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      Mode and dynamics of vanA-type vancomycin resistance dissemination in Dutch hospitals

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          Abstract

          Background

          Enterococcus faecium is a commensal of the gastrointestinal tract of animals and humans but also a causative agent of hospital-acquired infections. Resistance against glycopeptides and to vancomycin has motivated the inclusion of E. faecium in the WHO global priority list. Vancomycin resistance can be conferred by the vanA gene cluster on the transposon Tn 1546, which is frequently present in plasmids. The vanA gene cluster can be disseminated clonally but also horizontally either by plasmid dissemination or by Tn 1546 transposition between different genomic locations.

          Methods

          We performed a retrospective study of the genomic epidemiology of 309 vancomycin-resistant E. faecium (VRE) isolates across 32 Dutch hospitals (2012–2015). Genomic information regarding clonality and Tn 1546 characterization was extracted using hierBAPS sequence clusters (SC) and TETyper, respectively. Plasmids were predicted using gplas in combination with a network approach based on shared k-mer content. Next, we conducted a pairwise comparison between isolates sharing a potential epidemiological link to elucidate whether clonal, plasmid, or Tn 1546 spread accounted for vanA-type resistance dissemination.

          Results

          On average, we estimated that 59% of VRE cases with a potential epidemiological link were unrelated which was defined as VRE pairs with a distinct Tn 1546 variant. Clonal dissemination accounted for 32% cases in which the same SC and Tn 1546 variants were identified. Horizontal plasmid dissemination accounted for 7% of VRE cases, in which we observed VRE pairs belonging to a distinct SC but carrying an identical plasmid and Tn 1546 variant. In 2% of cases, we observed the same Tn 1546 variant in distinct SC and plasmid types which could be explained by mixed and consecutive events of clonal and plasmid dissemination.

          Conclusions

          In related VRE cases, the dissemination of the vanA gene cluster in Dutch hospitals between 2012 and 2015 was dominated by clonal spread. However, we also identified outbreak settings with high frequencies of plasmid dissemination in which the spread of resistance was mainly driven by horizontal gene transfer (HGT). This study demonstrates the feasibility of distinguishing between modes of dissemination with short-read data and provides a novel assessment to estimate the relative contribution of nested genomic elements in the dissemination of vanA-type resistance.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13073-020-00825-3.

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          Most cited references46

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          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

              The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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                Author and article information

                Contributors
                a.c.schurch@umcutrecht.nl
                Journal
                Genome Med
                Genome Med
                Genome Medicine
                BioMed Central (London )
                1756-994X
                20 January 2021
                20 January 2021
                2021
                : 13
                : 9
                Affiliations
                [1 ]GRID grid.7692.a, ISNI 0000000090126352, Department of Medical Microbiology, , University Medical Center Utrecht, ; Utrecht, The Netherlands
                [2 ]GRID grid.5510.1, ISNI 0000 0004 1936 8921, Department of Biostatistics, , University of Oslo, ; Oslo, Norway
                [3 ]GRID grid.10306.34, ISNI 0000 0004 0606 5382, Pathogen Genomics, Wellcome Trust Sanger Institute, ; Cambridge, CB10 1SA UK
                [4 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Mathematics and Statistics, , Helsinki Institute of Information Technology (HIIT), FI-00014 University of Helsinki, ; Helsinki, Finland
                Article
                825
                10.1186/s13073-020-00825-3
                7816424
                33472670
                3411ece9-39d6-4ac0-9019-f9e9e392961a
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 6 July 2020
                : 30 December 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100013281, Joint Programming Initiative on Antimicrobial Resistance;
                Award ID: JPIAMR2016-AC16/00039
                Award ID: JPIAMR2016-AC16/00039
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010663, H2020 European Research Council;
                Award ID: 742158
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001826, ZonMw;
                Award ID: 541003005
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Molecular medicine
                enterococcus faecium,genome sequencing,vancomycin resistance,network,clonal dissemination,horizontal dissemination,horizontal gene transfer

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