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1.
Mol Ecol ; 22(24): 5972-82, 2013 Dec.
Article in English | MEDLINE | ID: mdl-24102784

ABSTRACT

We investigate the effect of spatial range expansions on the evolution of fitness when beneficial and deleterious mutations cosegregate. We perform individual-based simulations of 1D and 2D range expansions and complement them with analytical approximations for the evolution of mean fitness at the edge of the expansion. We find that deleterious mutations accumulate steadily on the wave front during range expansions, thus creating an expansion load. Reduced fitness due to the expansion load is not restricted to the wave front, but occurs over a large proportion of newly colonized habitats. The expansion load can persist and represent a major fraction of the total mutation load for thousands of generations after the expansion. The phenomenon of expansion load may explain growing evidence that populations that have recently expanded, including humans, show an excess of deleterious mutations. To test the predictions of our model, we analyse functional genetic diversity in humans and find patterns that are consistent with our model.


Subject(s)
Biological Evolution , Genetic Fitness , Models, Genetic , Mutation , Computer Simulation , Exome/genetics , Genetics, Population , Humans
2.
Heredity (Edinb) ; 111(3): 200-9, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23632894

ABSTRACT

Chromosomal inversions are common in natural populations and are believed to be involved in many important evolutionary phenomena, including speciation, the evolution of sex chromosomes and local adaptation. While recent advances in sequencing and genotyping methods are leading to rapidly increasing amounts of genome-wide sequence data that reveal interesting patterns of genetic variation within inverted regions, efficient simulation methods to study these patterns are largely missing. In this work, we extend the sequential Markovian coalescent, an approximation to the coalescent with recombination, to include the effects of polymorphic inversions on patterns of recombination. Results show that our algorithm is fast, memory-efficient and accurate, making it feasible to simulate large inversions in large populations for the first time. The SMC algorithm enables studies of patterns of genetic variation (for example, linkage disequilibria) and tests of hypotheses (using simulation-based approaches) that were previously intractable.


Subject(s)
Chromosome Inversion , Genetics, Population , Models, Genetic , Algorithms , Computer Simulation , Linkage Disequilibrium , Recombination, Genetic
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