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Journal of Evolutionary Biology
Article . 2014 . Peer-reviewed
License: Wiley Online Library User Agreement
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Coinfection and the evolution of drug resistance

Authors: J, Hansen; T, Day;

Coinfection and the evolution of drug resistance

Abstract

AbstractRecent experimental work in the rodent malaria model has shown that when two or more strains share a host, there is competitive release of drug‐resistant strains upon treatment. In other words, the propagule output of a particular strain is repressed when competing with other strains and increases upon the removal of this competition. This within‐host effect is predicted to have an important impact on the evolution and growth of resistant strains. However, how this effect translates to epidemiological parameters at the between‐host level, the level at which disease and resistance spread, has yet to be determined. Here we present a general, between‐host epidemiological model that explicitly takes into account the effect of coinfection and competitive release. Although our model does show that when there is coinfection competitive release may contribute to the emergence of resistance, it also highlights an additional between‐host effect. It is the combination of these two effects, the between‐host effect and the within‐host effect, that determines the overall influence of coinfection on the emergence of resistance. Therefore, even when competitive release of drug‐resistant strains occurs, within an infected individual, it is not necessarily true that coinfection will result in the increased emergence of resistance. These results have important implications for the control of the emergence and spread of drug resistance.

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Keywords

Coinfection, Drug Resistance, Biological Evolution, Models, Biological, Host-Parasite Interactions, Malaria, Mice, Species Specificity, Plasmodium chabaudi, Animals

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
bronze