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Genomic sequencing analysis reveals copy number variations and their associations with economically important traits in beef cattle.

Authors :
Yang, Liu
Niu, Qunhao
Zhang, Tianliu
Zhao, Guoyao
Zhu, Bo
Chen, Yan
Zhang, Lupei
Gao, Xue
Gao, Huijiang
Liu, George E.
Li, Junya
Xu, Lingyang
Source :
Genomics. Jan2021:Part 2, Vol. 113 Issue 1, p812-820. 9p.
Publication Year :
2021

Abstract

Copy number variation (CNV) represents a major source of genetic variation, which may have potentially large effects, including alternating gene regulation and dosage, as well as contributing to gene expression and risk for normal phenotypic variability. We carried out a comprehensive analysis of CNV based on whole genome sequencing in Chinese Simmental beef cattle. Totally, we found 9313 deletion and 234 duplication events, covering 147.5 Mb autosomal regions. Within them, 257 deletion events of high frequency overlapped with 193 known RefGenes. Among these genes, we observed several genes were related to economically important traits, like residual feed intake, immune responding, pregnancy rate and muscle differentiation. Using a locus-based analysis, we identified 11 deletions and 1 duplication, which were significantly associated with three traits including carcass weight, tenderloin and longissimus muscle area. Our sequencing-based study provided important insights into investigating the association of CNVs with important traits in beef cattle. • We carried out a comprehensive analysis of CNV based on whole genome sequencing in Chinese Simmental beef cattle. • We discovered 11 and 1 significant loci within deletion and duplication regions associated with three production traits. • Our sequencing-based study provided valuable insights into the association of CNVs with important traits in beef cattle. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08887543
Volume :
113
Issue :
1
Database :
Academic Search Index
Journal :
Genomics
Publication Type :
Academic Journal
Accession number :
148316231
Full Text :
https://doi.org/10.1016/j.ygeno.2020.10.012