Lin Shan, Wan Zihui, Zhang Junnan, Xu Lingna, Han Bo, Sun Dongxiao
Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Stae Key Laboratory of Agriobiotechnology, College of Biological Sciences, China Agricultural University, Beijing 100193, China.
Animals (Basel). 2020 Nov 26;10(12):2211. doi: 10.3390/ani10122211.
Albumin can be of particular benefit in fighting infections for newborn calves due to its anti-inflammatory and anti-oxidative stress properties. To identify the candidate genes related to the concentration of albumin in colostrum and serum, we collected the colostrum and blood samples from 572 Chinese Holstein cows within 24 h after calving and measured the concentration of albumin in the colostrum and serum using the ELISA methods. The cows were genotyped with GeneSeek 150 K chips (containing 140,668 single nucleotide polymorphisms; SNPs). After quality control, we performed GWASs via GCTA software with 91,620 SNPs and 563 cows. Consequently, 9 and 7 genome-wide significant SNPs (false discovery rate (FDR) at 1%) were identified. Correspondingly, 42 and 206 functional genes that contained or were approximate to (±1 Mbp) the significant SNPs were acquired. Integrating the biological process of these genes and the reported QTLs for immune and inflammation traits in cattle, 3 and 12 genes were identified as candidates for the concentration of colostrum and serum albumin, respectively; these are , , , , , , , , , , , , and . Our findings provide important information for revealing the genetic mechanism behind albumin concentration and for molecular breeding of disease-resistance traits in dairy cattle.
由于具有抗炎和抗氧化应激特性,白蛋白对新生犊牛抵抗感染可能特别有益。为了鉴定与初乳和血清中白蛋白浓度相关的候选基因,我们在产犊后24小时内从572头中国荷斯坦奶牛采集了初乳和血液样本,并使用酶联免疫吸附测定(ELISA)方法测量了初乳和血清中白蛋白的浓度。使用GeneSeek 150 K芯片(包含140,668个单核苷酸多态性;SNP)对奶牛进行基因分型。经过质量控制后,我们使用GCTA软件对91,620个SNP和563头奶牛进行了全基因组关联研究(GWAS)。结果,鉴定出9个和7个全基因组显著SNP(错误发现率(FDR)为1%)。相应地,获得了42个和206个包含或接近(±1 Mbp)显著SNP的功能基因。综合这些基因的生物学过程以及已报道的牛免疫和炎症性状的数量性状基因座(QTL),分别鉴定出3个和12个作为初乳和血清白蛋白浓度候选基因;它们是 , , , , , , , , , , , , 以及 。我们的研究结果为揭示白蛋白浓度背后的遗传机制以及奶牛抗病性状的分子育种提供了重要信息。