Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz...

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Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago http://naturalvariation.org
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Page 1: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana

Justin BorevitzEcology & EvolutionUniversity of Chicagohttp://naturalvariation.org

Page 2: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Talk Outline

• Natural Variation/ QTL mapping• Single Feature Polymorphisms (SFPs)• eXtreme Array Mapping• Potential deletions• Haplotype analysis• Patterns in gene Families• Aquilegia

Page 3: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Light Affects the Entire Plant Life Cycle

de-etiolation

hypocotyl

}

Page 4: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .
Page 5: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .
Page 6: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Light Affects the Entire Plant Life Cycle

Light response variation can be seen under constant conditions in the labNatural Variation != Natural Selection

Page 7: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Seasons in the Growth Chamber

• Changing Day length• Cycle Light Intensity• Cycle Light Colors• Cycle Temperature

Day Length

0:00

2:00

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sep

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month

hour

s

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standard

standard

Light Intensity

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p

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Temperature

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-5

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monthde

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Sweden Low

standard

Page 8: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .
Page 9: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .
Page 10: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .
Page 11: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .
Page 12: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .
Page 13: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Quantitative Trait Loci

Page 14: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .
Page 15: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .
Page 16: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

QTL geneConfirmation

MarkerIdentificationGenotyping

Genomics path

Experimental DesignMapping population PhenotypingQTL AnalysisFine Mapping

Candidate genePolymorphismsgene expressionloss of function

QTL gene

Confirmation

Experimental Design

Mapping population

Phenotyping

QTL Analysis

Fine Mapping

With the Aid of Genomics

Page 17: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Which arrays should be used?

• Spotted arrays Arizona 29,000 - 70mers• ATH1, Affymetrix expression GeneChip

202,806 unique 25bp oligo nucleotides features• AtTILE1, universal whole genome array

every ~35bp, > 3Million PM features• Re-sequencing array 120M*8bp

– 20 Accessions, Perlegen,

– Max Planck (Weigel), USC (Nordborg)

GeneChip

Page 18: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

RNA DNA

Universal Whole Genome Array

Transcriptome AtlasExpression levelsTissues specificity

Transcriptome AtlasExpression levelsTissues specificity

Gene DiscoveryGene model correctionNon-coding/ micro-RNAAntisense transcription

Gene DiscoveryGene model correctionNon-coding/ micro-RNAAntisense transcription

Alternative SplicingAlternative Splicing Comparative GenomeHybridization (CGH)

Insertion/Deletions

Comparative GenomeHybridization (CGH)

Insertion/Deletions

MethylationMethylation

ChromatinImmunoprecipitation

ChIP chip

ChromatinImmunoprecipitation

ChIP chip

Polymorphism SFPsDiscovery/Genotyping

Polymorphism SFPsDiscovery/Genotyping

~35 bp tile, non-repetitive regions, “good” binding oligos, evenly spaced

Page 19: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Potential Deletions

Page 20: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .
Page 21: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

False Discovery and Sensitivity

PM only

SAM threshold

5% FDR

GeneChip SFPs nonSFPs Cereon marker accuracy 3806 89118 100% Sequence 817 121 696 Sensitivity

Polymorphic 340 117 223 34% Non-polymorphic 477 4 473

False Discovery rate: 3% Test for independence of all factors: Chisq = 177.34, df = 1, p-value = 1.845e-40 SAM threshold 18% FDR

GeneChip SFPs nonSFPs Cereon marker accuracy 10627 82297 100% Sequence 817 223 594 Sensitivity

Polymorphic 340 195 145 57% Non-polymorphic 477 28 449

False Discovery rate: 13% Test for independence of all factors: Chisq = 265.13, df = 1, p-value = 1.309e-59

3/4 Cvi markers were also confirmed in PHYB

90% 80% 70%

41% 53% 85%

90% 80% 70%

67% 85% 100%

Cereonmay be asequencingError

TIGRmatch isa match

Page 22: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Chip genotyping of a Recombinant Inbred Line

29kb interval

Discovery 6 replicates X $500 12,000 SFPs = $0.25Typing 1 replicate X $500 12,000 SFPs = $0.041

Page 23: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Map bibb100 bibb mutant plants100 wt mutant plants

Page 24: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

bibb mapping

ChipMapAS1

Bulk segregantMapping usingChip hybridization

bibb maps toChromosome2 near ASYMETRIC LEAVES1

Page 25: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

BIBB = ASYMETRIC LEAVES1

Sequenced AS1 coding region from bib-1 …found g -> a change that would introduce a stop codon in the MYB domain

bibb as1-101

MYB

bib-1W49*

as-101Q107*

as1bibb

AS1 (ASYMMETRIC LEAVES1) =MYB closely related toPHANTASTICA located at 64cM

Page 26: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Array Mapping

Hazen et al Plant Physiology (in press)

chr1 chr2 chr3 chr4 chr5

Page 27: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

eXtreme Array Mapping

Histogram of Kas/Col RILs Red light

hypocotyl length (mm)

cou

nts

6 8 10 12 14

02

46

81

01

2

15 tallest RILs pooled vs15 shortest RILs pooled

Page 28: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

LOD

eXtreme Array Mapping

Allele frequencies determined by SFP genotyping. Thresholds set by simulations

0

4

8

12

16

0 20 40 60 80 100cM

LO

D

Composite Interval Mapping

RED2 QTL

Chromosome 2

RED2 QTL 12cM

Red light QTL RED2 from 100 Kas/ Col RILs (Wolyn et al Genetics 2004)

Page 29: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Potential Deletions Suggest Candidate Genes

FLOWERING1 QTL

Chr1 (bp)

Flowering Time QTL caused by a natural deletion in FLM

MAF1

FLM natural deletion

(Werner et al PNAS 2005)

Page 30: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Fast Neutron deletions

FKF1 80kb deletion CHR1 cry2 10kb deletion CHR1

Het

Page 31: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Array Haplotyping

• What about Diversity/selection across the genome?

• A genome wide estimate of population genetics parameters, θw, π, Tajima’D, ρ

• LD decay, Haplotype block size• Deep population structure?• Col, Lz, Bur, Ler, Bay, Shah, Cvi, Kas,

C24, Est, Kin, Mt, Nd, Sorbo, Van, Ws2Fl-1, Ita-0, Mr-0, St-0, Sah-0

Page 32: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Array Haplotyping

Inbred lines

Low effectiverecombinationdue to partialselfing

Extensive LDblocks

Col Ler Cvi Kas Bay Shah Lz Nd

Chr

omos

ome1

~50

0kb

Page 33: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

SFPs for reverse genetics

http://naturalvariation.org/sfp

14 Accessions 30,950 SFPs`

Page 34: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Chromosome Wide Diversity

Page 35: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Diversity 50kb windows

Page 36: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Tajima’s D like 50kb windows

RPS4 unknown

Page 37: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

R genes vs bHLH

(-1,-0.8] (-0.6,-0.4] (-0.2,0] (0.2,0.4] (0.6,0.8]

Selection

Tajima's D like statistic

freq

uen

cy

01

02

03

04

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07

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RgenesbHLH

Page 38: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Review

• Single Feature Polymorphisms (SFPs) can be used to

• Identify recombination breakpoints• eXtreme Array Mapping• Potential deletions (candidate genes)

• Haplotyping• Diversity/Selection

• Association Mapping

Page 39: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

Aquilegia (Columbines)

Recent adaptive radiation, 350Mb genome

Page 40: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

> 20k dbEST 11/14/2003

Animal lineage: good coverage

Plant lineage: crop plant coverage

Page 41: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

NSF Genome Complexity

• 45,000 ESTs 5’ and 3’ ends• 350 arrays, RNA and genotyping

– High density SFP Genetic Map

• Physical Map (BAC tiling path)– Physical assignment of ESTs

• QTL for pollinator preference – ~400 RILs, map abiotic stress

– QTL fine mapping/ LD mapping

• Develop transformation techniques

Scott Hodges (UCSB)

Elena Kramer (Harvard)

Magnus Nordborg (USC)

Justin Borevitz (U Chicago)

Jeff Tompkins (Clemson)

Page 42: Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago .

NaturalVariation.orgNaturalVariation.orgSalk

Jon WernerJoanne ChoryJoseph Ecker

Max Planck

Detlef Weigel

UC San Diego

Charles Berry

Scripps

Sam HazenElizabeth Winzeler

Salk

Jon WernerJoanne ChoryJoseph Ecker

Max Planck

Detlef Weigel

UC San Diego

Charles Berry

Scripps

Sam HazenElizabeth Winzeler

University of Chicago

Xu ZhangEvadne Smith

UC Davis

Julin Maloof

University of Guelph, Canada

Dave Wolyn

Sainsbury Laboratory

Jonathan Jones

University of Chicago

Xu ZhangEvadne Smith

UC Davis

Julin Maloof

University of Guelph, Canada

Dave Wolyn

Sainsbury Laboratory

Jonathan Jones