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Open AccessArticle

Four Novel SNPs of MYO1A Gene Associated with Heat-Tolerance in Chinese Cattle

1
Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
2
Yunnan Academy of Grassland and Animal Science, Kunming 650212, China
3
Institute of Animal Science and Veterinary Medicine, Anhui Academy of Agriculture Science, Hefei 230001, China
4
National Institute for Biotechnology and Genetic Engineering, Pakistan Institute of Engineering and Applied Sciences, Faisalabad 577, Pakistan
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Animals 2019, 9(11), 964; https://doi.org/10.3390/ani9110964
Received: 14 October 2019 / Revised: 3 November 2019 / Accepted: 6 November 2019 / Published: 13 November 2019
(This article belongs to the Collection Applications of Quantitative Genetics in Livestock Production)
Chinese indigenous cattle were clustered into two groups of southern and northern breeds. The populations distributed in the hot south are mainly dominated by Bos indicus, and the populations distributed in the cold north are mainly dominated by Bos taurus. Myosin-1a (MYO1A) gene is a candidate gene related to pigmentation, which may be closely related to the heat tolerance traits of cattle. Therefore, our study aimed to explore the relationship between MYO1A gene and heat tolerance in Chinese indigenous cattle.
Based on the previous GWAS research related to bovine heat tolerance trait, this study aimed to explore the effect of myosin-1a (MYO1A) gene on bovine heat tolerance trait, and find the molecular markers related to the heat tolerance of Chinese cattle. In our study, four novel candidate SNPs highly conserved in B. indicus breeds but barely existed in B. taurus were identified in MYO1A gene according to Bovine Genome Variation Database and Selective Signatures (BGVD). PCR and DNA sequencing were used to genotype 1072 individuals including 34 Chinese indigenous cattle breeds as well as Angus and Indian zebu. Two synonymous mutations (rs208210464 and rs110123931), one missense mutation (rs209999142; Phe172Ser), and one intron mutation (rs135771836) were detected. The frequencies of mutant alleles of the four SNPs gradually increased from northern groups to southern groups of Chinese cattle, which was consistent with the distribution of various climatic conditions of China. Additionally, four SNPs were significantly associated with four climatic conditions including annual mean temperature (T), relative humidity (H), temperature-humidity index (THI), and average annual sunshine hours (100-cloudiness) (SR). Among these, rs209999142 and Hap 1/1 had better performance than others. Our results suggested that rs209999142 was associated with heat-tolerance trait and rs208210464, rs110123931, and rs135771836 showed high phenotypic effect on heat-tolerance trait because of the strong linkage with rs209999142. These SNPs could be used as candidates for marker-assisted selection (MAS) in cattle breeding. View Full-Text
Keywords: Chinese cattle; MYO1A gene; SNP; heat-tolerance trait; association Chinese cattle; MYO1A gene; SNP; heat-tolerance trait; association
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MDPI and ACS Style

Jia, P.; Cai, C.; Qu, K.; Chen, N.; Jia, Y.; Hanif, Q.; Liu, J.; Zhang, J.; Chen, H.; Huang, B.; Lei, C. Four Novel SNPs of MYO1A Gene Associated with Heat-Tolerance in Chinese Cattle. Animals 2019, 9, 964. https://doi.org/10.3390/ani9110964

AMA Style

Jia P, Cai C, Qu K, Chen N, Jia Y, Hanif Q, Liu J, Zhang J, Chen H, Huang B, Lei C. Four Novel SNPs of MYO1A Gene Associated with Heat-Tolerance in Chinese Cattle. Animals. 2019; 9(11):964. https://doi.org/10.3390/ani9110964

Chicago/Turabian Style

Jia, Peng; Cai, Cuicui; Qu, Kaixing; Chen, Ningbo; Jia, Yutang; Hanif, Quratulain; Liu, Jianyong; Zhang, Jicai; Chen, Hong; Huang, Bizhi; Lei, Chuzhao. 2019. "Four Novel SNPs of MYO1A Gene Associated with Heat-Tolerance in Chinese Cattle" Animals 9, no. 11: 964. https://doi.org/10.3390/ani9110964

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