Dang Dong, Zhang Lilian, Gao Lutao, Peng Lin, Chen Jian, Yang Linnan
College of Big Data, Yunnan Agricultural University, Kunming, China.
Yunnan Engineering Technology Research Center of Agricultural Big Data, Kunming, China.
Front Vet Sci. 2024 Jul 22;11:1413504. doi: 10.3389/fvets.2024.1413504. eCollection 2024.
Yunling cattle is a new breed of beef cattle bred in Yunnan Province, China, which has the advantages of fast growth, excellent meat quality, improved tolerance ability, and important landscape value. Copy number variation (CNV) is a significant source of gene structural variation and plays a crucial role in evolution and phenotypic diversity. Based on the latest reference genome ARS-UCD2.0, this study analyzed the genome-wide distribution of CNVs in Yunling cattle using short-read whole-genome sequencing data ( = 129) and single-molecule long-read sequencing data ( = 1), and a total of 16,507 CNVs were detected. After merging CNVs with overlapping genomic positions, 3,728 CNV regions (CNVRs) were obtained, accounting for 0.61% of the reference genome. The functional analysis indicated significant enrichment of CNVRs in 96 GO terms and 57 KEGG pathways, primarily related to cell adhesion, signal transduction, neuromodulation, and nutritional metabolism. Additionally, 111 CNVRs overlapped with 76 quantitative trait loci (QTLs), including Subcutaneous fat thickness QTL, Longissimus muscle area QTL, and Marbling score QTL. Several CNVR-overlapping genes, including , and , overlap with regions associated with meat color and quality QTLs. Furthermore, Vst analysis showed that , and were highly divergent between Yunling and Brahman cattle. In summary, we have constructed the genomic CNV map of Yunling cattle for the first time using whole-genome resequencing. This provides valuable genetic variation resources for the study of the Yunling cattle genome and contributes to the study of economic traits in Yunling cattle.
云岭牛是在中国云南省培育的一种新型肉牛品种,具有生长速度快、肉质优良、耐受能力强和重要的景观价值等优点。拷贝数变异(CNV)是基因结构变异的一个重要来源,在进化和表型多样性中起着关键作用。基于最新的参考基因组ARS-UCD2.0,本研究利用短读长全基因组测序数据(n = 129)和单分子长读长测序数据(n = 1)分析了云岭牛基因组中CNV的全基因组分布,共检测到16,507个CNV。在合并基因组位置重叠的CNV后,获得了3,728个CNV区域(CNVR),占参考基因组的0.61%。功能分析表明,CNVR在96个基因本体(GO)术语和57条京都基因与基因组百科全书(KEGG)通路中显著富集,主要与细胞粘附、信号转导、神经调节和营养代谢有关。此外,111个CNVR与76个数量性状位点(QTL)重叠,包括皮下脂肪厚度QTL、背最长肌面积QTL和大理石花纹评分QTL。几个与CNVR重叠的基因,包括[具体基因1]、[具体基因2]和[具体基因3],与肉色和肉质QTL相关的区域重叠。此外,Vst分析表明,[具体基因4]、[具体基因5]和[具体基因6]在云岭牛和婆罗门牛之间高度分化。总之,我们首次利用全基因组重测序构建了云岭牛的基因组CNV图谱。这为云岭牛基因组的研究提供了有价值的遗传变异资源,并有助于云岭牛经济性状的研究。