Analysis of Population Structure and Differentially Selected Regions in Guangxi Native Breeds by Restriction Site Associated with DNA Sequencing.
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2020
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Abstract
Guangxi indigenous chicken breeds play a very important role in promoting the high-quality development of the broiler industry in China. However, studies on genomic information of Guangxi indigenous chicken to date remain poorly explored. To decipher the population genetic structure and differentially selected regions (DSRs) in Guangxi indigenous chickens, we dug into numerous SNPs from seven Guangxi native chickens (GX) by employing the restriction site associated with DNA sequencing (RAD-seq) technology. Another three breeds, Cobb, White Leghorn, and Chahua (CH) chicken, were used as a control. After quality control, a total of 185,117 autosomal SNPs were kept for further analysis. The results showed a significant difference in population structure, and the control breeds were distinctly separate from the Guangxi native breeds, which was also strongly supported by the phylogenetic tree. Distribution of F indicated that there were three SNPs with big genetic differentiation (F value all reach to 0. 9427) in GX CH group, which were located on chr1-96,859,720,chr4-86,139,601, and chr12-8,128,322, respectively. Besides, we identified 717 DSRs associated with 882 genes in GX Cobb group, 769 DSRs with 476 genes in GX Leghorn group, and 556 DSRs with 779 genes in GX CH group. GO enrichment showed that there were two significant terms, namely GPI-linked ephrin receptor activity and BMP receptor binding, which were enriched in GX Leghorn group. In conclusion, this study suggests that Guangxi native chickens have a great differentiation with Cobb and Leghorn. Our findings would be beneficial to fully evaluate the genomic information on Guangxi native chicken and facilitate the application of these resources in chicken breeding.
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yang2020analysisg3
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| Authors | Yang, Zhuliang;Deng, Jixian;Li, Dongfeng;Sun, Tiantian;Xia, Li;Xu, Wenwen;Zeng, Linghu;Jiang, Hesheng;Yang, Xiurong; |
| Journal | g3 (bethesda, md) |
| Year | 2020 |
| DOI |
10.1534/g3.119.400827
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