Authors: Tahir Usman Ying Yu Chao Liu Xiao Wang Qin Zhang Yachun Wang
Publish Date: 2014/09/10
Volume: 41, Issue: 12, Pages: 8293-8301
Abstract
The JAK–STAT pathway plays a key role in host immunity The present study was designed to evaluate the effects of single nucleotide polymorphisms SNPs in STAT5A and JAK2 genes on some serum cytokines mastitis and milk production traits Two SNPs SNP1 43046497A/C and SNP2 43047829G/A in STAT5A and four SNPs in JAK2 SNP3 39652267A/G SNP4 39630048C/T SNP5 39631044G/A and SNP6 39631175T/C were revealed and genotyped in 268 Chinese Holstein cattle Fixed model was used to analyze the association of SNPs with phenotypes by general linear model procedure of SAS 91 SNP1 and SNP4 were significantly associated with IL6 and IL17 P 005 respectively In JAK2 gene SNP3 was highly significant P 001 and SNP5 was significant P 005 in association with SCC whereas the association of SNP6 was found significant P 005 with both SCC and SCS Combination genotype analysis revealed that SNPs in JAK2 gene significantly associated with SCC and SCS were associated significantly with the corresponding phenotypes in combinations as well The GG genotype of SNP3 individually and in any combination genotypes showed lowest SCC The dominant effect of SNP1 SNP5 and SNP6 was found highly significant P 001 on the corresponding phenotypes IL6 SCC and SCS As for haplotype analysis two haplotypes were revealed between the two SNPs of STAT5A gene and four haplotypes amongst four SNPs in JAK2 gene strong linkage disequilibrium D′ 09 was observed between all these haplotypes The results imply that the identified SNPs could be powerful markers to select dairy cattle with improved genetic resistance against mastitisAuthors are thankful to the Earmarked Fund for Modern Agroindustry Technology Research System CARS37 the National Natural Science Foundation of China 31272420 the Fund for Basic Research from the Ministry of Education of the People’s Republic of China 2011JS006 Changjiang Scholar and Innovation Research Team in University IRT1191 and the National Key Technologies R D Program 2011BAD28B02 for financial support and to the manager and staff of the dairy farms for providing the milk and blood samples We are thankful to Miranda Miskowiec from USA an English instructor in our college for proof reading our manuscript
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