The plasmidome associated with Gram-negative bloodstream infections: A large-scale observational study using complete plasmid assemblies

Samuel Lipworth, Willam Matlock, Liam Shaw, Karina Doris Vihta, Gillian Rodger, Kevin Chau, Leanne Barker, Sophie George, James Kavanagh, Timothy Davies, Alison Vaughan, Monique Andersson, Katie Jeffery, Sarah Oakley, Marcus Morgan, Susan Hopkins, Timothy Peto, Derrick Crook, A. Sarah Walker, Nicole Stoesser

Research output: Contribution to journalArticlepeer-review

10 Citations (SciVal)

Abstract

Plasmids carry genes conferring antimicrobial resistance and other clinically important traits, and contribute to the rapid dissemination of such genes. Previous studies using complete plasmid assemblies, which are essential for reliable inference, have been small and/or limited to plasmids carrying antimicrobial resistance genes (ARGs). In this study, we sequenced 1,880 complete plasmids from 738 isolates from bloodstream infections in Oxfordshire, UK. The bacteria had been originally isolated in 2009 (194 isolates) and 2018 (368 isolates), plus a stratified selection from intervening years (176 isolates). We demonstrate that plasmids are largely, but not entirely, constrained to a single host species, although there is substantial overlap between species of plasmid gene-repertoire. Most ARGs are carried by a relatively small number of plasmid groups with biological features that are predictable. Plasmids carrying ARGs (including those encoding carbapenemases) share a putative ‘backbone’ of core genes with those carrying no such genes. These findings suggest that future surveillance should, in addition to tracking plasmids currently associated with clinically important genes, focus on identifying and monitoring the dissemination of high-risk plasmid groups with the potential to rapidly acquire and disseminate these genes.

Original languageEnglish
Article number1612
Number of pages11
JournalNature Communications
Volume15
Issue number1
Early online date22 Feb 2024
DOIs
Publication statusPublished - 31 Dec 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Data Availability Statement

Sequencing data for the “Oxfordshire dataset” has been deposited under NCBI project accession PRJNA604975 and at https://doi.org/10.25452/figshare.plus.24573268. Sequencing data for the global dataset (https://doi.org/10.1038/s41467-020-16282-w) is available from the NCBI RefSeq repository ftp://ftp.ncbi.nlm.gov/refseq/release/plasmid. Source data are provided with this paper.

Funding

This study is supported by the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford in partnership with Public Health England (PHE) (NIHR200915). W.M. is supported by a scholarship from the Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research (MRF-145-0004-TPG-AVISO). A.S.W. and T.E.A.P. are also supported by the NIHR Oxford Biomedical Research Centre. A.S.W. is an NIHR Senior Investigator. N.S. is an NIHR Oxford BRC Senior Fellow. The views expressed are those of the authors and not necessarily those of the National Health Service, NIHR, Department of Health, or PHE. S.L. is supported by an MRC Clinical Research Training Fellowship (MR/ T001151/1). L.P.S. is a Sir Henry Wellcome Postdoctoral Fellow funded by Wellcome (Grant 220422/Z/20/Z). Computation used the Oxford Biomedical Research Computing (BMRC) facility, a joint development

ASJC Scopus subject areas

  • General Chemistry
  • General Biochemistry,Genetics and Molecular Biology
  • General Physics and Astronomy

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