English

Adaptive evolution on neutral networks

Biological Physics 2007-05-23 v1 Statistical Mechanics Neural and Evolutionary Computing Adaptation and Self-Organizing Systems Populations and Evolution

Abstract

We study the evolution of large but finite asexual populations evolving in fitness landscapes in which all mutations are either neutral or strongly deleterious. We demonstrate that despite the absence of higher fitness genotypes, adaptation takes place as regions with more advantageous distributions of neutral genotypes are discovered. Since these discoveries are typically rare events, the population dynamics can be subdivided into separate epochs, with rapid transitions between them. Within one epoch, the average fitness in the population is approximately constant. The transitions between epochs, however, are generally accompanied by a significant increase in the average fitness. We verify our theoretical considerations with two analytically tractable bitstring models.

Keywords

Cite

@article{arxiv.physics/0101021,
  title  = {Adaptive evolution on neutral networks},
  author = {Claus O. Wilke},
  journal= {arXiv preprint arXiv:physics/0101021},
  year   = {2007}
}

Comments

16 pages, 4 eps figures, Latex (academic press style file), submitted to the Bulletin of Mathematical Biology