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Yet another recent study of adaptation in large yeast populations did not observe that the speed of adaptation decreased during adaption under conditions where multiple mutations were presumed to be pervasive, and found that variation in fitness was higher at higher Nμb, supporting the multiple mutation model of adaptation [ 9].
Genetic exchange can increase the speed of adaptation by bringing adaptive gene complexes together (Fisher 1930; Muller 1932) and halting the deleterious action of Muller's ratchet (Muller 1964), while complementation can mask the fitness effects of deleterious mutations (Mindich et al. 1985; Cicin-Sain et al. 2005).
This supports the intuitive understanding that if more beneficial mutations are accessible, the population size that optimizes the trade-off between the speed of adaptation and the magnitude of the adaptive response shifts towards larger populations.
In large populations, or when the mutation rate toward adaptive alleles is high, adaptation can be fast, whereas in small populations the speed of adaptation will often be limited by the availability of adaptive mutations.
14– 16 These are together with, for instance, mutation rates and population size key parameters that we expect to affect the supply of new adaptive mutations in a population and, therefore, govern its speed of adaptation.
The speed of adaptation is determined by three events.
Therefore, the speed of adaptation is substantially reduced.
The speed of adaptation can be controlled by the asymptotic memory length, defined by [7, 25].
We investigate how landscape structure affects the speed of adaptation in a spatially structured population model.
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We quantify the speed V of adaptation by the mean fitness increase per generation.
This speed limit of adaptation and its dependence on parameters were not revealed in a previous study (Gordo and Campos 2006), seemingly because too small habitats were simulated.
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