Jin Ying, Chen Wenkang, Hu Jie, Wang Jinfeng, Ren Hongqiang
State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
ISME Commun. 2024 Jan 27;4(1):ycae018. doi: 10.1093/ismeco/ycae018. eCollection 2024 Jan.
In wastewater treatment systems, the interactions among various microbes based on chemical signals, namely quorum sensing (QS), play critical roles in influencing microbial structure and function. However, it is challenging to understand the QS-controlled behaviors and the underlying mechanisms in complex microbial communities. In this study, we constructed a QS signaling network, providing insights into the intra- and interspecies interactions of activated sludge microbial communities based on diverse QS signal molecules. Our research underscores the role of diffusible signal factors in both intra- and interspecies communication among activated sludge microorganisms, and signal molecules commonly considered to mediate intraspecies communication may also participate in interspecies communication. QS signaling molecules play an important role as communal resources among the entire microbial group. The communication network within the microbial community is highly redundant, significantly contributing to the stability of natural microbial systems. This work contributes to the establishment of QS signaling network for activated sludge microbial communities, which may complement metabolic exchanges in explaining activated sludge microbial community structure and may help with a variety of future applications, such as making the dynamics and resilience of highly complex ecosystems more predictable.
在废水处理系统中,各种微生物基于化学信号的相互作用,即群体感应(QS),在影响微生物结构和功能方面起着关键作用。然而,了解复杂微生物群落中群体感应控制的行为及其潜在机制具有挑战性。在本研究中,我们构建了一个群体感应信号网络,基于多种群体感应信号分子,深入了解活性污泥微生物群落的种内和种间相互作用。我们的研究强调了可扩散信号因子在活性污泥微生物种内和种间通讯中的作用,通常认为介导种内通讯的信号分子也可能参与种间通讯。群体感应信号分子作为整个微生物群体的公共资源发挥着重要作用。微生物群落内的通讯网络高度冗余,对自然微生物系统的稳定性有显著贡献。这项工作有助于建立活性污泥微生物群落的群体感应信号网络,这可能在解释活性污泥微生物群落结构方面补充代谢交换,并可能有助于未来的各种应用,例如使高度复杂生态系统的动态和恢复力更具可预测性。