FN Archimer Export Format PT J TI Community-Level Responses to Iron Availability in Open Ocean Planktonic Ecosystems BT AF CAPUTI, Luigi CARRADEC, Quentin EVEILLARD, Damien KIRILOVSKY, Amos PELLETIER, Eric KARLUSICH, Juan J. Pierella VIEIRA, Fabio Rocha Jimenez VILLAR, Emilie CHAFFRON, Samuel MALVIYA, Shruti SCALCO, Eleonora ACINAS, Silvia G. ALBERTI, Adriana AURY, Jean-Marc BENOISTON, Anne-Sophie BERTRAND, Arnaud BIARD, Tristan BITTNER, Lucie BOCCARA, Martine BRUM, Jennifer R. BRUNET, Cedric BUSSENI, Greta CARRATALA, Anna CLAUSTRE, Herve COELHO, Luis Pedro COLIN, Sbastien D'ANIELLO, Salvatore DA SILVA, Corinne DEL CORE, Marianna DORE, Hugo GASPARINI, Stephane KOKOSZKA, Florian JAMET, Jean-Louis LEJEUSNE, Christophe LEPOIVRE, Cyrille LESCOT, Magali LIMA-MENDEZ, Gipsi LOMBARD, Fabien LUKES, Julius MAILLET, Nicolas MADOUI, Mohammed-Amin MARTINEZ, Elodie MAZZOCCHI, Maria Grazia NEOU, Mario B. PAZ-YEPES, Javier POULAIN, Julie RAMONDENC, Simon ROMAGNAN, Jean-Baptiste ROUX, Simon MANTA, Daniela Salvagio SANGES, Remo SPEICH, Sabrina SPROVIERI, Mario SUNAGAWA, Shinichi TAILLANDIER, Vincent TANAKA, Atsuko TIRICHINE, Leila TROTTIER, Camille UITZ, Julia VELUCHAMY, Alaguraj VESELA, Jana VINCENT, Flora YAU, Sheree KANDELS-LEWIS, Stefanie SEARSON, Sarah DIMIER, Cline PICHERAL, Marc BORK, Peer BOSS, Emmanuel DE VARGAS, Colomban FOLLOWS, Michael J. GRIMSLEY, Nigel GUIDI, Lionel HINGAMP, Pascal KARSENTI, Eric SORDINO, Paolo STEMMANN, Lars SULLIVAN, Matthew B. TAGLIABUE, Alessandro ZINGONE, Adriana GARCZAREK, Laurence D'ORTENZIO, Fabrizio TESTOR, Pierre NOT, Fabrice D'ALCALA, Maurizio Ribera WINCKER, Patrick BOWLER, Chris IUDICONE, Daniele GORSKY, Gabriel JAILLON, Olivier KARP-BOSS, Lee KRZIC, Uros OGATA, Hiroyuki PESANT, Stephane RAES, Jeroen REYNAUD, Emmanuel G. SARDET, Christian SIERACKI, Mike VELAYOUDON, Didier WEISSENBACH, Jean AS 1:1;2:2,3,4,5;3:5,6;4:7,8;5:2,3,4,5;6:5,7;7:5,7;8:7,9;9:7,8;10:7,10;11:1;12:11;13:2,5;14:2;15:7,12;16:2;17:9;18:7,9,12;19:7;20:13,14;21:1;22:1;23:15;24:16;25:17;26:5,7,9;27:1;28:3,5;29:18;30:9;31:16;32:1,7,19;33:20;34:1,21;35:22;36:5,23;37:24,25;38:5,16;39:26,27;40:1,28;41:2,3,4;42:29;43:1;44:2,3,4;45:8;46:2,5;47:16;48:30;49:14;50:18;51:1;52:5,19;53:18;54:17;55:16;56:7;57:7;58:6;59:16;60:7;61:26;62:7;63:;64:17;65:16;66:7,9;67:5,16;68:17;69:;70:5,9;71:;72:5;73:5,16;74:5,23;75:5,7;76:1;77:5,16;78:14;79:;80:1;81:9;82:16;83:;84:9;85:1;86:2,3,4,5;87:5,7;88:1;89:16;90:2,3;91:38;92:44;93:45;94:46,47;95:24;96:48;97:16;98:49,50;99:51;100:2,3,4; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:;25:;26:;27:;28:;29:;30:;31:;32:;33:;34:;35:;36:;37:;38:;39:;40:;41:;42:;43:;44:;45:;46:;47:;48:PDG-RBE-EMH;49:;50:;51:;52:;53:;54:;55:;56:;57:;58:;59:;60:;61:;62:;63:;64:;65:;66:;67:;68:;69:;70:;71:;72:;73:;74:;75:;76:;77:;78:;79:;80:;81:;82:;83:;84:;85:;86:;87:;88:;89:;90:;91:;92:;93:;94:;95:;96:;97:;98:;99:;100:; C1 Stn Zool Anton Dohrn, Naples, Italy. 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C2 STN ZOOL ANTON DOHRN, ITALY CEA, FRANCE CNRS, FRANCE UNIV PARIS SACLAY, FRANCE RES FEDERAT STUDY GLOBAL OCEAN SYST ECOL & EVOLUT, FRANCE UNIV NANTES, FRANCE PSL UNIV PARIS, FRANCE CTR RECH CORDELIERS, FRANCE UNIV PARIS 06, FRANCE TATA INST FUNDAMENTAL RES, INDIA CSIC, SPAIN MNHN, FRANCE UNIV LOUISIANA STATE, USA UNIV OHIO STATE, USA EPFL, SWITZERLAND UNIV PARIS 06, FRANCE EMBL, GERMANY INST ANTHROP IMPACTS & SUSTAINABIL MARINE ENVIRON, ITALY PSL RES UNIV, FRANCE UNIV TOULON, FRANCE UNIV AVIGNON, FRANCE UNIV AIX MARSEILLE, FRANCE UNIV TOULON, FRANCE UNIV KATHOLIEKE LEUVEN, BELGIUM VIB, BELGIUM BIOL CTR CAS, CZECH REPUBLIC UNIV S BOHEMIA, CZECH REPUBLIC INST PASTEUR, FRANCE IRD, FRANCE IFREMER, FRANCE INST MICROBIOL, SWITZERLAND UNIV NANTES, FRANCE UNIV KING ABDULLAH, SAUDI ARABIA UNIV PARIS 06, FRANCE DIRECTORS RES EUROPEAN MOL BIOL LAB, GERMANY MAX DELBRUCK CTR MOL MED, GERMANY UNIV WURZBURG, GERMANY UNIV MAINE US, USA UNIV PARIS 06, FRANCE MIT, USA UNIV HAWAII, USA UNIV LIVERPOOL, UK UNIV PARIS 06, FRANCE EMBL, GERMANY UNIV KYOTO, JAPAN UNIV BREMEN MARUM, GERMANY UNIV BREMEN, GERMANY UNIV COLL DUBLIN, IRELAND NATL SCI FDN, USA BIGELOW LAB OCEAN SCI, USA DVIP CONSULTING, FRANCE SI NANTES SE PDG-RBE-EMH UM LOPS IN WOS Ifremer UPR WOS Cotutelle UMR copubli-france copubli-p187 copubli-europe copubli-univ-france copubli-int-hors-europe copubli-sud IF 4.608 TC 57 UR https://archimer.ifremer.fr/doc/00475/58680/61184.pdf https://archimer.ifremer.fr/doc/00475/58680/61185.pdf https://archimer.ifremer.fr/doc/00475/58680/61186.pdf https://archimer.ifremer.fr/doc/00475/58680/61187.pdf https://archimer.ifremer.fr/doc/00475/58680/61189.pdf https://archimer.ifremer.fr/doc/00475/58680/61190.pdf https://archimer.ifremer.fr/doc/00475/58680/61191.pdf https://archimer.ifremer.fr/doc/00475/58680/61192.pdf https://archimer.ifremer.fr/doc/00475/58680/61193.pdf https://archimer.ifremer.fr/doc/00475/58680/61194.xlsx https://archimer.ifremer.fr/doc/00475/58680/61195.xlsx https://archimer.ifremer.fr/doc/00475/58680/61196.xlsx LA English DT Article 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 ‐omics datasets 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 towards iron in a range of phytoplankton, including picocyanobacteria and diatoms, and identified whole sub‐communities co‐varying 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. Plain Language Summary Marine phytoplankton require iron for their growth and proliferation. According to John Martin's iron hypothesis, fertilizing the ocean with iron could dramatically increase photosynthetic activity, thus representing a biological means to counteract global warming. However, while there is a constantly growing knowledge of how iron is distributed in the ocean and about its role in cellular processes in marine photosynthetic groups such as diatoms and cyanobacteria, less is known about how iron availability shapes plankton communities and how they respond to it. In the present work, we exploited recently published Tara Oceans datasets to address these questions. We firstly defined specific subcommunities of co‐occurring organisms that are directly related to iron availability in the oceans. We then identified specific patterns of adaptation and acclimation to iron in different groups of phytoplankton. Finally, we validated our global results at local scale, specifically in the Marquesas archipelago, where recurrent iron‐driven phytoplankton blooms are believed to be a result of iron fertilization. By integrating global data with a localized response we provide a framework for understanding the resilience of plankton ecosystems in a changing environment. PY 2019 PD MAR SO Global Biogeochemical Cycles SN 0886-6236 PU American Geophysical Union (AGU) VL 33 IS 3 UT 000464651600009 BP 391 EP 419 DI 10.1029/2018GB006022 ID 58680 ER EF