全球污水处理厂群体感应菌的多样性、影响因素及通讯网络建设

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Yong-Chao Wang , Sen Wang , Ya-Hui Lv , Jia-Yi Wang , Wen-Xuan Yang , Ye Deng , Feng Ju , Can Wang
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引用次数: 0

摘要

群体感应(Quorum sensing, QS)广泛存在于微生物界,并调节着群落中的微生物关系。然而,现有的知识远远不能完全描述工程生态系统中基于通信的复杂微生物相互作用,即废水处理厂(WWTPs)。本文通过收集全球1186份活性污泥微生物群落样本,系统分析了qs相关微生物群落的多样性及其影响因素。我们发现,与通用细菌次级信使相关的细菌丰富度在QS系统中最高,而与n -酰基-高丝氨酸内酯降解相关的细菌在群体猝灭系统中占据主要地位。发现QS菌群更替更可能受溶解氧和资源可利用性(有机质与微生物比)等确定性过程的支配。同时,这些QS菌群反过来又对WWTPs的功能产生深远的影响,特别是涉及多种语言系统的多语言智能体,如硝化螺旋菌。通过连接信号分子合成和接受菌,我们构建了一个QS通信网络,可以为初步研究信号分子介导的微生物相互作用提供一个强大的工具。上述结果被进一步整合到一个名为活性污泥群体感应通信网络(QSCNAS)的在线访问网站(https://www.qscnas.cn/)中,该网站允许用户浏览和捕捉目标细菌可能的基于群体感应的相互作用。这项工作有助于了解细菌在WWTPs中的交流,并为开发潜在的调控策略提供了一个平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Diversity, influential factor, and communication network construction of quorum sensing bacteria in global wastewater treatment plants

Diversity, influential factor, and communication network construction of quorum sensing bacteria in global wastewater treatment plants
Quorum sensing (QS) is widespread in the microbial world and mediates microbial relationships in communities. However, the existing knowledge is far from a full description of the complex communication-based microbial interactions in engineered ecosystems, i.e., wastewater treatment plants (WWTPs). Herein, we conducted a systematic analysis of the diversity and influential factors of the QS-related microflora through the collection of global 1186 activated sludge microbiome samples. We found that the richness of bacteria associated with the universal bacterial secondary messenger presented the highest in QS system, whereas the bacteria related to the degradation of N-Acyl-homoserine lactones occupied the main position in the quorum quenching system. The community turnover of QS microflora was found more likely to be dominated by the deterministic process, such as the dissolved oxygen and resource availability (the ratio of organic matter to microorganisms). Meanwhile, these QS microflora in turn have a profound impact on the functions of WWTPs, especially multilingual intelligencers involving various language systems, such as Nitrospira. By connecting the signal molecule synthesis and acceptance bacteria, we constructed a QS communication network, which can be a robust tool for initial investigation of signaling molecule-mediated microbial interactions. The above results were further integrated into an online access website, named Quorum Sensing Communication Network in Activated Sludge (QSCNAS) (https://www.qscnas.cn/), which allowed users to browse and capture possible QS-based interactions of target bacterium. This work contributes to the understanding of bacterial communication in WWTPs and provides a platform to help in developing potential regulation strategies.
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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