A quantitative study of gene regulatory pathways in Bacillus subtilis for virulence and competence phenotype by quorum sensing.

Systems and Synthetic Biology Pub Date : 2013-06-01 Epub Date: 2013-03-05 DOI:10.1007/s11693-013-9105-7
Ashwani Kumar, Tiratha Raj Singh
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引用次数: 6

Abstract

Quorum sensing (QS) is a process which allows a population of bacteria to coordinately regulate gene expression of their entire community. Bacillus subtilis is a soil organism which uses QS to alternate between competence for DNA uptake and sporulation. We propose a model to describe the components involved in QS and to analyze reaction species involved in the regulation of QS machinery. We targeted only those QS phenotypes for which the genetic organization and molecular characterization of the components are fully elucidated. We have analyzed simulations for concentration of different species involved in competence as well as sporulation pathways at diverse time period using quantitative methods. It was observed that there is possibility of achieving different measurement from reactions taken place between species by applying irreversible Michaelis-Menten kinetic law. We obtain variation in measurement on changing parameters such as concentrations ranging from 0.3 to 50 μM in stepwise manner by setting end time in the range of 0.1-100 ms. Additionally we observe covariance between different reaction species involved in QS by fluctuating their quantities in real-time simulations. Our model mimics correctly the phenotype for competence and virulence. We concluded that time factor play major role to determine rate kinetics of diverse reaction species as compared to their concentrations and support the hypothesis of getting genetic stability while colonies are in synchronization.

枯草芽孢杆菌毒力和能力表型基因调控途径的群体感应定量研究。
群体感应(Quorum sensing, QS)是一种细菌群体协调调节其整个群落基因表达的过程。枯草芽孢杆菌是一种利用QS在DNA吸收能力和产孢能力之间交替的土壤生物。我们提出了一个模型来描述参与QS的组分,并分析了参与QS机制调节的反应种类。我们只针对那些遗传组织和成分的分子特征已经完全阐明的QS表型。本文采用定量方法,对不同时期不同能力种类的浓度和产孢途径进行了模拟分析。观察到,应用不可逆Michaelis-Menten动力学定律,有可能获得不同于种间反应的测量结果。通过在0.1-100 ms范围内设置结束时间,我们获得了浓度在0.3 - 50 μM范围内逐步变化的参数的测量变化。另外,在实时模拟中,我们通过波动QS中不同反应种类的数量来观察它们之间的协方差。我们的模型正确地模拟了能力和毒力的表型。结果表明,时间因素在不同反应种类的速率动力学中起主要作用,支持了菌落同步时获得遗传稳定性的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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