Mao Yongjiang, Zhu Xiaorui, Xing Shiyu, Zhang Meirong, Zhang Huimin, Wang Xiaolong, Karrow Niel, Yang Liguo, Yang Zhangping
College of Animal Science and Technology, Yangzhou University, 225009 Yangzhou, PR China; College of Animal Science and Technology, Huazhong Agricultural University, 430070 Wuhan, PR China.
College of Animal Science and Technology, Yangzhou University, 225009 Yangzhou, PR China.
Res Vet Sci. 2015 Dec;103:107-12. doi: 10.1016/j.rvsc.2015.09.021. Epub 2015 Sep 30.
Lactoferrin is an iron-binding protein found in cow's milk that plays an important role in preventing mastitis caused by intramammary infection. In this study, 20 Chinese Holstein cows were selected randomly for PCR amplification and sequencing of the bovine lactoferrin gene promoter region and used for SNP discovery in the region between nucleotide positions -461 to -132. Three SNPs (-270T>C, -190G>A and -156A>G) were identified in bovine lactoferrin, then Chinese Holstein cows (n=866) were genotyped using Sequenom MassARRAY (Sequenom Inc., San Diego, CA) based on the previous SNP information in this study, and the associations between SNPs or haplotype and milk somatic cell score (SCS) and production traits were analyzed by the least squares method in the GLM procedure of SAS. SNPs -270T>C and -156A>G showed close linkage disequilibrium (r(2)=0.76). The SNP -190G>A showed a significant association with SCS, and individuals with genotype GG had higher SCS than genotypes AG and AA. Associations were found between the SNPs -270T>C and -190G>A with SCS and the milk composition. The software MatInspector revealed that these SNPs were located within several potential transcription factor binding sites, including NF-κB p50, KLF7 and SP1, and may alter gene expression, but further investigation will be required to elucidate the biological and practical relevance of these SNPs.
乳铁蛋白是一种存在于牛奶中的铁结合蛋白，在预防由乳腺内感染引起的乳腺炎方面发挥着重要作用。在本研究中，随机选择20头中国荷斯坦奶牛用于牛乳铁蛋白基因启动子区域的PCR扩增和测序，并用于发现核苷酸位置-461至-132之间区域的单核苷酸多态性（SNP）。在牛乳铁蛋白中鉴定出三个SNP（-270T>C、-190G>A和-156A>G），然后根据本研究先前的SNP信息，使用Sequenom MassARRAY（Sequenom公司，加利福尼亚州圣地亚哥）对866头中国荷斯坦奶牛进行基因分型，并通过SAS的GLM过程中的最小二乘法分析SNP或单倍型与牛奶体细胞评分（SCS）和生产性状之间的关联。SNP -270T>C和-156A>G显示出紧密的连锁不平衡（r(2)=0.76）。SNP -190G>A与SCS显著相关，基因型为GG的个体的SCS高于基因型为AG和AA的个体。发现SNP -270T>C和-190G>A与SCS和牛奶成分之间存在关联。MatInspector软件显示，这些SNP位于几个潜在的转录因子结合位点内，包括NF-κB p50、KLF7和SP1，可能会改变基因表达，但需要进一步研究以阐明这些SNP的生物学和实际相关性。
