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      Enhanced Transmission of Drug-Resistant Parasites to Mosquitoes following Drug Treatment in Rodent Malaria

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          Abstract

          The evolution of drug resistant Plasmodium parasites is a major challenge to effective malaria control. In theory, competitive interactions between sensitive parasites and resistant parasites within infections are a major determinant of the rate at which parasite evolution undermines drug efficacy. Competitive suppression of resistant parasites in untreated hosts slows the spread of resistance; competitive release following treatment enhances it. Here we report that for the murine model Plasmodium chabaudi, co-infection with drug-sensitive parasites can prevent the transmission of initially rare resistant parasites to mosquitoes. Removal of drug-sensitive parasites following chemotherapy enabled resistant parasites to transmit to mosquitoes as successfully as sensitive parasites in the absence of treatment. We also show that the genetic composition of gametocyte populations in host venous blood accurately reflects the genetic composition of gametocytes taken up by mosquitoes. Our data demonstrate that, at least for this mouse model, aggressive chemotherapy leads to very effective transmission of highly resistant parasites that are present in an infection, the very parasites which undermine the long term efficacy of front-line drugs.

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          R: A language and environmental for statistical computing

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            Malaria: progress, perils, and prospects for eradication.

            There are still approximately 500 million cases of malaria and 1 million deaths from malaria each year. Yet recently, malaria incidence has been dramatically reduced in some parts of Africa by increasing deployment of anti-mosquito measures and new artemisinin-containing treatments, prompting renewed calls for global eradication. However, treatment and mosquito control currently depend on too few compounds and thus are vulnerable to the emergence of compound-resistant parasites and mosquitoes. As discussed in this Review, new drugs, vaccines, and insecticides, as well as improved surveillance methods, are research priorities. Insights into parasite biology, human immunity, and vector behavior will guide efforts to translate parasite and mosquito genome sequences into novel interventions.
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              Virulence and competitive ability in genetically diverse malaria infections.

              Explaining parasite virulence is a great challenge for evolutionary biology. Intuitively, parasites that depend on their hosts for their survival should be benign to their hosts, yet many parasites cause harm. One explanation for this is that within-host competition favors virulence, with more virulent strains having a competitive advantage in genetically diverse infections. This idea, which is well supported in theory, remains untested empirically. Here we provide evidence that within-host competition does indeed select for high parasite virulence. We examine the rodent malaria Plasmodium chabaudi in laboratory mice, a parasite-host system in which virulence can be easily monitored and competing strains quantified by using strain-specific real-time PCR. As predicted, we found a strong relationship between parasite virulence and competitive ability, so that more virulent strains have a competitive advantage in mixed-strain infections. In transmission experiments, we found that the strain composition of the parasite populations in mosquitoes was directly correlated with the composition of the blood-stage parasite population. Thus, the outcome of within-host competition determined relative transmission success. Our results imply that within-host competition is a major factor driving the evolution of virulence and can explain why many parasites harm their hosts.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                6 June 2012
                : 7
                : 6
                : e37172
                Affiliations
                [1 ]Center for Infectious Disease Dynamics, Departments of Biology and Entomology, The Pennsylvania State University, University Park, Pennsylvania, United States of America
                [2 ]Department of Biology, Queen’s University, Kingston, Ontario, Canada
                [3 ]Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America
                Kenya Medical Research Institute - Wellcome Trust Research Programme, Kenya
                Author notes

                Conceived and designed the experiments: ASB SH AFR. Performed the experiments: ASB KPP DGS BHKC. Analyzed the data: ASB SH WAN. Contributed reagents/materials/analysis tools: WAN. Wrote the paper: ASB SH AFR.

                Article
                PONE-D-11-22463
                10.1371/journal.pone.0037172
                3368907
                22701563
                e155df28-b8dc-49cd-987e-c51022760ff0
                Bell et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 11 November 2011
                : 17 April 2012
                Page count
                Pages: 10
                Categories
                Research Article
                Biology
                Evolutionary Biology
                Evolutionary Ecology
                Genetics
                Immunology
                Microbiology
                Parasitology
                Parasite Evolution
                Quantitative Parasitology
                Vector Biology
                Anopheles
                Mosquitoes
                Host-Pathogen Interaction
                Model Organisms
                Animal Models
                Mouse
                Population Biology
                Population Genetics

                Uncategorized
                Uncategorized

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