Abstract
Predicting responses of plankton to variations in essential nutrients is hampered by limited in situ measurements, a poor understanding of community composition, and the lack of reference gene catalogs for key taxa. Iron is a key driver of plankton dynamics and, therefore, of global biogeochemical cycles and climate. To assess the impact of iron availability on plankton communities, we explored the comprehensive bio-oceanographic and bio-omics data sets from Tara Oceans in the context of the iron products from two state-of-the-art global scale biogeochemical models. We obtained novel information about adaptation and acclimation toward iron in a range of phytoplankton, including picocyanobacteria and diatoms, and identified whole subcommunities covarying with iron. Many of the observed global patterns were recapitulated in the Marquesas archipelago, where frequent plankton blooms are believed to be caused by natural iron fertilization, although they are not captured in large-scale biogeochemical models. This work provides a proof of concept that integrative analyses, spanning from genes to ecosystems and viruses to zooplankton, can disentangle the complexity of plankton communities and can lead to more accurate formulations of resource bioavailability in biogeochemical models, thus improving our understanding of plankton resilience in a changing environment.
Original language | English |
---|---|
Pages (from-to) | 391-419 |
Number of pages | 29 |
Journal | Global Biogeochemical Cycles |
Volume | 33 |
Issue number | 3 |
DOIs | |
Publication status | Published - Mar 2019 |
Externally published | Yes |
Keywords
- iron response
- meta-omics
- species networks
- system biology
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In: Global Biogeochemical Cycles, Vol. 33, No. 3, 03.2019, p. 391-419.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Community-Level Responses to Iron Availability in Open Ocean Plankton Ecosystems
AU - Tara Oceans Coordinators
AU - Caputi, Luigi
AU - Carradec, Quentin
AU - Eveillard, Damien
AU - Kirilovsky, Amos
AU - Pelletier, Eric
AU - Pierella Karlusich, Juan J.
AU - Rocha Jimenez Vieira, Fabio
AU - Villar, Emilie
AU - Chaffron, Samuel
AU - Malviya, Shruti
AU - Scalco, Eleonora
AU - Acinas, Silvia G.
AU - Alberti, Adriana
AU - Aury, Jean Marc
AU - Benoiston, Anne Sophie
AU - Bertrand, Alexis
AU - Biard, Tristan
AU - Bittner, Lucie
AU - Boccara, Martine
AU - Brum, Jennifer R.
AU - Brunet, Christophe
AU - Busseni, Greta
AU - Carratalà, Anna
AU - Claustre, Hervé
AU - Coelho, Luis Pedro
AU - Colin, Sébastien
AU - D'Aniello, Salvatore
AU - Da Silva, Corinne
AU - Del Core, Marianna
AU - Doré, Hugo
AU - Gasparini, Stéphane
AU - Kokoszka, Florian
AU - Jamet, Jean Louis
AU - Lejeusne, Christophe
AU - Lepoivre, Cyrille
AU - Lescot, Magali
AU - Lima-Mendez, Gipsi
AU - Lombard, Fabien
AU - Lukeš, Julius
AU - Maillet, Nicolas
AU - Madoui, Mohammed Amin
AU - Martinez, Elodie
AU - Mazzocchi, Maria Grazia
AU - Néou, Mario B.
AU - Paz-Yepes, Javier
AU - Poulain, Julie
AU - Ramondenc, Simon
AU - Romagnan, Jean Baptiste
AU - Roux, Simon
AU - Salvagio Manta, Daniela
N1 - Funding Information: The Tara Oceans consortium acknowledges the origin of samples from Stations TARA_113-125 as French Polynesia and that they were collected under Convention number 3534 (Convention relatif à la campagne de prélévements et de mésures de Tara Oceans en Polynesie Francaise) dated 16 June 2011. We thank the commitment of the following people and sponsors who made this singular expedition possible: CNRS (in particular Groupement de Recherche GDR3280, the Mission Pour l'Interdisciplinarité – Project MEGALODOM, and the Fédération de Recherche GO-SEE FR2022), European Molecular Biology Laboratory (EMBL), Genoscope/CEA, the French Government “Investissements d'Avenir” programs Oceanomics (ANR-11-BTBR-0008), MEMO LIFE (ANR-10-LABX-54), PSL* Research University (ANR-11-IDEX-0001-02), and FRANCE GENOMIQUE (ANR-10-INBS-09), Fund for Scientific Research – Flanders, VIB, Stazione Zoologica Anton Dohrn, UNIMIB, ANR (projects “PHYTBACK/ANR-2010-1709-01,” POSEIDON/ANR-09-BLAN-0348, PROMETHEUS/ANR-09-PCS-GENM-217, TARA-GIRUS/ANR-09-PCS-GENM-218, SAMOSA/ANR-13-ADAP-0010, CINNAMON/ANR-17-CE02-0014-01), EU FP7 (MicroB3/No. 287589), ERC Advanced Grant Award (Diatomite: 294823), the LouisD foundation of the Institut de France, a Radcliffe Institute Fellowship from Harvard University to C. B., JSPS/MEXT KAKENHI (26430184, 16H06437, and 16KT0020), The Canon Foundation (203143100025), Gordon and Betty Moore Foundation (award #3790) and the US National Science Foundation (awards OCE#1536989 and OCE#1829831) to MBS, agnès b., the Veolia Environment Foundation, Region Bretagne, World Courier, Illumina, Cap L'Orient, the EDF Foundation EDF Diversiterre, FRB, the Prince Albert II de Monaco Foundation, Etienne Bourgois, the Fonds Français pour l'Environnement Mondial, the TARA schooner and its captain and crew. Tara Oceans would not exist without continuous support from 23 institutes (http://oceans.taraexpeditions.org). This article is contribution number 85 of Tara Oceans. The authors have deposited the data in the following repositories: Sequencing data are archived at ENA (http://www.ebi.ac.uk/ena/) under the accession number PRJEB4352 for the metagenomics data and PRJEB6609 for the metatranscriptomics data (Carradec et al.,); environmental data are available at PANGAEA (https://www.pangaea.de/). Funding Information: The Tara Oceans consortium acknowledges the origin of samples from Stations TARA_113‐125 as French Polynesia and that they were collected under Convention number 3534 (Convention relatif à la campagne de prélévements et de mésures de Tara Oceans en Polynesie Francaise) dated 16 June 2011. We thank the commitment of the following people and sponsors who made this singular expedition possible: CNRS (in particular Groupement de Recherche GDR3280, the Mission Pour l'Interdisciplinarité – Project MEGALODOM, and the Fédération de Recherche GO‐SEE FR2022), European Molecular Biology Laboratory (EMBL), Genoscope/CEA, the French Government “Investissements d'Avenir” programs Oceanomics (ANR‐ 11‐BTBR‐0008), MEMO LIFE (ANR‐10‐ LABX‐54), PSL* Research University (ANR‐11‐IDEX‐0001‐02), and FRANCE GENOMIQUE (ANR‐10‐INBS‐09), Fund for Scientific Research – Flanders, VIB, Stazione Zoologica Anton Dohrn, UNIMIB, ANR (projects “PHYTBACK/ANR‐2010‐1709‐01,” POSEIDON/ANR‐09‐BLAN‐0348, PROMETHEUS/ANR‐09‐PCS‐GENM‐ 217, TARA‐GIRUS/ANR‐09‐PCS‐ GENM‐218, SAMOSA/ANR‐13‐ADAP‐ 0010, CINNAMON/ANR‐17‐CE02‐ 0014‐01), EU FP7 (MicroB3/No. 287589), ERC Advanced Grant Award (Diatomite: 294823), the LouisD foundation of the Institut de France, a Radcliffe Institute Fellowship from Harvard University to C. B., JSPS/MEXT KAKENHI (26430184, 16H06437, and 16KT0020), The Canon Foundation (203143100025), Gordon and Betty Moore Foundation (award #3790) and the US National Science Foundation (awards OCE#1536989 and OCE#1829831) to MBS, agnès b., the Veolia Environment Foundation, Region Bretagne, World Courier, Illumina, Cap L'Orient, the EDF Foundation EDF Diversiterre, FRB, the Prince Albert II de Monaco Foundation, Etienne Bourgois, the Fonds Français pour l'Environnement Mondial, the TARA schooner and its captain and crew. Tara Oceans would not exist without continuous support from 23 institutes (http://oceans. taraexpeditions.org). This article is contribution number 85 of Tara Oceans. The authors have deposited the data in the following repositories: Sequencing data are archived at ENA (http://www.ebi.ac.uk/ena/) under the accession number PRJEB4352 for the metagenomics data and PRJEB6609 for the metatranscriptomics data (Carradec et al., 2018); environmental data are available at PANGAEA (https://www.pangaea.de/). Publisher Copyright: © 2019. American Geophysical Union. All Rights Reserved.
PY - 2019/3
Y1 - 2019/3
N2 - Predicting responses of plankton to variations in essential nutrients is hampered by limited in situ measurements, a poor understanding of community composition, and the lack of reference gene catalogs for key taxa. Iron is a key driver of plankton dynamics and, therefore, of global biogeochemical cycles and climate. To assess the impact of iron availability on plankton communities, we explored the comprehensive bio-oceanographic and bio-omics data sets from Tara Oceans in the context of the iron products from two state-of-the-art global scale biogeochemical models. We obtained novel information about adaptation and acclimation toward iron in a range of phytoplankton, including picocyanobacteria and diatoms, and identified whole subcommunities covarying with iron. Many of the observed global patterns were recapitulated in the Marquesas archipelago, where frequent plankton blooms are believed to be caused by natural iron fertilization, although they are not captured in large-scale biogeochemical models. This work provides a proof of concept that integrative analyses, spanning from genes to ecosystems and viruses to zooplankton, can disentangle the complexity of plankton communities and can lead to more accurate formulations of resource bioavailability in biogeochemical models, thus improving our understanding of plankton resilience in a changing environment.
AB - Predicting responses of plankton to variations in essential nutrients is hampered by limited in situ measurements, a poor understanding of community composition, and the lack of reference gene catalogs for key taxa. Iron is a key driver of plankton dynamics and, therefore, of global biogeochemical cycles and climate. To assess the impact of iron availability on plankton communities, we explored the comprehensive bio-oceanographic and bio-omics data sets from Tara Oceans in the context of the iron products from two state-of-the-art global scale biogeochemical models. We obtained novel information about adaptation and acclimation toward iron in a range of phytoplankton, including picocyanobacteria and diatoms, and identified whole subcommunities covarying with iron. Many of the observed global patterns were recapitulated in the Marquesas archipelago, where frequent plankton blooms are believed to be caused by natural iron fertilization, although they are not captured in large-scale biogeochemical models. This work provides a proof of concept that integrative analyses, spanning from genes to ecosystems and viruses to zooplankton, can disentangle the complexity of plankton communities and can lead to more accurate formulations of resource bioavailability in biogeochemical models, thus improving our understanding of plankton resilience in a changing environment.
KW - iron response
KW - meta-omics
KW - species networks
KW - system biology
UR - http://www.scopus.com/inward/record.url?scp=85062509976&partnerID=8YFLogxK
U2 - 10.1029/2018GB006022
DO - 10.1029/2018GB006022
M3 - Article
AN - SCOPUS:85062509976
SN - 0886-6236
VL - 33
SP - 391
EP - 419
JO - Global Biogeochemical Cycles
JF - Global Biogeochemical Cycles
IS - 3
ER -