Thermodynamical interpretation of evolutionary dynamics on a fitness landscape in a evolution reactor, I

A theory for describing evolution as adaptive walks by a finite population with M walkers (M > or = 1) on an anisotropic Mt. Fuji-type fitness landscape is presented, from a thermodynamical point of view. 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 demonstrate that the behavior of these theoretical walkers is almost consistent with the thermodynamical schemes. The major conclusions are as follows: (1) an adaptive walk (=evolution) is driven by an evolutionary force in the direction in which free fitness increases; (2) the expectation of the climbing rate obeys an equation analogous to the Einstein relation in Brownian motion; (3) the standard deviation of the climbing rate is a quantity analogous to the mean thermal energy of a particle, kT (x constant). In addition, on the interpretation that the walkers climb the landscape by absorbing 'fitness information' from the surroundings, we succeeded in quantifying the fitness information and formulating a macroscopic scheme from an informational point of view.