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Genome-wide detection of selection signatures in Chinese indigenous Laiwu pigs revealed candidate genes regulating fat deposition in muscle

文献类型： 外文期刊

作者： Chen, Minhui 1 ; Wang, Jiying 2 ; Wang, Yanping 2 ; Wu, Ying 2 ; Fu, Jinluan 1 ; Liu, Jian-feng 1 ;

作者机构： 1.China Agr Univ, Coll Anim Sci & Technol, Key Lab Anim Genet Breeding & Reprod, Minist Agr, Beijing 100193, Peoples R China

2.Shandong Acad Agr Sci, Inst Anim Sci & Vet Med, Shandong Prov Key Lab Anim Dis Control & Breeding, Jinan 250100, Shandong, Peoples R China

关键词： Selection signatures; Chinese indigenous breed; Fat deposition; Laiwu pigs

期刊名称：BMC GENETICS （ 影响因子：2.797； 五年影响因子：3.263 ）

ISSN： 1471-2156

年卷期： 2018 年 19 卷

页码：

收录情况： SCI

摘要： Background: Currently, genome-wide scans for positive selection signatures in commercial breed have been investigated. However, few studies have focused on selection footprints of indigenous breeds. Laiwu pig is an invaluable Chinese indigenous pig breed with extremely high proportion of intramuscular fat (IMF), and an excellent model to detect footprint as the result of natural and artificial selection for fat deposition in muscle. Result: In this study, based on GeneSeek Genomic profiler Porcine HD data, three complementary methods, F-ST, iHS (integrated haplotype homozygosity score) and CLR (composite likelihood ratio), were implemented to detect selection signatures in the whole genome of Laiwu pigs. Totally, 175 candidate selected regions were obtained by at least two of the three methods, which covered 43.75 Mb genomic regions and corresponded to 1.79% of the genome sequence. Gene annotation of the selected regions revealed a list of functionally important genes for feed intake and fat deposition, reproduction, and immune response. Especially, in accordance to the phenotypic features of Laiwu pigs, among the candidate genes, we identified several genes, NPY1R, NPY5R, PIK3R1 and JAKMIP1, involved in the actions of two sets of neurons, which are central regulators in maintaining the balance between food intake and energy expenditure. Conclusions: Our results identified a number of regions showing signatures of selection, as well as a list of functionally candidate genes with potential effect on phenotypic traits, especially fat deposition in muscle. Our findings provide insights into the mechanisms of artificial selection of fat deposition and further facilitate follow-up functional studies.

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