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      N 6-methyladenosine modification is not a general trait of viral RNA genomes

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          Abstract

          Despite the nuclear localization of the m 6A machinery, the genomes of multiple exclusively-cytoplasmic RNA viruses, such as chikungunya (CHIKV) and dengue (DENV), are reported to be extensively m 6A-modified. However, these findings are mostly based on m 6A-Seq, an antibody-dependent technique with a high rate of false positives. Here, we address the presence of m 6A in CHIKV and DENV RNAs. For this, we combine m 6A-Seq and the antibody-independent SELECT and nanopore direct RNA sequencing techniques with functional, molecular, and mutagenesis studies. Following this comprehensive analysis, we find no evidence of m 6A modification in CHIKV or DENV transcripts. Furthermore, depletion of key components of the host m 6A machinery does not affect CHIKV or DENV infection. Moreover, CHIKV or DENV infection has no effect on the m 6A machinery’s localization. Our results challenge the prevailing notion that m 6A modification is a general feature of cytoplasmic RNA viruses and underscore the importance of validating RNA modifications with orthogonal approaches.

          Abstract

          A comprehensive analysis found no evidence of m6A modifications in the genome of the cytoplasmic RNA viruses CHIKV and DENV, challenging the current notion that m6A modification is a general feature of cytoplasmic RNA viruses.

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          Most cited references77

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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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            Fiji: an open-source platform for biological-image analysis.

            Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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              STAR: ultrafast universal RNA-seq aligner.

              Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
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                Author and article information

                Contributors
                stuart.wilson@sheffield.ac.uk
                eva.novoa@crg.eu
                juana.diez@upf.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                11 March 2024
                11 March 2024
                2024
                : 15
                : 1964
                Affiliations
                [1 ]Molecular Virology Group, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, ( https://ror.org/04n0g0b29) Dr. Aiguader 88, 08003 Barcelona, Spain
                [2 ]Sheffield Institute for Nucleic Acids (SInFoNiA) and School of Biosciences, The University of Sheffield, Firth Court, Western Bank, ( https://ror.org/05krs5044) Sheffield, S10 2TN UK
                [3 ]Department of Molecular and Cellular Biology, Baylor College of Medicine, ( https://ror.org/02pttbw34) Houston, TX 77030 USA
                [4 ]GRID grid.473715.3, ISNI 0000 0004 6475 7299, Center for Genomic Regulation (CRG), , The Barcelona Institute of Science and Technology, ; Dr. Aiguader 88, 08003 Barcelona, Spain
                [5 ]Universitat Pompeu Fabra (UPF), ( https://ror.org/04n0g0b29) 08003 Barcelona, Spain
                Author information
                http://orcid.org/0000-0002-0956-7164
                http://orcid.org/0000-0001-8486-7362
                http://orcid.org/0000-0002-3836-0293
                http://orcid.org/0000-0002-5038-0190
                http://orcid.org/0000-0002-8663-4586
                http://orcid.org/0000-0003-3073-258X
                http://orcid.org/0000-0002-9367-6311
                http://orcid.org/0000-0002-9013-0751
                Article
                46278
                10.1038/s41467-024-46278-9
                10928186
                19c0b5fe-0d43-4078-bc0b-346752dd3b47
                © The Author(s) 2024

                Open Access This 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/.

                History
                : 27 September 2023
                : 16 February 2024
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                © Springer Nature Limited 2024

                Uncategorized
                microbiology,virology,alphaviruses
                Uncategorized
                microbiology, virology, alphaviruses

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