Marrec Loïc, Lamberti Irene, Bitbol Anne-Florence
Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratoire Jean Perrin (UMR 8237), F-75005 Paris, France.
Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
Phys Rev Lett. 2021 Nov 19;127(21):218102. doi: 10.1103/PhysRevLett.127.218102.
A key question in evolution is how likely a mutant is to take over. This depends on natural selection and on stochastic fluctuations. Population spatial structure can impact mutant fixation probabilities. We introduce a model for structured populations on graphs that generalizes previous ones by making migrations independent of birth and death. We demonstrate that by tuning migration asymmetry, the star graph transitions from amplifying to suppressing natural selection. The results from our model are universal in the sense that they do not hinge on a modeling choice of microscopic dynamics or update rules. Instead, they depend on migration asymmetry, which can be experimentally tuned and measured.
进化中的一个关键问题是突变体占据主导地位的可能性有多大。这取决于自然选择和随机波动。种群空间结构会影响突变体的固定概率。我们引入了一种用于图上结构化种群的模型，该模型通过使迁移独立于出生和死亡来推广先前的模型。我们证明，通过调整迁移不对称性，星型图会从放大自然选择转变为抑制自然选择。我们模型的结果具有普遍性，因为它们不依赖于微观动力学或更新规则的建模选择。相反，它们取决于迁移不对称性，而迁移不对称性可以通过实验进行调整和测量。
