期刊
SCIENCE ADVANCES
卷 7, 期 35, 页码 -出版社
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.abg1921
关键词
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资金
- CNRS (Groupement de Recherche GDR3280)
- European Molecular Biology Laboratory (EMBL)
- Genoscope/CEA
- French Ministry of Research
- French Government Investissements d'Avenir programme OCEANOMICS [ANR-11-BTBR-0008]
- French Government Investissements d'Avenir programme FRANCE GENOMIQUE [ANR-10-INBS-09-08]
- French Government Investissements d'Avenir programme MEMO LIFE [ANR-10-LABX-54]
- French Government Investissements d'Avenir programme PSL* Research University [ANR-11-IDEX-0001-02]
- Helmut Horten Foundation
- MEXT/JSPS/KAKENHI [16H06429, 16K21723, 16H06437, 18H02279]
- Spanish Ministry of Economy and Competitiveness [MAGGY-CTM2017-87736-R]
- ERC [835067]
- CNRS MITI through the interdisciplinary program Modelisation du Vivant (GOBITMAP grant)
- H2020 European Commission project AtlantECO [862923]
- RFI ATLANSTIC2020 grant (PROBIOSTIC grant)
- French Facility for Global Environment (FFEM) as part of the Ocean Plankton, Climate and Developmentproject
- Fundacao de Amparo a Pesquisa do Estado de Sao Paulo, FAPESP [2017/26786-1]
- Brazilian Research Council (CNPq) [309514/2017-7]
- FAPESP [2014/14139-3]
- Natural Sciences and Engineering Council (NSERC) Canada
- Prince Albert II de Monaco Foundation
- Veolia Foundation
- Region Bretagne
- Lorient Agglomeration
- Serge Ferrari
- World Courier
- KAUST
- ETH
- CNRS (Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans-GOSEE)
- Grants-in-Aid for Scientific Research [18H02279] Funding Source: KAKEN
- European Research Council (ERC) [835067] Funding Source: European Research Council (ERC)
Using Tara Oceans sampling, a global ocean cross-domain plankton co-occurrence network was identified and niche modeling was used to assess its vulnerabilities to environmental change. The results showed that the plankton interactome self-organized latitudinally into marine biomes and was more connected poleward. These findings provide baseline approaches to assess community structure and organismal interactions under climate scenarios, while identifying plausible plankton bioindicators for monitoring climate change in the ocean.
Marine plankton form complex communities of interacting organisms at the base of the food web, which sustain oceanic biogeochemical cycles and help regulate climate. Although global surveys are starting to reveal ecological drivers underlying planktonic community structure and predicted climate change responses, it is unclear how community-scale species interactions will be affected by climate change. Here, we leveraged Tara Oceans sampling to infer a global ocean cross-domain plankton co-occurrence network-the community interactome-and used niche modeling to assess its vulnerabilities to environmental change. Globally, this revealed a plankton interactome self-organized latitudinally into marine biomes (Trades, Westerlies, Polar) and more connected poleward. Integrated niche modeling revealed biome-specific community interactome responses to environmental change and forecasted the most affected lineages for each community. These results provide baseline approaches to assess community structure and organismal interactions under climate scenarios while identifying plausible plankton bioindicators for ocean monitoring of climate change.
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