English

Anderson Localization, Non-linearity and Stable Genetic Diversity

Populations and Evolution 2009-11-13 v1 Statistical Mechanics Dynamical Systems Spectral Theory Adaptation and Self-Organizing Systems Quantitative Methods

Abstract

In many models of genotypic evolution, the vector of genotype populations satisfies a system of linear ordinary differential equations. This system of equations models a competition between differential replication rates (fitness) and mutation. Mutation operates as a generalized diffusion process on genotype space. In the large time asymptotics, the replication term tends to produce a single dominant quasispecies, unless the mutation rate is too high, in which case the populations of different genotypes becomes de-localized. We introduce a more macroscopic picture of genotypic evolution wherein a random replication term in the linear model displays features analogous to Anderson localization. When coupled with non-linearities that limit the population of any given genotype, we obtain a model whose large time asymptotics display stable genotypic diversity

Keywords

Cite

@article{arxiv.q-bio/0602027,
  title  = {Anderson Localization, Non-linearity and Stable Genetic Diversity},
  author = {Charles L. Epstein},
  journal= {arXiv preprint arXiv:q-bio/0602027},
  year   = {2009}
}

Comments

25 pages, 8 Figures

R2 v1 2026-07-22T19:25:18.314Z