Abstract:Species interactions commonly coevolve as complex geographic mosaics of populations shaped by differences in local selection and gene flow. We use a haploid matching-alleles model for coevolution to evaluate how a pair of species coevolves when fitness interactions are reciprocal in some locations ("hot spots") but not in others ("cold spots"). Our analyses consider mutualistic and antagonistic interspecific interactions and a variety of gene flow patterns between hot and cold spots. We found that hot and cold… Show more
“…A number of studies have focused on the geographic mosaic theory (Thompson, 1994) and exploration of the consequences of coevolutionary hot spots and selection mosaics (e.g. Nuismer et al, 1999Nuismer et al, , 2000Gomulkiewicz et al, 2000). Despite the array of underlying ecological and genetic assumptions represented, an overarching theme linking these studies is that spatial structure can result in coevolutionary outcomes that simply cannot occur in isolated local populations.…”
Section: Theoretical Studies Of Coevolution In Space and Timementioning
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 genefor-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.
“…A number of studies have focused on the geographic mosaic theory (Thompson, 1994) and exploration of the consequences of coevolutionary hot spots and selection mosaics (e.g. Nuismer et al, 1999Nuismer et al, , 2000Gomulkiewicz et al, 2000). Despite the array of underlying ecological and genetic assumptions represented, an overarching theme linking these studies is that spatial structure can result in coevolutionary outcomes that simply cannot occur in isolated local populations.…”
Section: Theoretical Studies Of Coevolution In Space and Timementioning
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 genefor-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.
“…For instance, Gomulkiewicz et al (2000) show that the spatial distribution of 'hot' and 'cold' spots can influence strongly the coevolutionary dynamics. Gene flow, natural selection and habitat size were also shown to influence evolution of interactionrelated characters, and to be crucial determinants of an appropriate geographical scale for examining coevolutionary changes (Nuismer et al, 1999).…”
Section: Geographic Landscape Of Interactionsmentioning
confidence: 99%
“…Eventually, elucidation of selective forces shaping resistance evolution requires joint analysis of the geographic distribution and dynamics of host and enemy populations. The characterisation of the geographic mosaics of selection is likely to play a crucial role in the interpretation of molecular diversity at resistance genes (Gomulkiewicz et al, 2000;Thompson and Cunningham, 2002).…”
Section: Guidelines For Analysis Of Molecular Diversity At Interactiomentioning
Molecular data regarding the diversity of plant loci involved in resistance to herbivores or pathogens are becoming increasingly available. These genes demonstrate variable patterns of diversity, suggesting that they differ in their evolutionary history. In parallel, the study of natural variation for resistance, generally conducted at the phenotypic level, has shown that resistance does not evolve solely under selection pressures exerted by enemies. Metapopulation dynamics and other ecological characteristics of interacting species also appear to have a large impact on resistance evolution. Until now, studies of resistance at the molecular level have been conducted separately from ecological studies in extant populations. Future progress requires an evolutionary approach integrating both molecular and ecological aspects of resistance evolution. Such an approach will contribute greatly to our understanding of the evolution of molecular diversity at loci involved in biotic stress.
“…Global change may result in a changed pattern of coevolutionary hot and cold spots, as Xuctuations of temperature can aVect host and parasite genotypes into opposite directions (Gomulkiewicz et al 2000). This is likely to disrupt species interactions and evolutionary equilibriums.…”
Extreme events associated with global change will impose increasing stress on coastal organisms. How strong biological interactions such as the host-parasite arms-race are modulated by environmental change is largely unknown. The immune system of invertebrates, in particular phagocytosis and phenoloxidase activity response are key defence mechanisms against parasites, yet they may be sensitive to environmental perturbations. We here simulated an extreme event that mimicked the European heat wave in 2003 to investigate the eVect of environmental change on the immunocompetence of the mesograzer Idotea baltica. Unlike earlier studies, our experiment aimed at simulation of the natural situation as closely as possible by using long acclimation, a slow increase in temperature and a natural community setting including the animals' providence with natural food sources (Zostera marina and Fucus vesiculosus). Our results demonstrate that a simulated heat wave results in decreased immunocompetence of the mesograzer Idotea baltica, in particular a drop of phagocytosis by 50%. This suggests that global change has the potential to signiWcantly aVect host-parasite interactions.
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