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Natural Selection Fails to Optimize Mutation Rates for Long-Term Adaptation on Rugged Fitness Landscapes

2008

The rate of mutation is central to evolution. Mutations are required for adaptation, yet most mutations with phenotypic effects are deleterious. As a consequence, the mutation rate that maximizes adaptation will be some intermediate value. Here, we used digital organisms to investigate the ability of natural selection to adjust and optimize mutation rates. We assessed the optimal mutation rate by empirically determining what mutation rate produced the highest rate of adaptation. Then, we allowed mutation rates to evolve, and we evaluated the proximity to the optimum. Although we chose conditions favorable for mutation rate optimization, the evolved rates were invariably far below the optimu…

0106 biological sciencesMutation rateTime FactorsDigital organismsFitness landscapeQH301-705.5Biology010603 evolutionary biology01 natural sciencesCellular and Molecular Neuroscience03 medical and health sciences0302 clinical medicineGeneticsComputer SimulationBiology (General)Selection GeneticMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biology0303 health sciencesEvolutionary BiologyNatural selectionEcologyModels GeneticComputational Biology15. Life on landAdaptation PhysiologicalBiological EvolutionComputational Biology/Evolutionary ModelingReplication fidelityAsexual populationsEvolvabilityComputational Theory and MathematicsEvolutionary biologyModeling and SimulationViral evolutionMutation (genetic algorithm)MutationDNA Mismatch repairAdaptationAvida030217 neurology & neurosurgeryResearch Article
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