Evidence map›Paper›PMID 41654531›Full record

ArticleScientific reports2026

Microbiome by transcriptome interactions triggered by a switch to an alternative diet in Nellore cattle.

Anna Carolina Fernandes, Antonio Reverter, Liliane Costa Conteville, Juliana Afonso, Tainã Figueiredo Cardoso, Julio Cesar Pascale Palhares, Gerson Barreto Mourão, Luciana Correia de Almeida Regitano, Luiz Lehmann Coutinho

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

9 authors.

Anna Carolina FernandesDepartment of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ-USP), Piracicaba, São Paulo, Brazil.
Antonio ReverterCSIRO Agriculture & Food, Queensland Bioscience Precinct, 306 Carmody Rd, St. Lucia, Brisbane, QLD, 4067, Australia.
Liliane Costa ContevilleBrazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Juliana AfonsoBrazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Tainã Figueiredo CardosoBrazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Julio Cesar Pascale PalharesBrazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Gerson Barreto MourãoDepartment of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ-USP), Piracicaba, São Paulo, Brazil.
Luciana Correia de Almeida RegitanoBrazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Luiz Lehmann CoutinhoDepartment of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ-USP), Piracicaba, São Paulo, Brazil. llcoutinho@usp.br.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.620015/2021-00Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/11953-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/04089-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2021/14321-0
6 · The paper itself

Abstract

The interplay between diet and the microbiome in ruminants significantly influences livestock productivity and environmental sustainability. Among these effects, methane emissions—a potent greenhouse gas produced by rumen microbes—remain a major challenge, reinforcing the need for effective mitigation strategies. However, how dietary modifications reprogram microbial communities and their subsequent influence on host metabolism and methane production remains insufficiently understood. Here, we investigated the effects of diet on the ruminal and fecal microbiomes of young Nellore bulls, alongside host transcriptomic responses in key metabolic tissues, using a multi-tissue, diet-specific systems biology approach. Our gene co-expression and microbial co-abundance network analyses identified distinct microbial and transcriptomic signatures shaped by diet. Notably, Megasphaera and Butyrivibrio exhibited marked adaptations to dietary changes. Furthermore, methane emissions were associated with distinct sets of genes and microbial taxa depending on diet, with 42 genes and Eubacterium linked to methane in the traditional diet, whereas 18 distinct genes and Ruthenibacterium were associated with methane in the alternative diet. Our findings reveal an intricate, multifaceted, and diet-dependent interplay between microbiome composition, host gene expression, and metabolic processes, offering insights into microbial and molecular targets for optimizing livestock efficiency and sustainability.

Indexed as

DietGastrointestinal MicrobiomeMicrobiotaTranscriptomeAnimal FeedAnimalsCattleFecesGene Expression ProfilingMaleMethaneRumenMethane

Identifiers

PMID41654531
PMCPMC12886895

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.