Genome‐wide detection of structural variation in some sheep breeds using whole‐genome long‐read sequencing data

Author:

Qiao Guoyan12ORCID,Xu Pan3,Guo Tingting1,He Xue1,Yue Yaojing1,Yang Bohui1

Affiliation:

1. Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Sciences Lanzhou China

2. College of Ecological Agriculture and Animal Husbandry Qinghai Communications Technical College Xining China

3. State Key Laboratory of Grassland Agro‐Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology Lanzhou University Lanzhou China

Abstract

AbstractGenomic structural variants (SVs) constitute a significant proportion of genetic variation in the genome. The rapid development of long‐reads sequencing has facilitated the detection of long‐fragment SVs. There is no published study to detect SVs using long‐read data from sheep. We applied a long‐read mapping approach to detect SVs and characterized a total of 30,771 insertions, deletions, inversions and translocations. We identified 716, 916, 842 and 303 specific SVs in Southdown sheep, Alpine merino sheep, Qilian White Tibetan sheep and Oula sheep, respectively. We annotated these SVs and found that these SV‐related genes were primarily enriched in the well‐established pathways involved in the regulation of the immune system, growth and development and environmental adaptability. We detected and annotated SVs based on NGS resequencing data to validate the accuracy based on third‐generation detection. Moreover, five candidate SVs were verified using the PCR method in 50 sheep. Our study is the first to use a long‐reads sequencing approach to construct a novel structural variation map in sheep. We have completed a preliminary exploration of the potential effects of SVs on sheep.

Publisher

Wiley

Subject

Animal Science and Zoology,Food Animals,General Medicine

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