The James Franck Institute, The Institute for Biophysical Dynamics, and The Department of Physics, University of Chicago, Chicago, Illinois 60637, USA.
Nature. 2010 Dec 9;468(7325):819-23. doi: 10.1038/nature09551. Epub 2010 Nov 14.
The chemotaxis signalling network in Escherichia coli that controls the locomotion of bacteria is a classic model system for signal transduction. This pathway modulates the behaviour of flagellar motors to propel bacteria towards sources of chemical attractants. Although this system relaxes to a steady state in response to environmental changes, the signalling events within the chemotaxis network are noisy and cause large temporal variations of the motor behaviour even in the absence of stimulus. That the same signalling network governs both behavioural variability and cellular response raises the question of whether these two traits are independent. Here, we experimentally establish a fluctuation-response relationship in the chemotaxis system of living bacteria. Using this relationship, we demonstrate the possibility of inferring the cellular response from the behavioural variability measured before stimulus. In monitoring the pre- and post-stimulus switching behaviour of individual bacterial motors, we found that variability scales linearly with the response time for different functioning states of the cell. This study highlights that the fundamental relationship between fluctuation and response is not constrained to physical systems at thermodynamic equilibrium but is extensible to living cells. Such a relationship not only implies that behavioural variability and cellular response can be coupled traits, but it also provides a general framework within which we can examine how the selection of a network design shapes this interdependence.
大肠杆菌中控制细菌运动的趋化信号网络是信号转导的经典模型系统。该途径调节鞭毛马达的行为,使细菌向化学引诱剂的来源移动。尽管该系统会根据环境变化而松弛到稳定状态,但趋化信号网络内的信号事件是嘈杂的,即使在没有刺激的情况下,也会导致马达行为的大的时间变化。同一信号网络控制着行为可变性和细胞反应,这就提出了一个问题,即这两个特征是否独立。在这里,我们在活细菌的趋化系统中通过实验建立了波动-响应关系。利用这种关系,我们证明了从刺激前测量的行为可变性推断细胞反应的可能性。在监测单个细菌马达的刺激前后切换行为时,我们发现对于细胞的不同功能状态,可变性与响应时间呈线性关系。这项研究强调了波动和响应之间的基本关系不仅限于热力学平衡的物理系统,而是可以扩展到活细胞。这种关系不仅意味着行为可变性和细胞反应可以是耦合的特征,而且还提供了一个通用框架,我们可以在其中研究网络设计的选择如何塑造这种相互依存关系。