Assessing Genomic Diversity and Signatures of Selection in Chinese Red Steppe Cattle Using High-Density SNP Array.

Assessing Genomic Diversity and Signatures of Selection in Chinese Red Steppe Cattle Using High-Density SNP Array.
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DOI:
10.3390/ani13101717
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发表时间:
2023-05-22
期刊:
Animals : an open access journal from MDPI
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中国草原红牛是我国著名的肉奶兼用牛品种。本文利用100 K SNP基因分型数据对CRS的遗传变异和群体结构进行了研究。结果表明,中国白鲑群体的遗传结构与其它群体不同,遗传多样性水平较高,近交水平较低。本研究为长角羚的显著性状提供了遗传基础,可用于今后长角羚育种方案的改进。中国草原红牛是一个以产奶量高、屠宰率高、胴体性状好、肉质优良而著称的复合型牛种。目前,在吉林省、河北省和内蒙古自治区广泛繁殖。然而,CRS的群体结构和显著特征的遗传基础仍然未知。本研究利用GGP Bovine 100 K基因芯片对61个CRS个体进行基因分型,系统描述了CRS的群体结构、遗传多样性和选择特征。结果表明,CRS牛近交水平低,已形成独特的遗传结构特征。使用两种互补的方法(包括综合单倍型评分和复杂似然比),我们确定了1291和1285个潜在的选择基因,分别。共有141个基因被注释在106个重叠的基因组区域中,覆盖5.62 Mb,包括PLAG1,PRKG 2,DGAT 1,PARP10,TONSL,ADCK 5和BMP 3,其中大多数富集在与肌肉生长和分化,牛奶生产和脂质代谢相关的途径中。本研究将有助于理解人工选择背后的遗传机制,并为后续育种提供广泛的参考。
The Chinese Red Steppe Cattle (CRS) is a well-known dual-purpose (meat and milk) cattle breed. Here, the genetic variation and population structure of CRS were studied using 100 K SNP genotyping data. The results show that the genetic structure of CRS is different from other populations, the level of genetic diversity is high, and the level of inbreeding is low. In conclusion, our research provides the genetic basis for the prominent characteristics of CRS, which can be used to improve the breeding program of CRS in the future. Chinese Red Steppe Cattle (CRS), a composite cattle breed, is well known for its milk production, high slaughter rate, carcass traits, and meat quality. Nowadays, it is widely bred in Jilin and Hebei Province and the Inner Mongolia Autonomous region. However, the population structure and the genetic basis of prominent characteristics of CRS are still unknown. In this study, we systematically describe their population structure, genetic diversity, and selection signature based on genotyping data from 61 CRS individuals with GGP Bovine 100 K chip. The results showed that CRS cattle had low inbreeding levels and had formed a unique genetic structure feature. Using two complementary methods (including comprehensive haplotype score and complex likelihood ratio), we identified 1291 and 1285 potentially selected genes, respectively. There were 141 genes annotated in common 106 overlapping genomic regions covered 5.62 Mb, including PLAG1, PRKG2, DGAT1, PARP10, TONSL, ADCK5, and BMP3, most of which were enriched in pathways related to muscle growth and differentiation, milk production, and lipid metabolism. This study will contribute to understanding the genetic mechanism behind artificial selection and give an extensive reference for subsequent breeding.
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