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Construction and engineering application of bacterial quorum sensing elements
Ailin ZHOU, Yi LIU, Fang BA, Chao ZHONG
Synthetic Biology Journal    2021, 2 (2): 234-246.   DOI: 10.12211/2096-8280.2020-066
Abstract   (1854 HTML170 PDF(pc) (3314KB)(1761)  

Quorum sensing refers to the specific communication among bacteria which could synchronize individual behaviors to collective benefits. This mechanism relies on the production, detection, and response to extracellular signaling molecules called autoinducers. Based on the understanding of scientific fundamentals underlying the activation and inhibition of natural quorum sensing systems, researchers attempt to introduce quorum sensing into engineering applications as modules or gene parts through synthetic biology, and employ it in fields such as medicine, industry and environment. In this review, strategies and methods used in the construction of quorum sensing system are briefly discussed, and the promising applications of engineered bacteria with quorum sensing for dynamic metabolic reflux, oscillation, and microbial consortia are also highlighted. The construction of quorum sensing elements requires the grasp of its essence, which involves the development of new elements and the optimization of existing ones. By simulating natural quorum sensing systems, and optimizing and modularizing quorum sensing elements, researchers construct libraries for quorum sensing elements, making them possible to employ quorum sensing under different circumstances. Moreover, by introducing quorum sensing, various feedback loops initially possessed by a single bacterium could be extended to the whole population. With the construction of such multicellular quorum sensing systems, more complex functions could be initiated, such as dynamic regulation of metabolic flux for boosting fermentation efficiency, robust production of drugs by collective oscillation and so on. In addition, microbial consortia containing could be manipulated by introducing exogenous quorum sensing systems, providing new tools for microbial co-culture and new ideas for the construction of biological systems with higher complexity. In the future, machine learning will be applied for designing complex quorum sensing circuits and accurately predicting the behavior of exogenous quorum sensing systems in certain microbial population.


项目化学诱导剂群体感应
可控性

较好

可以人为通过加入化学诱导剂,较为精确地控制基因表达的时间

较好

群体感应的基因表达开启与否本来由元件内源参数决定,除了在使用前改造元件、调整内源参数,还可以将群体感应中自体诱导物的启动子替换为外源分子调控的诱导型启动子,通过外加特定的诱导物实现对群体感应行为的控制[26]

动态性

较差

需要实时检测细胞生长状况,并在合适的时机添加诱导剂

较好

群体数量实时决定群体行为

可逆性

较差

一经添加便会一直存在于介质中,只能起到单次控制的效果[40]

较差,但可以优化

Miano等[23]通过构建基于诱导物的酶促反应链,搭建调控严谨且能多次开关的群体感应系统(iQS)

经济性

较差

现常用的化学诱导剂如IPTG等成本较高[39],不适合大规模工业生产使用[24]

较好

只在最初基因回路构建上存在一次性成本

Tab. 1 Comparison between chemical inducers and quorum sensing on their application in metabolic regulation[23-24,26,39-40]
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