title: Thermodynamical interpretation of evolutionary dynamics on a fitness landscape in an evolution reactor, II.
abstract: In our previous report [Aita, T., Morinaga, S., Hosimi, Y., 2004. Thermodynamical interpretation of evolutionary dynamics on a fitness landscape in an evolution reactor I. Bull. Math. Biol. 66, 1371-1403], an analogy between thermodynamics and adaptive walks on a Mt. Fuji-type fitness landscape in an artificial selection system was presented. Introducing the 'free fitness' as the sum of a fitness term and an entropy term and 'evolutionary force' as the gradient of free fitness on a fitness coordinate, we demonstrated that the adaptive walk (=evolution) is driven by the evolutionary force in the direction in which free fitness increases. In this report, we examine the effect of various modifications of the original model on the properties of the adaptive walk. The modifications were as follows: first, mutation distance d was distributed obeying binomial distribution; second, the selection process obeyed the natural selection protocol; third, ruggedness was introduced to the landscape according to the NK model; fourth, a noise was included in the fitness measurement. The effect of each modification was described in the same theoretical framework as the original model by introducing 'effective' quantities such as the effective mutation distance or the effective screening size.
authors.affiliation: Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.
authors.forename: Takuyo
authors.initials: T
authors.lastname: Aita
authors.forename: Shunichi
authors.initials: S
authors.lastname: Morinaga
authors.forename: Yuzuru
authors.initials: Y
authors.lastname: Husimi
mesh_terms: D000465:Algorithms; D000818:Animals; D019143:Evolution, Molecular; D006801:Humans; D008957:Models, Genetic; D009154:Mutation / Q000235:genetics; D012641:Selection, Genetic; D013816:Thermodynamics