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Zhang X, He G, Li W, Wang Y, Li X, Chen Y, Qu Q, Wang Y, Xi H, Wang CC, Wen Y. Genomic Insight Into the Population Admixture History of Tungusic-Speaking Manchu People in Northeast China. Front Genet 2021; 12:754492. [PMID: 34659368 PMCID: PMC8515022 DOI: 10.3389/fgene.2021.754492] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 08/30/2021] [Indexed: 11/13/2022] Open
Abstract
Manchu is the third-largest ethnic minority in China and has the largest population size among the Tungusic-speaking groups. However, the genetic origin and admixture history of the Manchu people are far from clear due to the sparse sampling and a limited number of markers genotyped. Here, we provided the first batch of genome-wide data of genotyping approximate 700,000 single-nucleotide polymorphisms (SNPs) in 93 Manchu individuals collected from northeast China. We merged the newly generated data with data of publicly available modern and ancient East Asians to comprehensively characterize the genetic diversity and fine-scale population structure, as well as explore the genetic origin and admixture history of northern Chinese Manchus. We applied both descriptive methods of ADMIXTURE, fineSTRUCTURE, F ST , TreeMix, identity by decedent (IBD), principal component analysis (PCA), and qualitative f-statistics (f 3, f 4, qpAdm, and qpWave). We found that Liaoning Manchus have a close genetic relationship and significant admixture signal with northern Han Chinese, which is in line with the cluster patterns in the haplotype-based results. Additionally, the qpAdm-based admixture models showed that modern Manchu people were formed as major ancestry related to Yellow River farmers and minor ancestry linked to ancient populations from Amur River Bain, or others. In summary, the northeastern Chinese Manchu people in Liaoning were an exception to the coherent genetic structure of Tungusic-speaking populations, probably due to the large-scale population migrations and genetic admixtures in the past few hundred years.
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Affiliation(s)
- Xianpeng Zhang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Guanglin He
- State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
- School of Humanities, Nanyang Technological University, Singapore, Singapore
| | - Wenhui Li
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Yunfeng Wang
- Xinbin Manchu Autonomous County People’s Hospital, Fushun, China
| | - Xin Li
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Ying Chen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Quanying Qu
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Ying Wang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Huanjiu Xi
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, 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, China
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Youfeng Wen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
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The construction and application of a new 17-plex Y-STR system using universal fluorescent PCR. Int J Legal Med 2020; 134:2015-2027. [PMID: 32322984 DOI: 10.1007/s00414-020-02291-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 03/30/2020] [Indexed: 01/16/2023]
Abstract
Y-chromosomal short tandem repeat (Y-STR) polymorphisms are useful in forensic identification, population genetics, and human structures. However, the current Y-STR systems are limited in discriminating distant relatives in a family with a low discrimination power. Increasing the capacity of detecting Y chromosomal polymorphisms will drastically narrow down the matching number of genealogy populations or pedigrees. In this study, we developed a system containing 17 Y-STRs that are complementary to the current commercially available Y-STR kits. This system was constructed by multiplex PCR with expected sizes of 126-400 bp labeled by different fluorescence molecules (DYS715, DYS709, DYS716, DYS713, and DYS607 labeled by FAM; DYS718, DYS723, DYS708, and DYS714 labeled by JOE; DYS712, DYS717, DYS721, and DYS605 labeled by TAMRA; and DYS719, DYS726, DYS598, and DYS722 labeled by ROX). The system was extensively tested for sensitivity, male specificity, species specificity, mixture, population genetics, and mutation rates following the Scientific Working Group on DNA Analysis Methods (SWGDAM) guidelines. The genetic data were obtained from eight populations with a total of 1260 individuals. Our results showed that all the 17 Y-STRs are human- and male-specific and include only one copy of the Y-chromosome. The 17 Y-STR system detects 143 alleles and has a high discrimination power (0.996031746). Mutation rates were different among the 17 Y-STRs, ranging from 0.30 to 3.03%. In conclusion, our study provides a robust, sensitive, and cost-effective genotyping method for human identification, which will be beneficial for narrowing the search scope when applied to genealogy searching with the Y-STR DNA databank.
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Xu X, Zheng J, Lou Y, Wei X, Wang B, Yao J. Population genetics of 24 Y-STR loci in Chinese Han population from Jilin Province, Northeast China. Mol Genet Genomic Med 2019; 7:e984. [PMID: 31566932 PMCID: PMC6825842 DOI: 10.1002/mgg3.984] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 08/27/2019] [Accepted: 09/03/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND It is meaningful to expand the available population information on forensic medicine and to investigate the genetic characteristics of Han population from Jilin Province, Northeast China. METHODS In this study, we investigated the genetic characteristics of 24 Y-chromosomal short tandem repeat (STR) loci in 1,088 unrelated Chinese Han male individuals from Jilin Province, using DNATyperTM Y24 amplification kit. Additionally, we performed the population comparison between the Jilin population and the other nine reported populations based on the Y-STR genotyping haplotypes. RESULTS A total of 1,067 different haplotypes were found from 1,088 unrelated individuals, of which 1,046 were unique and 21 were shared by two individuals. The gene diversity values of 22 loci ranged from 0.3870 (DYS391) to 0.9668 (DYS385ab). The random match probability was 0.0010 with the discrimination capacity of 0.9807. Population comparison showed that there were minor differences compared to Beijing Chinese Han, China Manchu, Gansu Chinese Han, and Jiangsu Chinese Han, but major differences with respect to the populations of Guangdong Chinese Han, Yunnan Chinese Han, China Hui, China Korean, and China Tibetan. CONCLUSION Our results showed that the 24 Y-STR loci in Jilin Han population are valuable for forensic application and human genetics.
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Affiliation(s)
- Xiao‐ming Xu
- School of Forensic MedicineChina Medical UniversityShenyangChina
| | - Ji‐long Zheng
- Department of Forensic MedicineCriminal Investigation Police University of ChinaShenyangChina
| | - Yin Lou
- School of Forensic MedicineChina Medical UniversityShenyangChina
| | - Xiao‐han Wei
- School of Forensic MedicineChina Medical UniversityShenyangChina
| | - Bao‐jie Wang
- School of Forensic MedicineChina Medical UniversityShenyangChina
| | - Jun Yao
- School of Forensic MedicineChina Medical UniversityShenyangChina
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