State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, Jiangsu, China.
School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Environ Int. 2024 May;187:108659. doi: 10.1016/j.envint.2024.108659. Epub 2024 Apr 24.
Quorum-sensing bacteria (QSB) are crucial factors for microbial communication, yet their ecological role in wastewater treatment plants (WWTPs) remains unclear. Here, we developed a method to identify QSB by comparing 16S rRNA gene sequences. QSB in 388 activated sludge samples collected from 130 WWTPs across China primarily were identified as rare taxa and conditionally rare taxa. A co-occurrence network shared by all sludge communities revealed that QSB exhibited higher average clustering coefficient (0.46) than non-QSB (0.15). Individual sludge networks demonstrated that quorum sensing microbiomes were positively correlated with network robustness and network complexity, including average clustering coefficient and link density. We confirmed that QSB keystones and QSB nodes have a positive impact on network complexity by influencing network modularity through a structural equation model. Meanwhile, QSB communities directly contributed to maintaining network robustness (r = 0.29, P < 0.05). Hence, QSB play an important role in promoting network complexity and stability. Furthermore, QSB communities were positively associated with the functional composition of activated sludge communities (r = 0.33, P < 0.01), especially the denitrification capacity (r = 0.45, P < 0.001). Overall, we elucidated the ecological significance of QSB and provided support for QS-based regulation of activated sludge microbial communities.
群体感应细菌(QSB)是微生物通讯的关键因素,但它们在废水处理厂(WWTP)中的生态作用仍不清楚。在这里,我们通过比较 16S rRNA 基因序列开发了一种识别 QSB 的方法。从中国 130 个 WWTP 采集的 388 个活性污泥样本中的 QSB 主要被鉴定为稀有分类群和条件稀有分类群。所有污泥群落共享的共生网络表明,QSB 的平均聚类系数(0.46)高于非 QSB(0.15)。个体污泥网络表明,群体感应微生物组与网络鲁棒性和网络复杂性呈正相关,包括平均聚类系数和链路密度。我们通过结构方程模型确认,通过影响网络模块性,QSB 关键种和 QSB 节点对网络复杂性有积极影响。同时,QSB 群落直接有助于维持网络鲁棒性(r = 0.29,P < 0.05)。因此,QSB 在促进网络复杂性和稳定性方面发挥着重要作用。此外,QSB 群落与活性污泥群落的功能组成呈正相关(r = 0.33,P < 0.01),特别是脱氮能力(r = 0.45,P < 0.001)。总体而言,我们阐明了 QSB 的生态意义,并为基于 QS 的活性污泥微生物群落调控提供了支持。