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LsrR Quorum Sensing Switch Is Revealed by a Bottom-Up Approach

机译:自下而上的方法揭示了LsrR法定人数感测切换

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摘要

Quorum sensing (QS) enables bacterial multicellularity and selective advantage for communicating populations. While genetic “switching” phenomena are a common feature, their mechanistic underpinnings have remained elusive. The interplay between circuit components and their regulation are intertwined and embedded. Observable phenotypes are complex and context dependent. We employed a combination of experimental work and mathematical models to decipher network connectivity and signal transduction in the autoinducer-2 (AI-2) quorum sensing system of E. coli. Negative and positive feedback mechanisms were examined by separating the network architecture into sub-networks. A new unreported negative feedback interaction was hypothesized and tested via a simple mathematical model. Also, the importance of the LsrR regulator and its determinant role in the E. coli QS “switch”, normally masked by interfering regulatory loops, were revealed. Our simple model allowed mechanistic understanding of the interplay among regulatory sub-structures and their contributions to the overall native functioning network. This “bottom up” approach in understanding gene regulation will serve to unravel complex QS network architectures and lead to the directed coordination of emergent behaviors.
机译:群体感应(QS)可以使细菌具有多细胞性,并具有传播种群的选择性优势。尽管遗传“转换”现象是一个普遍特征,但其机制基础仍然难以捉摸。电路组件之间的相互作用及其调节是相互交织和嵌入的。可观察的表型是复杂的并且取决于上下文。我们采用了实验工作和数学模型的组合来破译大肠杆菌的autoinducer-2(AI-2)群体感应系统中的网络连通性和信号转导。通过将网络体系结构划分为子网,可以研究负面和正面反馈机制。假设并通过简单的数学模型测试了新的未报告的负反馈交互作用。此外,还揭示了LsrR调节剂的重要性及其在大肠杆菌QS“开关”中的决定性作用(通常被干扰的调节环所掩盖)。我们的简单模型允许对监管子结构之间的相互作用及其对整体本机功能网络的贡献进行机械理解。这种理解基因调控的“自下而上”的方法将有助于弄清复杂的QS网络架构,并导致紧急行为的定向协调。

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