Most Undirected Random Graphs Are Amplifiers of Selection for Birth-Death Dynamics, but Suppressors of Selection for Death-Birth Dynamics.

Laura Hindersin, Arne Traulsen
Author Information
  1. Laura Hindersin: Department of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Plön, Germany.
  2. Arne Traulsen: Department of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Plön, Germany.

Abstract

We analyze evolutionary dynamics on graphs, where the nodes represent individuals of a population. The links of a node describe which other individuals can be displaced by the offspring of the individual on that node. Amplifiers of selection are graphs for which the fixation probability is increased for advantageous mutants and decreased for disadvantageous mutants. A few examples of such amplifiers have been developed, but so far it is unclear how many such structures exist and how to construct them. Here, we show that almost any undirected random graph is an amplifier of selection for Birth-death updating, where an individual is selected to reproduce with probability proportional to its fitness and one of its neighbors is replaced by that offspring at random. If we instead focus on death-Birth updating, in which a random individual is removed and its neighbors compete for the empty spot, then the same ensemble of graphs consists of almost only suppressors of selection for which the fixation probability is decreased for advantageous mutants and increased for disadvantageous mutants. Thus, the impact of population structure on evolutionary dynamics is a subtle issue that will depend on seemingly minor details of the underlying evolutionary process.

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MeSH Term

Algorithms
Biological Evolution
Computational Biology
Models, Biological
Mutation
Population Dynamics
Population Growth

Word Cloud

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