Evolution in random fitness landscapes: the infinite sites model
Su-Chan Park, Joachim Krug

TL;DR
This paper analyzes the evolution of an asexually reproducing population on uncorrelated, unbounded random fitness landscapes in the infinite genome limit, revealing a novel diluted record process and effects of mutation rate on fitness distribution.
Contribution
It introduces an analytical solution for the infinite population limit and a systematic approximation for the diluted record process in evolving populations.
Findings
Population fitness grows indefinitely with unbounded fitness distributions.
A new diluted record process models fixation events at low mutation rates.
Mutation rate U reduces mean fitness by a factor of 1-U.
Abstract
We consider the evolution of an asexually reproducing population in an uncorrelated random fitness landscape in the limit of infinite genome size, which implies that each mutation generates a new fitness value drawn from a probability distribution . This is the finite population version of Kingman's house of cards model [J.F.C. Kingman, \textit{J. Appl. Probab.} \textbf{15}, 1 (1978)]. In contrast to Kingman's work, the focus here is on unbounded distributions which lead to an indefinite growth of the population fitness. The model is solved analytically in the limit of infinite population size and simulated numerically for finite . When the genome-wide mutation probability is small, the long time behavior of the model reduces to a point process of fixation events, which is referred to as a \textit{diluted record process} (DRP). The DRP is similar to…
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