Evidence map›Paper›PMID 38548725›Full record

ArticleNature communications2024

Genome-scale community modelling reveals conserved metabolic cross-feedings in epipelagic bacterioplankton communities.

Nils Giordano, Marinna Gaudin, Camille Trottier, Erwan Delage, Charlotte Nef, Chris Bowler, Samuel Chaffron

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
22.5field-weighted citation impact, top 1% of its field
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

29 citing papers in PubMed, 49 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Nils Giordano *Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000, Nantes, France.ORCID http://orcid.org/0000-0003-2549-6631
Marinna Gaudin *Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000, Nantes, France.ORCID http://orcid.org/0000-0003-0254-4477
Camille TrottierNantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000, Nantes, France.ORCID http://orcid.org/0000-0002-6828-5415
Erwan DelageNantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000, Nantes, France.
Charlotte NefInstitut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Université Paris, F-75016, Paris, France.
Chris BowlerInstitut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Université Paris, F-75016, Paris, France.ORCID http://orcid.org/0000-0003-3835-6187
Samuel ChaffronNantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000, Nantes, France. samuel.chaffron@cnrs.fr.ORCID http://orcid.org/0000-0001-5903-617X
École Centrale de Nantes · FRCentre National de la Recherche Scientifique · FR

Funding

European Commission (EC) 862923
6 · The paper itself

Abstract

Marine microorganisms form complex communities of interacting organisms that influence central ecosystem functions in the ocean such as primary production and nutrient cycling. Identifying the mechanisms controlling their assembly and activities is a major challenge in microbial ecology. Here, we integrated Tara Oceans meta-omics data to predict genome-scale community interactions within prokaryotic assemblages in the euphotic ocean. A global genome-resolved co-activity network revealed a significant number of inter-lineage associations across diverse phylogenetic distances. Identified co-active communities include species displaying smaller genomes but encoding a higher potential for quorum sensing, biofilm formation, and secondary metabolism. Community metabolic modelling reveals a higher potential for interaction within co-active communities and points towards conserved metabolic cross-feedings, in particular of specific amino acids and group B vitamins. Our integrated ecological and metabolic modelling approach suggests that genome streamlining and metabolic auxotrophies may act as joint mechanisms shaping bacterioplankton community assembly in the global ocean surface.

Indexed as

BacteriaEcosystemAquatic OrganismsOceans and SeasPhylogeny

Identifiers

PMID38548725
PMCPMC10978986
OpenAlexW4393258679

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.