Multidimensional (Co)Evolutionary Stability
| العنوان: | Multidimensional (Co)Evolutionary Stability |
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| المؤلفون: | Florence Débarre, Scott L. Nuismer, Michael Doebeli |
| المصدر: | The American Naturalist. 184:158-171 |
| بيانات النشر: | University of Chicago Press, 2014. |
| سنة النشر: | 2014 |
| مصطلحات موضوعية: | Stability (learning theory), Epistasis, Genetic, Quantitative genetics, Environment, Models, Theoretical, Biology, Adaptation, Physiological, Biological Evolution, Genetics, Population, Phenotype, Evolutionary biology, Trait, Epistasis, Convergence (relationship), Selection, Genetic, Ecology, Evolution, Behavior and Systematics, Coevolution, Selection (genetic algorithm), Curse of dimensionality |
| الوصف: | The complexity of biotic and abiotic environmental conditions is such that the fitness of individuals is likely to depend on multiple traits. Using a synthetic framework of phenotypic evolution that draws from adaptive dynamics and quantitative genetics approaches, we explore how the number of traits under selection influences convergence stability and evolutionary stability in models for coevolution in multidimensional phenotype spaces. Our results allow us to identify three different effects of trait dimensionality on stability. First are (i) a "combinatorial effect": without epistasis and genetic correlations, a higher number of trait dimensions offers more opportunities for equilibria to be unstable; and (ii) epistatic interactions, that is, fitness interactions between traits, which tend to destabilize evolutionary equilibria; this effect increases with the dimension of phenotype space. These first two effects influence both convergence stability and evolutionary stability, while (iii) genetic correlations (due, e.g., to pleiotropy or linkage disequilibrium) can affect only convergence stability. We illustrate the general prediction that increased dimensionality destabilizes evolutionary equilibria using examples drawn from well-studied classical models of frequency-dependent competition for resources, adaptation to a spatially heterogeneous environment, and antagonistic coevolution. In addition, our analyses show that increased dimensionality can favor diversification, for example, in the form of local adaptation, as well as evolutionary escape. |
| تدمد: | 1537-5323 0003-0147 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f99653b5a82297834ddf987d103aa0 https://doi.org/10.1086/677137 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....31f99653b5a82297834ddf987d103aa0 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15375323 00030147 |
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