Evidence map›Paper›PMID 32312331›Full record

ArticleMicrobiome2020

Disentangling the mechanisms shaping the surface ocean microbiota.

Ramiro Logares, Ina M Deutschmann, Pedro C Junger, Caterina R Giner, Anders K Krabberød, Thomas S B Schmidt, Laura Rubinat-Ripoll, Mireia Mestre, Guillem Salazar, Clara Ruiz-González and 6 more

Abstract read
In one paragraph

Article in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

101 citing papers in PubMed.

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41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Ramiro LogaresInstitute of Marine Sciences (ICM), CSIC, 08003, Barcelona, Catalonia, Spain. ramiro.logares@icm.csic.es.
Ina M DeutschmannInstitute of Marine Sciences (ICM), CSIC, 08003, Barcelona, Catalonia, Spain.
Pedro C JungerLaboratory of Microbial Processes & Biodiversity (LMPB), Department of Hydrobiology (DHB), Universidade Federal de São Carlos (UFSCar), São Carlos, 13565-905, SP, Brazil.
Caterina R GinerInstitute of Marine Sciences (ICM), CSIC, 08003, Barcelona, Catalonia, Spain.
Anders K KrabberødDepartment of Biosciences, Section for Genetics and Evolutionary Biology, University of Oslo, 0316, Oslo, Norway.
Thomas S B SchmidtEuropean Molecular Biology Laboratory, Meyerhofstr. 1, 69117, Heidelberg, Germany.
Laura Rubinat-RipollSorbonne Universités, UPMC Univ Paris 06, CNRS UMR 7144, Adaptation et Diversité en Milieu Marin, Equipe EPEP, Station Biologique de Roscoff, 29680, Roscoff, France.
Mireia MestreInstitute of Marine Sciences (ICM), CSIC, 08003, Barcelona, Catalonia, Spain.
Guillem SalazarInstitute of Marine Sciences (ICM), CSIC, 08003, Barcelona, Catalonia, Spain.
Clara Ruiz-GonzálezInstitute of Marine Sciences (ICM), CSIC, 08003, Barcelona, Catalonia, Spain.
Marta SebastiánInstitute of Marine Sciences (ICM), CSIC, 08003, Barcelona, Catalonia, Spain.
Colomban de VargasSorbonne Universités, UPMC Univ Paris 06, CNRS UMR 7144, Adaptation et Diversité en Milieu Marin, Equipe EPEP, Station Biologique de Roscoff, 29680, Roscoff, France.
Silvia G AcinasInstitute of Marine Sciences (ICM), CSIC, 08003, Barcelona, Catalonia, Spain.
Carlos M DuarteKing Abdullah University of Science and Technology (KAUST), Red Sea Research Center (RSRC), Thuwal, Saudi Arabia.
Josep M GasolInstitute of Marine Sciences (ICM), CSIC, 08003, Barcelona, Catalonia, Spain.
Ramon MassanaInstitute of Marine Sciences (ICM), CSIC, 08003, Barcelona, Catalonia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

resultsWe 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.

conclusionsThe 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. Video Abstract.

Indexed as

MicrobiotaOceans and SeasWater MicrobiologyArchaeaBacteriaEukaryotaPhylogeographyPlanktonRNA, Ribosomal, 16SRNA, Ribosomal, 18SSpatial AnalysisTemperatureRNA, Ribosomal, 16SRNA, Ribosomal, 18SCommunity structureDispersalDriftEcological processesMicrobiotaOceanPicoeukaryotesPlanktonProkaryotesSelection

Identifiers

PMID32312331
PMCPMC7171866

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.