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      A comparison of microsatellites and genome‐wide SNPs for the detection of admixture brings the first molecular evidence for hybridization between Mustela eversmanii and M. putorius (Mustelidae, Carnivora)

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          Abstract

          Introgressive hybridization can pose a serious threat to endangered species which have an overlapping distribution such as in the case of two polecat species, Mustela eversmanii and M. putorius, in Europe. The population size of steppe polecat is known to continuously shrink, whereas its sister species, the European polecat, is still somehow widespread. In this study, we perform an analysis using microsatellite (SSR) and genomic (SNP) data sets to identify natural hybrids between polecats. Four populations were genotyped for eight polymorphic SSR loci, and thousands of unlinked SNPs were generated using a reduced‐representation sequencing approach, RADseq, to characterize the genetic make‐up of allopatric populations and to identify hybrids in the sympatric area. We applied standard population genetic analyses to characterize the populations based on their SSR allelic frequency. Only a single sample out of 48 sympatric samples showed exact intermediacy that we identified as an F1 hybrid. Additionally, one specimen was indicated in the genomic data sets as backcrossed. Other backcrosses, indicated by SSRs, were not validated by SNPs, which highlights the higher efficacy of the genomic method to identify backcrossed individuals. The low frequency of hybridization suggests that the difference in habitat preference of the two species may act as a barrier to admixture. Therefore, it is apparently unlikely that polecat populations are threatened by significant introgression. The two species showed a clear genetic differentiation using both techniques. We found higher genetic diversity values in the sympatric steppe polecat population than in the other studies on polecat populations. Although M. putorius is a hunted species in most countries, genetic diversity values indicate worse conditions in Europe than in the protected sibling species M. eversmanii. Suspending hunting and providing protected status of the former seems to be reasonable and timely.

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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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            fastp: an ultra-fast all-in-one FASTQ preprocessor

            Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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              The variant call format and VCFtools

              Summary: The variant call format (VCF) is a generic format for storing DNA polymorphism data such as SNPs, insertions, deletions and structural variants, together with rich annotations. VCF is usually stored in a compressed manner and can be indexed for fast data retrieval of variants from a range of positions on the reference genome. The format was developed for the 1000 Genomes Project, and has also been adopted by other projects such as UK10K, dbSNP and the NHLBI Exome Project. VCFtools is a software suite that implements various utilities for processing VCF files, including validation, merging, comparing and also provides a general Perl API. Availability: http://vcftools.sourceforge.net Contact: rd@sanger.ac.uk
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                Author and article information

                Contributors
                sramko.gabor@science.unideb.hu
                Journal
                Evol Appl
                Evol Appl
                10.1111/(ISSN)1752-4571
                EVA
                Evolutionary Applications
                John Wiley and Sons Inc. (Hoboken )
                1752-4571
                23 August 2021
                September 2021
                : 14
                : 9 ( doiID: 10.1111/eva.v14.9 )
                : 2286-2304
                Affiliations
                [ 1 ] MTA‐DE “Lendület” Evolutionary Phylogenomics Research Group Debrecen Hungary
                [ 2 ] Department of Botany University of Debrecen Debrecen Hungary
                [ 3 ] Department of Zoology Hungarian Natural History Museum Budapest Hungary
                [ 4 ] Bükk Mammalogical Society Eger Hungary
                [ 5 ] Carnivore Ecology Research Group Szent István University, Kaposvár Campus Kaposvár Hungary
                [ 6 ] Department of Chemistry and Bioscience Aalborg University Aalborg Øst Denmark
                [ 7 ] Aalborg Zoo Aalborg Denmark
                [ 8 ] Zoological Institute Russian Academy of Sciences Saint Petersburg Russia
                [ 9 ] Department of Bioscience ‐ Wildlife Ecology Aarhus University Rønde Denmark
                [ 10 ] Milvus Group Bird and Nature Protection Association Tîrgu Mureș Romania
                Author notes
                [*] [* ] Correspondence

                Gábor Sramkó, Department of Botany, University of Debrecen, Egyetem tér 1, Debrecen H‐4032, Hungary.

                Email: sramko.gabor@ 123456science.unideb.hu

                Author information
                https://orcid.org/0000-0002-4206-3208
                https://orcid.org/0000-0001-8588-6362
                Article
                EVA13291
                10.1111/eva.13291
                8477604
                34603499
                cb23f6e8-1ea4-4de9-96bb-334a7d0df686
                © 2021 The Authors. Evolutionary Applications 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
                : 28 July 2021
                : 06 February 2021
                : 02 August 2021
                Page count
                Figures: 8, Tables: 2, Pages: 19, Words: 14391
                Funding
                Funded by: KEHOP
                Award ID: KEHOP‐4.3.0‐VEKOP‐15‐2016‐00001
                Funded by: LIFE IP
                Award ID: LIFE17IPE/HU/000018
                Funded by: INTERREG ‘Joint Challenge and Joint Cooperation for the Management of Cross‐Border Natural Heritage’
                Award ID: ROHU7
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                September 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.8 mode:remove_FC converted:28.09.2021

                Evolutionary Biology
                admixture,backcrossing,conservation genomics,f1 hybrid,genetic diversity,radseq
                Evolutionary Biology
                admixture, backcrossing, conservation genomics, f1 hybrid, genetic diversity, radseq

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