Evidence map›Paper›PMID 39984283›Full record

ArticleFEMS microbiology ecology2025

Multi-omics analysis of the correlation between surface microbiome and metabolome in Saccharina latissima (Laminariales, Phaeophyceae).

Emilie Adouane, Cédric Hubas, Catherine Leblanc, Raphaël Lami, Soizic Prado

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

5 authors.

Emilie AdouaneMuséum National d'Histoire Naturelle, Unité Molécules de Communication et Adaptation des Micro-Organismes, UMR 7245, CNRS, Sorbonne Université, 75005 Paris, France.
Cédric HubasMuséum National d'Histoire Naturelle, Laboratoire Biologie des Organismes et Écosystème Aquatiques (UMR 8067 BOREA), Sorbonne Université, CNRS, IRD, Université de Caen Normandie, Université des Antilles, Station Marine de Concarneau, Quai de la croix, 29900 Concarneau, France.
Catherine LeblancBiologie Intégrative des Modèles Marins, LBI2M (Sorbonne Université/CNRS), Station Biologique de Roscoff (SBR), 29680 Roscoff, France.
Raphaël LamiLaboratoire de Biodiversité et Biotechnologie Microbienne (LBBM), Sorbonne Université, CNRS, UAR 3579, Observatoire Océanologique, 66650 Banyuls-sur-Mer, France.
Soizic PradoMuséum National d'Histoire Naturelle, Unité Molécules de Communication et Adaptation des Micro-Organismes, UMR 7245, CNRS, Sorbonne Université, 75005 Paris, France.ORCID 0000-0002-8071-9642

Funding

National Museum of Natural History
6 · The paper itself

Abstract

The microbiome of Saccharina latissima, an important brown macroalgal species in Europe, significantly influences its health, fitness, and pathogen resistance. Yet, comprehensive studies on the diversity and function of microbial communities (bacteria, eukaryotes, and fungi) associated with this species are lacking. Using metabarcoding, we investigated the epimicrobiota of S. latissima and correlated microbial diversity with metabolomic patterns (liquid chromatography coupled to tandem mass spectrometry). Specific epibacterial and eukaryotic communities inhabit the S. latissima surface, alongside a core microbiota, while fungal communities show lower and more heterogeneous diversity. Metabolomic analysis revealed a large diversity of mass features, including putatively annotated fatty acids, amino derivatives, amino acids, and naphthofurans. Multiple-factor analysis linked microbial diversity with surface metabolome variations, driven mainly by fungi and bacteria. Two taxa groups were identified: one associated with bacterial consortia and the other with fungal consortia, each correlated with specific metabolites. This study demonstrated a core bacterial and eukaryotic microbiota associated with a core metabolome and highlighted interindividual variations. Annotating the surface metabolome using Natural Products databases suggested numerous metabolites potentially involved in interspecies chemical interactions. Our findings establish a link between microbial community structure and function, identifying two microbial consortia potentially involved in the chemical defense of S. latissima.

Indexed as

BacteriaFungiMetabolomeMicrobiotaPhaeophyceaeEdible SeaweedsLaminariaMetabolomicsMultiomicsbrown macroalgaeepiphytic communityholobiontmetabarcodingmetabolomics

Identifiers

PMID39984283
PMCPMC11879540

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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.