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Emergent bimodality and switch induced by time delays and noises in a synthetic gene circuit

Chun Zhang, Liping Du, Qingshuang Xie, Tonghuan Wang, Chunhua Zeng, Linru Nie, Weilong Duan, Zhenglin Jia and Canjun Wang

Physica A: Statistical Mechanics and its Applications, 2017, vol. 484, issue C, 253-266

Abstract: Based on the kinetic model for obtaining emergent bistability proposed by Tan et al. (2009), the effects of the fluctuations of protein synthesis rate and maximum dilution rate, the cross-correlation between two noises, and the time delay and the strength of the feedback loop in the synthetic gene circuit have been investigated through theoretical analysis and numerical simulation. Our results show that: (i) the fluctuations of protein synthesis rate and maximum dilution rate enhance the emergent bimodality of the probability distribution phenomenon, while the cross-correlation between two noises(λ), the time delay(τ) and the strength of the feedback loop(K) cause it to disappear; and (ii) the mean first passage time(MFPT) as functions of the noise strengths exhibits a maximum, this maximum is called noise-delayed switching (NDS) of the high concentration state. The NDS phenomenon shows that the noise can modify the stability of a metastable system in a counterintuitive way, the system remains in the metastable state for a longer time compared to the deterministic case. And the τ and the K enhances the stability of the ON state. The physical mechanisms for the switch between the ON and OFF states can be explained from the point of view of the effective potential.

Keywords: Emergent bimodality; Time-delayed feedback; Noises; Probability distribution; Switch time (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:484:y:2017:i:c:p:253-266

DOI: 10.1016/j.physa.2017.04.052

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