English

The contribution of statistical physics to evolutionary biology

Populations and Evolution 2015-03-19 v1 Adaptation and Self-Organizing Systems Pattern Formation and Solitons Quantitative Methods

Abstract

Evolutionary biology shares many concepts with statistical physics: both deal with populations, whether of molecules or organisms, and both seek to simplify evolution in very many dimensions. Often, methodologies have undergone parallel and independent development, as with stochastic methods in population genetics. We discuss aspects of population genetics that have embraced methods from physics: amongst others, non-equilibrium statistical mechanics, travelling waves, and Monte-Carlo methods have been used to study polygenic evolution, rates of adaptation, and range expansions. These applications indicate that evolutionary biology can further benefit from interactions with other areas of statistical physics, for example, by following the distribution of paths taken by a population through time.

Keywords

Cite

@article{arxiv.1104.2854,
  title  = {The contribution of statistical physics to evolutionary biology},
  author = {Harold P. de Vladar and Nick H. Barton},
  journal= {arXiv preprint arXiv:1104.2854},
  year   = {2015}
}

Comments

18 pages, 3 figures, glossary. Accepted in Trend in Ecology and Evolution (to appear in print in August 2011)

R2 v1 2026-06-21T17:54:15.211Z