Journal of Mathematical Biology

, Volume 61, Issue 2, pp 231–251

Gene expression dynamics in randomly varying environments

Authors

  • Michael W. Smiley
    • Department of MathematicsIowa State University
    • Ecology Evolution and Marine BiologyUniversity of California, Santa Barbara
Open AccessArticle

DOI: 10.1007/s00285-009-0298-z

Cite this article as:
Smiley, M.W. & Proulx, S.R. J. Math. Biol. (2010) 61: 231. doi:10.1007/s00285-009-0298-z

Abstract

A simple model of gene regulation in response to stochastically changing environmental conditions is developed and analyzed. The model consists of a differential equation driven by a continuous time 2-state Markov process. The density function of the resulting process converges to a beta distribution. We show that the moments converge to their stationary values exponentially in time. Simulations of a two-stage process where protein production depends on mRNA concentrations are also presented demonstrating that protein concentration tracks the environment whenever the rate of protein turnover is larger than the rate of environmental change. Single-celled organisms are therefore expected to have relatively high mRNA and protein turnover rates for genes that respond to environmental fluctuations.

Keywords

Gene expressionEnvironmental stochasticityStochastic processStationary distribution

Mathematics Subject Classification (2000)

92C3792C4260G10
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Copyright information

© The Author(s) 2009