Putative epigenetic regulation mechanisms related to production, carcass and beef quality traits in Nelore cattle.
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...
| Autores: | , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | Brasil |
| Institución: | Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
| Repositorio: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
| Idioma: | inglés |
| OAI Identifier: | oai:www.alice.cnptia.embrapa.br:doc/1181211 |
| Acceso en línea: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1181211 https://doi.org/10.3389/fgene.2025.1593444 |
| Access Level: | acceso abierto |
| Palabra clave: | Regulação epigenética Qualidade de carne bovina Epigenetic regulation Gado Nelore Carcaça Beef cattle Beef carcasses Beef quality |
| Sumario: | 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 in-silico identified discordantly regulated genes (DRGs) with the TRIAGE method and rank product analysis, using gene expression. We investigated the DRGs for being known bovine transcription factors (TFs) or co-factors (TcoFs) and tested the association of SNPs harbouring the DRGs with the traits. Using public muscle ATAC-Seq and ChIP-Seq data, we found that the associated SNPs were harboured in open chromatin sections of the genome and/or on histone modification regions. 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 LBX1 and HOXC10 genes are candidates with evidence to be regulators of the traits, while also being subjected to epigenetic regulation. |
|---|