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基因组分析以鉴定杜洛克猪的人工选择特征及与重要经济性状相关的基因座

Genomic Analysis To Identify Signatures of Artificial Selection and Loci Associated with Important Economic Traits in Duroc Pigs.

作者信息

Ma Yunlong, Zhang Saixian, Zhang Kaili, Fang Chengchi, Xie Shengsong, Du Xiaoyong, Li Xinyun, Ni Debin, Zhao Shuhong

机构信息

Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, P. R. China.

Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, P. R. China

出版信息

G3 (Bethesda). 2018 Nov 6;8(11):3617-3625. doi: 10.1534/g3.118.200665.

Abstract

Identifying genetic basis of domestication and improvement in livestock contributes to our understanding of the role of artificial selection in shaping the genome. Here we used whole-genome sequencing and the genotyping by sequencing approach to detect artificial selection signatures and identify the associated SNPs of two economic traits in Duroc pigs. A total of 38 candidate selection regions were detected by combining the fixation index and the Composite Likelihood Ratio methods. Further genome-wide association study revealed seven associated SNPs that were related with intramuscular fat content and feed conversion ratio traits, respectively. Enrichment analysis suggested that the artificial selection regions harbored genes, such as , , and , which are responsible for economic traits including lean muscle mass, fertility and immunization. Overall, this study found a series of candidate genes putatively associated with the breeding improvement of Duroc pigs and the polygenic basis of adaptive evolution, which can provide important references and fundamental information for future breeding programs.

摘要

确定家畜驯化和改良的遗传基础有助于我们理解人工选择在塑造基因组中的作用。在此,我们使用全基因组测序和简化基因组测序方法来检测人工选择信号,并鉴定杜洛克猪两个经济性状的相关单核苷酸多态性(SNP)。通过结合固定指数和复合似然比方法,共检测到38个候选选择区域。进一步的全基因组关联研究揭示了7个分别与肌内脂肪含量和饲料转化率性状相关的SNP。富集分析表明,人工选择区域含有如 、 、 和 等基因,这些基因负责包括瘦肉量、繁殖力和免疫在内的经济性状。总体而言,本研究发现了一系列可能与杜洛克猪育种改良及适应性进化的多基因基础相关的候选基因,可为未来的育种计划提供重要参考和基础信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1557/6222590/c9c8d67f464b/3617f1.jpg

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