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      The impact of within-host ecology on the fitness of a drug-resistant parasite

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          Abstract

          We found that drug treatment could double the fitness of a resistant parasite or increase it 10 000-fold, depending on in-host ecology and choice of fitness measure. Conversely, in the absence of treatment, the absolute fitness of resistant parasites was halved or completely eliminated when sensitive parasites were present.

          Abstract

          Background and objectives: The rate of evolution of drug resistance depends on the fitness of resistant pathogens. The fitness of resistant pathogens is reduced by competition with sensitive pathogens in untreated hosts and so enhanced by competitive release in drug-treated hosts. We set out to estimate the magnitude of those effects on a variety of fitness measures, hypothesizing that competitive suppression and competitive release would have larger impacts when resistance was rarer to begin with. Methodology: We infected mice with varying densities of drug-resistant Plasmodium chabaudi malaria parasites in a fixed density of drug-sensitive parasites and followed infection dynamics using strain-specific quantitative PCR. Results: Competition with susceptible parasites reduced the absolute fitness of resistant parasites by 50–100%. Drug treatment increased the absolute fitness from 2- to >10 000-fold. The ecological context and choice of fitness measure was responsible for the wide variation in those estimates. Initial population growth rates poorly predicted parasite abundance and transmission probabilities. Conclusions and implications: (i) The sensitivity of estimates of pathogen fitness to ecological context and choice of fitness measure make it difficult to derive field-relevant estimates of the fitness costs and benefits of resistance from experimental settings. (ii) Competitive suppression can be a key force preventing resistance from emerging when it is rare, as it is when it first arises. (iii) Drug treatment profoundly affects the fitness of resistance. Resistance evolution could be slowed by developing drug use policies that consider in-host competition.

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          Most cited references50

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          The ecology of genetically diverse infections.

          Microparasite infections often consist of genetically distinct clonal lineages. Ecological interactions between these lineages within hosts can influence disease severity, epidemiology, and evolution. Many medical and veterinary interventions have an impact on genetic diversity within infections, but there is little understanding of the long-term consequences of such interventions for public and animal health. Indeed, much of the theory in this area is based on assumptions contradicted by the available data.
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            Compensatory mutations, antibiotic resistance and the population genetics of adaptive evolution in bacteria.

            In the absence of the selecting drugs, chromosomal mutations for resistance to antibiotics and other chemotheraputic agents commonly engender a cost in the fitness of microorganisms. Recent in vivo and in vitro experimental studies of the adaptation to these "costs of resistance" in Escherichia coli, HIV, and Salmonella typhimurium found that evolution in the absence of these drugs commonly results in the ascent of mutations that ameliorate these costs, rather than higher-fitness, drug-sensitive revertants. To ascertain the conditions under which this compensatory evolution, rather than reversion, will occur, we did computer simulations, in vitro experiments, and DNA sequencing studies with low-fitness rpsL (streptomycin-resistant) mutants of E. coli with and without mutations that compensate for the fitness costs of these ribosomal protein mutations. The results of our investigation support the hypothesis that in these experiments, the ascent of intermediate-fitness compensatory mutants, rather than high-fitness revertants, can be attributed to higher rates of compensatory mutations relative to that of reversion and to the numerical bottlenecks associated with serial passage. We argue that these bottlenecks are intrinsic to the population dynamics of parasitic and commensal microbes and discuss the implications of these results to the problem of drug resistance and adaptive evolution in parasitic and commmensal microorganisms in general.
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              The evolution of drug resistance and the curious orthodoxy of aggressive chemotherapy.

              The evolution of drug-resistant pathogens is a major challenge for 21st century medicine. Drug use practices vigorously advocated as resistance management tools by professional bodies, public health agencies, and medical schools represent some of humankind's largest attempts to manage evolution. It is our contention that these practices have poor theoretical and empirical justification for a broad spectrum of diseases. For instance, rapid elimination of pathogens can reduce the probability that de novo resistance mutations occur. This idea often motivates the medical orthodoxy that patients should complete drug courses even when they no longer feel sick. Yet "radical pathogen cure" maximizes the evolutionary advantage of any resistant pathogens that are present. It could promote the very evolution it is intended to retard. The guiding principle should be to impose no more selection than is absolutely necessary. We illustrate these arguments in the context of malaria; they likely apply to a wide range of infections as well as cancer and public health insecticides. Intuition is unreliable even in simple evolutionary contexts; in a social milieu where in-host competition can radically alter the fitness costs and benefits of resistance, expert opinion will be insufficient. An evidence-based approach to resistance management is required.
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                Author and article information

                Journal
                Evol Med Public Health
                Evol Med Public Health
                emph
                Evolution, Medicine, and Public Health
                Oxford University Press
                2050-6201
                2018
                27 June 2018
                27 June 2018
                : 2018
                : 1
                : 127-137
                Affiliations
                [1 ]Departments of Biology and Entomology, Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA
                [2 ]Department of Biology, Queen’s University, Kingston, ON K7L3N6, Canada
                [3 ]Department of Fogarty, National Institutes of Health, Fogarty International Center, Bethesda, MD, USA
                Author notes
                Corresponding author. Arizona State University, Center for Evolution and Medicine, School of Life Sciences, 427 E. Tyler Mall, Tempe, AZ 85287, USA. Tel: +1-480-434-8323, Fax: 480-727-4457; E-mail: silvie.huijben@ 123456asu.edu

                Present address: Center for Evolution and Medicine, School of Life Sciences, Arizona State University, 427 E. Tyler Mall, Tempe, AZ 85287, USA.

                Present address: Faculty of Biology, Medicine and Health, AV Hill Building, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.

                Article
                eoy016
                10.1093/emph/eoy016
                6061792
                30087774
                022a4484-1b8f-437b-80c2-2e7b536bc4c4
                © The Author(s) 2018. Published by Oxford University Press on behalf of the Foundation for Evolution, Medicine, and Public Health.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 April 2018
                : 18 June 2018
                Page count
                Pages: 11
                Funding
                Funded by: National Institute of General Medical Sciences 10.13039/100000057
                Award ID: R01GM089932
                Award ID: R01AI089819
                Award ID: U19AI089676
                Funded by: National Institute of Allergy and Infectious Diseases 10.13039/100000060
                Categories
                Original Research Article

                drug resistance,cost of resistance,within-host ecology,selection coefficient,epidemiological models,plasmodium chabaudi

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