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Genome-wide association analysis reveals genetic loci and candidate genes for meat quality traits in Chinese Laiwu pigs

Overview of attention for article published in Mammalian Genome, February 2015
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Title
Genome-wide association analysis reveals genetic loci and candidate genes for meat quality traits in Chinese Laiwu pigs
Published in
Mammalian Genome, February 2015
DOI 10.1007/s00335-015-9558-y
Pubmed ID
Authors

Xinwei Xiong, Xianxian Liu, Lisheng Zhou, Jie Yang, Bin Yang, Huanban Ma, Xianhua Xie, Yixuan Huang, Shaoming Fang, Shijun Xiao, Jun Ren, Congying Chen, Junwu Ma, Lusheng Huang

Abstract

Meat quality traits have economically significant impacts on the pig industry, and can be improved using molecular approaches in pig breeding. Since 1994 when the first genome-wide scan for quantitative trait loci (QTLs) in pig was reported, over the past two decades, numerous QTLs have been identified for meat quality traits by family based linkage analyses. However, little is known about the genetic variants for meat quality traits in Chinese purebred or outbred populations. To unveil it, we performed a genome-wide association study for 10 meat quality traits in Chinese purebred Laiwu pigs. In total, 75 significant SNPs (P < 1.01 × 10(-6)) and 33 suggestive SNPs (P < 2.03 × 10(-5)) were identified. On SSC12, a region between 56.22 and 61.49 Mb harbored a cluster of SNPs that were associated with meat color parameters (L*, lightness; a*, redness; b*, yellowness) and moisture content of longissimus muscle (LM) and semimembranosus muscle at the genome-wide significance level. A region on SSC4 also has pleiotropic effects on moisture content and drip loss of LM. In addition, this study revealed at least five novel QTLs and several candidate genes including 4-linked MYH genes (MYH1, MYH2, MYH3, and MYH13), MAL2, LPAR1, and PRKAG3 at four significant loci. Except for the SSC12 QTL, other QTLs are likely tissue-specific. These results provide new insights into the genetic basis of meat quality traits in Chinese Laiwu pigs and some significant SNPs reported here could be incorporated into the selection programs involving this breed.

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The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 16%
Researcher 4 16%
Student > Ph. D. Student 2 8%
Professor > Associate Professor 2 8%
Student > Master 2 8%
Other 3 12%
Unknown 8 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 48%
Veterinary Science and Veterinary Medicine 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Unspecified 1 4%
Computer Science 1 4%
Other 1 4%
Unknown 8 32%