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      Epigenetic diversity of genes with copy number variations among natural populations of the three‐spined stickleback

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          Abstract

          Duplicated genes provide the opportunity for evolutionary novelty and adaptive divergence. In many cases, having more gene copies increases gene expression, which might facilitate adaptation to stressful or novel environments. Conversely, overexpression or misexpression of duplicated genes can be detrimental and subject to negative selection. In this scenario, newly duplicate genes may evade purifying selection if they are epigenetically silenced, at least temporarily, leading them to persist in populations as copy number variations (CNVs). In animals and plants, younger gene duplicates tend to have higher levels of DNA methylation and lower levels of gene expression, suggesting epigenetic regulation could promote the retention of gene duplications via expression repression or silencing. Here, we test the hypothesis that DNA methylation variation coincides with young duplicate genes that are segregating as CNVs in six populations of the three‐spined stickleback that span a salinity gradient from 4 to 30 PSU. Using reduced‐representation bisulfite sequencing, we found DNA methylation and CNV differentiation outliers rarely overlapped. Whereas lineage‐specific genes and young duplicates were found to be highly methylated, just two gene CNVs showed a significant association between promoter methylation level and copy number, suggesting that DNA methylation might not interact with CNVs in our dataset. If most new duplications are regulated for dosage by epigenetic mechanisms, our results do not support a strong contribution from DNA methylation soon after duplication. Instead, our results are consistent with a preference to duplicate genes that are already highly methylated.

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          Most cited references65

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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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            Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications

            Summary: A combination of bisulfite treatment of DNA and high-throughput sequencing (BS-Seq) can capture a snapshot of a cell's epigenomic state by revealing its genome-wide cytosine methylation at single base resolution. Bismark is a flexible tool for the time-efficient analysis of BS-Seq data which performs both read mapping and methylation calling in a single convenient step. Its output discriminates between cytosines in CpG, CHG and CHH context and enables bench scientists to visualize and interpret their methylation data soon after the sequencing run is completed. Availability and implementation: Bismark is released under the GNU GPLv3+ licence. The source code is freely available from www.bioinformatics.bbsrc.ac.uk/projects/bismark/. Contact: felix.krueger@bbsrc.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
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              Software for Computing and Annotating Genomic Ranges

              We describe Bioconductor infrastructure for representing and computing on annotated genomic ranges and integrating genomic data with the statistical computing features of R and its extensions. At the core of the infrastructure are three packages: IRanges, GenomicRanges, and GenomicFeatures. These packages provide scalable data structures for representing annotated ranges on the genome, with special support for transcript structures, read alignments and coverage vectors. Computational facilities include efficient algorithms for overlap and nearest neighbor detection, coverage calculation and other range operations. This infrastructure directly supports more than 80 other Bioconductor packages, including those for sequence analysis, differential expression analysis and visualization.
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                Author and article information

                Contributors
                frederic_chain@uml.edu
                britta.meyer-1@uni-hamburg.de
                Journal
                Evol Appl
                Evol Appl
                10.1111/(ISSN)1752-4571
                EVA
                Evolutionary Applications
                John Wiley and Sons Inc. (Hoboken )
                1752-4571
                14 July 2024
                July 2024
                : 17
                : 7 ( doiID: 10.1111/eva.v17.7 )
                : e13753
                Affiliations
                [ 1 ] Department of Biological Sciences University of Massachusetts Lowell Lowell Massachusetts USA
                [ 2 ] Marine Evolutionary Ecology GEOMAR Helmholtz Centre for Ocean Research Kiel Kiel Germany
                [ 3 ] Institute of Clinical Molecular Biology, Kiel University Kiel Germany
                [ 4 ] School of Biological and Behavioural Sciences Queen Mary University of London London UK
                [ 5 ]Present address: Research Unit for Evolutionary Immunogenomics, Department of Biology University of Hamburg Hamburg Germany
                [ 6 ]Present address: Fish Ecology and Evolution, Leibniz Centre for Tropical Marine Research Bremen Germany
                Author notes
                [*] [* ] Correspondence

                Frédéric J. J. Chain, Department of Biological Sciences, University of Massachusetts Lowell, Lowell, MA, USA.

                Email: frederic_chain@ 123456uml.edu

                Britta S. Meyer, Marine Evolutionary Ecology, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany.

                Email: britta.meyer-1@ 123456uni-hamburg.de

                Author information
                https://orcid.org/0000-0001-6169-7399
                https://orcid.org/0000-0002-2549-1825
                https://orcid.org/0000-0002-7507-8895
                https://orcid.org/0000-0001-6374-4910
                https://orcid.org/0000-0002-8673-7649
                https://orcid.org/0000-0002-8961-4337
                Article
                EVA13753 EVA-2024-100-OA.R1
                10.1111/eva.13753
                11246597
                39006007
                b178737d-8f15-449c-a27e-cff8fed4ad50
                © 2024 The Author(s). 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
                : 11 June 2024
                : 10 November 2023
                : 23 June 2024
                Page count
                Figures: 7, Tables: 1, Pages: 15, Words: 9700
                Funding
                Funded by: Federal Ministry of Education and Research in Germany
                Award ID: 03F0680A
                Funded by: Exzellenzcluster Ozean der Zukunft , doi 10.13039/501100010783;
                Award ID: EXC 80
                Funded by: BONUS
                Award ID: 2012‐76
                Funded by: Division of Molecular and Cellular Biosciences , doi 10.13039/100000152;
                Award ID: 2144259
                Categories
                Original Article
                Original Article
                Custom metadata
                2.0
                July 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.5 mode:remove_FC converted:14.07.2024

                Evolutionary Biology
                adaptive differentiation,copy number variations (cnvs),dna methylation,epigenetic regulation,gene duplication,stickleback

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