Genome-Wide Association Study on Body Conformation Traits in Xinjiang Brown Cattle

全基因组关联研究 遗传力 生物 单核苷酸多态性 遗传学 遗传关联 数量性状位点 候选基因 遗传建筑学 遗传相关 选择(遗传算法) SNP公司 肉牛 基因 遗传变异 基因型 人工智能 计算机科学
作者
Menghua Zhang,Yachun Wang,Qiuming Chen,Dan Wang,Xiaoxue Zhang,Huang Xi-xia,Lei Xu
出处
期刊:International Journal of Molecular Sciences [Multidisciplinary Digital Publishing Institute]
卷期号:25 (19): 10557-10557
标识
DOI:10.3390/ijms251910557
摘要

Body conformation traits are linked to the health, longevity, reproductivity, and production performance of cattle. These traits are also crucial for herd selection and developing new breeds. This study utilized pedigree information and phenotypic (1185 records) and genomic (The resequencing of 496 Xinjiang Brown cattle generated approximately 74.9 billion reads.) data of Xinjiang Brown cattle to estimate the genetic parameters, perform factor analysis, and conduct a genome-wide association study (GWAS) for these traits. Our results indicated that most traits exhibit moderate to high heritability. The principal factors, which explained 59.12% of the total variance, effectively represented body frame, muscularity, rump, feet and legs, and mammary system traits. Their heritability estimates range from 0.17 to 0.73, with genetic correlations ranging from −0.53 to 0.33. The GWAS identified 102 significant SNPs associated with 12 body conformation traits. A few of the SNPs were located near previously reported genes and quantitative trait loci (QTLs), while others were novel. The key candidate genes such as LCORL, NCAPG, and FAM184B were annotated within 500 Kb upstream and downstream of the significant SNPs. Therefore, factor analysis can be used to simplify multidimensional conformation traits into new variables, thus reducing the computational burden. The identified candidate genes from GWAS can be incorporated into the genomic selection of Xinjiang Brown cattle, enhancing the reliability of breeding programs.
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