193 research outputs found
Adaptive immunity selects against malaria infection blocking mutations
The mutation responsible for Duffy negativity, which impedes Plasmodium vivax infection, has reached high frequencies in certain human populations. Conversely, mutations capable of blocking the more lethal P. falciparum have not succeeded in malarious zones. Here we present an evolutionary-epidemiological model of malaria which demonstrates that if adaptive immunity against the most virulent effects of malaria is gained rapidly by the host, mutations which prevent infection per se are unlikely to succeed. Our results (i) explain the rarity of strain-transcending P. falciparum infection blocking adaptations in humans; (ii) make the surprising prediction that mutations which block P. falciparum infection are most likely to be found in populations experiencing low or infrequent malaria transmission, and (iii) predict that immunity against some of the virulent effects of P. vivax malaria may be built up over the course of many infections
Insecticide Control of Vector-Borne Diseases: When Is Insecticide Resistance a Problem?
Many of the most dangerous human diseases are transmitted by insect vectors. After decades of repeated insecticide use, all of these vector species have demonstrated the capacity to evolve resistance to insecticides. Insecticide resistance is generally considered to undermine control of vector-transmitted diseases because it increases the number of vectors that survive the insecticide treatment. Disease control failure, however, need not follow from vector control failure. Here, we review evidence that insecticide resistance may have an impact on the quality of vectors and, specifically, on three key determinants of parasite transmission: vector longevity, competence, and behaviour. We argue that, in some instances, insecticide resistance is likely to result in a decrease in vector longevity, a decrease in infectiousness, or in a change in behaviour, all of which will reduce the vectorial capacity of the insect. If this effect is sufficiently large, the impact of insecticide resistance on disease management may not be as detrimental as previously thought. In other instances, however, insecticide resistance may have the opposite effect, increasing the insect's vectorial capacity, which may lead to a dramatic increase in the transmission of the disease and even to a higher prevalence than in the absence of insecticides. Either way—and there may be no simple generality—the consequence of the evolution of insecticide resistance for disease ecology deserves additional attention
Imperfect vaccines and the evolution of pathogen virulence
Vaccines rarely provide full protection from disease. Nevertheless,
partially effective (imperfect) vaccines may be used to protect
both individuals and whole populations.We studied the potential
impact of different types of imperfect vaccines on the evolution
of pathogen virulence (induced host mortality) and the
consequences for public health. Here we show that vaccines
designed to reduce pathogen growth rate and/or toxicity diminish
selection against virulent pathogens. The subsequent evolution
leads to higher levels of intrinsic virulence and hence to more
severe disease in unvaccinated individuals. This evolution can
erode any population-wide benefits such that overall mortality
rates are unaffected, or even increase, with the level of vaccination
coverage. In contrast, infection-blocking vaccines induce no such
effects, and can even select for lower virulence. These findings
have policy implications for the development and use of vaccines
that are not expected to provide full immunity, such as candidate
vaccines for malaria
Lethal mutagenesis and evolutionary epidemiology
The lethal mutagenesis hypothesis states that within-host populations of pathogens can be driven to extinction when the load of deleterious mutations is artificially increased with a mutagen, and becomes too high for the population to be maintained. Although chemical mutagens have been shown to lead to important reductions in viral titres for a wide variety of RNA viruses, the theoretical underpinnings of this process are still not clearly established. A few recent models sought to describe lethal mutagenesis but they often relied on restrictive assumptions. We extend this earlier work in two novel directions. First, we derive the dynamics of the genetic load in a multivariate Gaussian fitness landscape akin to classical quantitative genetics models. This fitness landscape yields a continuous distribution of mutation effects on fitness, ranging from deleterious to beneficial (i.e. compensatory) mutations. We also include an additional class of lethal mutations. Second, we couple this evolutionary model with an epidemiological model accounting for the within-host dynamics of the pathogen. We derive the epidemiological and evolutionary equilibrium of the system. At this equilibrium, the density of the pathogen is expected to decrease linearly with the genomic mutation rate U. We also provide a simple expression for the critical mutation rate leading to extinction. Stochastic simulations show that these predictions are accurate for a broad range of parameter values. As they depend on a small set of measurable epidemiological and evolutionary parameters, we used available information on several viruses to make quantitative and testable predictions on critical mutation rates. In the light of this model, we discuss the feasibility of lethal mutagenesis as an efficient therapeutic strategy
Système génétique, polymorphisme neutre et sélectionné : implications en biologie de la conservation
Evolutionary Epidemiology of Drug-Resistance in Space
The spread of drug-resistant parasites erodes the efficacy of therapeutic
treatments against many infectious diseases and is a major threat of the 21st
century. The evolution of drug-resistance depends, among other things, on how
the treatments are administered at the population level. “Resistance
management” consists of finding optimal treatment strategies that both
reduce the consequence of an infection at the individual host level, and limit
the spread of drug-resistance in the pathogen population. Several studies have
focused on the effect of mixing different treatments, or of alternating them in
time. Here, we analyze another strategy, where the use of the drug varies
spatially: there are places where no one receives any treatment. We find that
such a spatial heterogeneity can totally prevent the rise of drug-resistance,
provided that the size of treated patches is below a critical threshold. The
range of parasite dispersal, the relative costs and benefits of being
drug-resistant compared to being drug-sensitive, and the duration of an
infection with drug-resistant parasites are the main factors determining the
value of this threshold. Our analysis thus provides some general guidance
regarding the optimal spatial use of drugs to prevent or limit the evolution of
drug-resistance
Evolutionary consequences of feedbacks between within-host competition and disease control
Lay Summary: Competition often occurs among diverse parasites within a single host, but control efforts could change its strength. We examined how the interplay between competition and control could shape the evolution of parasite traits like drug resistance and disease severity
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