Amado André, Fernández Lenin, Huang Weini, Ferreira Fernando F, Campos Paulo R A
Evolutionary Dynamics Lab, Department of Physics , Federal University of Pernambuco , 50670-901 Recife, Pernambuco, Brazil.
Department of Evolutionary Theory , Max Planck Institute for Evolutionary Biology , August-Thienemann-Straße 2, 24306 Plön, Germany.
R Soc Open Sci. 2016 Nov 16;3(11):160544. doi: 10.1098/rsos.160544. eCollection 2016 Nov.
The evolutionary mechanisms of energy efficiency have been addressed. One important question is to understand how the optimized usage of energy can be selected in an evolutionary process, especially when the immediate advantage of gathering efficient individuals in an energetic context is not clear. We propose a model of two competing metabolic strategies differing in their resource usage, an efficient strain which converts resource into energy at high efficiency but displays a low rate of resource consumption, and an inefficient strain which consumes resource at a high rate but at low yield. We explore the dynamics in both well-mixed and structured populations. The selection for optimized energy usage is measured by the likelihood that an efficient strain can invade a population of inefficient strains. It is found that the parameter space at which the efficient strain can thrive in structured populations is always broader than observed in well-mixed populations.
能量效率的进化机制已得到探讨。一个重要问题是要理解在进化过程中如何选择能量的优化利用方式，特别是在能量环境中聚集高效个体的直接优势不明确的情况下。我们提出了一个关于两种相互竞争的代谢策略的模型，这两种策略在资源利用上有所不同，一种是高效菌株，它能高效地将资源转化为能量，但资源消耗率较低；另一种是低效菌株，它以高消耗率消耗资源，但产量较低。我们研究了均匀混合种群和结构化种群中的动态变化。通过高效菌株能够侵入低效菌株种群的可能性来衡量对优化能量利用的选择。研究发现，在结构化种群中高效菌株能够茁壮成长的参数空间总是比在均匀混合种群中观察到的更广阔。
