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| The genetic diversity analysis in the donkey myostatin gene |
| LIU Dong-hua1, 2*, HAN Hao-yuan1*, ZHANG Xin1, SUN Ting1, LAN Xian-yong1, CHEN Hong1, LEI Chu-zhao1, DANG Rui-hua1 |
1 College of Animal Science and Technology, Northwest A&F University, Yangling 712100, P.R.China
2 Institute of Hexi Ecology and Oasis Agriculture, Hexi University, Zhangye 734000, P.R.China |
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Abstract Myostatin (MSTN) gene negatively controls skeletal muscle development and growth, variations of which play an important role in the regulation of skeletal muscle growth in mammals. However, study on genetic polymorphism of MSTN gene in donkey is limited. In this study, we screened the single nucleotide polymorphsims (SNPs) of MSTN gene in 13 Chinese donkey breeds. Four novel SNPs (g.229T>C, g.872A>G, g.2014G>A, and g.2395C>G) were detected and genotyped by sequencing and polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methods. Six haplotypes (H1–H6) were analyzed, which indicated abundant haplotype diversities in Chinese donkeys. The haplotype H1 was the most dominant and ancient in all breeds. Xinjiang donkey displayed the highest haplotype diversity. The Neighbour-Joining (NJ) tree of MSTN gene among different species was constructed. The clustering result of nine species was consistent with the fact of species differentiation. Our results will provide a reliable theoretical basis for the preservation, exploration and utilization of Chinese donkey genetic resources.
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Received: 18 April 2016
Accepted:
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| Fund: This work was supported by the National Natural Science Foundation of China (31072001, 31272399, 81270439). |
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Corresponding Authors:
LEI Chu-zhao, Tel: +86-29-87092004, Fax: +86-29-87092164, E-mail: leichuzhao1118@126.com; DANG Rui-hua, Mobile: +86-15388627637, E-mail: dangruihua@nwsuaf.edu.cn
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Cite this article:
LIU Dong-hua, HAN Hao-yuan, ZHANG Xin, SUN Ting, LAN Xian-yong, CHEN Hong, LEI Chu-zhao, DANG Rui-hua .
2017.
The genetic diversity analysis in the donkey myostatin gene. Journal of Integrative Agriculture, 16(03): 656-663.
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