Evidence map›Paper›PMID 40656592›Full record

ArticleFrontiers in genetics2025

Putative epigenetic regulation mechanisms related to production, carcass and beef quality traits in Nelore cattle.

Juliana Afonso, Woo Jun Shim, Tainã Figueiredo Cardoso, Jennifer Jéssica Bruscadin, Andressa Oliveira de Lima, Wellison Jarles da Silva Diniz, Bárbara Silva-Vignato, Ingrid Soares Garcia, Wei Liang Andre Tan, Priscila Silva Neubern de Oliveira and 6 more

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Article in Frontiers in genetics, 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. Article
  2. Review
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.

Juliana AfonsoAnimal Biotechnology Group, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Woo Jun ShimSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia.
Tainã Figueiredo CardosoAnimal Biotechnology Group, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Jennifer Jéssica BruscadinPost-graduation Program of Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, São Paulo, Brazil.
Andressa Oliveira de LimaDivision of Medical Genetics, Department of Genome Sciences, Department of Medicine, University of Washington, Seatle, WA, United States.
Wellison Jarles da Silva DinizDepartment of Animal Sciences, Auburn University, Auburn, AL, United States.
Bárbara Silva-VignatoDepartment of Food Science and Technology (ESALQ), University of São Paulo, Piracicaba, Brazil.
Ingrid Soares GarciaDepartment of Animal Science (ESALQ), University of São Paulo, Piracicaba, Brazil.
Wei Liang Andre TanSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia.
Priscila Silva Neubern de OliveiraPost-graduation Program of Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, São Paulo, Brazil.
Aline Silva Mello CesarDepartment of Food Science and Technology (ESALQ), University of São Paulo, Piracicaba, Brazil.
Gerson Barreto MourãoDepartment of Animal Science (ESALQ), University of São Paulo, Piracicaba, Brazil.
Adhemar ZerlotiniBioinformatic Multi-User Laboratory, Embrapa Informática Agropecuária, Campinas, São Paulo, Brazil.
Luiz Lehmann CoutinhoDepartment of Animal Science (ESALQ), University of São Paulo, Piracicaba, Brazil.
Marina Rufino Salinas FortesSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia.
Luciana Correia de Almeida RegitanoAnimal Biotechnology Group, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Understanding regulatory mechanisms like epigenetics can help improve beef production, carcass, and meat quality. Epigenetic states are dynamic and shaped by the environment, but due to limited studies and costly detection methods, alternative approaches are needed. Objective: Our aim was to identify candidate regulators linked to production, carcass and beef quality traits by describing genes putatively regulated by epigenetic mechanisms in the muscle of Nelore cattle. Methods: We Results: We identified 51 DRGs across the traits and provided evidence of their regulatory status. 26 DRGs are known bovine TFs. A SNP upstream of the PITX2 DRG was associated with conjugated linoleic acid (CLA), 35 SNPs within or around the BTNL9 DRG were associated with backfat thickness (BFT) and 13 of the DRGs showed a regulatory impact over at least one trait. Discussion: The correlations identified among DRGs, differentially expressed genes and traits showed intricate relationships with various TFs and TcoFs, revealing the putative relationships of these elements with the traits. The

Indexed as

Bos indicusepigeneticH3K27me3histone modificationmuscle

Identifiers

PMID40656592
PMCPMC12245772

What Socratic holds

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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 Socratic graph.