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      A key antisense sRNA modulates the oxidative stress response and virulence in Xanthomonas oryzae pv. oryzicola

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          Abstract

          Pathogens integrate multiple environmental signals to navigate the host and control the expression of virulence genes. In this process, small regulatory noncoding RNAs (sRNAs) may function in gene expression as post-transcriptional regulators. In this study, the sRNA Xonc3711 functioned in the response of the rice pathogen, Xanthomonas oryzae pv. oryzicola ( Xoc), to oxidative stress. Xonc3711 repressed production of the DNA-binding protein Xoc_3982 by binding to the xoc_3982 mRNA within the coding region. Mutational analysis showed that regulation required an antisense interaction between Xonc3711 and xoc_3982 mRNA, and RNase E was needed for degradation of the xoc_3982 transcript. Deletion of Xonc3711 resulted in a lower tolerance to oxidative stress due to the repression of flagella-associated genes and reduced biofilm formation. Furthermore, ChIP-seq and electrophoretic mobility shift assays showed that Xoc_3982 repressed the transcription of effector xopC2, which contributes to virulence in Xoc BLS256. This study describes how sRNA Xonc3711 modulates multiple traits in Xoc via signals perceived from the external environment.

          Author summary

          Small, stable RNA species perform diverse functions in both prokaryotes and eukaryotes. In this study, the sRNA Xonc3711 decreased the production of DNA-binding protein Xoc_3982 in the bacterium Xanthomonas oryzae pv. oryzicola ( Xoc) by base pairing with the xoc_3982 transcript. When Xonc3711 was mutated, Xoc was impaired in its ability to form flagella and produce biofilms, which reduced Xoc tolerance to oxidative stress. We also discovered that the DNA-binding protein Xoc_3982 represses the expression of xopC2, which encodes an effector protein, and reduces its expression. Our results show that Xonc3711 modulates and integrates multiple systems in Xoc to protect cells from oxidative damage.

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          Most cited references61

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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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              Fast and accurate short read alignment with Burrows–Wheeler transform

              Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: Writing – original draft
                Role: Data curationRole: InvestigationRole: Methodology
                Role: ResourcesRole: Validation
                Role: Writing – review & editing
                Role: Methodology
                Role: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Supervision
                Role: Funding acquisitionRole: Project administration
                Role: Editor
                Journal
                PLoS Pathog
                PLoS Pathog
                plos
                PLoS Pathogens
                Public Library of Science (San Francisco, CA USA )
                1553-7366
                1553-7374
                23 July 2021
                July 2021
                : 17
                : 7
                : e1009762
                Affiliations
                [1 ] Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Ministry of Science and Technology, Ministry of Education, Shanghai Urban Forest Ecosystem Research Station, National Forestry and Grassland Administration, Shanghai Cooperative Innovation Center for Modern Seed Industry, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
                [2 ] Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, Pakistan
                University of Florida Institute of Food and Agricultural Sciences, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-9202-627X
                https://orcid.org/0000-0001-7796-9168
                https://orcid.org/0000-0001-8811-1247
                https://orcid.org/0000-0002-5740-2663
                https://orcid.org/0000-0003-1979-2880
                Article
                PPATHOGENS-D-21-00263
                10.1371/journal.ppat.1009762
                8336823
                34297775
                1614a2b0-76c1-4b43-acac-01083ff0bf47
                © 2021 Wu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 February 2021
                : 27 June 2021
                Page count
                Figures: 9, Tables: 0, Pages: 19
                Funding
                Funded by: National Key R&D Program of China
                Award ID: 2017YFD0201108
                Award Recipient :
                Funded by: National Key R&D Program of China
                Award ID: 2018YFD0201202
                Award Recipient :
                Funded by: Agri-X Interdisciplinary Fund of Shanghai Jiao Tong University
                Award ID: Agri-X2017010
                Award Recipient :
                Funded by: Shanghai Committee of Science and Technology
                Award ID: 19390743300
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31200003
                Award Recipient :
                This work was funded by grants from National Key R&D Program of China (2017YFD0201108, 2018YFD0201202), the Agri-X Interdisciplinary Fund of Shanghai Jiao Tong University (Agri-X2017010), the Shanghai Committee of Science and Technology (19390743300) and the National Natural Science Foundation of China (31200003) to BZ. The funders had role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Cell Biology
                Oxidative Stress
                Biology and Life Sciences
                Cell Biology
                Cellular Structures and Organelles
                Flagella
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Virulence Factors
                Pathogen Motility
                Flagella
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Messenger RNA
                Biology and Life Sciences
                Microbiology
                Bacteriology
                Bacterial Biofilms
                Biology and Life Sciences
                Microbiology
                Biofilms
                Bacterial Biofilms
                Biology and Life Sciences
                Genetics
                Gene Expression
                Biology and life sciences
                Biochemistry
                Proteins
                DNA-binding proteins
                Biology and life sciences
                Biochemistry
                Proteins
                DNA-binding proteins
                Nucleases
                Ribonucleases
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzymes
                Hydrolases
                Nucleases
                Ribonucleases
                Biology and Life Sciences
                Biochemistry
                Proteins
                Enzymes
                Hydrolases
                Nucleases
                Ribonucleases
                Biology and Life Sciences
                Plant Science
                Plant Pathology
                Plant Pathogens
                Plant Bacterial Pathogens
                Custom metadata
                vor-update-to-uncorrected-proof
                2021-08-04
                Data in this paper are deposited in NCBI under BioProject number PRJNA350867.

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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