Work

Genomic evidence for global ocean plankton biogeography shaped by large-scale current systems

Year: 2022
Type: article
Abstract: Biogeographical studies have traditionally focused on readily visible organisms, but recent technological advances are enabling analyses of the large-scale distribution of microscopic organisms, whose biogeographical patterns have long been debated. Here we assessed the global structure of plankton geography and its relation to the biological, chemical and physical context of the ocean (the ‘seascape’) by analyzing metagenomes of plankton communities sampled across oceans during the Tara Oceans expedition, in light of environmental data and ocean current transport. Using a consistent approach across organismal sizes that provides unprecedented resolution to measure changes in genomic composition between communities, we report a pan-ocean, size-dependent plankton biogeography overlying regional heterogeneity. We found robust evidence for a basin-scale impact of transport by ocean currents on plankton biogeography, and on a characteristic timescale of community dynamics going beyond simple seasonality or life history transitions of plankton.
Source: eLife
Institutions: Centre National de la Recherche Scientifique, Universitat Pompeu Fabra, Station Biologique de Roscoff, Sorbonne Université, Adaptation et Diversité en Milieu Marin, Institut de Biologia Evolutiva, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Stazione Zoologica Anton Dohrn, CEA DAM Île-de-France, Université de Toulon, Aix-Marseille Université, Université Paris-Saclay, Génomique Métabolique du Genoscope, Genoscope, Institut Méditerranéen d’Océanologie, Institut de Recherche pour le Développement, Tara Oceans Systems Ecology & Evolution, Institut de biologie François Jacob, University of British Columbia, Yale University, University of British Columbia, Okanagan Campus, Institut Pasteur, Université Paris Cité, Institut national de recherche en sciences et technologies du numérique, Institut de Recherche en Informatique et Systèmes Aléatoires, GENSCALE: Algorithmes pour les données génomiques : passage à l'échelle, précision, frugalité, Université de Rennes, Laboratoire d’Océanographie de Villefranche, University of Copenhagen, University of Bremen, Max Planck Institute for Marine Microbiology, Lundbeck Foundation, University of Padua, National Interuniversity Consortium for the Physical Sciences of Matter, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Mathématiques et Informatique Appliquées du Génome à l'Environnement, École Centrale de Nantes, Laboratoire des Sciences du Numérique de Nantes, Université de Nantes, Nantes Université, CEA Paris-Saclay, University of Hawaiʻi at Mānoa, University of Hawaii System, Université Pierre-et-Marie-Curie, The Ohio State University, Inserm, Université Paris Sciences et Lettres, École Normale Supérieure - PSL, Institut de Biologie de l'École Normale Supérieure, European Molecular Biology Laboratory, European Molecular Biology Laboratory, European Molecular Biology Laboratory, European Molecular Biology Laboratory, European Molecular Biology Laboratory, Louisiana State University, Yonsei University, University of Würzburg, Max Delbrück Center, ETH Zurich, Institute of Microbiology, Institut Universitaire de France, University of Maine, University of Arizona
Language: English
Subfield: Ecology
Open Access status: gold
Estimated APC paid: $2,500
OpenAlex ID: W4287869566
FWCI: 9.825
Cites: 76
Cited by: 111
Related to: 10