Center for Theoretical Biological Physics, University of California at San Diego, La Jolla, CA 92093-0374, USA.
Proc Natl Acad Sci U S A. 2009 Dec 15;106(50):21027-34. doi: 10.1073/pnas.0912185106. Epub 2009 Dec 7.
Bacteria serve as the central arena for understanding how gene networks and proteins process information and control cellular behaviors. Recently, much effort has been devoted to the investigation of specific bacteria gene circuits as functioning modules. The next challenge is the integrative modeling of complex cellular networks composed of many such modules. A tractable integrative model of the sophisticated decision-making signal transduction system that determines the fate between sporulation and competence is presented. This model provides an understanding of how information is sensed and processed to reach an "informative" decision in the context of cell state and signals from other cells. The competence module (ComK dynamics) is modeled as a stochastic switch whose transition rate is controlled by a quorum-sensing unit. The sporulation module (Spo0A dynamics) is modeled as a timer whose clock rate is adjusted by a stress-sensing unit. The interplay between these modules is mediated via the Rap assessment system, which gates the sensing units, and the AbrB-Rok decision module, which creates an opportunity for competence within a specific window of the sporulation timer. The timer is regulated via a special repressilator-like inhibition of Spo0A* by Spo0E, which is itself inhibited by AbrB. For some stress and input signals, this repressilator can generate a frustration state with large variations (fluctuations or oscillations) in Spo0A* and AbrB concentrations, which might serve an important role in generating cell variability. This integrative framework is a starting point that can be extended to include transition into cannibalism and the role of colony organization.
细菌是理解基因网络和蛋白质如何处理信息和控制细胞行为的核心领域。最近,人们致力于研究特定细菌基因回路作为功能模块。下一个挑战是整合由许多此类模块组成的复杂细胞网络的模型。本文提出了一种复杂的决策信号转导系统的可处理综合模型,该系统决定了孢子形成和感受态之间的命运。该模型提供了一种理解信息如何在细胞状态和来自其他细胞的信号的背景下被感知和处理,以做出“信息丰富”的决策的方法。感受态模块(ComK 动力学)被建模为随机开关,其转换率由群体感应单元控制。孢子形成模块(Spo0A 动力学)被建模为一个定时器,其时钟率由应激感应单元调整。这些模块之间的相互作用是通过 Rap 评估系统介导的,该系统门控感应单元,AbrB-Rok 决策模块为感受态创造了在特定孢子形成定时器窗口内的机会。定时器通过 Spo0E 对 Spo0A的特殊阻遏子样抑制来调节,而 Spo0E 本身又受到 AbrB 的抑制。对于某些应激和输入信号,该阻遏子可以产生具有 Spo0A和 AbrB 浓度大变化(波动或振荡)的挫败状态,这可能在产生细胞变异性方面发挥重要作用。这个综合框架是一个起点,可以扩展到包括进入自噬和菌落组织的作用。