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Simulating natural selection in landscape geneticsAuthor(s): E. L. Landguth; S. A. Cushman; N. Johnson
Source: Molecular Ecology Resources. 12: 363-368.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionLinking landscape effects to key evolutionary processes through individual organism movement and natural selection is essential to provide a foundation for evolutionary landscape genetics. Of particular importance is determining how spatially- explicit, individual-based models differ from classic population genetics and evolutionary ecology models based on ideal panmictic populations in an allopatric setting in their predictions of population structure and frequency of fixation of adaptive alleles. We explore initial applications of a spatially-explicit, individual-based evolutionary landscape genetics program that incorporates all factors - mutation, gene flow, genetic drift and selection - that affect the frequency of an allele in a population. We incorporate natural selection by imposing differential survival rates defined by local relative fitness values on a landscape. Selection coefficients thus can vary not only for genotypes, but also in space as functions of local environmental variability. This simulator enables coupling of gene flow (governed by resistance surfaces), with natural selection (governed by selection surfaces).We validate the individual-based simulations under Wright-Fisher assumptions. We show that under isolation-by-distance processes, there are deviations in the rate of change and equilibrium values of allele frequency. The program provides a valuable tool (CDPOP v1.0; http://cel.dbs.umt.edu/software/CDPOP/) for the study of evolutionary landscape genetics that allows explicit evaluation of the interactions between gene flow and selection in complex landscapes.
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CitationLandguth, E. L.; Cushman, S. A.; Johnson, N. 2012. Simulating natural selection in landscape genetics. Molecular Ecology Resources. 12: 363-368.
Keywordscomputer simulation, fitness surfaces, individual-based, isolation-by-distance, landscape resistance, population genetics, spatially-explicit
- CDPOP: A spatially explicit cost distance population genetics program
- Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern
- Relationships between migration rates and landscape resistance assessed using individual-based simulations
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