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      High clonality of Mycobacterium avium subsp. paratuberculosis field isolates from red deer revealed by two different methodological approaches of comparative genomic analysis

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          Abstract

          Mycobacterium avium subsp. paratuberculosis (MAP) is the aetiological agent of paratuberculosis (Johne’s disease) in both domestic and wild ruminants. In the present study, using a whole-genome sequence (WGS) approach, we investigated the genetic diversity of 15 Mycobacterium avium field strains isolated in the last 10 years from red deer inhabiting the Stelvio National Park and affected by paratuberculosis. Combining de novo assembly and a reference-based method, followed by a pangenome analysis, we highlight a very close relationship among 13 MAP field isolates, suggesting that a single infecting event occurred in this population. Moreover, two isolates have been classified as Mycobacterium avium subsp. hominissuis, distinct from the other MAPs under comparison but close to each other. This is the first time that this subspecies has been found in Italy in samples without evident epidemiological correlations, having been isolated in two different locations of the Stelvio National Park and in different years. Our study highlights the importance of a multidisciplinary approach incorporating molecular epidemiology and ecology into traditional infectious disease knowledge in order to investigate the nature of infectious disease in wildlife populations.

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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
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                Journal
                Front Vet Sci
                Front Vet Sci
                Front. Vet. Sci.
                Frontiers in Veterinary Science
                Frontiers Media S.A.
                2297-1769
                06 February 2024
                2024
                : 11
                : 1301667
                Affiliations
                [1] 1Dipartimento di Scienze Agrarie e Forestali (DAFNE), Università degli Studi della Tuscia , Viterbo, Italy
                [2] 2National Reference Centre and WOAH Reference Laboratory for Paratuberculosis, Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna “Bruno Ubertini” , Piacenza, Italy
                [3] 3Dipartimento per l'Innovazione nei Sistemi Biologici, Agroalimentari e Forestali (DIBAF), Università degli Studi della Tuscia , Viterbo, Italy
                [4] 4Department of Veterinary Medicine and Animal Sciences, Coordinated Research Centre "EpiSoMI", University of Milan , Lodi, Italy
                [5] 5Institute of Translational Pharmacology, National Research Council, CNR , Rome, Italy
                Author notes

                Edited by: Giovanni Ghielmetti, University of Zurich, Switzerland

                Reviewed by: Gianluigi Rossi, University of Edinburgh, United Kingdom; Nathalie Bissonnette, Agriculture and Agri-Food Canada (AAFC), Canada; Federica Gigliucci, National Institute of Health (ISS), Italy

                *Correspondence: Giovanni Chillemi, gchillemi@ 123456unitus.it
                Article
                10.3389/fvets.2024.1301667
                10876796
                38379925
                e7f32f3e-a2a2-4b23-8bc2-8efca6f238bd
                Copyright © 2024 Turco, Russo, Pietrucci, Filippi, Milanesi, Luzzago, Garbarino, Palladini, Chillemi and Ricchi.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 September 2023
                : 10 January 2024
                Page count
                Figures: 5, Tables: 1, Equations: 0, References: 54, Pages: 11, Words: 7719
                Funding
                Funded by: Italian Ministry of Health
                Award ID: E54I1900280001
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported partially by the public health service grant no. E54I1900280001 (internal code PRC 2019/010) from the Italian Ministry of Health.
                Categories
                Veterinary Science
                Original Research
                Custom metadata
                Veterinary Epidemiology and Economics

                mycobacterium avium subsp. paratuberculosis,red deer,wild animals,italy,whole genome sequencing,epidemiology

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