Evidence map›Paper›PMID 40454874›Full record

ArticlemSphere2025

Evolutionary history and association with seaweeds shape the genomes and metabolisms of marine bacteria.

Catherine A Pfister, Johanna Berlinghof, Maximiliana Bogan, Ulisse Cardini, Angélique Gobet, Pauline Hamon-Giraud, Jessica Hart, Natalia Jimenez, Anne Siegel, Emma Stanfield and 6 more

Abstract read
In one paragraph

Article in mSphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Catherine A PfisterDepartment of Ecology & Evolution, The University of Chicago, Chicago, Illinois, USA.ORCID 0000-0003-0892-637X
Johanna BerlinghofGenoa Marine Center, Stazione Zoologica Anton Dohrn, Genoa, Italy.ORCID 0000-0002-1622-1938
Maximiliana BoganDepartment of Ecology & Evolution, The University of Chicago, Chicago, Illinois, USA.ORCID 0000-0003-0270-8590
Ulisse CardiniGenoa Marine Center, Stazione Zoologica Anton Dohrn, Genoa, Italy.ORCID 0000-0002-0816-6158
Angélique GobetMARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Sète, France.ORCID 0000-0003-4204-8451
Pauline Hamon-GiraudCNRS, Inria, IRISA (UMR 6074), University of Rennes, Rennes, Brittany, France.ORCID 0009-0009-5091-4891
Jessica HartDepartment of Ecology & Evolution, The University of Chicago, Chicago, Illinois, USA.ORCID 0000-0001-5542-0860
Natalia JimenezInstitute for Biological and Medical Engineering, Schools of Engineering, Medicine and Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile.ORCID 0000-0003-2084-1256
Anne SiegelCNRS, Inria, IRISA (UMR 6074), University of Rennes, Rennes, Brittany, France.ORCID 0000-0001-6542-1568
Emma StanfieldDepartment of Ecology & Evolution, The University of Chicago, Chicago, Illinois, USA.ORCID 0000-0002-4856-8880
Marine ValletInstitute for Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Jena, Thuringia, Germany.ORCID 0000-0002-6878-0459
Catherine Leblanc *Integrative Biology of Marine Models (LBI2M, UMR 8227), CNRS, Station Biologique de Roscoff (SBR), Sorbonne University, Roscoff, Brittany, France.ORCID 0000-0001-7149-0332
Coralie Rousseau *Integrative Biology of Marine Models (LBI2M, UMR 8227), CNRS, Station Biologique de Roscoff (SBR), Sorbonne University, Roscoff, Brittany, France.ORCID 0009-0005-8568-3449
François Thomas *Integrative Biology of Marine Models (LBI2M, UMR 8227), CNRS, Station Biologique de Roscoff (SBR), Sorbonne University, Roscoff, Brittany, France.ORCID 0000-0003-1896-0774
Willem Stock *Phycology Research Group, Department of Biology, Ghent University, Ghent, Flanders, Belgium.ORCID 0000-0001-7648-6404
Simon M Dittami *Integrative Biology of Marine Models (LBI2M, UMR 8227), CNRS, Station Biologique de Roscoff (SBR), Sorbonne University, Roscoff, Brittany, France.ORCID 0000-0001-7987-7523

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seaweeds harbor a rich diversity of bacteria, providing them with metabolic resources and a surface for attachment and biofilm development. The host's unique environment potentially shapes the bacterial genomes and promotes adaptations for a symbiotic lifestyle. To investigate whether the genomes of seaweed-associated bacteria are genetically and metabolically distinct from their close free-living relatives in seawater, we compared both the seaweed-associated and free-living counterparts of 72 bacterial genera across 16 seaweed hosts using whole-genome sequences or high-quality metagenome-assembled genomes. While taxonomic affiliation strongly influenced genome characteristics such as GC content, gene number, and size, host association had a lower effect overall. A reduced genome size was suggested only in IMPORTANCE: We hypothesized that the unique environment of seaweeds in coastal oceans shapes bacterial genomes and promotes a symbiotic lifestyle. We compared the genomes of bacteria isolated from seaweed with bacteria from the same genus found free-living in seawater. For genome features that included the number of genes, the size of the genome, and the GC content, taxonomy was of greater importance than bacterial lifestyle. When we compared metabolic abilities, we again found a strong effect of taxonomy in determining metabolism. Although several metabolic pathways differed between free-living and host-associated bacteria, this was especially prominent for

Indexed as

BacteriaEvolution, MolecularGenome, BacterialSeawaterSeaweedBase CompositionMetagenomePhylogenySymbiosisbacterial genomeshost-microbemarine bacteriamicrobial metabolismnonhuman microbiome

Identifiers

PMID40454874
PMCPMC12188728

What OpenQuestion holds

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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.