Emergence of coherent oscillations in stochastic models for circadian rhythms

被引:22
|
作者
Gonze, D [1 ]
Halloy, J [1 ]
Goldbeter, A [1 ]
机构
[1] Free Univ Brussels, Fac Sci, Unite Chronobiol Theor, B-1050 Brussels, Belgium
关键词
circadian rhythms; stochastic simulations; molecular noise;
D O I
10.1016/j.physa.2004.04.082
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Most living organisms have developed the capability of generating autonomously sustained oscillations with a period close to 24 h. The mechanism responsible for these circadian rhythms relies on the negative regulation exerted by a protein on the expression of its own gene. Deterministic models for circadian rhythms account for the occurrence of autonomous oscillations of the limit cycle type, for their entrainment by light-dark cycles, and for their phase shifting by light pulses. Such models, however, do not take into consideration the molecular fluctuations which arise when the number of molecules involved in the regulatory mechanism is low. Here we resort to a stochastic description of a core model for circadian rhythms to study the emergence of coherent oscillations in gene expression in the presence of molecular noise. We show that despite the "bar code" pattern of gene activation, robust circadian oscillations can be observed. Simulations of the deterministic, fully developed version of the circadian model indicate, however, that sustained oscillations only emerge above a critical value of the rate constants characterizing the reversible binding of repressor to the gene, while below this value the system evolves towards an excitable steady state. This explains why, depending on whether or not the critical value of these rate constants is exceeded, stochastic simulations of the model produce coherent oscillations or very noisy oscillations with a highly variable period. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:221 / 233
页数:13
相关论文
共 50 条
  • [1] Stochastic models for circadian oscillations: Emergence of a biological rhythm
    Gonze, D
    Halloy, J
    Goldbeter, A
    INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, 2004, 98 (02) : 228 - 238
  • [2] Deterministic and stochastic models for circadian rhythms
    Gonze, D
    Halloy, J
    Goldbeter, A
    PATHOLOGIE BIOLOGIE, 2003, 51 (04): : 227 - 230
  • [3] Deterministic Versus Stochastic Models for Circadian Rhythms
    D. Gonze
    J. Halloy
    A. Goldbeter
    Journal of Biological Physics, 2002, 28 : 637 - 653
  • [4] Deterministic versus stochastic models for circadian rhythms
    Gonze, D
    Halloy, J
    Goldbeter, A
    JOURNAL OF BIOLOGICAL PHYSICS, 2002, 28 (04) : 637 - 653
  • [5] Stochastic kinetic analysis of transcriptional feedback models for circadian rhythms
    Zak, DE
    Doyle, FJ
    Vlachos, DG
    Schwaber, JS
    PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2001, : 849 - 854
  • [6] Stochastic resonance in circadian rhythms
    Sriram, K
    Gopinathan, MS
    THEORETICAL CHEMISTRY ACCOUNTS, 2005, 114 (1-3) : 46 - 51
  • [7] Stochastic synchronization of circadian rhythms
    Singh, RajKumar Brojen
    Singh, Vikram
    Ramaswamy, Ram
    JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2010, 23 (05) : 978 - 988
  • [8] Stochastic synchronization of circadian rhythms
    RajKumar Brojen Singh
    Vikram Singh
    Ram Ramaswamy
    Journal of Systems Science and Complexity, 2010, 23 : 978 - 988
  • [9] Stochastic Synchronization of Circadian Rhythms
    Singh, R. K. Brojen
    Ramaswamy, Ram
    OPTIMIZATION AND SYSTEMS BIOLOGY, 2009, 11 : 276 - +
  • [10] Stochastic resonance in circadian rhythms
    K. Sriram
    M.S. Gopinathan
    Theoretical Chemistry Accounts, 2005, 114 : 46 - 51