Mathematical modeling of movement on fitness landscapes.

ABSTRACT: BACKGROUND:Movement of populations on fitness landscapes has been a problem of interest for a long time. While the subject has been extensively developed theoretically, reconciliation of the theoretical work with recent experimental data has not yet happened. In this work, we develop a computational framework and study evolution of the simplest transcription network between a single regulator, R and a single target protein, T. RESULTS:Through our simulations, we track evolution of this transcription network and comment on its dynamics and statistics of this movement. Significantly, we report that there exists a critical parameter which controls the ability of a network to reach the global fitness peak on the landscape. This parameter is the fraction of all permissible values of a biochemical parameter that can be accessed from its current value via a single mutation. CONCLUSIONS:Overall, through this work, we aim to present a general framework for analysis of movement of populations (and particularly regulatory networks) on landscapes.

SUBMITTER: Gerald N 

PROVIDER: S-EPMC6394095 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature