Evidence map›Paper›PMID 41120502›Full record

ArticleScientific reports2025

miRNA‒microbiome correlations in Bos indicus feed efficiency.

Priscila S N de Oliveira, Bruno G N Andrade, Tainã F Cardoso, Liliane C Conteville, Gabriel A C Pena, Wilson Malago-Jr, Jennifer J Bruscadin, Juliana J Pascoal, Lauro F Almeida, Luiz A Josahkian and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Priscila S N de OliveiraDepartment of Genetics and Evolution, Federal University of São Carlos, São Carlos, SP, Brazil.
Bruno G N AndradeMunster Technological University, Cork, Ireland.
Tainã F CardosoEmbrapa Southeast-Cattle Research Center, São Carlos, SP, Brazil.
Liliane C ContevilleEmbrapa Southeast-Cattle Research Center, São Carlos, SP, Brazil.
Gabriel A C PenaEmbrapa Southeast-Cattle Research Center, São Carlos, SP, Brazil.
Wilson Malago-JrEmbrapa Southeast-Cattle Research Center, São Carlos, SP, Brazil.
Jennifer J BruscadinEmbrapa Southeast-Cattle Research Center, São Carlos, SP, Brazil.
Juliana J PascoalAssociated Colleges of Uberaba (FAZU), Uberaba, MG, Brazil.
Lauro F AlmeidaBrazilian Association of Zebu Breeders (ABCZ), Uberaba, MG, Brazil.
Luiz A JosahkianBrazilian Association of Zebu Breeders (ABCZ), Uberaba, MG, Brazil.
Henrique T VenturaBrazilian Association of Zebu Breeders (ABCZ), Uberaba, MG, Brazil.
Giovana A MacielEmbrapa Cerrados, Brasília, DF, Brazil.
Gerson B MourãoDepartment of Animal Science, University of São Paulo, Piracicaba, SP, Brazil.
Luiz L CoutinhoDepartment of Animal Science, University of São Paulo, Piracicaba, SP, Brazil.
James ReecyDepartment of Animal Science, Iowa State University College of Agricultural and Life Sciences, Ames, IA, USA.
Luciana C A RegitanoEmbrapa Southeast-Cattle Research Center, São Carlos, SP, Brazil. luciana.regitano@embrapa.br.

Funding

CAPES (Coordination of Superior Level Staff Improvement) 88887.473152/2020-00CNPq (National Council for Scientific and Technological Development) 428153/2018Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/04089-2
6 · The paper itself

Abstract

The fecal microbiome is emerging as an essential component of the gut microbiota and host metabolism, whereas in cattle, fecal microbiome characterization is still needed. Recent evidence indicates that small RNAs, such as miRNAs, may be isolated from feces and involved in host-microbe interactions. In this study, fecal samples were collected from the rectal ampulla of Nelore bulls that were phenotypically divergent in terms of residual feed intake (RFI). miRNA sequencing and 16S rRNA gene (V3-V4 region) sequencing were performed to reveal the associations between host miRNAs and microbiome composition and their relationships with the feed efficiency phenotype. Among the 162 identified fecal miRNAs, seven were more expressed in the inefficient group: bta-miR-27b, bta-miR-30a, bta-miR-126, bta-miR-143, bta-miR-155, bta-miR-205 and bta-miR-196a. Using metabarcoding sequencing, we identified 5,005 bacterial ASVs, and after filtering, we used 357 ASVs in subsequent analyses. Weighted gene coexpression network analysis (WGCNA) was used to identify miRNA and microbiome interactions. We observed significant correlations between fecal miRNA expression and microbiota composition. The differentially expressed fecal miRNAs were correlated with some taxa, such as Prevotella, Anaerorhabdus furcosa, Bifidobacterium, Bacillales, Succinispira mobilis, Peptostreptococcaceae and Coriobacteriaceae, suggesting that the host is mediating its effect on the microbiome through miRNA expression. Fecal miRNAs and the identified taxa play roles in biological processes, e.g. muscle development, metabolic homeostasis and inflammatory processes related to feed efficiency, serving as potential candidates for exploring host-microbe interactions. Although limited by the sample size, our findings may serve as a basis for future studies on developing strategies to manipulate the microbiome and improve feed efficiency traits in cattle.

Indexed as

Animal FeedGastrointestinal MicrobiomeMicroRNAsAnimalsBacteriaCattleFecesMaleRNA, Ribosomal, 16SMicroRNAsRNA, Ribosomal, 16SBovineInteractionMicrobiomeResidual feed intake

Identifiers

PMID41120502
PMCPMC12540843

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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.