Significant genetic effects of JAK2 and DGAT1 mutations on milk fat content and mastitis resistance in Holsteins. Issue 4 (29th November 2019)

• Record Type: Journal Article
• Authors: Khan, Muhammad Zahoor; Wang, Di; Liu, Lei; Usman, Tahir; Wen, Hui; Zhang, Ruiqiang; Liu, Shuli; Shi, Liangyu; Mi, Siyuan; Xiao, Wei; Yu, Ying
• Is Part Of: Journal of dairy research. Volume 86:Issue 4(2019)
• Page Start: 388
• Page End: 393
• Publication Date: 2019-11-29
• Subjects: Dairy cattle, -- DGAT1, -- JAK2, -- mastitis resistance traits, -- milk fat, -- SNPs; Dairying -- Periodicals; Dairying -- Research -- Periodicals; 636.214205
• DOI: 10.1017/S0022029919000682
• Languages: English
• ISSNs: 0022-0299

Abstract

Abstract: Improving the production traits and resistance against mastitis in dairy cattle is a challenge for animal scientists across the globe. The present study was designed to investigate the genetic effects of single nucleotide polymorphisms (SNPs) in Janus kinase 2 ( JAK2 ) and diacylglycerol acyltransferase ( DGAT1 ) genes with production and mastitis-related traits. Four SNPs in JAK2 and one in DGAT1 were analyzed through Chinese Cow's SNPs Chip-I (CCSC-I) and genotyped in a population of 312 Chinese Holsteins. Our findings demonstrated that milk fat percentage, somatic cell count (SCC), somatic cell score (SCS), serum cytokines interleukin 6 (IL-6) and interferon gamma (IFN-γ) showed significant associations ( P < 0.05) with at least one or more identified SNPs. Consequently, the analysis based on haplotypes amongst the SNPs in JAK2 revealed noteworthy ( P < 0.05) association with SCC and IL-6. Collectively, our results verified the pleiotropic ability of detected SNPs in bovine JAK2 and DGAT1 for milk fat percentage as well as mastitis-related traits. The significant SNPs in both the genes could serve as powerful genetic markers to minimize mastitis risk. In addition, besides SCC and SCS, the IFN-γ and IL-6 could also be used as indicators of improved genetic resistance against mastitis.