Analysis of nonsynonymous SNPs in candidate genes that influence bovine temperament and evaluation of their effect in Brahman cattle

作者：Gilberto Ruiz-De-La-Cruz, Ana María Sifuentes‐Rincón, Francisco Alejandro Paredes‐Sánchez, Gaspar Manuel Parra‐Bracamonte, Eduardo Casas, David G. Riley, George A. Perry, Thomas H. Welsh, R.D. Randel · 发表于：Molecular Biology Reports · 年份：2024 · DOI：10.1007/s11033-024-09264-4 · 被引用次数：3 · 研究领域：Genetic and phenotypic traits in livestock、Genetic Mapping and Diversity in Plants and Animals、Genetic Syndromes and Imprinting

BACKGROUND: Temperament is an important production trait in cattle and multiple strategies had been developed to generate molecular markers to assist animal selection. As nonsynonymous single nucleotide polymorphisms are markers with the potential to affect gene functions, they could be useful to predict phenotypic effects. Genetic selection of less stress-responsive, temperamental animals is desirable from an economic and welfare point of view. METHODS AND RESULTS: Two nonsynonymous single nucleotide polymorphisms identified in HTR1B and SLC18A2 candidate genes for temperament were analyzed in silico to determine their effects on protein structure. Those nsSNPs allowing changes in proteins were selected for a temperament association analysis in a Brahman population. Transversion effects on protein structure were evaluated in silico for each amino acid change model, revealing structural changes in the proteins of the HTR1B and SLC18A2 genes. The selected nsSNPs were genotyped in a Brahman population (n = 138), and their genotypic effects on three temperament traits were analyzed: exit velocity, pen score, and temperament score. Only the SNP rs209984404-HTR1B (C/A) showed a significant association (P = 0.0144) with pen score. The heterozygous genotype showed a pen score value 1.17 points lower than that of the homozygous CC genotype. CONCLUSION: The results showed that in silico analysis could direct the selection of nsSNPs with the potential to change the protein. Non-synonym...