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      Disentangling the mechanisms shaping the surface ocean microbiota

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          Abstract

          Background

          The ocean microbiota modulates global biogeochemical cycles and changes in its configuration may have large-scale consequences. Yet, the underlying ecological mechanisms structuring it are unclear. Here, we investigate how fundamental ecological mechanisms ( selection, dispersal and ecological drift) shape the smallest members of the tropical and subtropical surface-ocean microbiota: prokaryotes and minute eukaryotes (picoeukaryotes). Furthermore, we investigate the agents exerting abiotic selection on this assemblage as well as the spatial patterns emerging from the action of ecological mechanisms. To explore this, we analysed the composition of surface-ocean prokaryotic and picoeukaryotic communities using DNA-sequence data (16S- and 18S-rRNA genes) collected during the circumglobal expeditions Malaspina- 2010 and TARA- Oceans.

          Results

          We found that the two main components of the tropical and subtropical surface-ocean microbiota, prokaryotes and picoeukaryotes, appear to be structured by different ecological mechanisms. Picoeukaryotic communities were predominantly structured by dispersal-limitation, while prokaryotic counterparts appeared to be shaped by the combined action of dispersal-limitation, selection and drift. Temperature-driven selection appeared as a major factor, out of a few selected factors, influencing species co-occurrence networks in prokaryotes but not in picoeukaryotes, indicating that association patterns may contribute to understand ocean microbiota structure and response to selection. Other measured abiotic variables seemed to have limited selective effects on community structure in the tropical and subtropical ocean. Picoeukaryotes displayed a higher spatial differentiation between communities and a higher distance decay when compared to prokaryotes, consistent with a scenario of higher dispersal limitation in the former after considering environmental heterogeneity. Lastly, random dynamics or drift seemed to have a more important role in structuring prokaryotic communities than picoeukaryotic counterparts.

          Conclusions

          The differential action of ecological mechanisms seems to cause contrasting biogeography, in the tropical and subtropical ocean, among the smallest surface plankton, prokaryotes and picoeukaryotes. This suggests that the idiosyncrasy of the main constituents of the ocean microbiota should be considered in order to understand its current and future configuration, which is especially relevant in a context of global change, where the reaction of surface ocean plankton to temperature increase is still unclear.

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          Most cited references110

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                Author and article information

                Contributors
                ramiro.logares@icm.csic.es
                ina@icm.csic.es
                pedro.junger@gmail.com
                c.giner@oceans.ubc.ca
                a.k.krabberod@ibv.uio.no
                sebastian.schmidt@embl.de
                laura.rubinat@sb-roscoff.fr
                mireia.mestre.martin@gmail.com
                guillems@ethz.ch
                clararg@icm.csic.es
                msebastian@icm.csic.es
                vargas@sb-roscoff.fr
                sacinas@icm.csic.es
                carlos.duarte@kaust.edu.sa
                pepgasol@icm.csic.es
                ramonm@icm.csic.es
                Journal
                Microbiome
                Microbiome
                Microbiome
                BioMed Central (London )
                2049-2618
                20 April 2020
                20 April 2020
                2020
                : 8
                : 55
                Affiliations
                [1 ]GRID grid.428945.6, Institute of Marine Sciences (ICM), CSIC, ; 08003 Barcelona, Catalonia Spain
                [2 ]GRID grid.5510.1, ISNI 0000 0004 1936 8921, Department of Biosciences, Section for Genetics and Evolutionary Biology, , University of Oslo, ; 0316 Oslo, Norway
                [3 ]GRID grid.411247.5, ISNI 0000 0001 2163 588X, Laboratory of Microbial Processes & Biodiversity (LMPB), Department of Hydrobiology (DHB), , Universidade Federal de São Carlos (UFSCar), ; São Carlos, 13565-905 SP Brazil
                [4 ]GRID grid.17091.3e, ISNI 0000 0001 2288 9830, Institute for the Oceans and Fisheries, University of British Columbia, ; 2202 Main Mall, Vancouver, BC V6T 1Z4 Canada
                [5 ]GRID grid.4709.a, ISNI 0000 0004 0495 846X, European Molecular Biology Laboratory, ; Meyerhofstr. 1, 69117 Heidelberg, Germany
                [6 ]Sorbonne Universités, UPMC Univ Paris 06, CNRS UMR 7144, Adaptation et Diversité en Milieu Marin, Equipe EPEP, Station Biologique de Roscoff, 29680 Roscoff, France
                [7 ]GRID grid.5380.e, ISNI 0000 0001 2298 9663, Centro de Investigación Oceanográfica COPAS Sur-Austral, Departamento de Oceanografía, , Universidad de Concepción, ; Concepción, Chile
                [8 ]GRID grid.7119.e, ISNI 0000 0004 0487 459X, Centro FONDAP de Investigación Dinámica de Ecosistemas Marinos de Altas Latitudes (IDEAL), , Universidad Austral de Chile, ; Valdivia, Chile
                [9 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, , ETH Zürich, ; 8093 Zürich, Switzerland
                [10 ]GRID grid.4521.2, ISNI 0000 0004 1769 9380, Oceanography and Global Change Institute, IOCAG, University of Las Palmas de Gran Canaria, ULPGC, ; 35214 Gran Canaria, Spain
                [11 ]GRID grid.45672.32, ISNI 0000 0001 1926 5090, King Abdullah University of Science and Technology (KAUST), Red Sea Research Center (RSRC), ; Thuwal, Saudi Arabia
                [12 ]GRID grid.1038.a, ISNI 0000 0004 0389 4302, Centre for Marine Ecosystems Research, School of Science, , Edith Cowan University, ; Joondalup, WA Australia
                Article
                827
                10.1186/s40168-020-00827-8
                7171866
                32312331
                a6432fa3-8f85-46c7-adb2-0e1f7d88960d
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 10 November 2019
                : 13 March 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003329, Ministerio de Economía y Competitividad;
                Award ID: RYC-2013-12554
                Award ID: IJCI-2015-23505
                Award ID: CSD2008-00077
                Award ID: CTM2015-69936-P
                Award ID: CTM2015-70340-P
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010665, H2020 Marie Skłodowska-Curie Actions;
                Award ID: ESR2-675752
                Award Recipient :
                Funded by: Fundação de Amparo à Pesquisa do Estado de São Paulo (BR)
                Award ID: 2017/26786-1
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100002848, Comisión Nacional de Investigación Científica y Tecnológica;
                Award ID: FONDAP-IDEAL 15150003
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100005416, Norges Forskningsråd;
                Award ID: 240904
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                ocean,plankton,microbiota,picoeukaryotes,prokaryotes,community structure,ecological processes,selection,dispersal,drift

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