five

青藏高原藏族人群线粒体基因组测序数据集(V1.0)(2018)

收藏
地球大数据科学工程2024-03-04 收录
下载链接:
https://data.casearth.cn/sdo/detail/5feae826819aec33049b7c2f
下载链接
链接失效反馈
官方服务:
资源简介:
采用高通量二代测序的方法,对671个藏族样本进行线粒体全基因组测序。测序平均深度1000×,确保每个样本的线粒体基因组完全覆盖(覆盖度100%)。基于系统发育思想,我们对这些数据进行质量控制,确保没有样本污染等质量问题。结合已发表的欧亚大陆其他人群的测序数据,系统研究藏族人群的母系遗传结构及其形成机制。结果表明,藏族人群中有20.98%可追溯至5.2-4.0 ka,与粟黍农业扩散至青藏高原的时间吻合。进一步分析表明,这些组分很可能于10-7 ka前起源于中国北方,与粟黍农业的起源和强化一致。因此,这些组分很可能代表了伴随粟黍农业传播进入青藏高原的粟黍农业人群。通过估算,这些组分在5.2-4.0 ka占藏族人群的40-50%。说明粟黍农业人群得迁徙极大地促进了对藏族人群的遗传结构形成。

Using high-throughput next-generation sequencing (NGS), we performed complete mitochondrial genome sequencing on 671 Tibetan samples. The average sequencing depth reached 1000×, ensuring 100% full coverage of the mitochondrial genome for each sample. Based on the phylogenetic framework, we conducted quality control on these data to exclude issues such as sample contamination. Combined with published sequencing data of other Eurasian populations, we systematically investigated the matrilineal genetic structure of the Tibetan population and its underlying formation mechanism. The results showed that 20.98% of the Tibetan population can be traced back to 5.2–4.0 ka, which is consistent with the timeline of millet agriculture spreading to the Qinghai-Tibet Plateau. Further analysis indicated that these genetic components most likely originated in northern China around 10–7 ka, aligning with the origin and intensification of millet agriculture. Therefore, these components likely represent millet agricultural populations that migrated to the Qinghai-Tibet Plateau alongside the spread of millet agriculture. Our estimates suggest that these components accounted for 40–50% of the Tibetan population during 5.2–4.0 ka, demonstrating that the migration of millet agricultural populations greatly promoted the formation of the genetic structure of the Tibetan people.
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集包含671名青藏高原藏族个体的完整线粒体基因组高通量测序数据,平均测序深度为1000×,覆盖率为100%,用于分析藏族人群的遗传景观形成过程。研究发现,藏族单倍群的分化与北方小米农业的扩散历史密切相关,表明北方农民的迁移在藏族遗传结构中扮演了重要角色。数据集提供了详细的元数据,包括地理范围、文件格式和存储信息,适用于遗传学和人类学相关研究。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务