Dynamic fitness landscapes in molecular evolution

@article{Wilke1999DynamicFL,
  title={Dynamic fitness landscapes in molecular evolution},
  author={Claus O. Wilke and Christopher Ronnewinkel and Thomas Martinetz},
  journal={Physics Reports},
  year={1999},
  volume={349},
  pages={395-446}
}

Maximum, minimum, and optimal mutation rates in dynamic environments.

It is found that the optimal mutation rate per genome, k/T , is independent of genome size, a relationship which is observed across broad groups of real organisms.

Polymorphism in rapidly changing cyclic environment.

The impact of the uncovered polymorphism scenario on the models of diversity is exemplified via the rock-paper-scissors dynamics, and also via the prisoner's dilemma in a time-periodic environment.

Optimal mutation rates in dynamic environments: The Eigen model.

Interestingly it is found that the optimum mutation rate in the Eigen model is lower than that in the Crow-Kimura model, and at their optimum mutation rates the corresponding mean fitness in the eigenmodel is lowerthan that inThe Crow- Kimuramodel, suggesting that the mutation process which occurs in parallel to the replication process as in the crow-KimURA model gives an adaptive advantage under changing environment.

Adaptation in simple and complex fitness landscapes

The stationary population distribution in simple, single peak fitness landscapes is discussed at length, with particular emphasis on the error threshold phenomenon.

Digital Evolution in Time-Dependent Fitness Landscapes

The response of populations of digital organisms that adapt to a time-varying fitness landscape of two oscillating peaks is studied, corroborating in general predictions from quasi-species theory in dynamic landscapes such as adaptation to the average fitness landscape at small periods and quasistatic adaptation at large periods.

Digital Evolution in Time-Dependent Fitness

The response of populations of digital organisms that adapt to a time-varying fitness landscape of two oscillating peaks is studied, corroborating in general predictions from quasi-species theory in dynamic landscapes such as adaptation to the average fitness landscape at small periods and quasistatic adaptation at large periods.

Size scaling of mutation avalanches in a model for protein evolution.

The tunably rugged NK-model is used to study avalanche-like events that occur when environmental change causes fitness optima to disappear, and average values of Delta increase logarithmically with system size.

Dynamic fitness and horizontal gene transfer in stochastic evolutionary dynamics

A new model for horizontal gene transfer is provided and it is shown how it drives evolutionary dynamics in populations exhibiting a high or a low competence for HGT, demonstrating how frequently occuring HGT can lead to an evolutionary state where no distinct species can be distinguished.

Error Thresholds in Single-Peak Gaussian Distributed Fitness Landscapes

Based on the Eigen and Crow?Kimura models with a single-peak fitness landscape, we propose the fitness values of all sequence types to be Gaussian distributed random variables to incorporate the
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