A synthetic theory of molecular evolution

0Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

According to the neo-Darwinian view of evolution evolution rate v depends solely on the environment variation rate γ, whereas in the non-Darwinian view evolution rate is determined mainly by the mutation rate μ. We have studied two kinds of population genetics models which exhibit both types of evolution in different parametric regions: one is a dynamical model representing infinite population, and the other is a Markov process model representing a nearly monomorphic finite population. In the infinite population model, after proving general time-derivative and μ-derivative formulas for the population average of quantitative traits, we show that if the mutation rate is adaptively determined, μ must be larger than v in the stationary state. Loads of evolution are obtained in both regions. A high evolution rate such as v = 1 per genome per generation is consistent with Haldane's value of tolerable load if and only if the functional constraint is not large and selection is weak, independent of whether the evolution is neo-Darwinian or non-Darwinian. As the selection intensity increases, v is shown to change discontinuously from nearly μ to γ at the transition point. In the finite population model, the transition of v is not discontinuous, but is very steep. On the other hand, no steep change of polymorphism takes place at the transition point. The steepness of the transition in our model suggests that real molecular evolution can be divided into either neo-Darwinian or non-Darwinian, and that the intermediate type of evolution is rather rare.

Cite

CITATION STYLE

APA

Matsuda, H., & Ishii, K. (2001). A synthetic theory of molecular evolution. In Genes and Genetic Systems (Vol. 76, pp. 149–158). https://doi.org/10.1266/ggs.76.149

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free