Multi-omics integration analysis reveals the regulatory impact of CNVs for slaughter traits in cattle
文献类型: 外文期刊
作者: Jiayuan Wu;Qunhao Niu;Tianyi Wu;Yingxiao Su;Feng Liu;Zhida Zhao;Huijiang Gao;Junya Li;Lingyang Xu
作者机构:
关键词: alternative splicing;beef cattle;Copy number variation;eQTL;slaughter traits
期刊名称: International Journal of Biological Macromolecules
ISSN: 0141-8130
年卷期: 2025 年 321 卷
页码:
收录情况: SCIE(2025版) ; ; EI(2025版)
摘要: Copy number variations (CNVs) represent a crucial class of genomic variations that modulate gene expression and contribute to phenotypic diversity. In this study, we systematically identified 124,790 CNVs across genome using Bovine HD SNP array. A CNV-based genome-wide association study (GWAS) identified 17 and 3 significant CNV segments associated with lean meat percentage (LMP) and dressing percentage (DP), respectively. The expression quantitative trait locus (eQTL) analysis revealed 621, 399 and 20 expression CNV regions (eCNVRs) significantly associated with gene expression in muscle, liver, and fat tissues. Further investigation through differentially expressed alternative splicing (DEAS) analysis detected 15,450 and 12,356 alternative splicing events (ASE) related to LMP in muscle and liver tissues. Notably, integration analysis of CNV-GWAS, eQTL and splicing quantitative trait locus (sQTL) uncovered a significant 14-kb deletion encompassing two candidate genes (ILVBL and SYDE1). Moreover, we identified a 12-kb duplication for LMP with enhancer signals of the GC gene, suggesting its potential regulatory impact on gene expression. Our study identified several associated CNVs for slaughter traits and elucidated their regulation of gene expression, providing novel insights into the genetic architecture of complex traits and advancing precision breeding strategies in cattle.
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