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The traveling-wave approach to asexual evolution: Muller's ratchet and speed of adaptation.
Title | The traveling-wave approach to asexual evolution: Muller's ratchet and speed of adaptation. |
Publication Type | Journal Article |
Year of Publication | 2008 |
Authors | IM Rouzine, Brunet, E, Wilke, CO |
Journal | Theor Popul Biol |
Volume | 73 |
Issue | 1 |
Pagination | 24-46 |
Date Published | 2008 Feb |
ISSN | 0040-5809 |
Keywords | Adaptation, Physiological, Animals, Biological Evolution, Genetics, Population, Models, Statistical, Models, Theoretical, Plants, Population Dynamics, Reproduction, Asexual, Selection, Genetic, Stochastic Processes, Viruses |
Abstract | We use traveling-wave theory to derive expressions for the rate of accumulation of deleterious mutations under Muller's ratchet and the speed of adaptation under positive selection in asexual populations. Traveling-wave theory is a semi-deterministic description of an evolving population, where the bulk of the population is modeled using deterministic equations, but the class of the highest-fitness genotypes, whose evolution over time determines loss or gain of fitness in the population, is given proper stochastic treatment. We derive improved methods to model the highest-fitness class (the stochastic edge) for both Muller's ratchet and adaptive evolution, and calculate analytic correction terms that compensate for inaccuracies which arise when treating discrete fitness classes as a continuum. We show that traveling-wave theory makes excellent predictions for the rate of mutation accumulation in the case of Muller's ratchet, and makes good predictions for the speed of adaptation in a very broad parameter range. We predict the adaptation rate to grow logarithmically in the population size until the population size is extremely large. |
DOI | 10.1016/j.tpb.2007.10.004 |
Alternate Journal | Theor Popul Biol |
PubMed ID | 18023832 |
PubMed Central ID | PMC2246079 |
Grant List | R01 AI063926-02 / AI / NIAID NIH HHS / United States R01 AI065960 / AI / NIAID NIH HHS / United States R01AI065960 / AI / NIAID NIH HHS / United States R01 AI0639236 / AI / NIAID NIH HHS / United States |