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      Ancient mitochondrial and modern whole genomes unravel massive genetic diversity loss during near extinction of Alpine ibex

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          Abstract

          Population bottlenecks can have dramatic consequences for the health and long‐term survival of a species. Understanding of historic population size and standing genetic variation prior to a contraction allows estimating the impact of a bottleneck on the species' genetic diversity. Although historic population sizes can be modelled based on extant genomics, uncertainty is high for the last 10–20 millenia. Hence, integrating ancient genomes provides a powerful complement to retrace the evolution of genetic diversity through population fluctuations. Here, we recover 15 high‐quality mitogenomes of the once nearly extinct Alpine ibex spanning 8601 BP to 1919 CE and combine these with 60 published modern whole genomes. Coalescent demography simulations based on modern whole genomes indicate population fluctuations coinciding with the last major glaciation period. Using our ancient and historic mitogenomes, we investigate the more recent demographic history of the species and show that mitochondrial haplotype diversity was reduced to a fifth of the prebottleneck diversity with several highly differentiated mitochondrial lineages having coexisted historically. The main collapse of mitochondrial diversity coincides with elevated human population growth during the last 1–2 kya. After recovery, one lineage was spread and nearly fixed across the Alps due to recolonization efforts. Our study highlights that a combined approach integrating genomic data of ancient, historic and extant populations unravels major long‐term population fluctuations from the emergence of a species through its near extinction up to the recent past.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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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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                Author and article information

                Contributors
                christine.grossen@gmail.com
                Journal
                Mol Ecol
                Mol Ecol
                10.1111/(ISSN)1365-294X
                MEC
                Molecular Ecology
                John Wiley and Sons Inc. (Hoboken )
                0962-1083
                1365-294X
                05 June 2022
                July 2022
                : 31
                : 13 ( doiID: 10.1111/mec.v31.13 )
                : 3548-3565
                Affiliations
                [ 1 ] Institute of Evolutionary Biology and Environmental Studies University of Zurich Zürich Switzerland
                [ 2 ] Institute of Evolutionary Medicine University of Zurich Zürich Switzerland
                [ 3 ] Scientific and Technical Services Royal Botanic Garden Edinburgh Edinburgh Scotland
                [ 4 ] Department of Bioinformatics and Genetics Swedish Museum of Natural History Stockholm Sweden
                [ 5 ] Centre for Palaeogenetics Stockholm Sweden
                [ 6 ] Department of Zoology Stockholm University Stockholm Sweden
                Author notes
                [*] [* ] Correspondence

                Christine Grossen, Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zürich, Switzerland.

                Email: christine.grossen@ 123456gmail.com

                Author information
                https://orcid.org/0000-0002-0850-1518
                https://orcid.org/0000-0002-1324-7489
                https://orcid.org/0000-0003-4157-1910
                Article
                MEC16503
                10.1111/mec.16503
                9328357
                35560856
                081ac2ec-916a-4b27-a040-f2d9d827eae1
                © 2022 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 13 April 2022
                : 15 November 2021
                : 04 May 2022
                Page count
                Figures: 4, Tables: 1, Pages: 18, Words: 14861
                Funding
                Funded by: Swiss National Science Foundation , doi 10.13039/501100001711;
                Award ID: 31003A_182343
                Funded by: Svenska Forskningsrådet Formas
                Award ID: 2015‐676
                Award ID: 2018‐01640
                Funded by: University of Zurich (University Research Priority Program)
                Categories
                Original Article
                ORIGINAL ARTICLES
                Population and Conservation Genetics
                Custom metadata
                2.0
                July 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:27.07.2022

                Ecology
                adna,alpine ibex,bottleneck,conservation,demographic history,near extinction
                Ecology
                adna, alpine ibex, bottleneck, conservation, demographic history, near extinction

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