细菌群体感应中的信息处理和信号整合
Information processing and signal integration in bacterial quorum sensing
摘要：
细菌通过分泌的化学信号分子进行交流，这种分子被称为“群体感应”。海洋细菌{ \it Vibrio harveyi}的群体感应网络采用三种自诱导物，每种已知编码不同的生态信息。然而，细胞如何整合和解释包含在三个自诱导信号中的信息仍然是一个谜。在这里，我们开发了一个基于信息论的分析信号集成的新框架，并使用它来分析{ \it V. harveyi}中的群体感应。我们量化多少细胞可以了解个人的自诱导和解释实验观察到的{ \it V. harveyi}群体感应电路的输入输出关系。我们的研究结果表明，需要限制输入信号之间的干扰对细菌信号整合网络的架构有很强的约束，并且细菌可能已经进化出主动策略来最大限度地减少这种干扰。在这里，我们分析了两个这样的策略：操纵的autoinducer生产和反馈受体的数量比例。
英文摘要：
Bacteria communicate using secreted chemical signaling molecules called autoinducers in a process known as quorum sensing. The quorum-sensing network of the marine bacterium {\it Vibrio harveyi} employs three autoinducers, each known to encode distinct ecological information. Yet how cells integrate and interpret the information contained within the three autoinducer signals remains a mystery. Here, we develop a new framework for analyzing signal integration based on Information Theory and use it to analyze quorum sensing in {\it V. harveyi}. We quantify how much the cells can learn about individual autoinducers and explain the experimentally observed input-output relation of the {\it V. harveyi} quorum-sensing circuit. Our results suggest that the need to limit interference between input signals places strong constraints on the architecture of bacterial signal-integration networks, and that bacteria likely have evolved active strategies for minimizing this interference. Here we analyze two such strategies: manipulation of autoinducer production and feedback on receptor number ratios.
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