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      Multiple waves of freshwater colonization of the three-spined stickleback in the Japanese Archipelago

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          Abstract

          Background

          The three-spined stickleback ( Gasterosteus aculeatus) is a remarkable system to study the genetic mechanisms underlying parallel evolution during the transition from marine to freshwater habitats. Although the majority of previous studies on the parallel evolution of sticklebacks have mainly focused on postglacial freshwater populations in the Pacific Northwest of North America and northern Europe, we recently use Japanese stickleback populations for investigating shared and unique features of adaptation and speciation between geographically distant populations. However, we currently lack a comprehensive phylogeny of the Japanese three-spined sticklebacks, despite the fact that a good phylogeny is essential for any evolutionary and ecological studies. Here, we conducted a phylogenomic analysis of the three-spined stickleback in the Japanese Archipelago.

          Results

          We found that freshwater colonization occurred in multiple waves, each of which may reflect different interglacial isolations. Some of the oldest freshwater populations from the central regions of the mainland of Japan (hariyo populations) were estimated to colonize freshwater approximately 170,000 years ago. The next wave of colonization likely occurred approximately 100,000 years ago. The inferred origins of several human-introduced populations showed that introduction occurred mainly from nearby habitats. We also found a new habitat of the three-spined stickleback sympatric with the Japan Sea stickleback ( Gasterosteus nipponicus).

          Conclusions

          These Japanese stickleback systems differ from those in the Pacific Northwest of North America and northern Europe in terms of divergence time and history. Stickleback populations in the Japanese Archipelago offer valuable opportunities to study diverse evolutionary processes in historical and contemporary timescales.

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          Most cited references98

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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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            BEDTools: a flexible suite of utilities for comparing genomic features

            Motivation: Testing for correlations between different sets of genomic features is a fundamental task in genomics research. However, searching for overlaps between features with existing web-based methods is complicated by the massive datasets that are routinely produced with current sequencing technologies. Fast and flexible tools are therefore required to ask complex questions of these data in an efficient manner. Results: This article introduces a new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets. Availability and implementation: BEDTools was written in C++. Source code and a comprehensive user manual are freely available at http://code.google.com/p/bedtools Contact: aaronquinlan@gmail.com; imh4y@virginia.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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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
                jkitano@nig.ac.jp
                Journal
                BMC Evol Biol
                BMC Evol Biol
                BMC Evolutionary Biology
                BioMed Central (London )
                1471-2148
                3 November 2020
                3 November 2020
                2020
                : 20
                : 143
                Affiliations
                [1 ]GRID grid.288127.6, ISNI 0000 0004 0466 9350, Ecological Genetics Laboratory, , National Institute of Genetics, ; Mishima, Shizuoka 411-8540 Japan
                [2 ]GRID grid.267625.2, ISNI 0000 0001 0685 5104, Present Address: Tropical Biosphere Research Center, , University of the Ryukyus, ; Nishihara, Nakagami-gun, Okinawa, 903-0213 Japan
                [3 ]GRID grid.440873.c, ISNI 0000 0001 0728 9757, Biological Laboratory, , Gifu Kyoritsu University, ; Ogaki, Gifu 503-8550 Japan
                [4 ]GRID grid.411756.0, Department of Marine Bioscience, , Fukui Prefectural University, ; Obama, Fukui 917-0003 Japan
                [5 ]GRID grid.275033.0, ISNI 0000 0004 1763 208X, Department of Genetics, , The Graduate University for Advanced Studies, ; Mishima, Shizuoka 411-8540 Japan
                [6 ]GRID grid.440926.d, ISNI 0000 0001 0744 5780, Faculty of Agriculture, , Ryukoku University, ; Otsu, Shiga 520-2194 Japan
                [7 ]GRID grid.258799.8, ISNI 0000 0004 0372 2033, Field Science Education and Research Center, , Kyoto University, ; Kyoto, 606-8502 Japan
                [8 ]GRID grid.288127.6, ISNI 0000 0004 0466 9350, Comparative Genomics Laboratory, , National Institute of Genetics, ; Mishima, Shizuoka 411-8540 Japan
                Author information
                http://orcid.org/0000-0001-8659-5698
                Article
                1713
                10.1186/s12862-020-01713-5
                7641863
                33143638
                7f89b47c-eba0-42f5-a915-5e9dcbb0a6b0
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 19 August 2020
                : 27 October 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001691, Japan Society for the Promotion of Science;
                Award ID: 17KT0028
                Award ID: 19H01003
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001700, Ministry of Education, Culture, Sports, Science and Technology;
                Award ID: 16H06279
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Evolutionary Biology
                restriction-site associated dna sequencing,convergent evolution,glacial relic,interglacial refugia,non-native population,hybridization,speciation

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