Abdalla Ismail Mohamed, Hui Jiang, Nazar Mudasir, Arbab Abdelaziz Adam Idriss, Xu Tianle, Abdu Shaima Mohamed Nasr, Mao Yongjiang, Yang Zhangping, Lu Xubin
College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou 225009, China.
Animals (Basel). 2023 Mar 8;13(6):992. doi: 10.3390/ani13060992.
Body size is one of the most economically important traits of dairy cattle, as it is significantly associated with cow longevity, production, health, fertility, and environmental adaptation. The identification and application of genetic variants using a novel genetic approach, such as genome-wide association studies (GWASs), may give more insights into the genetic architecture of complex traits. The identification of genes, single nucleotide polymorphisms (SNPs), and pathways associated with the body size traits may offer a contribution to genomic selection and long-term planning for selection in dairy cows. In this study, we performed GWAS analysis to identify the genetic markers and genes associated with four body size traits (body height, body depth, chest width, and angularity) in 1000 Chinese Holstein cows. We performed SNPs genotyping in 1000 individuals, based on the GeneSeek Genomic Profiler Bovine 100 K. In total, we identified 11 significant SNPs in association with body size traits at the threshold of Bonferroni correction (5.90 × 10) using the fixed and random model circulating probability unification (FarmCPU) model. Several genes within 200 kb distances (upstream or downstream) of the significant SNPs were identified as candidate genes, including , , , , , and . Moreover, genes within 200 kb of the identified SNPs were significantly enriched ( ≤ 0.05) in 25 Gene Ontology terms and five Kyoto Encyclopedia of Genes and Genomes pathways. We anticipate that these results provide a foundation for understanding the genetic architecture of body size traits. They will also contribute to breeding programs and genomic selection work on Chinese Holstein cattle.
体型是奶牛最重要的经济性状之一,因为它与奶牛的寿命、生产性能、健康状况、繁殖能力和环境适应性显著相关。使用全基因组关联研究(GWAS)等新型遗传方法来鉴定和应用遗传变异,可能会让我们对复杂性状的遗传结构有更深入的了解。鉴定与体型性状相关的基因、单核苷酸多态性(SNP)和通路,可能有助于奶牛的基因组选择和长期选育规划。在本研究中,我们对1000头中国荷斯坦奶牛进行了GWAS分析,以鉴定与四个体型性状(体高、体深、胸宽和棱角度)相关的遗传标记和基因。我们基于GeneSeek基因组分析牛100K对1000个个体进行了SNP基因分型。使用固定和随机模型循环概率统一法(FarmCPU)模型,在Bonferroni校正阈值(5.90×10)下,我们总共鉴定出11个与体型性状相关的显著SNP。在显著SNP上下游200 kb距离内的几个基因被鉴定为候选基因,包括 、 、 、 、 和 。此外,在已鉴定SNP的200 kb范围内的基因在25个基因本体论术语和5条京都基因与基因组百科全书通路中显著富集(P≤0.05)。我们预计这些结果为理解体型性状的遗传结构奠定了基础。它们也将有助于中国荷斯坦牛的育种计划和基因组选择工作。