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细菌群体感应系统中的特异性与复杂性。

Specificity and complexity in bacterial quorum-sensing systems.

作者信息

Hawver Lisa A, Jung Sarah A, Ng Wai-Leung

机构信息

Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111, USA.

Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111, USA Program in Molecular Microbiology, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA 02111, USA.

出版信息

FEMS Microbiol Rev. 2016 Sep;40(5):738-52. doi: 10.1093/femsre/fuw014. Epub 2016 Jun 26.

Abstract

Quorum sensing (QS) is a microbial cell-to-cell communication process that relies on the production and detection of chemical signals called autoinducers (AIs) to monitor cell density and species complexity in the population. QS allows bacteria to behave as a cohesive group and coordinate collective behaviors. While most QS receptors display high specificity to their AI ligands, others are quite promiscuous in signal detection. How do specific QS receptors respond to their cognate signals with high fidelity? Why do some receptors maintain low signal recognition specificity? In addition, many QS systems are composed of multiple intersecting signaling pathways: what are the benefits of preserving such a complex signaling network when a simple linear 'one-to-one' regulatory pathway seems sufficient to monitor cell density? Here, we will discuss different molecular mechanisms employed by various QS systems that ensure productive and specific QS responses. Moreover, the network architectures of some well-characterized QS circuits will be reviewed to understand how the wiring of different regulatory components achieves different biological goals.

摘要

群体感应(QS)是一种微生物细胞间通讯过程,它依赖于称为自诱导物(AIs)的化学信号的产生和检测,以监测群体中的细胞密度和物种复杂性。群体感应使细菌能够作为一个有凝聚力的群体行动并协调集体行为。虽然大多数群体感应受体对其自诱导物配体表现出高度特异性,但其他受体在信号检测方面则相当混杂。特定的群体感应受体如何高保真地响应其同源信号?为什么有些受体保持低信号识别特异性?此外,许多群体感应系统由多个相互交叉的信号通路组成:当一个简单的线性“一对一”调节通路似乎足以监测细胞密度时,保留这样一个复杂的信号网络有什么好处?在这里,我们将讨论各种群体感应系统采用的不同分子机制,这些机制可确保产生有效的和特定的群体感应反应。此外,还将回顾一些特征明确的群体感应回路的网络架构,以了解不同调节组件的连接方式如何实现不同的生物学目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d137/5007282/2a0c7385d9c8/fuw014fig1.jpg

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