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      Arms race between anti‐silencing and RdDM in noncoding regions of transposable elements

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          Abstract

          Transposable elements (TEs) are among the most dynamic parts of genomes. Since TEs are potentially deleterious, eukaryotes silence them through epigenetic mechanisms such as repressive histone modifications and DNA methylation. We previously reported that Arabidopsis TEs, called VANDALs, counteract epigenetic silencing through a group of sequence‐specific anti‐silencing proteins, VANCs. VANC proteins bind to noncoding regions of specific VANDAL copies and induce loss of silent chromatin marks. The VANC‐target regions form tandem repeats, which diverge rapidly. Sequence‐specific anti‐silencing allows these TEs to proliferate with minimum host damage. Here, we show that RNA‐directed DNA methylation (RdDM) efficiently targets noncoding regions of VANDAL TEs to silence them de novo. Thus, escape from RdDM could be a primary event leading to the rapid evolution and diversification of sequence‐specific anti‐silencing systems. We propose that this selfish behavior of TEs paradoxically could make them diverse and less harmful to the host.

          Abstract

          Analyses of VANC anti‐silencing systems of VANDAL transposable elements in Arabidopsis reveal that VANC and RdDM compete with each other. Escaping from RdDM could be a selective force inducing the diversification of the anti‐silencing systems.

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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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              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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                Author and article information

                Contributors
                taku.sasaki@bs.s.u-tokyo.ac.jp
                tkak@bs.s.u-tokyo.ac.jp
                Journal
                EMBO Rep
                EMBO Rep
                10.1002/(ISSN)1469-3178
                EMBR
                embor
                EMBO Reports
                John Wiley and Sons Inc. (Hoboken )
                1469-221X
                1469-3178
                05 June 2023
                August 2023
                05 June 2023
                : 24
                : 8 ( doiID: 10.1002/embr.v24.8 )
                : e56678
                Affiliations
                [ 1 ] The University of Tokyo Tokyo Japan
                [ 2 ] National Institute of Genetics Mishima Japan
                [ 3 ] The Graduate University for Advanced Studies (SOKENDAI) Mishima Japan
                [ 4 ]Present address: Nihon BioData Corporation Kawasaki Japan
                [ 5 ]Present address: Kihara Institute for Biological Research Yokohama City University Yokohama Japan
                Author notes
                [*] [* ] Corresponding author. Tel: +81 3 5841 4456; E‐mail: taku.sasaki@ 123456bs.s.u-tokyo.ac.jp ;

                Corresponding author. Tel: +81 3 5841 4454; E‐mail: tkak@ 123456bs.s.u-tokyo.ac.jp

                Author information
                https://orcid.org/0000-0002-3729-399X
                https://orcid.org/0000-0003-0494-3359
                https://orcid.org/0000-0002-0728-7548
                https://orcid.org/0000-0002-6137-4474
                Article
                EMBR202256678
                10.15252/embr.202256678
                10398659
                37272687
                f6f6a0b3-8bcc-4815-b6e5-cfc53dfbcace
                © 2023 The Authors. Published under the terms of the CC BY 4.0 license

                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
                : 12 May 2023
                : 17 December 2022
                : 19 May 2023
                Page count
                Figures: 9, Tables: 0, Pages: 13, Words: 9815
                Funding
                Funded by: Human Frontier Science Program (HFSP) , doi 10.13039/501100000854;
                Award ID: RGP0025/2021
                Funded by: MEXT | Japan Society for the Promotion of Science (JSPS) , doi 10.13039/501100001691;
                Award ID: 19H00995
                Award ID: 21H04977
                Award ID: JP18K06348
                Funded by: MEXT | JST | Core Research for Evolutional Science and Technology (CREST) , doi 10.13039/501100003382;
                Award ID: JPMJCR15O1
                Funded by: National Institute of Genetics (NIG) , doi 10.13039/501100010462;
                Award ID: 32A2018
                Award ID: 73A2019
                Categories
                Article
                Articles
                Custom metadata
                2.0
                03 August 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.2 mode:remove_FC converted:03.08.2023

                Molecular biology
                anti‐silencing,dna methylation,rddm,transposable elements,chromatin, transcription & genomics,plant biology

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