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多种反馈环与翻译后动力学的相互作用导致分枝杆菌应激反应的双稳定性。

The interplay of multiple feedback loops with post-translational kinetics results in bistability of mycobacterial stress response.

机构信息

Department of Bioengineering, Rice University, MS-142, 6100 Main St., Houston, TX 77005, USA.

出版信息

Phys Biol. 2010 Aug 23;7(3):036005. doi: 10.1088/1478-3975/7/3/036005.

Abstract

Bacterial persistence is the phenomenon in which a genetically identical fraction of a bacterial population can survive exposure to stress by reduction or cessation of growth. Persistence in mycobacteria has been recently linked to a stress-response network, consisting of the MprA/MprB two-component system and alternative sigma factor sigma(E). This network contains multiple positive transcriptional feedback loops which may give rise to bistability, making it a good candidate for controlling the mycobacterial persistence switch. To analyze the possibility of bistability, we develop a method that involves decoupling of the network into transcriptional and post-translational interaction modules. As a result we reduce the dimensionality of the dynamical system and independently analyze input-output relations in the two modules to formulate a necessary condition for bistability in terms of their logarithmic gains. We show that neither the positive autoregulation in the MprA/MprB network nor the sigma(E)-mediated transcriptional feedback is sufficient to induce bistability in a biochemically realistic parameter range. Nonetheless, inclusion of the post-translational regulation of sigma(E) by RseA increases the effective cooperativity of the system, resulting in bistability that is robust to parameter variation. We predict that overexpression or deletion of RseA, the key element controlling the ultrasensitive response, can eliminate bistability.

摘要

细菌持续存在是指在细菌种群中,遗传上相同的一部分可以通过减少或停止生长来应对压力而存活的现象。最近,分枝杆菌的持续存在与应激反应网络有关,该网络由 MprA/MprB 双组分系统和替代 sigma 因子 sigma(E)组成。该网络包含多个正转录反馈回路,可能导致双稳态,使其成为控制分枝杆菌持续存在开关的良好候选物。为了分析双稳态的可能性,我们开发了一种方法,将网络解耦为转录和翻译后相互作用模块。结果,我们降低了动力系统的维数,并独立分析了两个模块中的输入-输出关系,以对数增益的形式制定了双稳态的必要条件。我们表明,MprA/MprB 网络中的正自调节作用或 sigma(E)介导的转录反馈都不足以在生物化学上合理的参数范围内诱导双稳态。尽管如此,RseA 对 sigma(E)的翻译后调控增加了系统的有效协同作用,导致双稳态对参数变化具有鲁棒性。我们预测,过度表达或删除控制超敏反应的关键元件 RseA,可以消除双稳态。

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