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      Advancing animal tuberculosis surveillance using culture-independent long-read whole-genome sequencing

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          Abstract

          Animal tuberculosis is a significant infectious disease affecting both livestock and wildlife populations worldwide. Effective disease surveillance and characterization of Mycobacterium bovis (M. bovis) strains are essential for understanding transmission dynamics and implementing control measures. Currently, sequencing of genomic information has relied on culture-based methods, which are time-consuming, resource-demanding, and concerning in terms of biosafety. This study explores the use of culture-independent long-read whole-genome sequencing (WGS) for a better understanding of M. bovis epidemiology in African buffaloes ( Syncerus caffer). By comparing two sequencing approaches, we evaluated the efficacy of Illumina WGS performed on culture extracts and culture-independent Oxford Nanopore adaptive sampling (NAS). Our objective was to assess the potential of NAS to detect genomic variants without sample culture. In addition, culture-independent amplicon sequencing, targeting mycobacterial-specific housekeeping and full-length 16S rRNA genes, was applied to investigate the presence of microorganisms, including nontuberculous mycobacteria. The sequencing quality obtained from DNA extracted directly from tissues using NAS is comparable to the sequencing quality of reads generated from culture-derived DNA using both NAS and Illumina technologies. We present a new approach that provides complete and accurate genome sequence reconstruction, culture independently, and using an economically affordable technique.

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          BEDTools: a flexible suite of utilities for comparing genomic features

          Motivation: Testing for correlations between different sets of genomic features is a fundamental task in genomics research. However, searching for overlaps between features with existing web-based methods is complicated by the massive datasets that are routinely produced with current sequencing technologies. Fast and flexible tools are therefore required to ask complex questions of these data in an efficient manner. Results: This article introduces a new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets. Availability and implementation: BEDTools was written in C++. Source code and a comprehensive user manual are freely available at http://code.google.com/p/bedtools Contact: aaronquinlan@gmail.com; imh4y@virginia.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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            Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation

            The Interactive Tree Of Life ( https://itol.embl.de ) is an online tool for the display, manipulation and annotation of phylogenetic and other trees. It is freely available and open to everyone. iTOL version 5 introduces a completely new tree display engine, together with numerous new features. For example, a new dataset type has been added (MEME motifs), while annotation options have been expanded for several existing ones. Node metadata display options have been extended and now also support non-numerical categorical values, as well as multiple values per node. Direct manual annotation is now available, providing a set of basic drawing and labeling tools, allowing users to draw shapes, labels and other features by hand directly onto the trees. Support for tree and dataset scales has been extended, providing fine control over line and label styles. Unrooted tree displays can now use the equal-daylight algorithm, proving a much greater display clarity. The user account system has been streamlined and expanded with new navigation options and currently handles >1 million trees from >70 000 individual users. Graphical Abstract iTOL: an online tool for the tree display and annotation.
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              Improved metagenomic analysis with Kraken 2

              Although Kraken’s k-mer-based approach provides a fast taxonomic classification of metagenomic sequence data, its large memory requirements can be limiting for some applications. Kraken 2 improves upon Kraken 1 by reducing memory usage by 85%, allowing greater amounts of reference genomic data to be used, while maintaining high accuracy and increasing speed fivefold. Kraken 2 also introduces a translated search mode, providing increased sensitivity in viral metagenomics analysis.
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                Author and article information

                Contributors
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                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                21 November 2023
                2023
                : 14
                : 1307440
                Affiliations
                [1] 1Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research, Faculty of Medicine and Health Sciences, Stellenbosch University , Cape Town, South Africa
                [2] 2Section of Veterinary Bacteriology, Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich , Zurich, Switzerland
                [3] 3National Veterinary Services Laboratories, Veterinary Services, Animal and Plant Health Inspection Service, United States Department of Agriculture , Ames, IA, United States
                [4] 4School of Biological Sciences, University of Aberdeen , Aberdeen, United Kingdom
                Author notes

                Edited by: Axel Cloeckaert, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), France

                Reviewed by: Lorraine Michelet, Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail (ANSES), France; Amandine Hauer, University of Gdańsk, Poland; Linzy Elton, University College London, United Kingdom; Ramon A. Juste, NEIKER, Basque Institute for Agricultural Research and Development, Spain

                *Correspondence: Wynand J. Goosen, wjgoosen@ 123456sun.ac.za

                These authors have contributed equally to this work and share first authorship

                These authors share senior authorship

                Article
                10.3389/fmicb.2023.1307440
                10699144
                38075895
                c0eb6541-fd75-40c4-93b7-071d49aa28c0
                Copyright © 2023 Ghielmetti, Loubser, Kerr, Stuber, Thacker, Martin, O’Hare, Mhlophe, Okunola, Loxton, Warren, Moseley, Miller and Goosen.

                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
                : 05 October 2023
                : 23 October 2023
                Page count
                Figures: 6, Tables: 3, Equations: 0, References: 67, Pages: 13, Words: 10244
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Wellcome Foundation (grant #222941/Z/21/Z), the South African Medical Research Council, American Association of Zoo Veterinarians Wild Animal Health Fund [S005651 and S007355], the National Research Foundation South African Research Chair Initiative [grant #86949], and MHM was supported by Wellcome Trust (grant #216634/Z/19/Z). AGL is supported by the EDCTP TESA III network (CSA2020NoE-3104).
                Categories
                Microbiology
                Original Research
                Custom metadata
                Infectious Agents and Disease

                Microbiology & Virology
                adaptive sampling,african buffaloes,culture-independent,mycobacterium bovis,next-generation sequencing,whole-genome sequencing

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