He Yaoxi, Zhang Xiaoming, Peng Min-Sheng, Li Yu-Chun, Liu Kai, Zhang Yu, Mao Leyan, Guo Yongbo, Ma Yujie, Zhou Bin, Zheng Wangshan, Yue Tian, Liao Yuwen, Liang Shen-Ao, Chen Lu, Zhang Weijie, Chen Xiaoning, Tang Bixia, Yang Xiaofei, Ye Kai, Gao Shenghan, Lu Yurun, Wang Yong, Wan Shijie, Hao Rushan, Wang Xuankai, Mao Yafei, Dai Shanshan, Gao Zongliang, Yang Li-Qin, Guo Jianxin, Li Jiangguo, Liu Chao, Wang Jianhua, Sovannary Tuot, Bunnath Long, Kampuansai Jatupol, Inta Angkhana, Srikummool Metawee, Kutanan Wibhu, Ho Huy Quang, Pham Khoa Dang, Singthong Sommay, Sochampa Somphad, Kyaing U Win, Pongamornkul Wittaya, Morlaeku Chutima, Rattanakrajangsri Kittisak, Kong Qing-Peng, Zhang Ya-Ping, Su Bing
State Key Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Yunnan Key Laboratory of Integrative Anthropology, Kunming, China.
Nature. 2025 May 14. doi: 10.1038/s41586-025-08998-w.
Mainland Southeast Asia (MSEA) has rich ethnic and cultural diversity with a population of nearly 300 million. However, people from MSEA are underrepresented in the current human genomic databases. Here we present the SEA3K genome dataset (phase I), generated by deep short-read whole-genome sequencing of 3,023 individuals from 30 MSEA populations, and long-read whole-genome sequencing of 37 representative individuals. We identified 79.59 million small variants and 96,384 structural variants, among which 22.83 million small variants and 24,622 structural variants are unique to this dataset. We observed a high genetic heterogeneity across MSEA populations, reflected by the varied combinations of genetic components. We identified 44 genomic regions with strong signatures of Darwinian positive selection, covering 89 genes involved in varied physiological systems such as physical traits and immune response. Furthermore, we observed varied patterns of archaic Denisovan introgression in MSEA populations, supporting the proposal of at least two distinct instances of Denisovan admixture into modern humans in Asia. We also detected genomic regions that suggest adaptive archaic introgressions in MSEA populations. The large number of novel genomic variants in MSEA populations highlight the necessity of studying regional populations that can help answer key questions related to prehistory, genetic adaptation and complex diseases.
东南亚大陆(MSEA)拥有丰富的民族和文化多样性,人口近3亿。然而,MSEA地区的人群在当前的人类基因组数据库中的代表性不足。在此,我们展示了SEA3K基因组数据集(第一阶段),该数据集通过对来自30个MSEA群体的3023名个体进行深度短读长全基因组测序以及对37名代表性个体进行长读长全基因组测序而生成。我们鉴定出7959万个小变异和96384个结构变异,其中2283万个小变异和24622个结构变异是该数据集独有的。我们观察到MSEA群体间存在高度的遗传异质性,这体现在遗传成分的不同组合上。我们鉴定出44个具有强烈达尔文正向选择特征的基因组区域,涵盖了89个涉及不同生理系统(如身体特征和免疫反应)的基因。此外,我们观察到MSEA群体中丹尼索瓦人古老基因渗入的不同模式,支持了至少有两次不同的丹尼索瓦人混入亚洲现代人类的提议。我们还检测到表明MSEA群体中存在适应性古老基因渗入的基因组区域。MSEA群体中大量新的基因组变异凸显了研究区域人群的必要性,这有助于回答与史前史、遗传适应和复杂疾病相关的关键问题。
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