Guang-Xin E, Yang Bai-Gao, Zhu Yan-Bin, Duang Xing-Hai, Basang Wang-Dui, Luo Xiao-Lin, An Tian-Wu
1College of Animal Science and Technology, Southwest University, No. 2 Tiansheng Road, Chongqing, 400715 China.
2State Key Laboratory of Barley and Yak Germplasm Resources and Genetic Improvement (Tibet Academy of Agricultural and Animal Husbandry Sciences (TAAAS)), Lhasa, 850002 China.
3 Biotech. 2020 Jun;10(6):259. doi: 10.1007/s13205-020-02254-w. Epub 2020 May 18.
The domestic yak () from the Qinghai-Tibet Plateau is an important animal model in high-altitude adaptation studies. Here, we performed the genome-wide selective sweep analysis to identify the candidate copy number variation (CNV) for the high-altitude adaptation of yaks. A total of 531 autosomal CNVs were determined from 29 yak genome-wide resequencing data (15 high- and 14 low-altitude distributions) by using a CNV caller with a CNV identification interval > 5 kb, CNV silhouette score > 0.7, and minimum allele frequency > 0.05. Most high-frequency CNVs were located at the exonic (44.63%) and intergenic (46.52%) regions. In accordance with the results of the selective sweep analysis, 7 candidate CNVs were identified from the interaction of the top 20 CNVs with highest divergence from the and between the low (LA) and high (HA) altitudes. Five genes (i.e., , , , , and ) were also annotated from the seven candidate CNVs and their upstream and downstream ranges at 300 kb. , , and were enriched in five known signal pathways, namely, glutamatergic synapse, JAK-STAT signaling pathway, cytokine-cytokine receptor interaction, neuroactive ligand-receptor interaction, and olfactory transduction. These pathways are involved in the environmental adaptability and various physiological functions of animals, especially the physiological regulation under a hypoxic environment. The results of this study advanced the understanding of CNV as an important genomic structure variant type that contributes to HA adaptation and helped further explain the molecular mechanisms underlying the altitude adaptability of yaks.
来自青藏高原的家养牦牛()是高原适应性研究中的重要动物模型。在此,我们进行了全基因组选择性清除分析,以鉴定牦牛高原适应性的候选拷贝数变异(CNV)。通过使用一个CNV识别区间>5 kb、CNV轮廓得分>0.7且最小等位基因频率>0.05的CNV调用程序,从29个牦牛全基因组重测序数据(15个高海拔和14个低海拔分布)中确定了总共531个常染色体CNV。大多数高频CNV位于外显子(44.63%)和基因间(46.52%)区域。根据选择性清除分析的结果,从低海拔(LA)和高海拔(HA)之间与牦牛和黄牛差异最大的前20个CNV的相互作用中鉴定出7个候选CNV。还从这7个候选CNV及其上下游300 kb范围内注释了5个基因(即、、、和)。、和在五个已知信号通路中富集,即谷氨酸能突触、JAK-STAT信号通路、细胞因子-细胞因子受体相互作用、神经活性配体-受体相互作用和嗅觉转导。这些通路参与动物的环境适应性和各种生理功能,特别是在缺氧环境下的生理调节。本研究结果推进了对CNV作为有助于高原适应的重要基因组结构变异类型的理解,并有助于进一步解释牦牛高原适应性的分子机制。