@article{RN256,
   author = {Chaffron, S. and Delage, E. and Budinich, M. and Vintache, D. and Henry, N. and Nef, C. and Ardyna, M. and Zayed, A. A. and Junger, P. C. and Galand, P. E. and Lovejoy, C. and Murray, A. E. and Sarmento, H. and Tara Oceans, coordinators and Acinas, S. G. and Babin, M. and Iudicone, D. and Jaillon, O. and Karsenti, E. and Wincker, P. and Karp-Boss, L. and Sullivan, M. B. and Bowler, C. and de Vargas, C. and Eveillard, D.},
   title = {Environmental vulnerability of the global ocean epipelagic plankton community interactome},
   journal = {Sci Adv},
   volume = {7},
   number = {35},
   note = {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
eng
Sci Adv. 2021 Aug 27;7(35). pii: 7/35/eabg1921. doi: 10.1126/sciadv.abg1921. Print 2021 Aug.},
   abstract = {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.},
   ISSN = {2375-2548 (Electronic)
2375-2548 (Linking)},
   DOI = {10.1126/sciadv.abg1921},
   url = {https://www.ncbi.nlm.nih.gov/pubmed/34452910},
   year = {2021},
   type = {Journal Article}
}

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B.","Bowler, C.","de Vargas, C.","Eveillard, D."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Chaffron"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Delage"],"firstnames":["E."],"suffixes":[]},{"propositions":[],"lastnames":["Budinich"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Vintache"],"firstnames":["D."],"suffixes":[]},{"propositions":[],"lastnames":["Henry"],"firstnames":["N."],"suffixes":[]},{"propositions":[],"lastnames":["Nef"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Ardyna"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Zayed"],"firstnames":["A.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Junger"],"firstnames":["P.","C."],"suffixes":[]},{"propositions":[],"lastnames":["Galand"],"firstnames":["P.","E."],"suffixes":[]},{"propositions":[],"lastnames":["Lovejoy"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Murray"],"firstnames":["A.","E."],"suffixes":[]},{"propositions":[],"lastnames":["Sarmento"],"firstnames":["H."],"suffixes":[]},{"propositions":[],"lastnames":["Tara","Oceans"],"firstnames":["coordinators"],"suffixes":[]},{"propositions":[],"lastnames":["Acinas"],"firstnames":["S.","G."],"suffixes":[]},{"propositions":[],"lastnames":["Babin"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Iudicone"],"firstnames":["D."],"suffixes":[]},{"propositions":[],"lastnames":["Jaillon"],"firstnames":["O."],"suffixes":[]},{"propositions":[],"lastnames":["Karsenti"],"firstnames":["E."],"suffixes":[]},{"propositions":[],"lastnames":["Wincker"],"firstnames":["P."],"suffixes":[]},{"propositions":[],"lastnames":["Karp-Boss"],"firstnames":["L."],"suffixes":[]},{"propositions":[],"lastnames":["Sullivan"],"firstnames":["M.","B."],"suffixes":[]},{"propositions":[],"lastnames":["Bowler"],"firstnames":["C."],"suffixes":[]},{"propositions":["de"],"lastnames":["Vargas"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Eveillard"],"firstnames":["D."],"suffixes":[]}],"title":"Environmental vulnerability of the global ocean epipelagic plankton community interactome","journal":"Sci Adv","volume":"7","number":"35","note":"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 eng Sci Adv. 2021 Aug 27;7(35). pii: 7/35/eabg1921. doi: 10.1126/sciadv.abg1921. Print 2021 Aug.","abstract":"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.","issn":"2375-2548 (Electronic) 2375-2548 (Linking)","doi":"10.1126/sciadv.abg1921","url":"https://www.ncbi.nlm.nih.gov/pubmed/34452910","year":"2021","bibtex":"@article{RN256,\r\n author = {Chaffron, S. and Delage, E. and Budinich, M. and Vintache, D. and Henry, N. and Nef, C. and Ardyna, M. and Zayed, A. A. and Junger, P. C. and Galand, P. E. and Lovejoy, C. and Murray, A. E. and Sarmento, H. and Tara Oceans, coordinators and Acinas, S. G. and Babin, M. and Iudicone, D. and Jaillon, O. and Karsenti, E. and Wincker, P. and Karp-Boss, L. and Sullivan, M. B. and Bowler, C. and de Vargas, C. and Eveillard, D.},\r\n title = {Environmental vulnerability of the global ocean epipelagic plankton community interactome},\r\n journal = {Sci Adv},\r\n volume = {7},\r\n number = {35},\r\n note = {Chaffron, Samuel\r\nDelage, Erwan\r\nBudinich, Marko\r\nVintache, Damien\r\nHenry, Nicolas\r\nNef, Charlotte\r\nArdyna, Mathieu\r\nZayed, Ahmed A\r\nJunger, Pedro C\r\nGaland, Pierre E\r\nLovejoy, Connie\r\nMurray, Alison E\r\nSarmento, Hugo\r\nAcinas, Silvia G\r\nBabin, Marcel\r\nIudicone, Daniele\r\nJaillon, Olivier\r\nKarsenti, Eric\r\nWincker, Patrick\r\nKarp-Boss, Lee\r\nSullivan, Matthew B\r\nBowler, Chris\r\nde Vargas, Colomban\r\nEveillard, Damien\r\neng\r\nSci Adv. 2021 Aug 27;7(35). pii: 7/35/eabg1921. doi: 10.1126/sciadv.abg1921. Print 2021 Aug.},\r\n abstract = {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.},\r\n ISSN = {2375-2548 (Electronic)\r\n2375-2548 (Linking)},\r\n DOI = {10.1126/sciadv.abg1921},\r\n url = {https://www.ncbi.nlm.nih.gov/pubmed/34452910},\r\n year = {2021},\r\n type = {Journal Article}\r\n}\r\n\r\n","author_short":["Chaffron, S.","Delage, E.","Budinich, M.","Vintache, D.","Henry, N.","Nef, C.","Ardyna, M.","Zayed, A. A.","Junger, P. C.","Galand, P. E.","Lovejoy, C.","Murray, A. E.","Sarmento, H.","Tara Oceans, c.","Acinas, S. G.","Babin, M.","Iudicone, D.","Jaillon, O.","Karsenti, E.","Wincker, P.","Karp-Boss, L.","Sullivan, M. 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