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Mathematical modelling to study the horizontal transfer of antimicrobial resistance genes in bacteria: current state of the field and recommendations.

Leclerc, QJ; Lindsay, JA; Knight, GM (2019) Mathematical modelling to study the horizontal transfer of antimicrobial resistance genes in bacteria: current state of the field and recommendations. J R Soc Interface, 16 (157). p. 20190260. ISSN 1742-5662 https://doi.org/10.1098/rsif.2019.0260
SGUL Authors: Lindsay, Jodi Anne

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Abstract

Antimicrobial resistance (AMR) is one of the greatest public health challenges we are currently facing. To develop effective interventions against this, it is essential to understand the processes behind the spread of AMR. These are partly dependent on the dynamics of horizontal transfer of resistance genes between bacteria, which can occur by conjugation (direct contact), transformation (uptake from the environment) or transduction (mediated by bacteriophages). Mathematical modelling is a powerful tool to investigate the dynamics of AMR; however, the extent of its use to study the horizontal transfer of AMR genes is currently unclear. In this systematic review, we searched for mathematical modelling studies that focused on horizontal transfer of AMR genes. We compared their aims and methods using a list of predetermined criteria and used our results to assess the current state of this research field. Of the 43 studies we identified, most focused on the transfer of single genes by conjugation in Escherichia coli in culture and its impact on the bacterial evolutionary dynamics. Our findings highlight the existence of an important research gap in the dynamics of transformation and transduction and the overall public health implications of horizontal transfer of AMR genes. To further develop this field and improve our ability to control AMR, it is essential that we clarify the structural complexity required to study the dynamics of horizontal gene transfer, which will require cooperation between microbiologists and modellers.

Item Type: Article
Additional Information: © 2019 The Author(s) Published by the Royal Society. All rights reserved.
Keywords: antimicrobial resistance, epidemiology, horizontal gene transfer, mathematical modelling, microbiology, antimicrobial resistance, horizontal gene transfer, mathematical modelling, epidemiology, microbiology, MD Multidisciplinary, General Science & Technology
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: J R Soc Interface
ISSN: 1742-5662
Language: eng
Dates:
DateEvent
7 August 2019Published
14 August 2019Published Online
28 June 2019Accepted
Publisher License: Publisher's own licence
Projects:
Project IDFunderFunder ID
MR/P014658/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
MR/N013638/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
PubMed ID: 31409239
Web of Science ID: WOS:000484404700019
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/111316
Publisher's version: https://doi.org/10.1098/rsif.2019.0260

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