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      Genetic diversity, forensic feature, and phylogenetic analysis of Guizhou Tujia population via 19 X‐STRs

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          Abstract

          Background

          X‐chromosome short tandem repeats (X‐STRs) with unique sex‐linkage inheritance models play a complementary role in forensic science. Guizhou is a multiethnic province located in southwest China and some genetic evidence focusing on X‐STRs for various minorities was reported. However, population data of Guizhou Tujia are scarce.

          Methods

          A total of 507 Guizhou Tujia individuals were profiled using the AGCU X‐19 STR kit. Allele frequencies and forensic parameters were calculated. Additionally, population genetic relationships between Guizhou Tujia and other 19 populations were explored.

          Results

          A total of 257 alleles with the allele frequencies ranged from 0.0013 to 0.6098 were found. The combined power of discrimination in males and females and mean exclusion chances in all case scenarios were all greater than 0.99999. Population comparisons showed Guizhou Tujia had a homogeneity with all Han populations from different administrative regions, and other ethnic populations residing in Guizhou, while had obviously genetic heterogeneity with the Altaic family populations except Xibe.

          Conclusion

          Nineteen X‐STRs can afford a reliable and informative database of Guizhou Tujia population for human identification and paternity testing, especially in complex biological relations. The genetic relationships of Chinese are significantly influenced by the geographic position and ethnolinguistic origin.

          Abstract

          19 X‐STRs can afford a reliable and informative database of Guizhou Tujia population for human identification and paternity testing, especially in complex biological relations. The genetic relationships of Chinese populations are significantly influenced by the geographic position and ethnolinguistic origin.

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          Most cited references51

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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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            Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.

            We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (Winarl35), a console version of Arlequin (arlecore), and a specific console version to compute summary statistics (arlsumstat). The command-line versions run under both Linux and Windows. The main innovations of the new version include enhanced outputs in XML format, the possibility to embed graphics displaying computation results directly into output files, and the implementation of a new method to detect loci under selection from genome scans. Command-line versions are designed to handle large series of files, and arlsumstat can be used to generate summary statistics from simulated data sets within an Approximate Bayesian Computation framework. © 2010 Blackwell Publishing Ltd.
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              A simple salting out procedure for extracting DNA from human nucleated cells

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                Author and article information

                Contributors
                ylm720@sina.com
                pychenfs@163.com
                Journal
                Mol Genet Genomic Med
                Mol Genet Genomic Med
                10.1002/(ISSN)2324-9269
                MGG3
                Molecular Genetics & Genomic Medicine
                John Wiley and Sons Inc. (Hoboken )
                2324-9269
                02 September 2020
                November 2020
                : 8
                : 11 ( doiID: 10.1002/mgg3.v8.11 )
                : e1473
                Affiliations
                [ 1 ] Key Laboratory of Cell Engineering in Guizhou Province Affiliated Hospital of Zunyi Medical University Zunyi China
                [ 2 ] Center of Forensic Expertise Affiliated Hospital of Zunyi Medical University Zunyi Guizhou China
                [ 3 ] Shanghai Key Laboratory of Forensic Medicine Shanghai Forensic Service Platform Academy of Forensic Science Shanghai China
                [ 4 ] Department of Forensic Biology Evidence Zunyi City Public Security Bureau Zunyi Guizhou China
                [ 5 ] Department of Pathology and Pathophysiology Chengdu Medical College Chengdu China
                Author notes
                [*] [* ] Correspondence

                Limei Yu, Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, 563099 Guizhou, PR China.

                Email: ylm720@ 123456sina.com

                Pengyu Chen, Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, 563099 Guizhou, PR China.

                Email: pychenfs@ 123456163.com

                Author information
                https://orcid.org/0000-0002-3706-103X
                Article
                MGG31473
                10.1002/mgg3.1473
                7667307
                32881358
                a4d25408-b68c-4bfc-a5c7-67d3c84d0762
                © 2020 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 April 2020
                : 21 July 2020
                : 04 August 2020
                Page count
                Figures: 3, Tables: 0, Pages: 10, Words: 6700
                Funding
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 81401562
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                November 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.4 mode:remove_FC converted:16.11.2020

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