title: Spatial structure of ecological opportunity drives adaptation in a bacterium.
abstract: Abundant ecological opportunity is thought to drive adaptation and diversification. The presence of multiple opportunities leads to divergent selection, which can slow adaptation when niche-specific beneficial mutations have antagonistically pleiotropic effects. Alternately, competition for multiple opportunities can generate divergent selection, which leads to high rates of adaptive differentiation. Which outcome occurs may depend on the spatial structure of those ecological opportunities. In a mixture of resources, competition for multiple opportunities can drive divergent selection; however, if each resource is available in a spatially distinct patch, simultaneous competition for multiple opportunities cannot occur. We report the effects of the extent and spatial structure of ecological opportunity on the evolutionary dynamics of populations of Pseudomonas fluorescens over 1,000 generations. We varied the extent of ecological opportunity by varying the number of sugar resources (mannose, glucose, and xylose), and we varied spatial structure by providing resources in either mixtures or spatially distinct patches. We saw that a particularly novel resource (xylose) drove the rate of adaptation when provided in a mixture but had no effect on diversity. Instead, we saw the evolution of a single adaptive strategy that differed with respect to phenotype and degree of specialization, depending on both the extent and the spatial structure of ecological opportunity.
authors: Department of Biology and Centre for Advanced Research in Environmental Genomics, University of Ottawa, Ontario K1N 6N5, Canada. susan.bailey@uottawa.ca
authors: Susan F
authors: SF
authors: Bailey
authors: Rees
authors: R
authors: Kassen
mesh_terms: D000222:Adaptation, Physiological; D005075:Biological Evolution; D050260:Carbohydrate Metabolism; D017753:Ecosystem; D014644:Genetic Variation; D011551:Pseudomonas fluorescens / Q000235:genetics / Q000502:physiology*; D012641:Selection, Genetic; D013997:Time Factors