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Li H, Wang B, Yang X, Yang X, He H, Wang R, Wang CC. Ancient genomes shed light on the genetic history of the Iron Age to historical central Xinjiang, northwest China. BMC Biol 2025; 23:93. [PMID: 40189540 PMCID: PMC11974207 DOI: 10.1186/s12915-025-02195-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Accepted: 03/18/2025] [Indexed: 04/09/2025] Open
Abstract
BACKGROUND The genetic profile of the population in Xinjiang, northwest China, has been shaped by interregional movement and admixture since the Bronze Age. However, the detailed and intraregional population history of Xinjiang, especially central Xinjiang, has been unsolved due to uneven sample distribution. RESULTS Here, we reported the ancient genomes from 8 individuals between the Iron Age and the historical period in central Xinjiang. We observed an east-west admixed ancestry profile and a degree of genetic continuity between the Iron Age and historical central Xinjiang individuals. Furthermore, these central Xinjiang individuals harboured ancestry related to ancient farmers of the Yellow River. We also identified a temporal change of the Yellow River farmers-related ancestry in central Xinjiang, showing an increase the Yelllow River affinity from Iron Age to Historical Era. CONCLUSIONS The finding indicated that the genetic structure of the central Xinjiang population since the Iron Age could have resulted from immigration from northern China, which was attributed to geopolitical factors. Hence, our results indicated that the geopolitical change with the deepening of Central Plains' management has influenced the genetic profile of central Xinjiang.
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Affiliation(s)
- Haijun Li
- School of Ethnology and Sociology, Minzu University of China, Beijing, 100081, China.
| | - Baitong Wang
- Department of Anthropology and Ethnology, Institute of Anthropology, Fujian Provincial Key Laboratory of Philosophy and Social Sciences in Bioanthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China
| | - Xiaomin Yang
- Department of Anthropology and Ethnology, Institute of Anthropology, Fujian Provincial Key Laboratory of Philosophy and Social Sciences in Bioanthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China.
| | - Xiaoyu Yang
- School of Ethnology and Sociology, Minzu University of China, Beijing, 100081, China
| | - Haifeng He
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Rui Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Chuan-Chao Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, 200438, China.
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
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Hou M, Zhu J, Leng C, Huang X, Yang M, Yin Y, Xing Y, Chen J. Composition and Biodiversity of Culturable Endophytic Fungi in the Roots of Alpine Medicinal Plants in Xinjiang, China. J Fungi (Basel) 2025; 11:113. [PMID: 39997407 PMCID: PMC11856231 DOI: 10.3390/jof11020113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2024] [Revised: 01/19/2025] [Accepted: 02/01/2025] [Indexed: 02/26/2025] Open
Abstract
(1) Background: Endophytic fungi play an important role in plant growth and stress resistance. The presence of a special fungal taxon such as the dark septate endophytic (DSE) fungi in alpine environments is particularly important for plant resistance to environmental stresses. However, the composition of root endophytic fungi in different environments and between different host plants has not been well studied. (2) Results: A total of 408 culturable endophytic fungi were isolated from the roots of Saussurea involucrata and Rhodiola crenulata which were collected in 5 plots from the Tianshan and Karakoram Mountains of the Xinjiang region, belonging to 91 species, 54 genera, 31 families, and 3 phyla based on the morphological characteristics and molecular sequence. Among them, DSE fungi were the dominant group, accounting for 52.94%, and Leptodontidium orchidicola was the dominant species. In addition, we also compared the composition and diversity of root endophytic fungi from different plants and different sites, with emphasis on special fungal taxa such as DSE. (3) Conclusions: The composition and diversity of cultural endophytic fungi are significantly different in the two alpine medicinal plant species and across various locations. Some fungi showed the preferences of the host or environment. The endophytic fungal resources, especially DSE, were very rich in the two alpine medicinal plants, indicating that these fungi may play a crucial role in the ecological adaptation of host plants in harsh environments.
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Affiliation(s)
- Mengyan Hou
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, No.151, Malianwa North Road, Haidian District, Beijing 100193, China; (M.H.); (C.L.); (X.H.); (M.Y.); (Y.Y.)
| | - Jun Zhu
- Xinjiang Institute of Chinese and Ethnic Medicine, Urumqi 830002, China;
| | - Chunyan Leng
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, No.151, Malianwa North Road, Haidian District, Beijing 100193, China; (M.H.); (C.L.); (X.H.); (M.Y.); (Y.Y.)
| | - Xinjie Huang
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, No.151, Malianwa North Road, Haidian District, Beijing 100193, China; (M.H.); (C.L.); (X.H.); (M.Y.); (Y.Y.)
| | - Mingshu Yang
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, No.151, Malianwa North Road, Haidian District, Beijing 100193, China; (M.H.); (C.L.); (X.H.); (M.Y.); (Y.Y.)
| | - Yifei Yin
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, No.151, Malianwa North Road, Haidian District, Beijing 100193, China; (M.H.); (C.L.); (X.H.); (M.Y.); (Y.Y.)
| | - Yongmei Xing
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, No.151, Malianwa North Road, Haidian District, Beijing 100193, China; (M.H.); (C.L.); (X.H.); (M.Y.); (Y.Y.)
| | - Juan Chen
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, No.151, Malianwa North Road, Haidian District, Beijing 100193, China; (M.H.); (C.L.); (X.H.); (M.Y.); (Y.Y.)
- School of Pharmacy, Shandong Second Medical University, Weifang 261053, China
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Sun Q, Wang M, Lu T, Duan S, Liu Y, Chen J, Wang Z, Sun Y, Li X, Wang S, Lu L, Hu L, Yun L, Yang J, Yan J, Nie S, Zhu Y, Chen G, Wang CC, Liu C, He G, Tang R. Differentiated adaptative genetic architecture and language-related demographical history in South China inferred from 619 genomes from 56 populations. BMC Biol 2024; 22:55. [PMID: 38448908 PMCID: PMC10918984 DOI: 10.1186/s12915-024-01854-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 02/26/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND The underrepresentation of human genomic resources from Southern Chinese populations limited their health equality in the precision medicine era and complete understanding of their genetic formation, admixture, and adaptive features. Besides, linguistical and genetic evidence supported the controversial hypothesis of their origin processes. One hotspot case was from the Chinese Guangxi Pinghua Han people (GPH), whose language was significantly similar to Southern Chinese dialects but whose uniparental gene pool was phylogenetically associated with the indigenous Tai-Kadai (TK) people. Here, we analyzed genome-wide SNP data in 619 people from four language families and 56 geographically different populations, in which 261 people from 21 geographically distinct populations were first reported here. RESULTS We identified significant population stratification among ethnolinguistically diverse Guangxi populations, suggesting their differentiated genetic origin and admixture processes. GPH shared more alleles related to Zhuang than Southern Han Chinese but received more northern ancestry relative to Zhuang. Admixture models and estimates of genetic distances showed that GPH had a close genetic relationship with geographically close TK compared to Northern Han Chinese, supporting their admixture origin hypothesis. Further admixture time and demographic history reconstruction supported GPH was formed via admixture between Northern Han Chinese and Southern TK people. We identified robust signatures associated with lipid metabolisms, such as fatty acid desaturases (FADS) and medically relevant loci associated with Mendelian disorder (GJB2) and complex diseases. We also explored the shared and unique selection signatures of ethnically different but linguistically related Guangxi lineages and found some shared signals related to immune and malaria resistance. CONCLUSIONS Our genetic analysis illuminated the language-related fine-scale genetic structure and provided robust genetic evidence to support the admixture hypothesis that can explain the pattern of observed genetic diversity and formation of GPH. This work presented one comprehensive analysis focused on the population history and demographical adaptative process, which provided genetic evidence for personal health management and disease risk prediction models from Guangxi people. Further large-scale whole-genome sequencing projects would provide the entire landscape of southern Chinese genomic diversity and their contributions to human health and disease traits.
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Affiliation(s)
- Qiuxia Sun
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
| | - Tao Lu
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Xiangping Li
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Shaomei Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Public Health, Chengdu Medical College, Chengdu, 610500, China
| | - Liuyi Lu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Libing Yun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Junbao Yang
- School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yanfeng Zhu
- Department of Public Health, Chengdu Medical College, Chengdu, 610500, China
| | - Gang Chen
- Hunan Key Lab of Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410075, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, Fujian, China
| | - Chao Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China
- Guangzhou Forensic Science Institute, Guangzhou, 510055, China
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China
| | - Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China.
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Zhang S, Zhang R, Yuan K, Yang L, Liu C, Liu Y, Ni X, Xu S. Reconstructing complex admixture history using a hierarchical model. Brief Bioinform 2024; 25:bbad540. [PMID: 38261339 PMCID: PMC10805183 DOI: 10.1093/bib/bbad540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/04/2023] [Accepted: 12/22/2023] [Indexed: 01/24/2024] Open
Abstract
Various methods have been proposed to reconstruct admixture histories by analyzing the length of ancestral chromosomal tracts, such as estimating the admixture time and number of admixture events. However, available methods do not explicitly consider the complex admixture structure, which characterizes the joining and mixing patterns of different ancestral populations during the admixture process, and instead assume a simplified one-by-one sequential admixture model. In this study, we proposed a novel approach that considers the non-sequential admixture structure to reconstruct admixture histories. Specifically, we introduced a hierarchical admixture model that incorporated four ancestral populations and developed a new method, called HierarchyMix, which uses the length of ancestral tracts and the number of ancestry switches along genomes to reconstruct the four-way admixture history. By automatically selecting the optimal admixture model using the Bayesian information criterion principles, HierarchyMix effectively estimates the corresponding admixture parameters. Simulation studies confirmed the effectiveness and robustness of HierarchyMix. We also applied HierarchyMix to Uyghurs and Kazakhs, enabling us to reconstruct the admixture histories of Central Asians. Our results highlight the importance of considering complex admixture structures and demonstrate that HierarchyMix is a useful tool for analyzing complex admixture events.
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Affiliation(s)
- Shi Zhang
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing, 100044, China
| | - Rui Zhang
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Kai Yuan
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Lu Yang
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing, 100044, China
| | - Chang Liu
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yuting Liu
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing, 100044, China
| | - Xumin Ni
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing, 100044, China
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032 , China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai 201203, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
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Li X, Zhang X, Yu T, Ye L, Huang T, Chen Y, Liu S, Wen Y. Whole mitochondrial genome analysis in highland Tibetans: further matrilineal genetic structure exploration. Front Genet 2023; 14:1221388. [PMID: 38034496 PMCID: PMC10682103 DOI: 10.3389/fgene.2023.1221388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 08/21/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction: The Qinghai-Tibet Plateau is one of the last terrestrial environments conquered by modern humans. Tibetans are among the few high-altitude settlers in the world, and understanding the genetic profile of Tibetans plays a pivotal role in studies of anthropology, genetics, and archaeology. Methods: In this study, we investigated the maternal genetic landscape of Tibetans based on the whole mitochondrial genome collected from 145 unrelated native Lhasa Tibetans. Molecular diversity indices, haplotype diversity (HD), Tajima's D and Fu's Fs were calculated and the Bayesian Skyline Plot was obtained to determining the genetic profile and population fluctuation of Lhasa Tibetans. To further explore the genetic structure of Lhasa Tibetans, we collected 107 East Asian reference populations to perform principal component analysis (PCA), multidimensional scaling (MDS), calculated Fst values and constructed phylogenetic tree. Results: The maternal genetic landscape of Tibetans showed obvious East Asian characteristics, M9a (28.28%), R (11.03%), F1 (12.41%), D4 (9.66%), N (6.21%), and M62 (4.14%) were the dominant haplogroups. The results of PCA, MDS, Fst and phylogenetic tree were consistent: Lhasa Tibetans clustered with other highland Tibeto-Burman speakers, there was obvious genetic homogeneity of Tibetans in Xizang, and genetic similarity between Tibetans and northern Han people and geographically adjacent populations was found. In addition, specific maternal lineages of Tibetans also be determined in this study. Discussion: In general, this study further shed light on long-time matrilineal continuity on the Tibetan Plateau and the genetic connection between Tibetans and millet famers in the Yellow River Basin, and further revealed that multiple waves of population interaction and admixture during different historical periods between lowland and highland populations shaped the maternal genetic profile of Tibetans.
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Affiliation(s)
- Xin Li
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Xianpeng Zhang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Ting Yu
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Liping Ye
- Department of Pathophysiology, Jinzhou Medical University, Jinzhou, China
| | - Ting Huang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Ying Chen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Shuhan Liu
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Youfeng Wen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
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Halili B, Yang X, Wang R, Zhu K, Hai X, Wang CC. Inferring the population history of Kyrgyz in Xinjiang, Northwest China from genome-wide array genotyping. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2023; 181:611-625. [PMID: 37310136 DOI: 10.1002/ajpa.24794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 04/29/2023] [Accepted: 05/26/2023] [Indexed: 06/14/2023]
Abstract
OBJECTIVES Xinjiang plays a vital role in the trans-Eurasian population migration, language diffusion, and culture and technology exchange. However, the underrepresentation of Xinjiang's genomes has hindered a more comprehensive understanding of Xinjiang's genetic structure and population history. MATERIALS AND METHODS We collected and genotyped 70 southern Xinjiang's Kyrgyz (SXJK) individuals and combined the data with modern and ancient Eurasians published. We used allele-frequency methods, including PCA, ADMIXTURE, f-statistics, qpWave/qpAdm, ALDER, Treemix, and haplotype-shared methods including shared-IBD segments, fineSTRUCTURE, and GLOBETROTTER to unveil the fine-scale population structure and reconstruct admixture history. RESULTS We identified genetic substructure within the SXJK population with subgroups showing different genetic affinities to West and East Eurasians. All SXJK subgroups were suggested to have close genetic relationships with surrounding Turkic-speaking groups that is, Uyghur, Kyrgyz from north Xinjiang and Tajikistan, and Chinese Kazakh, suggesting a shared ancestry among those populations. Outgroup-f3 and symmetrical f4 statistics showed a high genetic affinity of SXJK to present-day Tungusic, Mongolic-speaking populations and Ancient Northeast Asian (ANA) related groups. Allele sharing and haplotype sharing profiles revealed the east-west admixture pattern of SXJK. The qpAdm-based admixture models showed that SXJK derived ancestry from East Eurasian (ANA and East Asian, 42.7%-83.3%) and West Eurasian (Western Steppe herders and Central Asian, 16.7%-57.3%), the recent east-west admixture event could be traced to 1000 years ago based on ALDER and GLOBETROTTER analysis. DISCUSSION The high genetic affinity of SXJK to present-day Tungusic and Mongolic-speaking populations and short-shared IBD segments indicated their shared common ancestry. SXJK harbored a close genetic affinity to ANA-related populations, indicating the Northeast Asian origin of SXJK. The West and East Eurasian admixture models observed in SXJK further provided evidence of the dynamic admixture history in Xinjiang. The east-west admixture pattern and the identified ancestral makeup of SXJK suggested a genetic continuity from some Iron Age Xinjiang populations to present-day SXJK.
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Affiliation(s)
- Bubibatima Halili
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China
| | - Xiaomin Yang
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China
| | - Rui Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Kongyang Zhu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Xiangjun Hai
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, Northwest Minzu University, Lanzhou, China
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
- Institute of Artificial Intelligence, Xiamen University, Xiamen, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
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7
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He L, Cao H, Wang Y, Liu R, Qiu M, Wei W, Dong G. Human migration in the eastern Tianshan Mountains between the 7th and 12th centuries. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2023; 181:107-117. [PMID: 36919668 DOI: 10.1002/ajpa.24724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 02/25/2023] [Accepted: 02/27/2023] [Indexed: 03/16/2023]
Abstract
OBJECTIVE Mid- to late-Holocene large-scale population migration profoundly impacted the interaction of ethnic groups and cultures across Eurasia, notably in Central Asia. However, due to a lack of thorough historical documents, distinctive burial items, and human remains, the process of population migration during this historical era in the area is still unclear. Using an interdisciplinary approach at the Lafuqueke (LFQK) cemetery, this study investigates the spatiotemporal processes and explores the factors that influenced human migration in the eastern Tianshan Mountains between the 7th and 12th centuries. MATERIALS AND METHODS In this study, tooth enamel from 56 human remains found in the LFQK cemetery in Hami Basin, eastern Tianshan Mountains, is examined for strontium and lead isotopes. RESULTS The early, middle, and late phases of migration might potentially be represented by a three-phase migration model, according to the isotopic study. The highest proportion of the early phase (ca. 7th-mid 7th century) comprised non-locals (54.55%), although this percentage decreased in the middle phase (mid 7th-mid 8th centuries, 30.77%). After the 10th century, the proportion of non-locals again fell (16.13%). CONCLUSION In this study, the interdisciplinary approach was employed to propose a new model for the diachronic changes that accompanied human migration and cultural interaction in the eastern Tianshan Mountains and identified geopolitics as a significant factor influencing the migratory behavior of LFQK population in this region between the 7th and 12th centuries.
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Affiliation(s)
- Letian He
- Department of Archaeology and Museology, School of History and Culture, Lanzhou University, Lanzhou, China
| | - Huihui Cao
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
| | - Yongqiang Wang
- Institute of Cultural Relics and Archaeology in Xinjiang, Urumqi, Xinjiang, China
| | - Ruiliang Liu
- School of Archaeology, University of Oxford, Oxford, UK
| | - Menghan Qiu
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
| | - Wenbin Wei
- Department of Archaeology and Museology, School of History and Culture, Lanzhou University, Lanzhou, China
| | - Guanghui Dong
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
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8
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Zhou J, Zhang X, Li X, Sui J, Zhang S, Zhong H, Zhang Q, Zhang X, Huang H, Wen Y. Genetic structure and demographic history of Northern Han people in Liaoning Province inferred from genome-wide array data. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.1014024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
In this study, we used typical and advanced population genetic analysis methods [principal component analysis (PCA), ADMIXTURE, FST, f3-statistics, f4-statistics, qpAdm/qpWave, qpGraph, ALDER (Admixture-induced Linkage Disequilibrium for Evolutionary Relationships) and TreeMix] to explore the genetic structure of 80 Han individuals from four different cities in Liaoning Province and reconstruct their demographic history based on the newly generated genome-wide data. We found that Liaoning Han people have genetic similarities with other northern Han people (Shandong, Henan, and Shanxi) and Liaoning Manchu people. Millet farmers in the Yellow River Basin (YRB) and the West Liao River Basin (WLRB) (57–98%) and hunter-gatherers in the Mongolian Plateau (MP) and the Amur River Basin (ARB) (40–43%) are the main ancestral sources of the Liaoning Han people. Our study further supports the “northern origin hypothesis”; YRB-related ancestry accounts for 83–98% of the genetic makeup of the Liaoning Han population. There are clear genetic influences of northern East Asian populations in the Liaoning Han people, ancient Northeast Asian-related ancestry is another dominant ancestral component, and large-scale population admixture has happened between Tungusic Manchu people and Han people. There are genetic differences among the Liaoning Han people, and we found that these differences are associated with different migration routes of Hans during the “Chuang Guandong” period in historical records.
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Hou X, Zhang X, Li X, Huang T, Li W, Zhang H, Huang H, Wen Y. Genomic insights into the genetic structure and population history of Mongolians in Liaoning Province. Front Genet 2022; 13:947758. [PMID: 36313460 PMCID: PMC9596793 DOI: 10.3389/fgene.2022.947758] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 09/26/2022] [Indexed: 11/29/2022] Open
Abstract
The Mongolian population exceeds six million and is the largest population among the Mongolic speakers in China. However, the genetic structure and admixture history of the Mongolians are still unclear due to the limited number of samples and lower coverage of single-nucleotide polymorphism (SNP). In this study, we genotyped genome-wide data of over 700,000 SNPs in 38 Mongolian individuals from Fuxin in Liaoning Province to explore the genetic structure and population history based on typical and advanced population genetic analysis methods [principal component analysis (PCA), admixture, FST, f3-statistics, f4-statistics, qpAdm/qpWave, qpGraph, ALDER, and TreeMix]. We found that Fuxin Mongolians had a close genetic relationship with Han people, northern Mongolians, other Mongolic speakers, and Tungusic speakers in East Asia. Also, we found that Neolithic millet farmers in the Yellow River Basin and West Liao River Basin and Neolithic hunter–gatherers in the Mongolian Plateau and Amur River Basin were the dominant ancestral sources, and there were additional gene flows related to Eurasian Steppe pastoralists and Neolithic Iranian farmers in the gene pool of Fuxin Mongolians. These results shed light on dynamic demographic history, complex population admixture, and multiple sources of genetic diversity in Fuxin Mongolians.
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10
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Dai SS, Sulaiman X, Isakova J, Xu WF, Abdulloevich NT, Afanasevna ME, Ibrohimovich KB, Chen X, Yang WK, Wang MS, Shen QK, Yang XY, Yao YG, Aldashev AA, Saidov A, Chen W, Cheng LF, Peng MS, Zhang YP. The genetic echo of the Tarim mummies in modern Central Asians. Mol Biol Evol 2022; 39:6675590. [PMID: 36006373 PMCID: PMC9469894 DOI: 10.1093/molbev/msac179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
The diversity of Central Asians has been shaped by multiple migrations and cultural diffusion. Although ancient DNA studies have revealed the demographic changes of the Central Asian since the Bronze Age, the contribution of the ancient populations to the modern Central Asian remains opaque. Herein, we performed high-coverage sequencing of 131 whole genomes of Indo-European-speaking Tajik and Turkic-speaking Kyrgyz populations to explore their genomic diversity and admixture history. By integrating the ancient DNA data, we revealed more details of the origins and admixture history of Central Asians. We found that the major ancestry of present-day Tajik populations can be traced back to the admixture of the Bronze Age Bactria–Margiana Archaeological Complex and Andronovo-related populations. Highland Tajik populations further received additional gene flow from the Tarim mummies, an isolated ancient North Eurasian–related population. The West Eurasian ancestry of Kyrgyz is mainly derived from Historical Era populations in Xinjiang of China. Furthermore, the recent admixture signals detected in both Tajik and Kyrgyz are ascribed to the expansions of Eastern Steppe nomadic pastoralists during the Historical Era.
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Affiliation(s)
- Shan Shan Dai
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Xierzhatijiang Sulaiman
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Department of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830054, China
| | - Jainagul Isakova
- Institute of Molecular Biology and Medicine, Bishkek 720040, Kyrgyzstan
| | - Wei Fang Xu
- Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen 518034, China
| | - Najmudinov Tojiddin Abdulloevich
- E.N. Pavlovsky Institute of Zoology and Parasitology, Academy of Sciences of Republic of Tajikistan, Dushanbe 734025, Tajikistan
| | - Manilova Elena Afanasevna
- E.N. Pavlovsky Institute of Zoology and Parasitology, Academy of Sciences of Republic of Tajikistan, Dushanbe 734025, Tajikistan
| | - Khudoidodov Behruz Ibrohimovich
- E.N. Pavlovsky Institute of Zoology and Parasitology, Academy of Sciences of Republic of Tajikistan, Dushanbe 734025, Tajikistan
| | - Xi Chen
- Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China.,State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
| | - Wei Kang Yang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
| | - Ming Shan Wang
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Quan Kuan Shen
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Xing Yan Yang
- Key Laboratory of Chemistry in Ethnic Medicinal Resource, Yunnan Minzu University, Kunming 650504, China.,School of Chemistry and Environment, Yunnan Minzu University, Kunming 650504, China
| | - Yong Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,KIZ/CUHK Joint Laboratory of Bio-resources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Almaz A Aldashev
- Institute of Molecular Biology and Medicine, Bishkek 720040, Kyrgyzstan
| | - Abdusattor Saidov
- E.N. Pavlovsky Institute of Zoology and Parasitology, Academy of Sciences of Republic of Tajikistan, Dushanbe 734025, Tajikistan
| | - Wei Chen
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650224, China.,State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming 650224, China
| | - Lu Feng Cheng
- Department of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830054, China
| | - Min Sheng Peng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,KIZ/CUHK Joint Laboratory of Bio-resources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Ya Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,KIZ/CUHK Joint Laboratory of Bio-resources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China.,State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China
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11
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Dong J, Wang S, Chen G, Wei W, Du L, Xu Y, Ma M, Dong G. Stable Isotopic Evidence for Human and Animal Diets From the Late Neolithic to the Ming Dynasty in the Middle-Lower Reaches of the Hulu River Valley, NW China. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.905371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The study of human and animal paleodiets, representing the unique subsistence strategies and human-environment interactions adopted over evolutionary time, has attracted intensive research attention. Historically, the western Loess Plateau (WLP) served as a key area for the evolution of human-land relationship. The human subsistence patterns in the WLP changed significantly from prehistoric to historical periods based on archaeobotanical data. However, the trajectory and influencing factors of ancient human and animal diets in the WLP remain unclear, mainly due to the lack of isotopic data in the upper reaches of the Wei River. In this paper, we reported 172 human and animal isotope samples (C and N) and 23 radiocarbon dates from three sites in the middle-lower reaches of the Hulu River Valley (HRV). At least three periods of dietary patterns for humans were observed in the WLP from the late Neolithic to Ming Dynasty. During 5300–4000 Before Present (BP), humans and domesticated animals such as pigs and dogs consumed a greater proportion of millets and millet byproducts. Between 3000 and 2200 BP, the diets of pigs and dogs remained largely comprised of C4 foods, while humans consumed both C3 and C4 foods, which contradicted the evidence of an overwhelming proportion of wheat and barley (C3 crops) from the contemporaneous cultural sediment. The contradictions between plant remains and human diets are probably related to geopolitical factors. Between 1000–500 BP, human diets were more diverse and heterogeneous in this region. Combined with environmental and archaeological evidence, the changes in diets and subsistence strategies over the three periods can be attributed to the comprehensive influence of regional cultural development, geopolitics and technological innovation. This paper not only reveals the trajectory and influencing factors of ancient human and animal diets in the middle-lower HRV, but also explores how subsistence strategies, particularly in terms of dietary structure, will change in the context of cultural exchange and diffusion, and emphasizes the important influence of geopolitical interactions in the WLP.
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12
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Kumar V, Wang W, Zhang J, Wang Y, Ruan Q, Yu J, Wu X, Hu X, Wu X, Guo W, Wang B, Niyazi A, Lv E, Tang Z, Cao P, Liu F, Dai Q, Yang R, Feng X, Ping W, Zhang L, Zhang M, Hou W, Liu Y, Bennett EA, Fu Q. Bronze and Iron Age population movements underlie Xinjiang population history. Science 2022; 376:62-69. [PMID: 35357918 DOI: 10.1126/science.abk1534] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The Xinjiang region in northwest China is a historically important geographical passage between East and West Eurasia. By sequencing 201 ancient genomes from 39 archaeological sites, we clarify the complex demographic history of this region. Bronze Age Xinjiang populations are characterized by four major ancestries related to Early Bronze Age cultures from the central and eastern Steppe, Central Asian, and Tarim Basin regions. Admixtures between Middle and Late Bronze Age Steppe cultures continued during the Late Bronze and Iron Ages, along with an inflow of East and Central Asian ancestry. Historical era populations show similar admixed and diverse ancestries as those of present-day Xinjiang populations. These results document the influence that East and West Eurasian populations have had over time in the different regions of Xinjiang.
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Affiliation(s)
- Vikas Kumar
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China.,Shanghai Qi Zhi Institute, Shanghai 200232, China
| | - Wenjun Wang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China.,National Centre for Archaeology, Beijing 100013, China
| | - Jie Zhang
- Institute of Cultural Relics and Archaeology in Xinjiang, Urumqi 830011, China
| | - Yongqiang Wang
- Institute of Cultural Relics and Archaeology in Xinjiang, Urumqi 830011, China
| | - Qiurong Ruan
- Institute of Cultural Relics and Archaeology in Xinjiang, Urumqi 830011, China
| | - Jianjun Yu
- Institute of Cultural Relics and Archaeology in Xinjiang, Urumqi 830011, China
| | - Xiaohong Wu
- School of Archaeology and Museology, Peking University, Beijing 100871, China
| | - Xingjun Hu
- Institute of Cultural Relics and Archaeology in Xinjiang, Urumqi 830011, China
| | - Xinhua Wu
- Institute of Archaeology, Chinese Academy of Social Science, Beijing 100710, China
| | - Wu Guo
- Institute of Archaeology, Chinese Academy of Social Science, Beijing 100710, China
| | - Bo Wang
- Xinjiang Uygur Autonomous Region Museum, Urumqi 830002, China
| | - Alipujiang Niyazi
- Institute of Cultural Relics and Archaeology in Xinjiang, Urumqi 830011, China
| | - Enguo Lv
- Institute of Cultural Relics and Archaeology in Xinjiang, Urumqi 830011, China
| | - Zihua Tang
- Institute of Geology and Geophysics, Chinese Academy of Science, Beijing 100020, China
| | - Peng Cao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Feng Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Qingyan Dai
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Ruowei Yang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Xiaotian Feng
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Wanjing Ping
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Lizhao Zhang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Ming Zhang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Weihong Hou
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Yichen Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China.,Shanghai Qi Zhi Institute, Shanghai 200232, China
| | - E Andrew Bennett
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Qiaomei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China.,Shanghai Qi Zhi Institute, Shanghai 200232, China.,University of Chinese Academy of Sciences, Beijing 100049, China
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13
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Cardinali I, Bodner M, Capodiferro MR, Amory C, Rambaldi Migliore N, Gomez EJ, Myagmar E, Dashzeveg T, Carano F, Woodward SR, Parson W, Perego UA, Lancioni H, Achilli A. Mitochondrial DNA Footprints from Western Eurasia in Modern Mongolia. Front Genet 2022; 12:819337. [PMID: 35069708 PMCID: PMC8773455 DOI: 10.3389/fgene.2021.819337] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 12/14/2021] [Indexed: 11/15/2022] Open
Abstract
Mongolia is located in a strategic position at the eastern edge of the Eurasian Steppe. Nomadic populations moved across this wide area for millennia before developing more sedentary communities, extended empires, and complex trading networks, which connected western Eurasia and eastern Asia until the late Medieval period. We provided a fine-grained portrait of the mitochondrial DNA (mtDNA) variation observed in present-day Mongolians and capable of revealing gene flows and other demographic processes that took place in Inner Asia, as well as in western Eurasia. The analyses of a novel dataset (N = 2,420) of mtDNAs highlighted a clear matrilineal differentiation within the country due to a mixture of haplotypes with eastern Asian (EAs) and western Eurasian (WEu) origins, which were differentially lost and preserved. In a wider genetic context, the prevalent EAs contribution, larger in eastern and central Mongolian regions, revealed continuous connections with neighboring Asian populations until recent times, as attested by the geographically restricted haplotype-sharing likely facilitated by the Genghis Khan’s so-called Pax Mongolica. The genetic history beyond the WEu haplogroups, notably detectable on both sides of Mongolia, was more difficult to explain. For this reason, we moved to the analysis of entire mitogenomes (N = 147). Although it was not completely possible to identify specific lineages that evolved in situ, two major changes in the effective (female) population size were reconstructed. The more recent one, which began during the late Pleistocene glacial period and became steeper in the early Holocene, was probably the outcome of demographic events connected to western Eurasia. The Neolithic growth could be easily explained by the diffusion of dairy pastoralism, as already proposed, while the late glacial increase indicates, for the first time, a genetic connection with western Eurasian refuges, as supported by the unusual high frequency and internal sub-structure in Mongolia of haplogroup H1, a well-known post-glacial marker in Europe. Bronze Age events, without a significant demographic impact, might explain the age of some mtDNA haplogroups. Finally, a diachronic comparison with available ancient mtDNAs made it possible to link six mitochondrial lineages of present-day Mongolians to the timeframe and geographic path of the Silk Route.
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Affiliation(s)
- Irene Cardinali
- Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy
| | - Martin Bodner
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Christina Amory
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Edgar J Gomez
- Sorenson Molecular Genealogy Foundation, Salt Lake City, UT, United States.,FamilySearch Int., Salt Lake City, UT, United States
| | - Erdene Myagmar
- Department of Anthropology and Archaeology, National University of Mongolia, Ulaanbaatar, Mongolia
| | - Tumen Dashzeveg
- Department of Anthropology and Archaeology, National University of Mongolia, Ulaanbaatar, Mongolia
| | - Francesco Carano
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Scott R Woodward
- Sorenson Molecular Genealogy Foundation, Salt Lake City, UT, United States
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria.,Forensic Science Program, The Pennsylvania State University, State College, PA, United States
| | - Ugo A Perego
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy.,Sorenson Molecular Genealogy Foundation, Salt Lake City, UT, United States.,Department of Math and Science, Southeastern Community College, Burlington, IA, United States
| | - Hovirag Lancioni
- Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy
| | - Alessandro Achilli
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
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14
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Doumani Dupuy PN. The unexpected ancestry of Inner Asian mummies. Nature 2021; 599:204-206. [PMID: 34707262 DOI: 10.1038/d41586-021-02872-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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15
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Ning C, Zheng HX, Zhang F, Wu S, Li C, Zhao Y, Xu Y, Wei D, Wu Y, Gao S, Jin L, Cui Y. Ancient Mitochondrial Genomes Reveal Extensive Genetic Influence of the Steppe Pastoralists in Western Xinjiang. Front Genet 2021; 12:740167. [PMID: 34630530 PMCID: PMC8493956 DOI: 10.3389/fgene.2021.740167] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 08/20/2021] [Indexed: 11/15/2022] Open
Abstract
The population prehistory of Xinjiang has been a hot topic among geneticists, linguists, and archaeologists. Current ancient DNA studies in Xinjiang exclusively suggest an admixture model for the populations in Xinjiang since the early Bronze Age. However, almost all of these studies focused on the northern and eastern parts of Xinjiang; the prehistoric demographic processes that occurred in western Xinjiang have been seldomly reported. By analyzing complete mitochondrial sequences from the Xiabandi (XBD) cemetery (3,500–3,300 BP), the up-to-date earliest cemetery excavated in western Xinjiang, we show that all the XBD mitochondrial sequences fall within two different West Eurasian mitochondrial DNA (mtDNA) pools, indicating that the migrants into western Xinjiang from west Eurasians were a consequence of the early expansion of the middle and late Bronze Age steppe pastoralists (Steppe_MLBA), admixed with the indigenous populations from Central Asia. Our study provides genetic links for an early existence of the Indo-Iranian language in southwestern Xinjiang and suggests that the existence of Andronovo culture in western Xinjiang involved not only the dispersal of ideas but also population movement.
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Affiliation(s)
- Chao Ning
- School of Life Sciences, Jilin University, Changchun, China.,Max Planck Institute for the Science of Human History, Jena, Germany
| | - Hong-Xiang Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, and Human Phenome Institute, Fudan University, Shanghai, China
| | - Fan Zhang
- School of Life Sciences, Jilin University, Changchun, China
| | - Sihao Wu
- School of Life Sciences, Jilin University, Changchun, China
| | - Chunxiang Li
- School of Life Sciences, Jilin University, Changchun, China
| | - Yongbin Zhao
- College of Life Science, Jilin Normal University, Siping, China
| | - Yang Xu
- School of Life Sciences, Jilin University, Changchun, China
| | - Dong Wei
- School of Archaeology, Jilin University, Changchun, China
| | - Yong Wu
- Xinjiang Cultural Relics and Archaeology Institute, Urumchi, China
| | - Shizhu Gao
- School of Pharmaceutical Sciences, Jilin University, Changchun, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, and Human Phenome Institute, Fudan University, Shanghai, China
| | - Yinqiu Cui
- School of Life Sciences, Jilin University, Changchun, China
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