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Timing of pathogen adaptation to a multicomponent treatment.

ABSTRACT: The sustainable use of multicomponent treatments such as combination therapies, combination vaccines/chemicals, and plants carrying multigenic resistance requires an understanding of how their population-wide deployment affects the speed of the pathogen adaptation. Here, we develop a stochastic model describing the emergence of a mutant pathogen and its dynamics in a heterogeneous host population split into various types by the management strategy. Based on a multi-type Markov birth and death process, the model can be used to provide a basic understanding of how the life-cycle parameters of the pathogen population, and the controllable parameters of a management strategy affect the speed at which a pathogen adapts to a multicomponent treatment. Our results reveal the importance of coupling stochastic mutation and migration processes, and illustrate how their stochasticity can alter our view of the principles of managing pathogen adaptive dynamics at the population level. In particular, we identify the growth and migration rates that allow pathogens to adapt to a multicomponent treatment even if it is deployed on only small proportions of the host. In contrast to the accepted view, our model suggests that treatment durability should not systematically be identified with mutation cost. We show also that associating a multicomponent treatment with defeated monocomponent treatments can be more durable than associating it with intermediate treatments including only some of the components. We conclude that the explicit modelling of stochastic processes underlying evolutionary dynamics could help to elucidate the principles of the sustainable use of multicomponent treatments in population-wide management strategies intended to impede the evolution of harmful populations.

SUBMITTER: Bourget R

PROVIDER: S-EPMC3749216 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Timing of pathogen adaptation to a multicomponent treatment.

Bourget Romain R Chaumont Loïc L Sapoukhina Natalia N

PloS one 20130821 8

The sustainable use of multicomponent treatments such as combination therapies, combination vaccines/chemicals, and plants carrying multigenic resistance requires an understanding of how their population-wide deployment affects the speed of the pathogen adaptation. Here, we develop a stochastic model describing the emergence of a mutant pathogen and its dynamics in a heterogeneous host population split into various types by the management strategy. Based on a multi-type Markov birth and death pr ...[more]

PMID: 23991006

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Project description:Host-pathogen co-evolutionary dynamics force microbial plant pathogens to constantly develop and adjust specific adaptations to thrive in their plant host, and therefore also act as strong drivers of divergence and speciation in pathogens. Factors that confer host specialization and determine host specificity are very diverse and range from molecular and morphological strategies to metabolic and reproductive adaptations. Identification of these key factors is a major goal in the study of pathogen evolution and may aid the development of sustainable crops and crop protection strategies. We here took a novel experimental approach and conducted comparative microscopy and transcriptome analyses of the closely related, recently diverged fungal pathogens Zymoseptoria tritici, Z. pseudotritici, and Z. ardabiliae that establish compatible and incompatible interactions with wheat. Although infections of the incompatible species induce plant defense response during invasion of stomatal openings, we found a highly conserved early-infection program among the three species. The transcriptional programs of the three pathogens are conserved to a large extent, as only 9.2% of the 8,885 orthologous genes are significantly differentially expressed during initial infection of wheat. The genes up-regulated in the compatible pathogen reflect adaptation to growth in wheat tissue e.g., by re-programming of fungal metabolism. In contrast, genes primarily involved in counteracting cell stress and damage are strongly induced in the incompatible species. Based on the species-specific gene expression profiles, we further identified nine candidate genes encoding putative effectors and host-specificity determinants in Z. tritici. These effectors are strongly induced in the compatible species and may interfere with host immune suppression. We also identify putative necrotrophic effectors which are induced at the onset of necrotrophic growth. Together, the results presented here indicate that host specialization has involved transcriptional adaptation of a relatively small number of genes. Our findings demonstrate the potential comparative analyses of compatible and incompatible infections present for identifying traits involved in pathogen evolution and host specialization.

Dataset Information

Timing of pathogen adaptation to a multicomponent treatment.

Publications

Timing of pathogen adaptation to a multicomponent treatment.

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