Zhang Tao, Xu Qi, Zhou Bohan, Xiao Junjie, Zheng Shudan, Li Jinquan, Lv Qi, Zhang Yanjun, Wang Ruijun, Su Rui, Wang Zhiying
College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Grassland Research Institute, Chinese Academy of Agricultural Sciences, Hohhot 010018, China.
Animals (Basel). 2024 Dec 12;14(24):3589. doi: 10.3390/ani14243589.
(1) Background: Cashmere goats, as one of the characteristic species, are rich in genetic resources. Protecting and rationally utilizing these genetic resources is of great significance for the genetic improvement of cashmere goats. (2) Methods: In this study, tissue samples were collected from , which included the Arbas type (); Erlangshan type (); Alashan type (), (), and (). Genomic DNA was extracted and subjected to high-depth genome resequencing. GenoBait technology was used for probe design and site optimization, followed by the synthesis of a low-density liquid phase chip. Finally, a total of 281 individuals from five cashmere goat populations in the Inner Mongolia Autonomous Region were randomly selected to verify the chip. (3) Results: The results showed that a total of 5002 SNP sites were finally screened and retained for the synthesis of the low-density liquid chip for identifying cashmere goats in Inner Mongolia Autonomous Region. Principal component analysis and phylogenetic tree construction indicated that the , , and populations were clustered into one category. (4) Conclusions: This chip can accurately identify the three breeds: , , and .
(1) 背景：绒山羊作为特色品种之一，拥有丰富的遗传资源。保护和合理利用这些遗传资源对于绒山羊的遗传改良具有重要意义。(2) 方法：在本研究中，从[具体来源未给出]采集了组织样本，其中包括阿尔巴斯型（[具体信息未给出]）；二郎山型（[具体信息未给出]）；阿拉善型（[具体信息未给出]），[具体信息未给出]，以及[具体信息未给出]。提取基因组DNA并进行高深度基因组重测序。采用GenoBait技术进行探针设计和位点优化，随后合成低密度液相芯片。最后，从内蒙古自治区五个绒山羊群体中随机选取281个个体对芯片进行验证。(3) 结果：结果表明，最终筛选并保留了5002个SNP位点用于合成内蒙古自治区绒山羊鉴定的低密度液体芯片。主成分分析和系统发育树构建表明，[具体群体未给出]、[具体群体未给出]和[具体群体未给出]群体聚为一类。(4) 结论：该芯片能够准确鉴定[具体品种未给出]、[具体品种未给出]和[具体品种未给出]这三个品种。
