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      Demographic history and genetic diversity of wild African harlequin quail ( Coturnix delegorguei delegorguei) populations of Kenya

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          Abstract

          Hunting wild African harlequin quails ( Coturnix delegorguei delegorguei) using traditional methods in Western Kenya has been ongoing for generations, yet their genetic diversity and evolutionary history are largely unknown. In this study, the genetic variation and demographic history of wild African harlequin quails were assessed using a 347bp mitochondrial DNA (mtDNA) control region fragment and 119,339 single nucleotide polymorphisms (SNPs) from genotyping‐by‐sequencing (GBS) data. Genetic diversity analyses revealed that the genetic variation in wild African harlequin quails was predominantly among individuals than populations. Demographic analyses indicated a signal of rapid demographic expansion, and the estimated time since population expansion was found to be 150,000–350,000 years ago, corresponding to around the Pliocene–Pleistocene boundary. A gradual decline in their effective population size was also observed, which raised concerns about their conservation status. These results provide the first account of the genetic diversity of wild African harlequin quails of Siaya, thereby creating a helpful foundation in their biodiversity conservation.

          Abstract

          This study looks into the genetic diversity and demographic history of wild African harlequin quails using mtDNA and genotyping by sequencing data. The results of this work will provide a foundation useful in its protection and biodiversity conservation.

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Fast and accurate short read alignment with Burrows–Wheeler transform

            Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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              MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

              The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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                Author and article information

                Contributors
                pengminsheng@mail.kiz.ac.cn
                sommeh@jkuat.ac.ke
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                13 December 2021
                December 2021
                : 11
                : 24 ( doiID: 10.1002/ece3.v11.24 )
                : 18562-18574
                Affiliations
                [ 1 ] Institute For Biotechnology Research Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya
                [ 2 ] State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals Kunming Institute of Zoology Chinese Academy of Sciences Kunming China
                [ 3 ] Sino‐Africa Joint Research Center Chinese Academy of Sciences Nairobi Kenya
                [ 4 ] Department of Zoology National Museums of Kenya Nairobi Kenya
                [ 5 ] Department of Veterinary Services Kenya Wildlife Service Nairobi Kenya
                [ 6 ] Central Veterinary Laboratories Kabete State Department of Livestock Ministry of Agriculture, Livestock and Fisheries Nairobi Kenya
                Author notes
                [*] [* ] Correspondence

                Min‐Sheng Peng, State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.

                Email: pengminsheng@ 123456mail.kiz.ac.cn

                Sheila Ommeh, Institute For Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, P.O Box 62000, City Square 00200, Nairobi, Kenya.

                Email: sommeh@ 123456jkuat.ac.ke

                Author information
                https://orcid.org/0000-0002-0780-0399
                Article
                ECE38458
                10.1002/ece3.8458
                8717324
                0500f25a-306f-4699-8e7c-4d956cc7d258
                © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                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
                : 24 November 2021
                : 11 August 2021
                : 30 November 2021
                Page count
                Figures: 8, Tables: 0, Pages: 13, Words: 7649
                Funding
                Funded by: Jomo Kenyatta University of Agriculture and Technology
                Award ID: JKU/2/4/RP/181
                Funded by: International Foundation for Science
                Award ID: B/5364‐1
                Funded by: Sino‐Africa Joint Research Center, Chinese Academy of Sciences
                Award ID: SAJC201611
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                December 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.7.0 mode:remove_FC converted:30.12.2021

                Evolutionary Biology
                admixture,demographic inference,genetic differentiation,genotyping‐by‐sequencing,mtdna

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