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      Pathogenomic analyses of Mycobacterium microti, an ESX-1-deleted member of the Mycobacterium tuberculosis complex causing disease in various hosts

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          Abstract

          Mycobacterium microti is an animal-adapted member of the Mycobacterium tuberculosis complex (MTBC), which was originally isolated from voles, but has more recently also been isolated from other selected mammalian hosts, including occasionally from humans. Here, we have generated and analysed the complete genome sequences of five representative vole and clinical M. microti isolates using PacBio- and Illumina-based technologies, and have tested their virulence and vaccine potential in SCID (severe combined immune deficient) mouse and/or guinea pig infection models. We show that the clinical isolates studied here cluster separately in the phylogenetic tree from vole isolates and other clades from publicly available M. microti genome sequences. These data also confirm that the vole and clinical M. microti isolates were all lacking the specific RD1 mic region, which in other tubercle bacilli encodes the ESX-1 type VII secretion system. Biochemical analysis further revealed marked phenotypic differences between isolates in type VII-mediated secretion of selected PE and PPE proteins, which in part were attributed to specific genetic polymorphisms. Infection experiments in the highly susceptible SCID mouse model showed that the clinical isolates were significantly more virulent than the tested vole isolates, but still much less virulent than the M. tuberculosis H37Rv control strain. The strong attenuation of the ATCC 35872 vole isolate in immunocompromised mice, even compared to the attenuated BCG (bacillus Calmette–Guérin) vaccine, and its historic use in human vaccine trials encouraged us to test this strain’s vaccine potential in a guinea pig model, where it demonstrated similar protective efficacy as a BCG control, making it a strong candidate for vaccination of immunocompromised individuals in whom BCG vaccination is contra-indicated. Overall, we provide new insights into the genomic and phenotypic variabilities and particularities of members of an understudied clade of the MTBC, which all share a recent common ancestor that is characterized by the deletion of the RD1 mic region.

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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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              RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

              Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                February 2021
                2 February 2021
                2 February 2021
                : 7
                : 2
                : 000505
                Affiliations
                [ 1] Institut Pasteur, Unit for Integrated Mycobacterial Pathogenomics, CNRS UMR 3525 , Paris 75015, France
                [ 2] departmentPublic Health England , Porton Down , Salisbury SP4 0JG, UK
                [ 3] departmentAmsterdam UMC , University of Amsterdam, Department of Experimental Immunology, Amsterdam institute for Infection & Immunity , Meibergdreef 9, Amsterdam, Netherlands
                [ 4] Institut Pasteur, Biomics, C2RT , Paris 75015, France
                [ 5] departmentWellcome Sanger Institute , Wellcome Genome Campus , Hinxton CB10 1SA, UK
                [ 6] departmentDepartment of Veterinary Medicine , University of Cambridge , Cambridge CB3 0ES, UK
                [ 7] departmentCIIL - Center for Infection and Immunity of Lille , Université de Lille/CNRS UMR 9017/INSERM U1019/CHU Lille/Institut Pasteur de Lille , Lille 59000, France
                Author notes
                *Correspondence: Roland Brosch, roland.brosch@ 123456pasteur.fr
                *Correspondence: Mickael Orgeur, mickael.orgeur@ 123456pasteur.fr
                Author information
                https://orcid.org/0000-0001-5172-7961
                https://orcid.org/0000-0002-5680-576X
                https://orcid.org/0000-0002-2953-8010
                https://orcid.org/0000-0003-4050-1814
                https://orcid.org/0000-0003-3549-1543
                https://orcid.org/0000-0002-7069-5958
                https://orcid.org/0000-0003-0991-7344
                https://orcid.org/0000-0003-2587-3863
                Article
                000505
                10.1099/mgen.0.000505
                8208694
                33529148
                a93a7596-5c59-41a4-bcea-c7f967f1c34c
                © 2021 The Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution License.

                History
                : 20 October 2020
                : 16 December 2020
                Funding
                Funded by: Agence Nationale de la Recherche
                Award ID: ANR-10-INBS-09-09
                Award Recipient : LaurenceMa
                Funded by: Institut Pasteur
                Award ID: Pasteur-Roux-Cantarini postdoctoral fellowship program
                Award Recipient : MickaelOrgeur
                Funded by: Fondation pour la Recherche Médicale
                Award ID: SPF20160936136
                Award Recipient : MickaelOrgeur
                Funded by: Agence Nationale de la Recherche
                Award ID: ANR-10-LABX-62-IBEID
                Award Recipient : RolandBrosch
                Funded by: Agence Nationale de la Recherche
                Award ID: ANR-16-CE35-0009
                Award Recipient : RolandBrosch
                Funded by: Horizon 2020 Framework Programme
                Award ID: 260872
                Award Recipient : RolandBrosch
                Categories
                Research Article
                Functional Genomics & Microbe–Niche Interactions
                Custom metadata
                0

                esx-1,mouse and guinea pig models,mycobacterium microti,protective efficacy,virulence evaluation,whole-genome sequencing

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