A global analysis of CNVs in Chinese indigenous fine-wool sheep populations using whole-genome resequencing [post]

Chao Yuan, Zengkui Lu, Tingting Guo, Yaojing Yue, Xijun Wang, Tianxiang Wang, Yajun Zhang, Fujun Hou, Chune Niu, Xiaopin Sun, Hongchang Zhao, Shaohua Zhu (+2 others)
2020 unpublished
BackgroundCopy number variation (CNV) is an important source of genetic variation that has a significant influence on phenotypic diversity, important economic traits and the evolution of livestock species. In this study, the genome-wide CNV distribution characteristics of 32 fine-wool sheep from three breeds were analyzed using resequencing.ResultsA total of 1,747,604 CNVs were detected in this study, and 7,228 CNV regions (CNVR) were obtained after merging overlapping CNVs; these regions
more » ... ted for 2.17% of the sheep reference genome. The average length of the CNVRs was 4,307.17 bp. "Deletion" events took place more frequently than "duplication" or "both" events. The CNVRs obtained overlapped with previously reported sheep CNVRs to variable extents (4.39%–55.46%). Functional enrichment analysis showed that the CNVR-harboring genes were mainly involved in sensory perception systems, nutrient metabolism processes, and growth and development processes. Furthermore, 1,855 of the CNVRs were associated with 166 quantitative trait loci (QTL), including milk QTLs, carcass QTLs, and health-related QTLs, among others. In addition, the 32 fine-wool sheep were divided into horned and polled groups to analyze for the selective sweep of CNVRs, and it was found that the relaxin family peptide receptor 2 (RXFP2) gene was strongly influenced by selection.ConclusionsIn summary, we constructed a genomic CNV map for Chinese indigenous fine-wool sheep using resequencing, thereby providing a valuable genetic variation resource for sheep genome research, which will contribute to the study of complex traits in sheep.
doi:10.21203/rs.2.16764/v3 fatcat:ylxuuwnrpfhlra2jo3fuvphu3m