I.S.T. Austria, A-3400 Klosterneuburg, Austria.
Trends Ecol Evol. 2011 Aug;26(8):424-32. doi: 10.1016/j.tree.2011.04.002. Epub 2011 May 14.
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. Here, we discuss aspects of population genetics that have embraced methods from physics: non-equilibrium statistical mechanics, travelling waves and Monte-Carlo methods, among others, 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.
两者都处理群体,无论是分子群体还是生物群体,并且都试图在非常多的维度上简化进化。通常,方法论经历了平行和独立的发展,例如群体遗传学中的随机方法。在这里,我们讨论了群体遗传学中采用物理学方法的方面:非平衡统计力学、传播波和蒙特卡罗方法等已被用于研究多基因进化、适应率和范围扩张。这些应用表明,进化生物学可以通过与统计物理的其他领域相互作用进一步受益;例如,通过跟踪种群随时间通过的路径分布。