Evolution of gene-for-gene systems in metapopulations: the effect of spatial scale of host and pathogen dispersal
Identifieur interne : 001347 ( Main/Exploration ); précédent : 001346; suivant : 001348Evolution of gene-for-gene systems in metapopulations: the effect of spatial scale of host and pathogen dispersal
Auteurs : P. H. Thrall [Australie] ; J. J. Burdon [Australie]Source :
- Plant pathology [ 0032-0862 ] ; 2002.
Descripteurs français
- Pascal (Inist)
- Coévolution, Dispersion, Epidémie, Infection, Relation hôte agent, Résistance microorganisme, Variation spatiale, Virulence, Gène, Echelle spatiale, Métapopulation, Phytopathogène, Plante cultivée, Eucaryote, Procaryote, Spermatophyta, Thallophyta, Etude sur modèle, Etude théorique, Modélisation, Modèle simulation, Analyse spatiale, Diversité génétique, Dynamique population, Epidémiologie, Evolution biologique, Génétique population, Polymorphisme, Structure population, Transmission, Variabilité génétique, Locus, Spore, Système biologique, Système dynamique, Echelle distance, Génotype, Prédiction, Simulation numérique, Modèle biologique, Modèle dynamique, Modèle spatial, Linum usitatissimum, Melampsora lini, Relation gène pour gène.
English descriptors
- KwdEn :
- Coevolution, Cultivated plant, Dispersion, Epidemic, Eucaryote, Gene, Gene for gene relationship, Host agent relation, Infection, Metapopulation, Microorganism resistance, Model study, Modeling, Plant pathogen, Procaryote, Simulation model, Spatial scale, Spatial variation, Spermatophyta, Thallophyta, Theoretical study, Virulence.
Abstract
The concept of gene-for-gene coevolution is a major model for research on disease resistance in crop plants. However, few theoretical or empirical studies have examined such systems in natural situations, and as a consequence, there is little knowledge of how spatial effects are likely to influence the evolution of host resistance and pathogen virulence in gene-for-gene interactions. In this work, a simulation approach was used to investigate the epidemiological and genetic consequences of varying host and pathogen dispersal in metapopulation situations. The results demonstrate clear impacts of dispersal distance on the total number of host and pathogen genotypes that are maintained, as well as on genetic variation at individual host resistance and pathogen virulence loci. Several other important results also emerged from this study. In contrast to the predictions of many earlier nonspatial models, so-called 'super-races' of pathogens do not always evolve and dominate, indicating that it is not necessary to assume costs of resistance or virulence to maintain high levels of polymorphism in biologically realistic situations. The rate of evolution of both resistance and virulence depend on the scale of dispersal, with greater mixing (as a function of dispersal scale) resulting in a faster approach to a dynamic endpoint. The model in this paper also predicts that, despite the greater total genotypic diversity of pathogens across the metapopulation, variation in host resistance will generally be greater than variation in pathogen virulence within local populations.
Affiliations:
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However, few theoretical or empirical studies have examined such systems in natural situations, and as a consequence, there is little knowledge of how spatial effects are likely to influence the evolution of host resistance and pathogen virulence in gene-for-gene interactions. In this work, a simulation approach was used to investigate the epidemiological and genetic consequences of varying host and pathogen dispersal in metapopulation situations. The results demonstrate clear impacts of dispersal distance on the total number of host and pathogen genotypes that are maintained, as well as on genetic variation at individual host resistance and pathogen virulence loci. Several other important results also emerged from this study. In contrast to the predictions of many earlier nonspatial models, so-called 'super-races' of pathogens do not always evolve and dominate, indicating that it is not necessary to assume costs of resistance or virulence to maintain high levels of polymorphism in biologically realistic situations. The rate of evolution of both resistance and virulence depend on the scale of dispersal, with greater mixing (as a function of dispersal scale) resulting in a faster approach to a dynamic endpoint. The model in this paper also predicts that, despite the greater total genotypic diversity of pathogens across the metapopulation, variation in host resistance will generally be greater than variation in pathogen virulence within local populations.</div></front></TEI><affiliations><list><country><li>Australie</li></country></list><tree><country name="Australie"><noRegion><name sortKey="Thrall, P H" sort="Thrall, P H" uniqKey="Thrall P" first="P. H." last="Thrall">P. H. Thrall</name></noRegion><name sortKey="Burdon, J J" sort="Burdon, J J" uniqKey="Burdon J" first="J. J." last="Burdon">J. J. Burdon</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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