Environmental vulnerability of the global ocean epipelagic plankton community interactome.

Samuel Chaffron, Erwan Delage, Marko Budinich, Damien Vintache, Nicolas Henry, Charlotte Nef, Mathieu Ardyna, Ahmed A Zayed, Pedro C Junger, Pierre E Galand, Connie Lovejoy, Alison E Murray, Hugo Sarmento, Silvia G Acinas, Silvia G Acinas, Daniele Ludicone, Daniele Ludicone, Olivier Jaillon, Eric Karsenti, Patrick WinckerPatrick Wincker, Matthew B Sullivan, Chris Bowler, Colomban de Vargas, Damien Eveillard

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


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 $\textit{Tara}$ 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.
Original languageEnglish (US)
Pages (from-to)eabg1921
JournalScience advances
Issue number35
StatePublished - Aug 28 2021
Externally publishedYes


Dive into the research topics of 'Environmental vulnerability of the global ocean epipelagic plankton community interactome.'. Together they form a unique fingerprint.

Cite this