Department of Animal Sciences, Purdue University, West Lafayette, IN 47907; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1.
Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G 2W1.
J Dairy Sci. 2024 Sep;107(9):7052-7063. doi: 10.3168/jds.2023-24295. Epub 2024 May 23.
This study aimed to evaluate the impact of copy number variants (CNV) on 13 reproduction and 12 disease traits in Holstein cattle. Intensity signal files containing log R ratio and B allele frequency information from 13,730 Holstein animals genotyped with a 95K SNP panel, and 8,467 Holstein animals genotyped with a 50K SNP panel were used to identify the CNVs. Subsequently, the identified CNVs were validated using whole-genome sequence data from 126 animals, resulting in 870 high-confidence copy number variant regions (CNVR) on 12,131 animals. Out of these, 54 CNVR had frequencies higher than or equal to 1% in the population and were used in the genome-wide association analysis (one CNVR at a time, including the G matrix). Results revealed that 4 CNVR were significantly associated with at least one of the traits analyzed in this study. Specifically, 2 CNVR were associated with 3 reproduction traits (i.e., calf survival, first service to conception, and nonreturn rate), and 2 CNVR were associated with 2 disease traits (i.e., metritis and retained placenta). These CNVR harbored genes implicated in immune response, cellular signaling, and neuronal development, supporting their potential involvement in these traits. Further investigations to unravel the mechanistic and functional implications of these CNVR on the mentioned traits are warranted.
本研究旨在评估拷贝数变异(CNV)对荷斯坦奶牛 13 个繁殖和 12 个疾病性状的影响。使用来自 13730 头荷斯坦牛的强度信号文件,这些牛使用 95K SNP 面板进行了基因型分析,包含对数比和 B 等位基因频率信息,以及来自 8467 头荷斯坦牛的强度信号文件,这些牛使用 50K SNP 面板进行了基因型分析,用于识别 CNV。随后,使用来自 126 头动物的全基因组序列数据验证了所识别的 CNV,导致在 12131 头动物上确定了 870 个高可信度的拷贝数变异区域(CNVR)。其中,54 个 CNVR 在群体中的频率高于或等于 1%,并用于全基因组关联分析(一次一个 CNVR,包括 G 矩阵)。结果表明,有 4 个 CNVR 与本研究分析的至少一个性状显著相关。具体来说,有 2 个 CNVR 与 3 个繁殖性状(即犊牛存活率、首次配种受胎率和返情率)相关,有 2 个 CNVR 与 2 个疾病性状(即子宫内膜炎和胎衣不下)相关。这些 CNVR 含有与免疫反应、细胞信号转导和神经元发育相关的基因,支持它们可能参与这些性状。进一步的研究揭示这些 CNVR 对上述性状的机制和功能影响是必要的。