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Stochastic model of coliphage lambda regulatory network.

Siyuan Wang·Yuping Zhang·Qi Ouyang
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Abstract

The dynamic properties of the regulatory network governing the choice between lytic and lysogenic growths of coliphage lambda is studied using a Markov chain stochastic model. Our computer simulation confirms the finding by Li et al. [Proc. Natl. Acad. Sci. USA 101, 4781 (2004)] on the dynamics of budding yeast: that the biological stationary states are global attractors; the biological pathways of lytic and lysogenic growths are attracting trajectories; and the network functions are robustly designed against structural perturbations. In addition, our model shows the stochastic switch from lysogen to lytic growth, which has been observed in experiments. A definition of pseudoenergy is introduced in the network dynamics to reveal a transitionlike behavior in the system.

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Bacteriophage lambdaComputer SimulationGene Expression Regulation, ViralModels, BiologicalModels, StatisticalSignal TransductionStochastic ProcessesTranscription, GeneticViral ProteinsJournal ArticleResearch Support, Non-U.S. Gov't

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Siyuan Wang, Yuping Zhang, Qi Ouyang. 2006-04-20. Stochastic model of coliphage lambda regulatory network.. https://doi.org/10.1103/physreve.73.041922

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