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Environmental vulnerability of the global ocean epipelagic plankton community interactome.
Chaffron, Samuel; Delage, Erwan; Budinich, Marko; Vintache, Damien; Henry, Nicolas; Nef, Charlotte; Ardyna, Mathieu; Zayed, Ahmed A; Junger, Pedro C; Galand, Pierre E; Lovejoy, Connie; Murray, Alison E; Sarmento, Hugo; Acinas, Silvia G; Babin, Marcel; Iudicone, Daniele; Jaillon, Olivier; Karsenti, Eric; Wincker, Patrick; Karp-Boss, Lee; Sullivan, Matthew B; Bowler, Chris; de Vargas, Colomban; Eveillard, Damien.
Afiliação
  • Chaffron S; Université de Nantes, CNRS UMR 6004, LS2N, F-44000 Nantes, France. samuel.chaffron@univ-nantes.fr.
  • Delage E; Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans, Paris, France.
  • Budinich M; Université de Nantes, CNRS UMR 6004, LS2N, F-44000 Nantes, France.
  • Vintache D; Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans, Paris, France.
  • Henry N; Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans, Paris, France.
  • Nef C; Sorbonne Université, CNRS, Laboratoire Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, 29680 Roscoff, France.
  • Ardyna M; Université de Nantes, CNRS UMR 6004, LS2N, F-44000 Nantes, France.
  • Zayed AA; Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans, Paris, France.
  • Junger PC; Sorbonne Université, CNRS, Laboratoire Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, 29680 Roscoff, France.
  • Galand PE; Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans, Paris, France.
  • Lovejoy C; Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Université Paris, 75005 Paris, France.
  • Murray AE; Department of Earth System Science, Stanford University, Stanford, CA 94305, USA.
  • Sarmento H; Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, F-06230, Villefranche-sur-Mer, Paris, France.
  • Acinas SG; Department of Hydrobiology, Universidade Federal de São Carlos (UFSCar), Rodovia Washington Luiz, 13565-905 São Carlos, SP, Brazil.
  • Babin M; Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans, Paris, France.
  • Iudicone D; Sorbonne Université, CNRS, Laboratoire d'Ecogéochimie des Environnements Benthiques, LECOB, Banyuls-sur-Mer, 66500 Paris, France.
  • Jaillon O; Département de biologie, Faculté des sciences et Institut de biologie intégrative et des systèmes (IBIS) 1030, ave de la Médecine, Université Laval, Québec, QC, Canada.
  • Karsenti E; Division of Earth and Ecosystem Science, Desert Research Institute, Reno, NV 89512, USA.
  • Wincker P; Department of Hydrobiology, Universidade Federal de São Carlos (UFSCar), Rodovia Washington Luiz, 13565-905 São Carlos, SP, Brazil.
  • Sullivan MB; Department of Marine Biology and Oceanography, Institut de Ciències del Mar (CSIC), Barcelona 08003, Spain.
  • Bowler C; Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, F-06230, Villefranche-sur-Mer, Paris, France.
  • de Vargas C; Takuvik International Research Laboratory, Université Laval and CNRS, Québec, QC, Canada.
  • Eveillard D; Stazione Zoologica Anton Dohrn, Villa Comunale, Naples 80121, Italy.
Sci Adv ; 7(35)2021 Aug.
Article em En | MEDLINE | ID: mdl-34452910
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article