Stationary frequencies and mixing times for neutral drift processes with spatial structure

Abstract

We study a general setting of neutral evolution in which the population is of finite, constant size and can have spatial structure. Mutation leads to different genetic types (traits), which can be discrete or continuous. Under minimal assumptions, we show that the marginal trait distributions of the evolutionary process, which specify the probability that any given individual has a certain trait, all converge to the stationary distribution of the mutation process. In particular, the stationary frequencies of traits in the population are independent of its size, spatial structure and evolutionary update rule, and these frequencies can be calculated by evaluating a simple stochastic process describing a population of size one (i.e. the mutation process itself). We conclude by analysing mixing times, which characterize rates of convergence of the mutation process along the lineages, in terms of demographic variables of the evolutionary process.

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 01, 2018
Source ID
10.1098/rspa.2018.0238

Entities

People

  • Alex McAvoy
  • Ben Adlam
  • Benjamin Allen
  • Martin A. Nowak

Organizations

  • Emmanuel College
  • Harvard University
  • National Science Foundation
  • Office of Naval Research

Tags

Fields of Study

  • Biology
  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Organizational Psychology.

Technology Areas

  • Biotechnology