Jim Moffett, Eric Webb, Chris Suffrige, Sergio Senudo-Wilhemy, Jagruti Vedamati (USC), Ben Twining, Mike Sieraki, Ramunas Stepanauskas, Pete Countway, Sara Rauschenberg (Bigelow), A.J. Limardo, Alex Worden (MBARI), Randie Bundy, Kathy Barbeau (Scripps), Tim Mattes (U. Iowa),

Alyssa Kent, Adam Martiny (UC Irvine), Curtis Deutsch (UW), Craig Carlson (UCSB), Bryn Durham, Mary Ann Moran (UGa), Bethany Jenkins, Dreux Chappel, Leanne Pritchard (URI), Ginger Armbrust, Anitra Ingalls, Bob Morris, Francois Ribalet, Gabrielle Rocap, Michael Carlson, Jaci Saunders, Rachel Horak, Katherine Neal, Gwenn Hennon, Helena van Tol, Jarred Swalwell,

Sara Bender, Tony Bertagnolli, Wei Qin, Dave Stahl, Al Devol, David French, Laura Truxel, Bill Howe, Dan Halperin, Konstantin Wietz (UW), Ben van Mooy, Patrick Martin, Mak Saito,

Liz Kujawinski, Winn Johnson (WHOI), Greg Cutter, Chris Powell (ODU), Simone Alin (NOAA PMEL), Jessica Green (UO), Adrian Marchetti, Kim Delong (UNC),Ann Pearson, Hilary Close, Sarah Hurley,

Naomi Levine (Harvard), Karen Casciotti (Stanford), Carl Cerrano (SDS),Astrid Gaerdes (MPI) , Mick Follow (MIT)

GeoMICS: Global scale Microbial Interactions across Chemical

Surveys

GeoMICS: Global scale Microbial Interactions across Chemical

Surveys

A brief history…

Nov, 2010: NSF OCB-sponsored workshop: “The Molecular Biology of Biogeochemistry: Using Molecular Methods

to Link Ocean Chemistry with Biological Activity”Jim Moffett, Eric Webb

Implement “pilot study linking high-resolution metagenomicsampling with high-resolution sampling for GEOTRACES core parameters across pronounced gradients”

Establish a “stand-alone sectional survey program in microbial biogeography...[with] GEOTRACES [as] a good model …inclusive process for designing [a] program and securing funding, as well as establishing an infrastructure for intercalibration and data management

May, 2012: GeoMICS is launched1 week cruise on the R/V Thompson along subset of Line P

• Identify interactions between changes in microbial diversity, community functions, and chemical features across a gradient

• Coordinate sampling protocols: inorganic geochemistry, organic geochemistry, and molecular biology

R/V Thompson

Data from cruise(31 different labs)

Data from cruise(31 different labs)

Feb, 2013: OCB-sponsored workshop to collate/merge dataCoordinate analysis across 5 groups: inorganic geochemists, organic geochemists, molecular ecologists, modelers, computer scientists

Query across data sets in real-time – “not just faster…different!”UW eScience program

Chl

P1P6P8 P4

Cruise conditions, May 2012

Longitude

Latit

ude

P5 P3 P2

Francois Ribalet (UW)

Surface phytoplankton distributions defined sampling sites

Synechococcus

PicoEukaryotes

Larger Eukaryotes

Cryptophytes

P8 P3 P2P6 P5

Longitude-127 -126 -125-128

106

cell. L-1

050

100

150

0

50

150

0

40

80

0

2

4

P1P4

Francois Ribalet, Jarred Swalwell (UW)

A diatom example…

Bsi(μM

)

Diat

oms/

ml X

104

2

4

6

8

10

2

4

1

3

0

P8 P4P6 P5 P3 P2 P1

P8 P4P6 P5 P3 P2 P1Sara Bender, Megan Schatz, UW

C

P

Chlorophyll

Bsi(μM

)

Diat

oms/

ml X

104

2

4

6

8

10

2

4

1

3

0

P8 P4P6 P5 P3 P2 P1

P8 P4P6 P5 P3 P2 P1Sara Bender, Megan Schatz, UW

C

P

Pete Countway, Bigelow

Chlorophyll

IronTotal dissolved

(nM)

Total particulate

Jagruti Vendemati, Jim Moffett, USC

P8 P4P6 P5 P3 P2 P1

Randie Bundy, Kathy Barbeau, Scripps

P8 P4P6 P5 P3 P2 P1

Fe (L1)(nM)

Fe’(pM)

Nitrate(μM)

Silicate(μM)

Phosphate(μM)

P8 P4P6 P5 P3 P2 P1

5

Dissolved

Fe(nM

)

0.00

0.25

0.50

0.75

1.00

1.25

1.50

1.75

15

StaDept

P55

dF

P65

FLD

A1

RTA

0.001

0.01

0.1

1

P85P1

5

DA1

P2

Dreux Chappell, Bethany Jenkins, URI

Flavodoxin transcription: indicator of iron limitationThalassiosira oceanica

5

Dissolved

Fe(nM

)

0.00

0.25

0.50

0.75

1.00

1.25

1.50

1.75

15

StaDept

P55

dF

P65

FLD

A1

RTA

0.001

0.01

0.1

1

P85P1

5

DA1

P2

Dreux Chappell, Bethany Jenkins, URI

Flavodoxin transcription: indicator of iron limitationThalassiosira oceanica

Iron quotas

Sta. 8 Sta. 4 Sta. 1

μ mol

/mol

C

1

10

100

DetonulaPseudo-NitzschiaThalassiosiraChaetocerosCylindrotheca

P8 P4 P1

Less iron per cell as move offshore

Ben Twining, Sara Rauschenberg, Bigelow Lab

ManganeseTotal dissolved

(nM)

Total particulate(nM)

P8 P4P6 P5 P3 P2 P1

Jagruti Vendemati, Jim Moffett, USC

coastal and oceanic diatoms require more manganese (Mn) to grow in iron (Fe)-deficient than in Fe-sufficient seawater. …SODs[superoxide dismutase] contain Mn and may account for part of the observed increase in the Mn quota. Such an increased biochemical requirement may elevate the Mn content of low Fe diatoms…resulting in high Mn: Fe ratios in particulate matter in Fe-limited regions of the sea.

Fe/C

8-P-N 1 8-Thalassiosira 1-P-N 2 1-Detonula

umol

/mol

C

0

20

40

60

80

Mn/C

8-P-N 1 8-Thalassiosira 1-P-N 2 1-Detonula

umol

/mol

C

0

2

4

6

8

10

12

14

16

18

Mn/

C

Pn

Pn

Detonula

Fe/C

P8 P1

Pn

Pn

DetonulaThalassiosira

Thalassiosira

Ben Twining, Bigelow Lab

Fe/C

8-P-N 1 8-Thalassiosira 1-P-N 2 1-Detonula

umol

/mol

C

0

20

40

60

80

Mn/C

8-P-N 1 8-Thalassiosira 1-P-N 2 1-Detonula

umol

/mol

C

0

2

4

6

8

10

12

14

16

18

Mn/

C

Pn

Pn

Thalassiosira

Detonula

Fe/C

P8 P1

Pn

Pn

Thalassiosira Detonula

Ben Twining, Bigelow Lab

Fe

Mn

Mn

Diatom super oxide dismutase

Ryan Groussman, Micaela Parker, Sara Bender, UW

Fe

Mn

Mn

Diatom super oxide dismutase

Ryan Groussman, Micaela Parker, Sara Bender, UW

Fe

Mn

Mn

Diatom super oxide dismutase

Ryan Groussman, Micaela Parker, Sara Bender, UW

Cobalt (pM)

0 50 100 150 200 250 300

Zinc

(nM

)

0

2

4

6

8

10

0 1

Cob

alt

0

50

100

150

200

250

300

Substitution of Co for Zn?Diatom signature? (prefer Zn to Co)

Zinc

(nM

)

Carbonic anhydraseAlkaline phosphatase

Surface samples

Mak Saito (WHOI), Jagruti Vedemati, Jim Moffett (USC)

GeoMICS In-House Database Schema

Public prokaryote genomes

108

Single amplified prokaryote genomes

63

Moore Marine Microeukaryote EST datasets

15/85

Public eukaryotic genomes

29

Public EST datasets 10

SQL database• Sfams (Sharpton et al. 2012)• ProtClustDB (NCBI)

812,135 proteins and growing

Bryn Durham, Mary Ann Moran , UGa

Highlights of GEOMICS intact polar diacylglycerolipid (IP-DAG) data Patrick MartinBenjamin A.S. Van Mooy

WHOI

Concentrations of IP-DAGs (100+ different molecules) were determined across the transect.

Polyphosphate quantified in surface samples only.

Two of the clearest signals are at Station 2.• High SQDG/Chl-a• High Poly-P/Chl-a• Both signals are indicative of nutrient stress and

characteristic of oligotrophic gyre communities.

Comprehensive lipidomics dataset currently being collected.

Stn. 2

Stn. 2

Longitude

Jim Moffett, Eric Webb, Chris Suffrige, Sergio Senudo-Wilhemy, Jagruti Vedamati (USC), Ben Twining, Mike Sieraki, Ramunas Stepanauskas, Pete Countway, Sara Rauschenberg (Bigelow), A.J. Limardo, Alex Worden (MBARI), Randie Bundy, Kathy Barbeau (Scripps), Tim Mattes (U. Iowa),

Alyssa Kent, Adam Martiny (UC Irvine), Curtis Deutsch (UW), Craig Carlson (UCSB), Bryn Durham, Mary Ann Moran (UGa), Bethany Jenkins, Dreux Chappel, Leanne Pritchard (URI), Ginger Armbrust, Anitra Ingalls, Bob Morris, Francois Ribalet, Gabrielle Rocap, Michael Carlson, Jaci Saunders, Rachel Horak, Katherine Neal, Gwenn Hennon, Helena van Tol, Jarred Swalwell,

Sara Bender, Tony Bertagnolli, Wei Qin, Dave Stahl, Al Devol, David French, Laura Truxel, Bill Howe, Dan Halperin, Konstantin Wietz (UW), Ben van Mooy, Patrick Martin, Mak Saito,

Liz Kujawinski, Winn Johnson (WHOI), Greg Cutter, Chris Powell (ODU), Simone Alin (NOAA PMEL), Jessica Green (UO), Adrian Marchetti, Kim Delong (UNC),Ann Pearson, Hilary Close, Sarah Hurley,

Naomi Levine (Harvard), Karen Casciotti (Stanford), Carl Cerrano (SDS),Astrid Gaerdes (MPI) , Mick Follow (MIT)

GeoMICS: Global scale Microbial Interactions across Chemical

Surveys

GeoMICS: Global scale Microbial Interactions across Chemical

Surveys