4.5 Review

Roles of autoinducer-2 mediated quorum sensing in wastewater treatment

期刊

WATER SCIENCE AND TECHNOLOGY
卷 84, 期 4, 页码 793-809

出版社

IWA PUBLISHING
DOI: 10.2166/wst.2021.278

关键词

autoinducer-2; bacteria behavior; quorum sensing; wastewater treatment

资金

  1. National Natural Science Foundation of China [51808200]
  2. Natural Science Foundation of Hubei province [2018CFB168]
  3. Fund for Key Laboratory Construction of Hubei Province (Hubei Key Laboratory Opening Fund for Regional Development and Environmental Response) [2019(A)001]

向作者/读者索取更多资源

The AI-2 mediated QS system has the potential to regulate bacterial behavior and is promising for real-world applications in different WWT systems.
Quorum sensing (QS) is considered to be a promising regulation method for biological wastewater treatment (WWT) due to its regulation in extracellular substances (EPS) production, biofilm formation, granulation, colonization and bacterial activity and stability. Recently, autoinducer-2 (AI-2), a kind of interspecies communication QS signal molecule, is increasingly reported for its roles in regulating bacterial gene expression and aggregation. Consequentially, AI-2 mediated QS system is considered as a promising regulatory approach in WWT processes. This article systematically reviews the effects of AI-2-mediated QS system on bacterial behavior and its high potential for real-world applications in different WWT systems. Given the extensive presence of AI-2, AI-2 mediated QS could cooperate with other signal molecules in WWT processes, which suggests that the interactions among multiple signal molecules might be underestimated in the previous studies. The differences between AI-2 and AHL signaling molecules are also compared. Furthermore, the attempts of AI-2 regulated QS in pollution control of different WWT systems are summarized, while some challenges and defects are still required targeted research in the future.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据