Literature DB >> 31409239

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

Quentin J Leclerc1, Jodi A Lindsay2, Gwenan M Knight1.   

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.

Entities:  

Keywords:  antimicrobial resistance; epidemiology; horizontal gene transfer; mathematical modelling; microbiology

Mesh:

Substances:

Year:  2019        PMID: 31409239      PMCID: PMC6731517          DOI: 10.1098/rsif.2019.0260

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  67 in total

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Journal:  Nature       Date:  2000-05-18       Impact factor: 49.962

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Authors:  T WATANABE; T FUKASAWA
Journal:  J Bacteriol       Date:  1961-05       Impact factor: 3.490

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Authors:  P J Hastings; Susan M Rosenberg; Andrew Slack
Journal:  Trends Microbiol       Date:  2004-09       Impact factor: 17.079

Review 4.  Natural transformation of Neisseria gonorrhoeae: from DNA donation to homologous recombination.

Authors:  Holly L Hamilton; Joseph P Dillard
Journal:  Mol Microbiol       Date:  2006-01       Impact factor: 3.501

Review 5.  Mechanisms of, and barriers to, horizontal gene transfer between bacteria.

Authors:  Christopher M Thomas; Kaare M Nielsen
Journal:  Nat Rev Microbiol       Date:  2005-09       Impact factor: 60.633

6.  Static recipient cells as reservoirs of antibiotic resistance during antibiotic therapy.

Authors:  Allan R Willms; Paul D Roughan; Jack A Heinemann
Journal:  Theor Popul Biol       Date:  2006-05-24       Impact factor: 1.570

7.  A model of antibiotic-resistant bacterial epidemics in hospitals.

Authors:  Glenn F Webb; Erika M C D'Agata; Pierre Magal; Shigui Ruan
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-02       Impact factor: 11.205

8.  SOS response promotes horizontal dissemination of antibiotic resistance genes.

Authors:  John W Beaber; Bianca Hochhut; Matthew K Waldor
Journal:  Nature       Date:  2003-12-21       Impact factor: 49.962

9.  beta-lactam antibiotics induce the SOS response and horizontal transfer of virulence factors in Staphylococcus aureus.

Authors:  Elisa Maiques; Carles Ubeda; Susana Campoy; Noelia Salvador; Iñigo Lasa; Richard P Novick; Jordi Barbé; José R Penadés
Journal:  J Bacteriol       Date:  2006-04       Impact factor: 3.490

10.  Plasmids spread very fast in heterogeneous bacterial communities.

Authors:  Francisco Dionisio; Ivan Matic; Miroslav Radman; Olivia R Rodrigues; François Taddei
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

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  8 in total

1.  Microbiome-pathogen interactions drive epidemiological dynamics of antibiotic resistance: A modeling study applied to nosocomial pathogen control.

Authors:  Laura Temime; Lulla Opatowski; David Rm Smith
Journal:  Elife       Date:  2021-09-14       Impact factor: 8.140

2.  Simulating the Influence of Conjugative-Plasmid Kinetic Values on the Multilevel Dynamics of Antimicrobial Resistance in a Membrane Computing Model.

Authors:  Marcelino Campos; Álvaro San Millán; José M Sempere; Val F Lanza; Teresa M Coque; Carlos Llorens; Fernando Baquero
Journal:  Antimicrob Agents Chemother       Date:  2020-07-22       Impact factor: 5.191

Review 3.  The ecology of plasmid-coded antibiotic resistance: a basic framework for experimental research and modeling.

Authors:  Martin Zwanzig
Journal:  Comput Struct Biotechnol J       Date:  2020-12-29       Impact factor: 7.271

4.  Modeling the ecology of parasitic plasmids.

Authors:  Jaime G Lopez; Mohamed S Donia; Ned S Wingreen
Journal:  ISME J       Date:  2021-04-08       Impact factor: 10.302

5.  Growth-Dependent Predation and Generalized Transduction of Antimicrobial Resistance by Bacteriophage.

Authors:  Quentin J Leclerc; Jacob Wildfire; Arya Gupta; Jodi A Lindsay; Gwenan M Knight
Journal:  mSystems       Date:  2022-03-21       Impact factor: 7.324

6.  Effective antibiotic dosing in the presence of resistant strains.

Authors:  Asgher Ali; Mudassar Imran; Sultan Sial; Adnan Khan
Journal:  PLoS One       Date:  2022-10-10       Impact factor: 3.752

7.  Systematic detection of horizontal gene transfer across genera among multidrug-resistant bacteria in a single hospital.

Authors:  Daniel R Evans; Marissa P Griffith; Alexander J Sundermann; Kathleen A Shutt; Melissa I Saul; Mustapha M Mustapha; Jane W Marsh; Vaughn S Cooper; Lee H Harrison; Daria Van Tyne
Journal:  Elife       Date:  2020-04-14       Impact factor: 8.140

8.  The persistence potential of transferable plasmids.

Authors:  Teng Wang; Lingchong You
Journal:  Nat Commun       Date:  2020-11-04       Impact factor: 14.919

  8 in total

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