--forward Regulationforward Regulation

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 46: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Properties of Enzymes

PostPost--translational Regulationtranslational Regulation

Phosphorylation Phosphorylation Protein kinases and phosphatasesProtein kinases and phosphatasesTurns enzymes on or off can affect sensitivity to effectorsTurns enzymes on or off can affect sensitivity to effectors

Fatty acidsFatty acidsPalmitic acid in a regulatory way myristic acid is nonPalmitic acid in a regulatory way myristic acid is non--regulatoryregulatory

PrenylationPrenylationFanesylation (3 isoprenoids 15 C) CaaX CFanesylation (3 isoprenoids 15 C) CaaX C--terminusterminusGeranylgeranylation (20 carbons) CaaL CGeranylgeranylation (20 carbons) CaaL C--terminusterminus

Fatty acids and prenylation anchors proteins to membranes Fatty acids and prenylation anchors proteins to membranes or to other proteinsor to other proteins

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 47: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Anchoring Anchoring ProteinsProteins to to MembranesMembranes

Buchannan et al (ASPB book)

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 48: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Methods of Methods of RegulationRegulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 49: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Cellular Cellular compartmentationcompartmentation

ndashndash Hallmark of eukaryotic cellsHallmark of eukaryotic cellsndashndash Oxygen reactions mostly in mitochondria and Oxygen reactions mostly in mitochondria and

chloroplastschloroplastsndashndash Chloroplasts Chloroplasts ndashndash more generally plastids more generally plastids ndashndash are are

what make plants uniquewhat make plants uniqueCell walls vacuoles also distinctive but not Cell walls vacuoles also distinctive but not uniqueuniquePlastids are biochemical powerhousesPlastids are biochemical powerhouses

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 50: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Biochemistry Biochemistry InsideInside PlastidsPlastids

Photosynthesis Photosynthesis ndashndash reduction of C N and Sreduction of C N and SAmino acids essential amino acid synthesis restricted to Amino acids essential amino acid synthesis restricted to plastidsplastids

Phenylpropanoid amino acids and secondary compounds Phenylpropanoid amino acids and secondary compounds start in the plastids (start in the plastids (shikimicshikimic acid pathway)acid pathway)Site of action of several herbicides including Site of action of several herbicides including glyphosateglyphosateBranchedBranched--chain amino acidschain amino acidsSulfur amino acidsSulfur amino acids

Fatty acids Fatty acids ndashndash all fatty acids in plants made in plastidsall fatty acids in plants made in plastids

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 51: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Biochemistry Biochemistry InsideInside PlastidsPlastids

CarotenoidsCarotenoids ndashndash source of vitamin Asource of vitamin AThiaminThiamin and and pyridoxalpyridoxal B vitamins B vitamins AscorbicAscorbic acid acid ndashndash vitamin Cvitamin CTocopherolTocopherol ndashndash vitamin E vitamin E PhylloquinonePhylloquinone (an electron (an electron accepttoraccepttor in PS I in PS I ndashndashvitamin K)vitamin K)

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 52: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Methods of Methods of Metabolic RegulationMetabolic Regulation

11 Properties of Properties of enzymesenzymes

22 CompartmentationCompartmentation

33 Transcriptional and postTranscriptional and post--transcriptionaltranscriptional

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 53: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Transcriptional and PostTranscriptional and Post--transcriptional Regulationtranscriptional Regulation

ndashndash NormallyNormally slow relative to metabolic slow relative to metabolic controlcontrolndashndash AllowsAllows metabolism to be changed in response to metabolism to be changed in response to

environmental factorsenvironmental factorsndashndash Transcriptional control most commonTranscriptional control most common

Sometimes variation in transcription rate Sometimes variation in transcription rate not reflectednot reflected in in enzyme amountenzyme amount

ndashndash Translational control also foundTranslational control also foundNo change in mRNA levels but changes in protein No change in mRNA levels but changes in protein

amountsamounts

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 54: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Time Out- 15 min

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 55: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

ANALYSING the METABOLOMEANALYSING the METABOLOME

-- More complicated compared to More complicated compared to protein and nucleic acidsprotein and nucleic acids

bullbull Unknown pathwaysUnknown pathwaysbullbull Often difficult to purifyOften difficult to purifybullbull Can be impossible to synthesizeCan be impossible to synthesizebullbull No amplificationNo amplification

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 56: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

ANALYSING the METABOLOMEANALYSING the METABOLOME

Different metabolites different characteristicsDifferent metabolites different characteristicsbullbull volatilevolatilebullbull non volatile polar semi polar and apolar non volatile polar semi polar and apolar

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 57: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Analysing the METABOLOMEAnalysing the METABOLOME

Metabolites Elemental compositionOrder of the atomsType of bondsStereochemical orientation

(+)-Carvone

Oקימל

(-)-Carvone

Oנענה

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 58: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

ANALYSING the METABOLOME ANALYSING the METABOLOME WHYWHY-- Assessing gene function and relationship to phenotypesAssessing gene function and relationship to phenotypes

-- Understanding metabolism and predicting novel pathwaysUnderstanding metabolism and predicting novel pathways

-- To increase metabolite fluxes into valuable biochemical To increase metabolite fluxes into valuable biochemical pathways using metabolic engineeringpathways using metabolic engineering

-- To compare genetically modified organisms to nonTo compare genetically modified organisms to non--modifiedmodified

-- To measure flux of carbon under varying conditionsTo measure flux of carbon under varying conditions

-- To asses the effect of environmental changesTo asses the effect of environmental changes

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 59: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Analysing the METABOLOMEAnalysing the METABOLOME

bull Metabolite target analysis just a few specific compounds

bull Metabolic profiling classes of compounds

bull Metabolic fingerprinting with pattern recognition

bull Metabolomics as comprehensive as possible

Fiehn Comp Func Genomics 2155-168 (2001)

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 60: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Metabolite Target Analysis

Tomato peel

s mixturersquoStandard Naringenin Chalcone Standard

12

13

13 14

15

Tomato peel

12 ndash Cinnamic acid13 ndash Naringenin Chalcone14 ndash Naringenin15 ndash Kaempferol

mz100 200 300 400 500 600 700 800 900 1000 1100

0

100

0

1001 TOF MS ES+

235e42730797

1470500

2740554

27506233570263 5831375 85514656290711 9874974 11512333

1 TOF MS ES+ 790e32730789

1530202

2740617

3570297 5831320 85514196512269 1011270510600111Time570 580 590 600 610 620 630 640

0

100

570 580 590 600 610 620 630 640

0

100Tom_8_WTa3 1 TOF MS ES+

TIC137e4

602

575

MixAllStand_b1 1 TOF MS ES+ TIC

816e3602

593

569

610615

646641

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 61: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Metabolic profilingHPLC chromatograms (recorded at 520 nm) of anthocyanins of red ripe strawberries ACHENES 1 = cyanidin-3-glucoside 2 = pelargonidin-3-glucoside 3 = pelargonidin-3-rutinoside 4 = cyanidin-3-glucoside-malonate 5 = pelargonidin-3-glucoside-malonate

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 62: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Metabolic FingerprintingInvestigation of the Mode of Action of the Phytotoxin (5S8R13S16R)-(-)-Pyrenophorol Using (1)H Nuclear Magnetic Resonance Fingerprinting (Konstantinos A Aliferis and Maria Chrysayi-Tokousbalides JAFC 2006)

Phyt

otox

ic c

ompo

unds

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 63: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Metabolic FOOTprinting or Exometabolome

ldquoA Strategy for analyzing the properties of cells or tissues by looking in a high-throughput manner at the metabolites that they excrete or fail to take up from their surroundings (Kell et al 2005)rdquo

bull Similar to fingerprinting based on pattern recognitionbull In Fingerprinting intracellular metabolites analyzed while in Footprinting the culture media (as in the case of yeast)bull Stimulating metabolic changes by adding various carbon compounds or inhibitors

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 64: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Metabolomics and Other OMICS ApproachesMetabolomics and Other OMICS Approaches

bull Transcriptomics Monitor the expression levels of tens of thousands of genes

bull Proteomics Monitor abundance patterns of thousands of proteins

bull Metabolomics Monitor thousands of low molecular weight metabolites simultaneously

bull Bio-informatics Processing data and extracting biological meaning

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 65: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

METABOLOMICSMETABOLOMICS

-- The The comprehensivecomprehensive quantitative and quantitative and qualitativequalitative analysis of all metabolites within analysis of all metabolites within a cell tissue or an organism is far from a cell tissue or an organism is far from reality in any systemreality in any system

--Multiple technologies are required Multiple technologies are required

--The field is developing rapidly The field is developing rapidly

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 66: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

MetaboMetabo--ll--omics and Metaboomics and Metabo--nn--omicsomicsNicholson et al 1999bull Metabonomics ldquothe quantitative measurement of the time ndash

related multi-parametric response of living systems to pathophysioloical stimuli or genetic modificationrdquo

Fiehnbull Metabolomics ldquothe comprehensive and quantitative analysis of

all metabolitesrdquoApproaches are the same Nomics more metabolic response to

drugs and diseases (animal systems and with NMR) while Lomics more bacterialplants (with MS (GC LC)

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 67: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

MetabolomicsDetecting Multiple Metabolites

QTOF-MS

GC-MS

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 68: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite (separation not always) Metabolite (separation not always)

detectiondetection33 Data analysisData analysis-- From raw data to information which is From raw data to information which is

ready for miningready for mining-- Extraction of biological relevanceExtraction of biological relevance-- Data visualization (maps tables charts Data visualization (maps tables charts

etc)etc)

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 69: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysisData analysis

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 70: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

EXTRACTION

Each group of metabolites will have an optimal extraction method(no single solution)

Stopping the enzymatic activity

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 71: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

General Metabolite Extraction General Metabolite Extraction MethodsMethods

Liquid phase extractionLiquid phase extractionGrind sample extract with solventGrind sample extract with solventLiquid Liquid extractionLiquid Liquid extractionTake liquid extract extract with another Take liquid extract extract with another solventsolventSolid Liquid ExtractionSolid Liquid ExtractionTake liquid extract extract with solid Take liquid extract extract with solid phase materialphase material

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 72: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Volatile Metabolite ExtractionVolatile Metabolite Extraction

Steam distillationSteam distillation

HeadspaceHeadspace

Headspace amp solid phase extraction Headspace amp solid phase extraction

(Trapping)(Trapping)

Solid phase microSolid phase micro--extraction (SPME)extraction (SPME)

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 73: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Volatiles (Essential oils) Steam DistillationVolatiles (Essential oils) Steam Distillation

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 74: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Headspace amp solid phase extractionHeadspace amp solid phase extraction (Trapping)Trapping)

Measuring Headspace Volatiles Emitted by ArabidopsisMeasuring Headspace Volatiles Emitted by Arabidopsis

Inlet Outlett

Tenax

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 75: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Headspace amp solid phase Headspace amp solid phase extractionextraction (Trapping)Trapping)

Measuring Headspace Measuring Headspace Volatiles Emitted by RosesVolatiles Emitted by Roses

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 76: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Solid Phase Solid Phase Micro Micro Extraction Extraction (SPME)(SPME)

To GC-MS injection port

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

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in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 77: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction

22 Metabolite detectionMetabolite detectionwith or without prior separationwith or without prior separation

3 Data analysis3 Data analysis

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 78: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Metabolome Analyses Technologiesbull Infrared spectroscopy (IR)bull Nuclear magnetic resonance (NMR)bull Mass spectrometry (MS)bull Thin layer chromatography (TLC)bull High performance liquid chromatography (HPLC) equipped with different

kinds of detectors UV or photodiode array (PDA) fluorescent electrochemical etc

bull Capillary electrophoresis (CE) coupled to different detectors UV laser induced fluorescent (LIF) mass spectrometer (MS or MSMS) etc

bull Gas chromatography (GC) coupled to different detectors MS or MSMS FIDbull Liquid chromatography tandem mass spectrometry (LCMS or LCMSMS)bull Fourier transform ion cyclotron mass spectrometry (FTMS)bull HPLC coupled to NMR detection (LCNMR)bull HPLC coupled to NMR and MS detectors (LCNMRMS)

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 79: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Separation Methods

1 Thin layer chromatography (TLC)2 High Performance Liquid Chromatography

(HPLC)3 Gas chromatography (GC)4 Capillary electrophoresis (CE)

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 80: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

HPLC Separation

Polarity of mobile phase changes the rate at which polarity changes is the gradient

Stationary phase

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

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357

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rc-3

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- 90

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4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 81: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Stationary Phase in the HPLC Column

silica

pores

d

Analytical HPLC ndash3 5 10 microm particle size

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 82: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Stationary Phase and Mobile Phase in HPLC

As the analytes pass through the column they interact between the two phases--mobile and stationary--at different rates The difference in rates is primarily due to different polarities for the analytes

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 83: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

HPLCHPLC-- Normal amp Reverse PhaseNormal amp Reverse Phase

Reverse Phase ChromatographyReverse Phase ChromatographyStationary PhaseStationary Phase-- nonnon--polarpolar and Mobile phaseand Mobile phase--polarpolarMost polar analyte elutes firstMost polar analyte elutes first

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 84: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

The HPLC Instrument amp Detectors

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 85: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Detectors for HPLC1 UVVIS1 UVVIS Fixed wavelength Fixed wavelength Photo DiodePhoto Diode arrayarray

2 Refractive index2 Refractive index3 3 FluorescenceFluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR8 8 Mass SpectrometerMass Spectrometer

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

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389

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f - 4

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286 M

orin

- 13

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9114

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116

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89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

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luc

- 10

369

Cin

nam

- 15

344

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ing

- 17

536

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lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

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n-2

- 26

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- 1

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4

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-glu

c -

112

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98

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149

92

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178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

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in -

136

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140

85

148

14

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12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 86: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Fixed Wavelength Absorbance (320nm)Fixed Wavelength Absorbance (320nm)

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

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622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

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in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

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667

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916

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4513

325 Mor

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135

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728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 87: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Photo Diode Array (PDA) DetectorPhoto Diode Array (PDA) Detector

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 88: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

PDA Detector and Visualization PDA Detector and Visualization with the MaxPlot Optionwith the MaxPlot Option

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 89: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Detectors1 1 UVVISUVVIS Fixed wavelength Variable wavelength Diode arrayFixed wavelength Variable wavelength Diode array

2 Refractive index2 Refractive index3 Fluorescence3 Fluorescence4 Conductivity4 Conductivity5 Antioxidant 5 Antioxidant 6 Evaporative light scattering6 Evaporative light scattering7 Electrochemical7 Electrochemical8 NMR8 NMR9 Mass Spectrometer9 Mass Spectrometer

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 90: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Fluorescence vs UV DetectionFluorescence vs UV Detection

FluorescenceExcitation at 250 nmEmission at 395 nm

UVAbsorbance 254nm

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

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n-5

- 33

203

463

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3C

hlor

- 3

739

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2C

aff -

43

07

488

0

552

75

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622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

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4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

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2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 91: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

HPLC Chromatogram of a Tomato SampleHPLC Chromatogram of a Tomato Sample

Tomato WT peel MaxPlot 240Tomato WT peel MaxPlot 240--400 nm400 nm

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

267

02

999

305

7

355

53

729 Chl

or -

389

44

339

Caf

f - 4

522

520

3

591

4

Rut

in-3

-tris

cach

- 9

209

934

09

471

968

49

788

Rut

in -

100

5110

310

110

7311

439

117

2711

880

127

76 130

2713

286 M

orin

- 13

840

142

9114

495

149

3615

116

157

89 169

84

Cha

lc -

181

15

206

68

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

5C

aff -

43

10

488

2

562

9

674

6

Que

rc-3

-tris

cah

- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 92: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Peaks assignment Comparison of sample chromatogram with the known standards

1 Comparison of Retention times (RT)

AU

-002

000

002

004

006

008

010

012

Minutes200 400 600 800 1000 1200 1400 1600 1800 2000

Rut

in -

100

70Q

uerc

-3-g

luc

- 10

369

Cin

nam

- 15

344

Nar

ing

- 17

536

Cha

lc -

181

56

206

69

MaxPlot 240-400 nm

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

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417

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10

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2

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339

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- 11

272

113

8611

456

115

40

121

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126

3112

722

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4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 93: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

2 Comparison of UV Spectra

Cut in one time point

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

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Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

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39

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Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

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Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

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136

2413

740

140

85

148

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12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 94: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Analysing the METABOLOMEAnalysing the METABOLOME

11 Metabolite ExtractionMetabolite Extraction22 Metabolite detection (with or without Metabolite detection (with or without

separation)separation)33 Data analysis (HPLCData analysis (HPLC--PDA only)PDA only)

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

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357

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- 1

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4

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4210

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c -

112

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149

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Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

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018

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Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

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140

85

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MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 95: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Data Analysis (HPLCData Analysis (HPLC--UV)UV)

Areas of mass chromatographic peaks corresponding to components (abcn) are entered into a peak table for each sample chromatogram (123z)

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

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552

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622

8

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0

798

8

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cah

- 90

209

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985

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pf-3

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- 1

013

4

106

4210

896

110

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c -

112

5811

373

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524

116

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444 14

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149

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39

168

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lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

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018

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Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

745

417

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43

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9

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115

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136

2413

740

140

85

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MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 96: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Data Analysis HPLCData Analysis HPLC--UVUV

Tomato Ailsa Craig WT peel MaxPlot 240MaxPlot 240--400 nm400 nm

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

11 -

234

52

389

257

7U

n-2

- 26

402

885

Un-

3 - 2

942

321

0U

n-5

- 33

203

463

357

3C

hlor

- 3

739

417

2C

aff -

43

07

488

0

552

75

642

622

8

674

0

798

8

Que

rc-3

-tris

cah

- 90

209

186

945

29

656

Rut

in -

985

2K

aem

pf-3

-rutin

- 1

013

4

106

4210

896

110

38K

aem

pf-3

-glu

c -

112

5811

373

114

4311

524

116

2311

676 11

983

120

98

126

1512

667

128

3212

916

131

4513

325 Mor

in -

135

9913

728 14

082

142

9514

444 14

803

149

92

158

39

168

00

Cha

lc -

178

87

Metabolite profiling of Tomato samples

Tomato mutant LA 3189 peel

AU

000

002

004

006

008

010

012

014

016

018

020

Minutes200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900

Un-

8 - 2

386 257

52

639

304

63

227 332

03

461

357

2C

hlor

- 3

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417

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aff -

43

10

488

2

562

9

674

6

Que

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-tris

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- 90

339

188

965

4R

utin

- 9

872

Kae

mpf

-3-ru

tin

- 10

144

Kae

mpf

-3-g

luc

- 11

272

113

8611

456

115

40

121

11

126

3112

722

128

4513

146

133

86 Mor

in -

136

2413

740

140

85

148

14

168

12

MaxPlot 240MaxPlot 240--400 nm400 nm

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 97: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Peak table for WT and mutant samples replicate injectionsData Analysis HPLCData Analysis HPLC--UVUV

SampleNamePeel-WT-rep1

Peel-WT-rep2

Peel-LA3-rep2

Peel-LA3-rep1

Peel-LA1-rep2

Peel-LA1-rep1 Peel-WT

Peel-LA7-rep2

Peel-LA7-rep1

Peel-LA4-rep2

Un-1 241419 206868 127397 127465 283709 288794 223706 135812 143342 198087Un-2 58658 49553 44465 45298 102208 96992 56025 35551 41020 55688Un-3a 11983 11980 11853 33604 28021 17871Un-3 15697 13955 16356 13766 12349Un-4a 45896 51075 46460 41609 48528 62768 14663Un-4 23317 21423 9951 14101 22116 27942 39957 32262 28838Un-5 20978 18301 110211 106722 91241 81591 15828 122351 148823 74525Un-6 40369 34817 44531 45493 34699 31952 41978 32308 36773 35221Un-7 59121 52742 54175 56498 62357 62883 56481 43456 51682 52655Chlor 60635 51580 50031 47574 55521 56685 46114 25864 32777 29494Un-8a 39871 42790 26326 25153 57171 58947Un-8 797014 750225 431987 435713 550682 570399 739248 422014 431370 374172Caff 31757 28552 18032 20774 27292 28168 20320 10940 16075 12492Un-9 154463 130710 118495 117701 96152 103453 160836 88943 87544 69428Un-10 46934 44525 14103 12741 18646 13982 46447Un-11 58382 51794 32383 33504 42987 46055 63893 36171 37916 24898Un-12 24969 22427 28086 24816 23448 29831 24283 21412 21020 20592Un-12a 10784 10907Un-13 15962 14911 16454Querc-3-triscah 548496 490093 142452 143017 231519 247238 506375 138289 132110 108476Un-14 40676 33057 34559 27633 18420 19195 43531 25382 23390 16342Un-15 19185 18774 10124 9608 18593Un-16 32835 30307 26264 26374 21456 22488 34726 23371 22987 15531Rutin 2165740 1855442 586954 584920 1023246 1112867 2161457 500042 483482 459848Kaempf-3-rutin 115876 100613 54579 54070 70633 75203 114859 48936 46941 55266Un-17 19119 16196Un-18 11641 12457 12891Un-19 100923 94039 98629Un-20 12273 11041 12377Kaempf-3-gluc 123120 101469 62389 60959 96890 108029 125141 54871 53133 57656Un-21 12150 10519 14970 15960 12123 13275 12882 13679Un-22 11670 11517 14896 15341 12646 13589 10048 13895 13273 14338Un-23 23697 21827 14099 14825 21655 9729 9304 9320Un-24 19321 17837 8832 9591 20225Un-25 56180 48832 50890Un-26 17586 16376 11359 11052 11554 15299 9623 11407 9931Un-27 36367 31995 21220 21936 10728 11290 35381 12254 10414 11770Un-28 12688 11200 13503 14015 6914 6982 9336 9234 8182 8315Un-29 26325 23456 15359 14310 23423 24290 22341 8964Un-30 35669 30426 30896Un-31 45809 39438 63621 63139 41221 43591 41085 40248 37798 32968Un-32 17508 12101 13800 13874 18755 18933 11717 17368 16111 16724Un-32a 12553 12805 12095 11454 11099 11572Morin 78144 73707 75296 76038 78599 78383 71043 77880 76128 72394Un-33 63320 54971 29735 29592 16903 18412 61414 20785 23672 14215Un-34 30660 25598 15932 13710 28092 11134Un-35 15954 13386 10221 9951 11424 12546 12983 11196 11283Un- 36 92129 84365 51525 52151 46150 47945 86399 41251 41093 37133Un-37 14063 12546 7681 12198Un-38 42542 38626 15852 15838 17312 18458 37353 9360 10311 10419Chalc 2535919 2230976 2370837 21394 20105

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 98: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Gas Chromatography (GC)Gas Chromatography (GC)

bull The sample is vaporized in the injection portbull Sample injected to the head of the chromatographic columnbull The sample transported through the column (in a heated oven) by the flow of inert gaseous mobile phasebull Separation according to boiling points of compounds

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 99: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

A Typical GasA Typical Gas Chromatography (Chromatography (GC) Output DataGC) Output Data

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 100: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

GC Detectors (except MS)SelectivityDetector

Most organic compoundsFlame ionization (FID)

UniversalThermal conductivity (TCD)

Halides nitrates nitriles peroxides anhydrides organometallicsElectron capture (ECD)

Nitrogen phosphorusNitrogen-phosphorus

Sulphur phosphorus tin boron arsenic germanium selenium chromiumFlame photometric (FPD)

Aliphatics aromatics ketones esters aldehydes amines heterocyclics organosulphurs some organometallicsPhoto-ionization (PID)

Halide nitrogen nitrosamine sulphurHall electrolytic conductivity

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS

Page 101: THE PLANT METABOLOME · n-decanoyl CoA (C10:0) 1-butanol 1-butyl decanoate Brandy (Whisky-Cognac)-like odor benzoyl CoA (C7:0) 1-butanol 1-butyl benzoate mild floral-balsamic odor

Next Week

First hour Mass spectrometry in metabolite analyses

Second hour A visit to the lab (Asaph amp Chemical services WIS) HPLC-PDA HPLC-FLOURESCENT UPLC-PDA LC-MS