A stochastic model for circadian rhythms from coupled ultradian oscillators

<p>Abstract</p> <p>Background</p> <p>Circadian rhythms with varying components exist in organisms ranging from humans to cyanobacteria. A simple evolutionarily plausible mechanism for the origin of such a variety of circadian oscillators, proposed in earlier work, invol...

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Main Authors: Illner Reinhard, Gibson Richard, Edwards Roderick, Paetkau Verner
Format: Article
Language:English
Published: BMC 2007-01-01
Series:Theoretical Biology and Medical Modelling
Online Access:http://www.tbiomed.com/content/4/1/1
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spelling doaj-4952c0233f554ccf8047173bc61954752020-11-25T01:13:43ZengBMCTheoretical Biology and Medical Modelling1742-46822007-01-0141110.1186/1742-4682-4-1A stochastic model for circadian rhythms from coupled ultradian oscillatorsIllner ReinhardGibson RichardEdwards RoderickPaetkau Verner<p>Abstract</p> <p>Background</p> <p>Circadian rhythms with varying components exist in organisms ranging from humans to cyanobacteria. A simple evolutionarily plausible mechanism for the origin of such a variety of circadian oscillators, proposed in earlier work, involves the non-disruptive coupling of pre-existing ultradian transcriptional-translational oscillators (TTOs), producing "beats," in individual cells. However, like other TTO models of circadian rhythms, it is important to establish that the inherent stochasticity of the protein binding and unbinding does not invalidate the finding of clear oscillations with circadian period.</p> <p>Results</p> <p>The TTOs of our model are described in two versions: 1) a version in which the activation or inhibition of genes is regulated stochastically, where the 'unoccupied" (or "free") time of the site under consideration depends on the concentration of a protein complex produced by another site, and 2) a deterministic, "time-averaged" version in which the switching between the "free" and "occupied" states of the sites occurs so rapidly that the stochastic effects average out. The second case is proved to emerge from the first in a mathematically rigorous way. Numerical results for both scenarios are presented and compared.</p> <p>Conclusion</p> <p>Our model proves to be robust to the stochasticity of protein binding/unbinding at experimentally determined rates and even at rates several orders of magnitude slower. We have not only confirmed this by numerical simulation, but have shown in a mathematically rigorous way that the time-averaged deterministic system is indeed the fast-binding-rate limit of the full stochastic model.</p> http://www.tbiomed.com/content/4/1/1
collection DOAJ
language English
format Article
sources DOAJ
author Illner Reinhard
Gibson Richard
Edwards Roderick
Paetkau Verner
spellingShingle Illner Reinhard
Gibson Richard
Edwards Roderick
Paetkau Verner
A stochastic model for circadian rhythms from coupled ultradian oscillators
Theoretical Biology and Medical Modelling
author_facet Illner Reinhard
Gibson Richard
Edwards Roderick
Paetkau Verner
author_sort Illner Reinhard
title A stochastic model for circadian rhythms from coupled ultradian oscillators
title_short A stochastic model for circadian rhythms from coupled ultradian oscillators
title_full A stochastic model for circadian rhythms from coupled ultradian oscillators
title_fullStr A stochastic model for circadian rhythms from coupled ultradian oscillators
title_full_unstemmed A stochastic model for circadian rhythms from coupled ultradian oscillators
title_sort stochastic model for circadian rhythms from coupled ultradian oscillators
publisher BMC
series Theoretical Biology and Medical Modelling
issn 1742-4682
publishDate 2007-01-01
description <p>Abstract</p> <p>Background</p> <p>Circadian rhythms with varying components exist in organisms ranging from humans to cyanobacteria. A simple evolutionarily plausible mechanism for the origin of such a variety of circadian oscillators, proposed in earlier work, involves the non-disruptive coupling of pre-existing ultradian transcriptional-translational oscillators (TTOs), producing "beats," in individual cells. However, like other TTO models of circadian rhythms, it is important to establish that the inherent stochasticity of the protein binding and unbinding does not invalidate the finding of clear oscillations with circadian period.</p> <p>Results</p> <p>The TTOs of our model are described in two versions: 1) a version in which the activation or inhibition of genes is regulated stochastically, where the 'unoccupied" (or "free") time of the site under consideration depends on the concentration of a protein complex produced by another site, and 2) a deterministic, "time-averaged" version in which the switching between the "free" and "occupied" states of the sites occurs so rapidly that the stochastic effects average out. The second case is proved to emerge from the first in a mathematically rigorous way. Numerical results for both scenarios are presented and compared.</p> <p>Conclusion</p> <p>Our model proves to be robust to the stochasticity of protein binding/unbinding at experimentally determined rates and even at rates several orders of magnitude slower. We have not only confirmed this by numerical simulation, but have shown in a mathematically rigorous way that the time-averaged deterministic system is indeed the fast-binding-rate limit of the full stochastic model.</p>
url http://www.tbiomed.com/content/4/1/1
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