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      Comprehensive analyses of genetic diversities and population structure of the Guizhou Dong group based on 44 Y-markers

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          Abstract

          Background

          The non-recombining region of the human Y chromosome (NRY) is a strictly paternally inherited genetic marker and the best material to trace the paternal lineages of populations. Y chromosomal short tandem repeat (Y-STR) is characterized by high polymorphism and paternal inheritance pattern, so it has been widely used in forensic medicine and population genetic research. This study aims to understand the genetic distribution of Y-STRs in the Guizhou Dong population, provide reference data for forensic application, and explore the phylogenetic relationships between the Guizhou Dong population and other comparison populations.

          Methods

          Based on the allele profile of 44 Y-markers in the Guizhou Dong group, we estimate their allele frequencies and haplotype frequencies. In addition, we also compare the forensic application efficiency of different Y-STR sets in the Guizhou Dong group. Finally, genetic relationships among Guizhou Dong and other reference populations are dissected by the multi-dimensional scaling and the phylogenetic tree.

          Results

          A total of 393 alleles are observed in 312 Guizhou Dong individuals for these Y-markers, with allele frequencies ranging from 0.0032 to 0.9679. The haplotype diversity and discriminatory capacity for these Y-markers in the Guizhou Dong population are 0.99984 and 0.97440, respectively. The population genetic analyses of the Guizhou Dong group and other reference populations show that the Guizhou Dong group has the closest genetic relationship with the Hunan Dong population, and followed by the Guizhou Tujia population.

          Conclusions

          In conclusion, these 44 Y-markers can be used as an effective tool for male differentiation in the Guizhou Dong group. The haplotype data in this study not only enrich the Y-STR data of different ethnic groups in China, but also have important significance for population genetics and forensic research.

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          Most cited references39

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          MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

          We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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            Analysis of Gene Diversity in Subdivided Populations

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              The human Y chromosome: an evolutionary marker comes of age.

              Until recently, the Y chromosome seemed to fulfil the role of juvenile delinquent among human chromosomes--rich in junk, poor in useful attributes, reluctant to socialize with its neighbours and with an inescapable tendency to degenerate. The availability of the near-complete chromosome sequence, plus many new polymorphisms, a highly resolved phylogeny and insights into its mutation processes, now provide new avenues for investigating human evolution. Y-chromosome research is growing up.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                25 September 2023
                2023
                : 11
                : e16183
                Affiliations
                Department of Forensic Medicine, Guizhou Medical University , Guiyang, Guizhou, China
                Article
                16183
                10.7717/peerj.16183
                10538297
                37780380
                a98382a1-eddd-44f4-bd9b-1b6fe4b5011f
                © 2023 Zhang et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 24 May 2023
                : 5 September 2023
                Funding
                Funded by: Guizhou Province Education Department, Characteristic Region Project, Qian Education
                Award ID: (2021) 065
                Funded by: Guizhou Innovation training program
                Award ID: (202110660018)
                Funded by: Guizhou Provincial Science and Technology
                Award ID: (ZK(2022) General 355)
                Funded by: Guizhou Education Department Young Scientific and Technical
                Award ID: (2022) 215
                Funded by: Guizhou Scientific
                Award ID: (2021) General 448
                Funded by: Qian Science Platform Talents
                Award ID: (2020) 6012
                Funded by: Qian Science Support
                Award ID: (2019) 2825
                Funded by: National Natural Science Foundation
                Award ID: (No. 82160324)
                Funded by: Guizhou Science Project, Qian Science Foundation
                Award ID: (2020) 1Y353
                This study was supported by the Guizhou Province Education Department, Characteristic Region Project, Qian Education KY No. (2021) 065; the Guizhou Innovation training program for college students (202110660018); the Guizhou Provincial Science and Technology Projects (ZK[2022) General 355 the Guizhou Education Department Young Scientific and Technical Talents Project, Qian Education KY NO. (2022) 215; the Guizhou Scientific Support Project, Qian Science Support (2021) General 448; the Guizhou “Hundred” High-level Innovative Talent Project, Qian Science Platform Talents (2020) 6012; the Guizhou Scientific Support Project, Qian Science Support (2019) 2825; the National Natural Science Foundation (No. 82160324); and the Guizhou Science Project, Qian Science Foundation (2020) 1Y353. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Anthropology
                Genetics
                Medical Genetics

                guizhou dong,forensic features,population genetics,str,y-chromosome

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