Limiting fitness distributions in evolutionary dynamics

JOURNAL OF THEORETICAL BIOLOGY

卷:416

Article

Smerlak, Matteo¹  Youssef, Ahmed² 

[1] Perimeter Inst Theoret Phys, 31 Caroline St N, Waterloo, ON N2L 2Y5, Canada

[2] LD Res, Pappelallee 78-79, D-10437 Berlin, Germany

关键词: Evolutionary dynamics;    Limiting distribution;    Fisher fundamental theorem of natural;    selection;   

DOI  :  10.1016/j.jtbi.2017.01.005

来源: Elsevier

【 摘 要 】

Natural selection works on variation in fitness, but how should we measure variation to predict the rate of future evolution? Fisher's fundamental theorem of natural selection provides the short-run answer: the instantaneous rate of growth of a population's mean fitness is its variance in fitness. This identity captures an important feature of the evolutionary process, but, because it does not specify how the variance itself evolves in time, it cannot be used to predict evolutionary dynamics in the long run. In this paper we reconsider the problem of computing evolutionary trajectories from limited statistical information. We identify the feature of fitness distributions which controls their late-time evolution: their (suitably defined) tail indices. We show that the location, scale and shape of the fitness distribution can be predicted far into the future from the measurement of this tail index at some initial time. Unlike the fitness waves studied in the literature, this pattern encompasses both positive and negative selection and is not restricted to rapidly adapting populations. Our results are well supported by numerical simulations, both from the Wright Fisher model and from a less structured genetic algorithm.

【 授权许可】

Free