Department of Mathematics, Dartmouth College, Hanover, New Hampshire, United States.
Department of Mathematics, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
PLoS Comput Biol. 2020 Nov 5;16(11):e1008402. doi: 10.1371/journal.pcbi.1008402. eCollection 2020 Nov.
Resources are rarely distributed uniformly within a population. Heterogeneity in the concentration of a drug, the quality of breeding sites, or wealth can all affect evolutionary dynamics. In this study, we represent a collection of properties affecting the fitness at a given location using a color. A green node is rich in resources while a red node is poorer. More colors can represent a broader spectrum of resource qualities. For a population evolving according to the birth-death Moran model, the first question we address is which structures, identified by graph connectivity and graph coloring, are evolutionarily equivalent. We prove that all properly two-colored, undirected, regular graphs are evolutionarily equivalent (where "properly colored" means that no two neighbors have the same color). We then compare the effects of background heterogeneity on properly two-colored graphs to those with alternative schemes in which the colors are permuted. Finally, we discuss dynamic coloring as a model for spatiotemporal resource fluctuations, and we illustrate that random dynamic colorings often diminish the effects of background heterogeneity relative to a proper two-coloring.
资源在人群中很少均匀分布。药物浓度、繁殖地质量或财富的异质性都可能影响进化动态。在这项研究中,我们使用颜色表示影响特定位置适应性的一组特性。绿色节点富含资源,而红色节点则较为贫瘠。更多的颜色可以代表更广泛的资源质量谱。对于根据出生-死亡 Moran 模型进化的种群,我们首先要解决的问题是哪些由图连通性和图着色确定的结构在进化上是等价的。我们证明了所有适当的双色、无向、正则图都是进化等价的(其中“适当着色”是指没有两个邻居具有相同的颜色)。然后,我们将背景异质性对适当双色图的影响与使用颜色置换的替代方案进行了比较。最后,我们讨论了动态着色作为时空资源波动的模型,并说明随机动态着色通常会降低背景异质性的影响,相对于适当的双色。