Understanding the evolution of multiple drug resistance in structured populations

The evolution of multidrug resistance (MDR) is a pressing public health concern. Yet many aspects, such as the role played by population structure, remain poorly understood. Here, we argue that studying MDR evolution by focusing upon the dynamical equations for linkage disequilibrium (LD) can greatl...

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Main Authors: David V McLeod, Sylvain Gandon
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-06-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/65645
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spelling doaj-705c0c1285c04a439f753ea4237285852021-06-16T16:06:52ZengeLife Sciences Publications LtdeLife2050-084X2021-06-011010.7554/eLife.65645Understanding the evolution of multiple drug resistance in structured populationsDavid V McLeod0https://orcid.org/0000-0003-2551-7877Sylvain Gandon1Centre D'Ecologie Fonctionnelle & Evolutive, CNRS, Univ Montpellier, EPHE, IRD, Montpellier, FranceCentre D'Ecologie Fonctionnelle & Evolutive, CNRS, Univ Montpellier, EPHE, IRD, Montpellier, FranceThe evolution of multidrug resistance (MDR) is a pressing public health concern. Yet many aspects, such as the role played by population structure, remain poorly understood. Here, we argue that studying MDR evolution by focusing upon the dynamical equations for linkage disequilibrium (LD) can greatly simplify the calculations, generate more insight, and provide a unified framework for understanding the role of population structure. We demonstrate how a general epidemiological model of MDR evolution can be recast in terms of the LD equations. These equations reveal how the different forces generating and propagating LD operate in a dynamical setting at both the population and metapopulation levels. We then apply these insights to show how the LD perspective: (i) explains equilibrium patterns of MDR, (ii) provides a simple interpretative framework for transient evolutionary dynamics, and (iii) can be used to assess the consequences of different drug prescription strategies for MDR evolution.https://elifesciences.org/articles/65645antibiotic resistancelinkage disequilibriummultidrug resistanceevolutionary epidemiology
collection DOAJ
language English
format Article
sources DOAJ
author David V McLeod
Sylvain Gandon
spellingShingle David V McLeod
Sylvain Gandon
Understanding the evolution of multiple drug resistance in structured populations
eLife
antibiotic resistance
linkage disequilibrium
multidrug resistance
evolutionary epidemiology
author_facet David V McLeod
Sylvain Gandon
author_sort David V McLeod
title Understanding the evolution of multiple drug resistance in structured populations
title_short Understanding the evolution of multiple drug resistance in structured populations
title_full Understanding the evolution of multiple drug resistance in structured populations
title_fullStr Understanding the evolution of multiple drug resistance in structured populations
title_full_unstemmed Understanding the evolution of multiple drug resistance in structured populations
title_sort understanding the evolution of multiple drug resistance in structured populations
publisher eLife Sciences Publications Ltd
series eLife
issn 2050-084X
publishDate 2021-06-01
description The evolution of multidrug resistance (MDR) is a pressing public health concern. Yet many aspects, such as the role played by population structure, remain poorly understood. Here, we argue that studying MDR evolution by focusing upon the dynamical equations for linkage disequilibrium (LD) can greatly simplify the calculations, generate more insight, and provide a unified framework for understanding the role of population structure. We demonstrate how a general epidemiological model of MDR evolution can be recast in terms of the LD equations. These equations reveal how the different forces generating and propagating LD operate in a dynamical setting at both the population and metapopulation levels. We then apply these insights to show how the LD perspective: (i) explains equilibrium patterns of MDR, (ii) provides a simple interpretative framework for transient evolutionary dynamics, and (iii) can be used to assess the consequences of different drug prescription strategies for MDR evolution.
topic antibiotic resistance
linkage disequilibrium
multidrug resistance
evolutionary epidemiology
url https://elifesciences.org/articles/65645
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AT sylvaingandon understandingtheevolutionofmultipledrugresistanceinstructuredpopulations
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