College of Animal Science, Guizhou University, Guiyang, China.
Institute of Animal Husbandry and Veterinary Sciences, Guizhou Academy of Agricultural Sciences, Guiyang, China.
PLoS One. 2024 Nov 7;19(11):e0313297. doi: 10.1371/journal.pone.0313297. eCollection 2024.
The aim of this study is to explore the genetic characteristics of Guizhou Black goats and Meigu goats and their relationship to reproductive performance through population structure analysis, genetic diversity assessment, and selection signal analysis. Blood samples of 19 Guizhou Black goats and 11 Meigu goats were collected for whole-genome high-throughput sequencing. Using PCA and ADMIXTURE analyses, their population structure and genetic relationships were revealed. Further genetic diversity analysis showed that although there is significant population differentiation, the levels of genetic diversity are similar. Subsequently, these goats were categorized into high-yield and low-yield groups based on their litter sizes, with 15 goats in each group. Then, a selection signal analysis was performed using FST and π ratios for 33,563 SNP loci. The results identified six candidate genes, including KCNIP4, GFRA2, and DGKH, which are significantly associated with high litter performance. These findings enhanced our understanding of the genetic characteristics and population structure of Guizhou Black goats and Meigu goats. Moreover, they provide an important theoretical foundation and scientific basis for further breeding improvements.
本研究旨在通过群体结构分析、遗传多样性评估和选择信号分析，探究贵州黑山羊和梅花鹿的遗传特征及其与繁殖性能的关系。采集了 19 只贵州黑山羊和 11 只梅花鹿的血液样本，进行全基因组高通量测序。通过 PCA 和 ADMIXTURE 分析，揭示了它们的群体结构和遗传关系。进一步的遗传多样性分析表明，尽管存在显著的种群分化，但遗传多样性水平相似。随后，根据产羔数将这些羊分为高产组和低产组，每组 15 只。然后，使用 FST 和π比值对 33563 个 SNP 位点进行选择信号分析。结果鉴定出 6 个候选基因，包括 KCNIP4、GFRA2 和 DGKH，它们与高产羔性能显著相关。这些发现增进了我们对贵州黑山羊和梅花鹿遗传特征和群体结构的理解。此外，它们为进一步的育种改良提供了重要的理论基础和科学依据。
