Insights into Adaption and Growth Evolution: Genome–Wide Copy Number Variation Analysis in Chinese Hainan Yellow Cattle Using Whole–Genome Re–Sequencing Data

Copy number variation (CNV) serves as a crucial source of genomic variation and significantly aids in the mining of genomic information in cattle. This study aims to analyze re-sequencing data from Chinese Hainan yellow cattle, to uncover breed CNV information, and to elucidate the resources of population genetic variation. We conducted whole-genome sequencing on 30 Chinese Hainan yellow cattle, thus generating 814.50 Gb of raw data. CNVs were called using CNVnator software, and subsequent filtering with Plink and HandyCNV yielded 197,434 high-quality CNVs and 5852 CNV regions (CNVRs). Notably, the proportion of deleted sequences (81.98%) exceeded that of duplicated sequences (18.02%), with the lengths of CNVs predominantly ranging between 20 and 500 Kb This distribution demonstrated a decrease in CNVR count with increasing fragment length. Furthermore, an analysis of the population genetic structure using CNVR databases from Chinese, Indian, and European commercial cattle breeds revealed differences between Chinese Bos indicus and Indian Bos indicus. Significant differences were also observed between Hainan yellow cattle and European commercial breeds. We conducted gene annotation for both Hainan yellow cattle and European commercial cattle, as well as for Chinese Bos indicus and Indian Bos indicus, identifying 206 genes that are expressed in both Chinese and Indian Bos indicus. These findings may provide valuable references for future research on Bos indicus. Additionally, selection signatures analysis based on Hainan yellow cattle and three European commercial cattle breeds identified putative pathways related to heat tolerance, disease resistance, fat metabolism, environmental adaptation, candidate genes associated with reproduction and the development of sperm and oocytes (<i>CABS1</i>, <i>DLD</i>, <i>FSHR</i>, <i>HSD17B2</i>, <i>KDM2A</i>), environmental adaptation (<i>CNGB3</i>, <i>FAM161A</i>, <i>DIAPH3</i>, <i>EYA4</i>, <i>AAK1</i>, <i>ERBB4</i>, <i>ERC2</i>), oxidative stress anti-inflammatory response (<i>COMMD1</i>, <i>OXR1)</i>, disease resistance (<i>CNTN5</i>, <i>HRH4</i>, <i>NAALADL2</i>), and meat quality (<i>EHHADH</i>, <i>RHOD</i>, <i>GFPT1</i>, <i>SULT1B1</i>). This study provides a comprehensive exploration of CNVs at the molecular level in Chinese Hainan yellow cattle, offering theoretical support for future breeding and selection programs aimed at enhancing qualities of this breed.

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Journal
International Journal of Molecular Sciences
Published
2024-11-06
DOI
https://doi.org/10.3390/ijms252211919
Citations
8
Primary Topic
Genomic variations and chromosomal abnormalities
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article
Field-Weighted Citation Impact
4.40
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article

Insights into Adaption and Growth Evolution: Genome–Wide Copy Number Variation Analysis in Chinese Hainan Yellow Cattle Using Whole–Genome Re–Sequencing Data

Jing Fan, Qian Xiao, Ziyi Wang, Ziqi Zhong et al.
8 citations
International Journal of Molecular Sciences
Genomic variations and chromosomal abnormalities
4.40
article

Insights into Adaption and Growth Evolution: Genome–Wide Copy Number Variation Analysis in Chinese Hainan Yellow Cattle Using Whole–Genome Re–Sequencing Data

Jing Fan, Qian Xiao, Ziyi Wang, Ziqi Zhong, Zhiqing Su, Xinfeng Xie, Deyou Pan, Rui-Ping Sun
article en
8 citations

Abstract

Copy number variation (CNV) serves as a crucial source of genomic variation and significantly aids in the mining of genomic information in cattle. This study aims to analyze re-sequencing data from Chinese Hainan yellow cattle, to uncover breed CNV information, and to elucidate the resources of population genetic variation. We conducted whole-genome sequencing on 30 Chinese Hainan yellow cattle, thus generating 814.50 Gb of raw data. CNVs were called using CNVnator software, and subsequent filtering with Plink and HandyCNV yielded 197,434 high-quality CNVs and 5852 CNV regions (CNVRs). Notably, the proportion of deleted sequences (81.98%) exceeded that of duplicated sequences (18.02%), with the lengths of CNVs predominantly ranging between 20 and 500 Kb This distribution demonstrated a decrease in CNVR count with increasing fragment length. Furthermore, an analysis of the population genetic structure using CNVR databases from Chinese, Indian, and European commercial cattle breeds revealed differences between Chinese Bos indicus and Indian Bos indicus. Significant differences were also observed between Hainan yellow cattle and European commercial breeds. We conducted gene annotation for both Hainan yellow cattle and European commercial cattle, as well as for Chinese Bos indicus and Indian Bos indicus, identifying 206 genes that are expressed in both Chinese and Indian Bos indicus. These findings may provide valuable references for future research on Bos indicus. Additionally, selection signatures analysis based on Hainan yellow cattle and three European commercial cattle breeds identified putative pathways related to heat tolerance, disease resistance, fat metabolism, environmental adaptation, candidate genes associated with reproduction and the development of sperm and oocytes (<i>CABS1</i>, <i>DLD</i>, <i>FSHR</i>, <i>HSD17B2</i>, <i>KDM2A</i>), environmental adaptation (<i>CNGB3</i>, <i>FAM161A</i>, <i>DIAPH3</i>, <i>EYA4</i>, <i>AAK1</i>, <i>ERBB4</i>, <i>ERC2</i>), oxidative stress anti-inflammatory response (<i>COMMD1</i>, <i>OXR1)</i>, disease resistance (<i>CNTN5</i>, <i>HRH4</i>, <i>NAALADL2</i>), and meat quality (<i>EHHADH</i>, <i>RHOD</i>, <i>GFPT1</i>, <i>SULT1B1</i>). This study provides a comprehensive exploration of CNVs at the molecular level in Chinese Hainan yellow cattle, offering theoretical support for future breeding and selection programs aimed at enhancing qualities of this breed.

International Journal of Molecular SciencesVol. 25(22)
Hainan University (CN), Animal Science Research Institute (CN), Hainan Provincial Academy of Agricultural Sciences (CN)
Life in Land
Openalex Percentile: Top 5%
Genomic variations and chromosomal abnormalities
4.40
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