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      Characterization of a DCL2-Insensitive Tomato Bushy Stunt Virus Isolate Infecting Arabidopsis thaliana

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          Abstract

          Tomato bushy stunt virus (TBSV), the type member of the genus Tombusvirus in the family Tombusviridae is one of the best studied plant viruses. The TBSV natural and experimental host range covers a wide spectrum of plants including agricultural crops, ornamentals, vegetables and Nicotiana benthamiana. However, Arabidopsis thaliana, the well-established model organism in plant biology, genetics and plant–microbe interactions is absent from the list of known TBSV host plant species. Most of our recent knowledge of the virus life cycle has emanated from studies in Saccharomyces cerevisiae, a surrogate host for TBSV that lacks crucial plant antiviral mechanisms such as RNA interference (RNAi). Here, we identified and characterized a TBSV isolate able to infect Arabidopsis with high efficiency. We demonstrated by confocal and 3D electron microscopy that in Arabidopsis TBSV-BS3Ng replicates in association with clustered peroxisomes in which numerous spherules are induced. A dsRNA-centered immunoprecipitation analysis allowed the identification of TBSV-associated host components including DRB2 and DRB4, which perfectly localized to replication sites, and NFD2 that accumulated in larger viral factories in which peroxisomes cluster. By challenging knock-out mutants for key RNAi factors, we showed that TBSV-BS3Ng undergoes a non-canonical RNAi defensive reaction. In fact, unlike other RNA viruses described, no 22nt TBSV-derived small RNA are detected in the absence of DCL4, indicating that this virus is DCL2-insensitive. The new Arabidopsis-TBSV-BS3Ng pathosystem should provide a valuable new model for dissecting plant–virus interactions in complement to Saccharomyces cerevisiae.

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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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            edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

            Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data. Availability: The package is freely available under the LGPL licence from the Bioconductor web site (http://bioconductor.org). Contact: mrobinson@wehi.edu.au
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              MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

              We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.

                Author and article information

                Journal
                Viruses
                Viruses
                viruses
                Viruses
                MDPI
                1999-4915
                02 October 2020
                October 2020
                : 12
                : 10
                : 1121
                Affiliations
                [1 ]Institut de Biologie de Moléculaire des Plantes, CNRS, Université de Strasbourg, 67000 Strasbourg, France; helene.scheer@ 123456ibmp-cnrs.unistra.fr (H.S.); mathieu.erhardt@ 123456ibmp-cnrs.unistra.fr (M.E.); patdunoyer@ 123456gmail.com (P.D.)
                [2 ]IFV, Le Grau-Du-Roi, Université de Strasbourg, INRAE, SVQV UNR-A 1131, 68000 Colmar, France; jean-michel.hily@ 123456vignevin.com
                [3 ]Plateforme protéomique Strasbourg Esplanade FR1589 du CNRS, Université de Strasbourg, 67000 Strasbourg, France; l.kuhn@ 123456ibmc-cnrs.unistra.fr
                [4 ]Bioreba AG, Christoph Merian Ring 7, CH-4153 Reinach, Switzerland; altenbach@ 123456bioreba.ch
                Author notes
                [†]

                Current address: Gregor Mendel Institute of Molecular Plant Biology (GMI), 1030 Vienna, Austria.

                Author information
                https://orcid.org/0000-0002-0677-8505
                https://orcid.org/0000-0001-9141-9701
                Article
                viruses-12-01121
                10.3390/v12101121
                7650723
                33023227
                7bec8a40-06ab-4dc8-8146-4fabc21287f5
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 06 August 2020
                : 30 September 2020
                Categories
                Article

                Microbiology & Virology
                tomato bushy stunt virus,arabidopsis
                Microbiology & Virology
                tomato bushy stunt virus, arabidopsis

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