构建活性污泥微生物群落的法定人数感应信号网络

IF 5.1 Q1 ECOLOGY ISME communications Pub Date : 2024-01-27 DOI:10.1093/ismeco/ycae018
Ying Jin, Wenkang Chen, Jie Hu, Jinfeng Wang, Hongqiang Ren
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摘要

在废水处理系统中,基于化学信号(即法定量感应(QS))的各种微生物之间的相互作用在影响微生物结构和功能方面发挥着至关重要的作用。然而,要了解复杂微生物群落中的 QS 控制行为及其内在机制却很有挑战性。在这项研究中,我们构建了一个 QS 信号网络,根据不同的 QS 信号分子深入了解了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(DSFs)在活性污泥微生物种内和种间交流中的作用,通常被认为介导种内交流的信号分子也可能参与种间交流。QS 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具有高度冗余性,对自然微生物系统的稳定性做出了重要贡献。这项工作有助于建立活性污泥微生物群落的 QS 信号网络,它可以补充代谢交换在解释活性污泥微生物群落结构方面的作用,并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能力更可预测。
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Constructions of quorum sensing Signaling network for activated sludge microbial community
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 (DSFs) 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.
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