Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2017, Vol. 33 ›› Issue (20): 113-123.doi: 10.11924/j.issn.1000-6850.casb16080102

Special Issue: 生物技术 畜牧兽医

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Genetic Effect and Detection of SNPs in Candidate Genes Related to Milk Production Traits of Xinjiang Brown Cattle

  

  • Received:2016-08-23 Revised:2016-11-27 Accepted:2016-12-21 Online:2017-07-18 Published:2017-07-18

Abstract: This study aimed to explore the association between polymorphisms of candidate genes related to milk production traits and somatic cell score (SCS), and explore the genetic feature of polymorphism from these SNPs in Xinjiang brown cattle. Based on DNA pools with the Re-sequencing technology to gain SNPs data, totally screened 17 SNPs of FASN, FSHR, HAL, GPIHBP1, NIBPL, C9, PDE9A, PTK2, STAT1, ZNF66, ZNF567, ZNF7, ZNF623 and ZNF804A genes, at the same time, combining with Sequenom MassArray Genotype technology to detect the genetic polymorphism. The genetic effect of 17 SNPs on 305 d milk yield, milk fat percentage, milk protein percentage, milk lactin percentage, total solids content and SCS at Xinjiang Urumqi farm, Cattle farm in Tacheng area and Xinjiang Tianshan Animal Husbandry Biological Engineering Co., Ltd. were analyzed by GLM procedure of SAS8.1.Totally 262 Xinjiang Brown cattle. The results showed that the 17 SNPs were in Hardy-Weinberg equilibrium, and 9 SNPs had significant (P<0.005) or extremely significant (P<0.001) association with milk production traits, and these SNPs were located in FASN, FSHR, HAL, ZNF66, ZNF7, ZNF804A, GPIHBP1 and PDE9A genes. Association analysis results of this study provide a theoretical basis and reference for the molecular marker-assisted selection in Xinjiang brown cattle.