Literature DB >> 10643740

Limit cycle models for circadian rhythms based on transcriptional regulation in Drosophila and Neurospora.

J C Leloup1, D Gonze, A Goldbeter.   

Abstract

We examine theoretical models for circadian oscillations based on transcriptional regulation in Drosophila and Neurospora. For Drosophila, the molecular model is based on the negative feedback exerted on the expression of the per and tim genes by the complex formed between the PER and TIM proteins. For Neurospora, similarly, the model relies on the feedback exerted on the expression of the frq gene by its protein product FRQ. In both models, sustained rhythmic variations in protein and mRNA levels occur in continuous darkness, in the form of limit cycle oscillations. The effect of light on circadian rhythms is taken into account in the models by considering that it triggers degradation of the TIM protein in Drosophila, and frq transcription in Neurospora. When incorporating the control exerted by light at the molecular level, we show that the models can account for the entrainment of circadian rhythms by light-dark cycles and for the damping of the oscillations in constant light, though such damping occurs more readily in the Drosophila model. The models account for the phase shifts induced by light pulses and allow the construction of phase response curves. These compare well with experimental results obtained in Drosophila. The model for Drosophila shows that when applied at the appropriate phase, light pulses of appropriate duration and magnitude can permanently or transiently suppress circadian rhythmicity. We investigate the effects of the magnitude of light-induced changes on oscillatory behavior. Finally, we discuss the common and distinctive features of circadian oscillations in the two organisms.

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Year:  1999        PMID: 10643740     DOI: 10.1177/074873099129000948

Source DB:  PubMed          Journal:  J Biol Rhythms        ISSN: 0748-7304            Impact factor:   3.182


  81 in total

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3.  Gates and oscillators: a network model of the brain clock.

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5.  Spontaneous synchronization of coupled circadian oscillators.

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6.  Fractal stochastic modeling of spiking activity in suprachiasmatic nucleus neurons.

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7.  Circuit topology and the evolution of robustness in two-gene circadian oscillators.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-08       Impact factor: 11.205

8.  A model for the circadian rhythm of cyanobacteria that maintains oscillation without gene expression.

Authors:  Gen Kurosawa; Kazuyuki Aihara; Yoh Iwasa
Journal:  Biophys J       Date:  2006-06-23       Impact factor: 4.033

9.  Isochron-based phase response analysis of circadian rhythms.

Authors:  Rudiyanto Gunawan; Francis J Doyle
Journal:  Biophys J       Date:  2006-06-30       Impact factor: 4.033

10.  Molecular mechanism of suppression of circadian rhythms by a critical stimulus.

Authors:  Guocun Huang; Lixin Wang; Yi Liu
Journal:  EMBO J       Date:  2006-10-26       Impact factor: 11.598

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