Weight Gain and Tenderness in Nelore Cattle: Genetic Association and a Potential Pleiotropic Role of Transcription Factors and Genes

The inclusion of meat quality traits in breeding programs is a promising strategy to improve beef by selecting animals based on both growth and meat quality. This study aimed to estimate genetic parameters for average daily gain (ADG) and Warner-Bratzler shear force (WBSF), as well as to perform genome-wide association studies (GWAS) to identify genomic regions and transcription factor (TF) binding sites associated with both traits in Nelore cattle. Genetic parameters were estimated using a bi-trait Bayesian model, and GWAS identified key SNPs explaining over 1% of variance in genomic estimated breeding values. Candidate genes near these SNPs were annotated, TF binding sites predicted, and gene-TF networks constructed. Genetic estimates indicated moderate heritability for ADG, low heritability for WBSF, and a small negative genetic correlation between traits. Genomic regions contained 116 and 151 candidate genes for ADG and WBSF, respectively, with 35 shared between traits. Functional analyses highlighted <i>MYBPC1</i> and <i>PENK</i> for WBSF, and <i>GHRS</i> and <i>NPY</i> for ADG. TF analysis identified 25 TFs, with 3 key ones highlighted. Gene-TF networks revealed candidates including <i>CAPN1</i> and <i>LTBP3</i> for WBSF, and <i>CARM1</i> and <i>GH1</i> for ADG. Shared candidate genes identified in the combined network provide valuable insights into the genetic architecture of growth and tenderness in Nelore cattle.

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Publication Details

Journal
Animals
Published
2025-09-30
DOI
https://doi.org/10.3390/ani15192874
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00

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article

Weight Gain and Tenderness in Nelore Cattle: Genetic Association and a Potential Pleiotropic Role of Transcription Factors and Genes

Lúcio Flávio Macêdo Mota, Lúcia Galvão de Albuquerque, Geovana Cristina Santos, Ana Fabrícia Braga Magalhães et al.
Animals
Genetic and phenotypic traits in livestock
article

Weight Gain and Tenderness in Nelore Cattle: Genetic Association and a Potential Pleiotropic Role of Transcription Factors and Genes

Lúcio Flávio Macêdo Mota, Lúcia Galvão de Albuquerque, Geovana Cristina Santos, Ana Fabrícia Braga Magalhães, Marcela Ramos Duarte, Lucas Lima Verardo, Luciani Carvalho, A. S. C. Pereira, Eliana Lourenço Borges, E A Almeida, Lilia S. Carvalho
article en

Abstract

The inclusion of meat quality traits in breeding programs is a promising strategy to improve beef by selecting animals based on both growth and meat quality. This study aimed to estimate genetic parameters for average daily gain (ADG) and Warner-Bratzler shear force (WBSF), as well as to perform genome-wide association studies (GWAS) to identify genomic regions and transcription factor (TF) binding sites associated with both traits in Nelore cattle. Genetic parameters were estimated using a bi-trait Bayesian model, and GWAS identified key SNPs explaining over 1% of variance in genomic estimated breeding values. Candidate genes near these SNPs were annotated, TF binding sites predicted, and gene-TF networks constructed. Genetic estimates indicated moderate heritability for ADG, low heritability for WBSF, and a small negative genetic correlation between traits. Genomic regions contained 116 and 151 candidate genes for ADG and WBSF, respectively, with 35 shared between traits. Functional analyses highlighted <i>MYBPC1</i> and <i>PENK</i> for WBSF, and <i>GHRS</i> and <i>NPY</i> for ADG. TF analysis identified 25 TFs, with 3 key ones highlighted. Gene-TF networks revealed candidates including <i>CAPN1</i> and <i>LTBP3</i> for WBSF, and <i>CARM1</i> and <i>GH1</i> for ADG. Shared candidate genes identified in the combined network provide valuable insights into the genetic architecture of growth and tenderness in Nelore cattle.

AnimalsVol. 15(19)
Universidade Federal dos Vales do Jequitinhonha e Mucuri (BR), Universidade Estadual Paulista (Unesp) (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Universidade Estadual Paulista
Openalex Percentile: Top 71%
Genetic and phenotypic traits in livestock
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