Ben-Jacob Eshel, Lu Mingyang, Schultz Daniel, Onuchic Jose' N
Center for Theoretical Biological Physics, Rice University Houston, TX, USA ; Department of Biosciences, Rice University Houston, TX, USA ; School of Physics and Astronomy and The Sagol School of Neuroscience, Tel-Aviv University Tel-Aviv, Israel.
Center for Theoretical Biological Physics, Rice University Houston, TX, USA.
Front Cell Infect Microbiol. 2014 Oct 30;4:154. doi: 10.3389/fcimb.2014.00154. eCollection 2014.
The choice that bacteria make between sporulation and competence when subjected to stress provides a prototypical example of collective cell fate determination that is stochastic on the individual cell level, yet predictable (deterministic) on the population level. This collective decision is performed by an elaborated gene network. Considerable effort has been devoted to simplify its complexity by taking physics approaches to untangle the basic functional modules that are integrated to form the complete network: (1) A stochastic switch whose transition probability is controlled by two order parameters-population density and internal/external stress. (2) An adaptable timer whose clock rate is normalized by the same two previous order parameters. (3) Sensing units which measure population density and external stress. (4) A communication module that exchanges information about the cells' internal stress levels. (5) An oscillating gate of the stochastic switch which is regulated by the timer. The unique circuit architecture of the gate allows special dynamics and noise management features. The gate opens a window of opportunity in time for competence transitions, during which the circuit generates oscillations that are translated into a chain of short intervals with high transition probability. In addition, the unique architecture of the gate allows filtering of external noise and robustness against variations in circuit parameters and internal noise. We illustrate that a physics approach can be very valuable in investigating the decision process and in identifying its general principles. We also show that both cell-cell variability and noise have important functional roles in the collectively controlled individual decisions.
细菌在受到压力时在芽孢形成和感受态之间做出的选择,提供了一个集体细胞命运决定的典型例子,这种决定在单个细胞水平上是随机的,但在群体水平上是可预测的(确定性的)。这种集体决策是由一个复杂的基因网络执行的。人们已经付出了相当大的努力,通过采用物理学方法来简化其复杂性,以梳理出整合形成完整网络的基本功能模块:(1)一个随机开关,其转换概率由两个序参量控制——群体密度和内部/外部压力。(2)一个自适应定时器,其时钟速率由之前相同的两个序参量归一化。(3)测量群体密度和外部压力的传感单元。(4)一个交换有关细胞内部压力水平信息的通信模块。(5)一个由定时器调节的随机开关的振荡门。该门独特的电路架构允许特殊的动力学和噪声管理特性。该门及时打开一个感受态转换的机会窗口,在此期间,电路产生振荡,这些振荡被转化为一系列具有高转换概率的短时间间隔。此外,该门的独特架构允许过滤外部噪声,并对电路参数变化和内部噪声具有鲁棒性。我们表明,物理学方法在研究决策过程和确定其一般原则方面可能非常有价值。我们还表明,细胞间变异性和噪声在集体控制的个体决策中都具有重要的功能作用。