Evidence map›Paper›PMID 41096480›Full record

ArticleAnimals : an open access journal from MDPI2025

One Function, Many Faces: Functional Convergence in the Gut Microbiomes of European Marine and Freshwater Fish Unveiled by Bayesian Network Meta-Analysis.

Federico Moroni, Fernando Naya-Català, Genciana Terova, Ricardo Domingo-Bretón, Josep Àlvar Calduch-Giner, Jaume Pérez-Sánchez

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  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

6 authors.

Federico MoroniFish Nutrigenomics and Integrative Biology Group, Institute of Aquaculture Torre de la Sal (IATS, CSIC), 12595 Castellón, Spain.ORCID 0000-0003-1566-5956
Fernando Naya-CatalàFish Nutrigenomics and Integrative Biology Group, Institute of Aquaculture Torre de la Sal (IATS, CSIC), 12595 Castellón, Spain.ORCID 0000-0003-0553-109X
Genciana TerovaDepartment of Biotechnology and Life Sciences, University of Insubria, 21100 Varese, Italy.ORCID 0000-0002-7532-7951
Ricardo Domingo-BretónFish Nutrigenomics and Integrative Biology Group, Institute of Aquaculture Torre de la Sal (IATS, CSIC), 12595 Castellón, Spain.ORCID 0000-0003-2933-236X
Josep Àlvar Calduch-GinerFish Nutrigenomics and Integrative Biology Group, Institute of Aquaculture Torre de la Sal (IATS, CSIC), 12595 Castellón, Spain.ORCID 0000-0003-3124-5986
Jaume Pérez-SánchezFish Nutrigenomics and Integrative Biology Group, Institute of Aquaculture Torre de la Sal (IATS, CSIC), 12595 Castellón, Spain.ORCID 0000-0003-2506-1523

Funding

Spanish MCIU project BreamHOLOBIONT (PID2023-146990OB-I00) PID2023-146990OB-I00TNA program (PID24876) within H2020 AQUAEXCEL3.0 project (871108) 871108
6 · The paper itself

Abstract

Intestinal microbiota populations are constantly shaped by both intrinsic and extrinsic factors, including diet, environment, and host genetics. As a result, understanding how to assess, monitor, and exploit microbiome-host interplay remains an active area of investigation, especially in aquaculture. In this study, we analyzed the taxonomic structure and functional potential of the intestinal microbiota of European sea bass and rainbow trout, incorporating gilthead sea bream as a final reference. The results showed that the identified core microbiota (40 taxa for sea bass and 20 for trout) held a central role in community organization, despite taxonomic variability, and exhibited a predominant number of positive connections (>60% for both species) with the rest of the microbial community in a Bayesian network. From a functional perspective, core-associated bacterial clusters (75% for sea bass and 81% for sea bream) accounted for the majority of predicted metabolic pathways (core contribution: >75% in sea bass and >87% in trout), particularly those involved in carbohydrate, amino acid, and vitamin metabolism. Comparative analysis across ecological phenotypes highlighted distinct microbial biomarkers, with genera such as

Indexed as

bacterial functionsBayesian networkcore microbiotadietary interventionEuropean sea bassfish gut microbiomehost geneticsmicrobiota biomarkersRainbow trouttaxonomical variability

Identifiers

PMID41096480
PMCPMC12524309

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.