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      Plasmid- and strain-specific factors drive variation in ESBL-plasmid spread in vitro and in vivo

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          Abstract

          Horizontal gene transfer, mediated by conjugative plasmids, is a major driver of the global rise of antibiotic resistance. However, the relative contributions of factors that underlie the spread of plasmids and their roles in conjugation in vivo are unclear. To address this, we investigated the spread of clinical Extended Spectrum Beta-Lactamase (ESBL)-producing plasmids in the absence of antibiotics in vitro and in the mouse intestine. We hypothesised that plasmid properties would be the primary determinants of plasmid spread and that bacterial strain identity would also contribute. We found clinical Escherichia coli strains natively associated with ESBL-plasmids conjugated to three distinct E. coli strains and one Salmonella enterica serovar Typhimurium strain. Final transconjugant frequencies varied across plasmid, donor, and recipient combinations, with qualitative consistency when comparing transfer in vitro and in vivo in mice. In both environments, transconjugant frequencies for these natural strains and plasmids covaried with the presence/absence of transfer genes on ESBL-plasmids and were affected by plasmid incompatibility. By moving ESBL-plasmids out of their native hosts, we showed that donor and recipient strains also modulated transconjugant frequencies. This suggests that plasmid spread in the complex gut environment of animals and humans can be predicted based on in vitro testing and genetic data.

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          Most cited references81

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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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            Prokka: rapid prokaryotic genome annotation.

            T Seemann (2014)
            The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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              Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads

              The Illumina DNA sequencing platform generates accurate but short reads, which can be used to produce accurate but fragmented genome assemblies. Pacific Biosciences and Oxford Nanopore Technologies DNA sequencing platforms generate long reads that can produce complete genome assemblies, but the sequencing is more expensive and error-prone. There is significant interest in combining data from these complementary sequencing technologies to generate more accurate “hybrid” assemblies. However, few tools exist that truly leverage the benefits of both types of data, namely the accuracy of short reads and the structural resolving power of long reads. Here we present Unicycler, a new tool for assembling bacterial genomes from a combination of short and long reads, which produces assemblies that are accurate, complete and cost-effective. Unicycler builds an initial assembly graph from short reads using the de novo assembler SPAdes and then simplifies the graph using information from short and long reads. Unicycler uses a novel semi-global aligner to align long reads to the assembly graph. Tests on both synthetic and real reads show Unicycler can assemble larger contigs with fewer misassemblies than other hybrid assemblers, even when long-read depth and accuracy are low. Unicycler is open source (GPLv3) and available at github.com/rrwick/Unicycler.
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                Author and article information

                Contributors
                fabienne.benz@env.ethz.ch
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                4 November 2020
                4 November 2020
                March 2021
                : 15
                : 3
                : 862-878
                Affiliations
                [1 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Institute of Integrative Biology, Department of Environmental Systems Science, , ETH Zurich, ; Zurich, Switzerland
                [2 ]GRID grid.419765.8, ISNI 0000 0001 2223 3006, Swiss Institute of Bioinformatics, ; Basel, Switzerland
                [3 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Institute of Microbiology, Department of Biology, ETH Zurich, ; Zurich, Switzerland
                [4 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Department of Biosystems Science and Engineering, , ETH Zurich, ; Basel, Switzerland
                [5 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Institute of Biogeochemistry and Pollutant Dynamics, Department of Environmental Systems Science, , ETH Zurich, ; Zurich, Switzerland
                [6 ]GRID grid.418656.8, ISNI 0000 0001 1551 0562, Department of Environmental Microbiology, , Eawag, ; Duebendorf, Switzerland
                [7 ]GRID grid.6612.3, ISNI 0000 0004 1937 0642, Biozentrum, University of Basel, ; Basel, Switzerland
                [8 ]GRID grid.410567.1, Division of Clinical Bacteriology and Mycology, , University Hospital Basel, ; Basel, Switzerland
                [9 ]GRID grid.6612.3, ISNI 0000 0004 1937 0642, Applied Microbiology Research, Department of Biomedicine, , University of Basel, ; Basel, Switzerland
                Author information
                http://orcid.org/0000-0002-6679-6502
                http://orcid.org/0000-0002-1782-8109
                http://orcid.org/0000-0001-7970-7890
                http://orcid.org/0000-0002-3654-1373
                http://orcid.org/0000-0002-9892-6420
                http://orcid.org/0000-0001-8052-3925
                Article
                819
                10.1038/s41396-020-00819-4
                8026971
                33149210
                d0dcf08c-71d9-45da-b34f-a4325e575d0d
                © The Author(s) 2020

                Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 June 2020
                : 15 September 2020
                : 21 October 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001711, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation);
                Award ID: 407240-167121
                Award ID: 407240-167121
                Award ID: 407240-167121
                Award ID: 407240-167121
                Award ID: 407240-167121
                Award ID: PP00PP_176954
                Award ID: 407240-167121
                Award ID: 407240-167121
                Award ID: 407240-167121
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001645, Boehringer Ingelheim Fonds (Stiftung für medizinische Grundlagenforschung);
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to International Society for Microbial Ecology 2021

                Microbiology & Virology
                antibiotics,microbial ecology,phylogenomics
                Microbiology & Virology
                antibiotics, microbial ecology, phylogenomics

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