期刊文献+

Fitness and entropy production in a cell population dynamics with epigenetic phenotype switching 被引量:1

Fitness and entropy production in a cell population dynamics with epigenetic phenotype switching
原文传递
导出
摘要 Motivated by recent understandings in the stochastic natures of gene expression, biochemical signaling, and spontaneous reversible epigenetic switchings, we study a simple deterministic cell population dynamics in which subpopulations grow with different rates and individual cells can bi-directionally switch between a small number of different epigenetic phenotypes. Two theories in the past, the population dynamics and thermodynamics of master equations, separately defined two important concepts in mathematical terms: thefitness in the former and the (non- adiabatic) entropy production in the latter. Both of them play important roles in the evolution of the cell population dynamics. The switching sustains the variations among the subpopulation growth, thus sustains continuous natural selection. As a form of Price's equation, the fitness increases with (i) natural selection through variations and (ii) a positive covariance between the per capita growth and switching, which represents a Lamarchian-like behavior. A negative covariance balances the natural selection in a fitness steady state —— "the red queen" scenario. At the same time the growth keeps the proportions of subpopulations away from the "intrinsic" switching equilibrium of individual cells, thus leads to a continuous entropy production. A covariance, between the per capita growth rate and the "chemical potential" of subpopulation, counteracts the entropy production. Analytical results are obtained for the limiting cases of growth dominating switching and vice versa. Motivated by recent understandings in the stochastic natures of gene expression, biochemical signaling, and spontaneous reversible epigenetic switchings, we study a simple deterministic cell population dynamics in which subpopulations grow with different rates and individual cells can bi-directionally switch between a small number of different epigenetic phenotypes. Two theories in the past, the population dynamics and thermodynamics of master equations, separately defined two important concepts in mathematical terms: thefitness in the former and the (non- adiabatic) entropy production in the latter. Both of them play important roles in the evolution of the cell population dynamics. The switching sustains the variations among the subpopulation growth, thus sustains continuous natural selection. As a form of Price's equation, the fitness increases with (i) natural selection through variations and (ii) a positive covariance between the per capita growth and switching, which represents a Lamarchian-like behavior. A negative covariance balances the natural selection in a fitness steady state —— "the red queen" scenario. At the same time the growth keeps the proportions of subpopulations away from the "intrinsic" switching equilibrium of individual cells, thus leads to a continuous entropy production. A covariance, between the per capita growth rate and the "chemical potential" of subpopulation, counteracts the entropy production. Analytical results are obtained for the limiting cases of growth dominating switching and vice versa.
作者 Hong Qian
出处 《Frontiers of Electrical and Electronic Engineering in China》 2014年第1期47-53,共7页 中国电气与电子工程前沿(英文版)
关键词 population dynamics fundamental theorem of natural selection DIVERSITY population dynamics fundamental theorem of natural selection diversity
  • 相关文献

参考文献4

二级参考文献189

  • 1R.E. Michod, Darwinian Dynamics: Evolutionary Transitions in Fitness and Individuality, Princeton University Press, Princeton (1999).
  • 2N.H. Barton and P.D. Keightley, Nat. Rev. Gen. 3 (2002) 11.
  • 3W.J. Ewens, Mathematical Population Genetics, Vol. 1: Theoretical Introduction, 2nd ed., Springer-Verlag, New York (2004).
  • 4J.H. Gellispie, Population Genetics: a Concise Guide, 2nd ed., Johns Hopkins University Press, Baltimore (2004).
  • 5D. Waxman and S. Gavrilets, J. Evol. Biol. 18 (2005) 1139.
  • 6P. Ao, Physics of Life Rev. 2 (2005) 117.
  • 7M.W. Blows, J. Evol. Biol. 20 (2007) 1.
  • 8N.G. van Kampen, Stochastic Processes in Physics and Chemistry, Enl. ed., Elsevier, Amsteredam (1992).
  • 9W.T. Coffey, Y.P. Kalmykov, and J.T. Waldron, The Langevin Equation, 2nd ed., World Scientifc, Singapore (2004).
  • 10J.L. Doob, J.L., Classical Potential Theory and Its Probabilistic Counterpart, Springer-Verlag, New York (1984).

共引文献18

同被引文献4

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部