Computational modeling and dynamical analysis for B. subtilis competence genic regulation circuit with multiple time delays and external noisy regulation

Bacillus subtilis (B. subtilis), a bacterium known to enter a competent state spontaneously, has garnered significant attention due to its intricate internal regulatory mechanisms. This study proposes a six-dimensional continuous delay differential equation (DDE) model incorporating two-time delays...

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Vydáno v:Journal of bioinformatics and computational biology Ročník 23; číslo 2; s. 2550005
Hlavní autoři: Zhao, Na, Liu, Haihong, Yan, Fang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore 01.04.2025
Témata:
Bacillus subtilis - genetics
Bacterial Proteins - genetics
Computational Biology
Computer Simulation
Gene Expression Regulation, Bacterial
Gene Regulatory Networks
Models, Biological
Models, Genetic
Stochastic Processes
noise
oscillation
B. subtilis
Competence
time delays
Hopf bifurcation
ISSN:1757-6334, 1757-6334
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Popis
Shrnutí:Bacillus subtilis (B. subtilis), a bacterium known to enter a competent state spontaneously, has garnered significant attention due to its intricate internal regulatory mechanisms. This study proposes a six-dimensional continuous delay differential equation (DDE) model incorporating two-time delays and a stochastic model that accounts for noise, aimed at delving deeper into the dynamic behaviors of the B. subtilis competence gene regulation circuit. Our investigation reveals that time delays play a crucial role in inducing oscillatory behavior within the continuous DDE model. Analyzing the dynamics of multiple time delays proves to be more intricate than studying a single delay. Furthermore, certain parameter adjustments significantly influence the system's dynamic characteristics. The introduction of noise also triggers oscillations, with the irregular oscillation patterns closely aligning with real-world observations. Intriguingly, the effects of parameters and noise regulation undergo significant changes when time delays are jointly considered. This analysis offers a fresh perspective on understanding B. subtilis competence and provides essential theoretical support for subsequent experimental endeavors in this domain of biomathematics.
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ISSN:1757-6334
1757-6334
DOI:10.1142/S0219720025500052