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

Daniel Richter; Romain Watteaux; Thomas Vannier; Jade Leconte; Paul Frémont; Gabriel Reygondeau; Nicolas Maillet; Nicolas Henry; Gaëtan Benoit; Antonio Fernandez-Guerra; Samir Suweis; Romain Narci; Cédric Berney; Damien Eveillard; Frédérick Gavory; Lionel Guidi; Karine Labadie; Eric Mahieu; Julie Poulain; Sarah Romac; Simon Roux; Céline Dimier; Stefanie Kandels; Marc Picheral; Sarah Searson; Stéphane Pesant; Jean-Marc Aury; Jennifer Brum; Claire Lemaitre; Eric Pelletier; Peer Bork; Shinichi Sunagawa; Lee Karp-Boss; Chris Bowler; Matthew Sullivan; Eric Karsenti; Mahendra Mariadassou; Ian Probert; Pierre Peterlongo; Patrick Wincker; Colomban de Vargas; Maurizio Ribera d'Alcalà; Daniele Iudicone; Olivier Jaillon

Preprints, Working Papers, ...

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

Daniel Richter ¹ Romain Watteaux ² Thomas Vannier ³ Jade Leconte ⁴ Paul Frémont ⁵ Gabriel Reygondeau ⁶ Nicolas Maillet ⁷ Nicolas Henry ¹ Gaëtan Benoit ⁸ Antonio Fernandez-Guerra ⁹ Samir Suweis ^{10, 11} Romain Narci ¹² Cédric Berney ¹³ Damien Eveillard ¹⁴ Frédérick Gavory ⁵ Lionel Guidi ¹⁵ Karine Labadie ¹⁶ Eric Mahieu ¹⁵ Julie Poulain ⁵ Sarah Romac ¹³ Simon Roux ¹⁷ Céline Dimier ¹³ Stefanie Kandels ¹⁸ Marc Picheral ¹⁵ Sarah Searson ¹⁵ Stéphane Pesant ¹⁹ Jean-Marc Aury ⁵ Jennifer Brum ²⁰ Claire Lemaitre ²¹ Eric Pelletier ⁵ Peer Bork ²² Shinichi Sunagawa ²² Lee Karp-Boss ²³ Chris Bowler ¹⁸ Matthew Sullivan ²⁴ Eric Karsenti ¹⁸ Mahendra Mariadassou ¹² Ian Probert ¹³ Pierre Peterlongo ²¹ Patrick Wincker ⁵ Colomban de Vargas ¹³ Maurizio Ribera d'Alcalà ²⁵ Daniele Iudicone ²⁵ Olivier Jaillon ⁵

1 AD2M - Adaptation et diversité en milieu marin

2 CMLA - Centre de Mathématiques et de Leurs Applications

3 MIO - Institut méditerranéen d'océanologie

4 IG - Institut de Génomique d'Evry

5 GENOSCOPE - Genoscope - Centre national de séquençage [Evry]

6 UBC - University of British Columbia

7 Hub Bioinformatique et Biostatistique - Bioinformatics and Biostatistics HUB

8 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires

9 Max Planck Institute for Marine Microbiology

10 Dipartimento di Fisica e Astronomia "Galileo Galilei"

11 CNISM - Consorzio Nazionale Interuniversitario per le Scienze FIsiche della Materia

12 MaIAGE - Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas]

13 SBR - Station biologique de Roscoff

14 LINA - Laboratoire d'Informatique de Nantes Atlantique

15 LOV - Laboratoire d'océanographie de Villefranche

16 JACOB - Institut de Biologie François JACOB

17 OSU - Ohio State University [Columbus]

18 IBENS - Institut de biologie de l'ENS Paris (UMR 8197/1024)

19 MARUM - Center for Marine Environmental Sciences [Bremen]

20 EEB - Ecology and Evolutionary Biology [Tucson]

21 GenScale - Scalable, Optimized and Parallel Algorithms for Genomics

Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE

22 EMBL - European Molecular Biology Laboratory [Heidelberg]

23 University of Maine

24 University of Arizona

25 SZN - Stazione Zoologica Anton Dohrn

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 debated1,2. The most prominent global biogeography of marine plankton was derived by Longhurst3 based on parameters principally associated with photosynthetic plankton. Localized studies of selected plankton taxa or specific organismal sizes1,4–7 have mapped community structure and begun to assess the roles of environment and ocean current transport in shaping these patterns2,8. Here we assess global plankton biogeography and its relation to the biological, chemical and physical context of the ocean (the ‘seascape’) by analyzing 24 terabases of metagenomic sequence data and 739 million metabarcodes from the Tara Oceans expedition in light of environmental data and simulated ocean current transport. In addition to significant local heterogeneity, viral, prokaryotic and eukaryotic plankton communities all display near steady-state, large-scale, size-dependent biogeographical patterns. Correlation analyses between plankto transport time and metagenomic or environmental dissimilarity reveal the existence of basin-scale biological and environmental continua emerging within the main current systems. Across oceans, there is a measurable, continuous change within communities and environmental factors up to an average of 1.5 years of travel time. Modulation of plankton communities during transport varies with organismal size, such that the distribution of smaller plankton best matches Longhurst biogeochemical provinces, whereas larger plankton group into larger provinces. Together these findings provide an integrated framework to interpret plankton community organization in its physico-chemical context, paving the way to a better understanding of oceanic ecosystem functioning in a changing global environment.

Document type :

Preprints, Working Papers, ...

Domain :

Life Sciences [q-bio] / Ecology, environment

Computer Science [cs] / Bioinformatics [q-bio.QM]

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