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      Discovery of the fourth mobile sulfonamide resistance gene

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          Abstract

          Background

          Over the past 75 years, human pathogens have acquired antibiotic resistance genes (ARGs), often from environmental bacteria. Integrons play a major role in the acquisition of antibiotic resistance genes. We therefore hypothesized that focused exploration of integron gene cassettes from microbial communities could be an efficient way to find novel mobile resistance genes. DNA from polluted Indian river sediments were amplified using three sets of primers targeting class 1 integrons and sequenced by long- and short-read technologies to maintain both accuracy and context.

          Results

          Up to 89% of identified open reading frames encode known resistance genes, or variations thereof (> 1000). We identified putative novel ARGs to aminoglycosides, beta-lactams, trimethoprim, rifampicin, and chloramphenicol, including several novel OXA variants, providing reduced susceptibility to carbapenems. One dihydropteroate synthase gene, with less than 34% amino acid identity to the three known mobile sulfonamide resistance genes ( sul1–3), provided complete resistance when expressed in Escherichia coli. The mobilized gene, here named sul4, is the first mobile sulfonamide resistance gene discovered since 2003. Analyses of adjacent DNA suggest that sul4 has been decontextualized from a set of chromosomal genes involved in folate synthesis in its original host, likely within the phylum Chloroflexi. The presence of an insertion sequence common region element could provide mobility to the entire integron. Screening of 6489 metagenomic datasets revealed that sul4 is already widespread in seven countries across Asia and Europe.

          Conclusions

          Our findings show that exploring integrons from environmental communities with a history of antibiotic exposure can provide an efficient way to find novel, mobile resistance genes. The mobilization of a fourth sulfonamide resistance gene is likely to provide expanded opportunities for sulfonamide resistance to spread, with potential impacts on both human and animal health.

          Electronic supplementary material

          The online version of this article (10.1186/s40168-017-0379-y) contains supplementary material, which is available to authorized users.

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          Most cited references49

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          ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

          The Environment for Tree Exploration (ETE) is a computational framework that simplifies the reconstruction, analysis, and visualization of phylogenetic trees and multiple sequence alignments. Here, we present ETE v3, featuring numerous improvements in the underlying library of methods, and providing a novel set of standalone tools to perform common tasks in comparative genomics and phylogenetics. The new features include (i) building gene-based and supermatrix-based phylogenies using a single command, (ii) testing and visualizing evolutionary models, (iii) calculating distances between trees of different size or including duplications, and (iv) providing seamless integration with the NCBI taxonomy database. ETE is freely available at http://etetoolkit.org
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            The comprehensive antibiotic resistance database.

            The field of antibiotic drug discovery and the monitoring of new antibiotic resistance elements have yet to fully exploit the power of the genome revolution. Despite the fact that the first genomes sequenced of free living organisms were those of bacteria, there have been few specialized bioinformatic tools developed to mine the growing amount of genomic data associated with pathogens. In particular, there are few tools to study the genetics and genomics of antibiotic resistance and how it impacts bacterial populations, ecology, and the clinic. We have initiated development of such tools in the form of the Comprehensive Antibiotic Research Database (CARD; http://arpcard.mcmaster.ca). The CARD integrates disparate molecular and sequence data, provides a unique organizing principle in the form of the Antibiotic Resistance Ontology (ARO), and can quickly identify putative antibiotic resistance genes in new unannotated genome sequences. This unique platform provides an informatic tool that bridges antibiotic resistance concerns in health care, agriculture, and the environment.
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              FastQC: a quality-control tool for high-throughput sequence data.

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                Author and article information

                Contributors
                Mohammad.Razavi@gu.se
                nachiket.marathe@gu.se
                michael.gillings@mq.edu.au
                carl-fredrik.flach@microbio.gu.se
                erik.kristiansson@chalmers.se
                joakim.larsson@fysiologi.gu.se
                Journal
                Microbiome
                Microbiome
                Microbiome
                BioMed Central (London )
                2049-2618
                15 December 2017
                15 December 2017
                2017
                : 5
                : 160
                Affiliations
                [1 ]ISNI 0000 0000 9919 9582, GRID grid.8761.8, Centre for Antibiotic Resistance Research (CARe) at University of Gothenburg, ; Gothenburg, Sweden
                [2 ]ISNI 0000 0000 9919 9582, GRID grid.8761.8, Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, , University of Gothenburg, ; Gothenburg, Sweden
                [3 ]ISNI 0000 0001 2158 5405, GRID grid.1004.5, Department of Biological Sciences, Genes to Geoscience Research Centre, , Macquarie University, ; Sydney, New South Wales Australia
                [4 ]ISNI 0000 0001 0775 6028, GRID grid.5371.0, Department of Mathematical Sciences, , Chalmers University of Technology, ; Gothenburg, Sweden
                Article
                379
                10.1186/s40168-017-0379-y
                5732528
                29246178
                179a1592-bb05-4702-a5a2-5f2e1c596956
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 26 September 2017
                : 29 November 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001862, Svenska Forskningsrådet Formas;
                Award ID: 942-2015-750
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004359, Vetenskapsrådet;
                Award ID: 521-2013-8633
                Award Recipient :
                Funded by: Vetenskapsrådet (SE)
                Award ID: 2015-02492
                Award Recipient :
                Funded by: Centre for Antibiotic Resistance Research (CARe) at University of Gothenburg
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                evolution,bioprospecting,resistome,metagenomics,pharmaceutical,environment

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