Building plumbing influences the microdiversity and community assembly of the drinking water microbiome

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-05-15 Epub Date: 2025-02-06 DOI:10.1016/j.watres.2025.123244
Huanqi He , Linxuan Huo , Solize Oosthuizen-Vosloo , Kelsey J. Pieper , Aron Stubbins , Byungman Yoon , Ameet J. Pinto
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Abstract

Building plumbing microbial communities can significantly influence water quality at the point of use, particularly during periods of stagnation. Thus, a fine-scale understanding of factors governing community membership and structure, as well as environmental and ecological factors shaping building plumbing microbial communities is critical. In this study, we utilized full-length 16S ribosomal RNA (rRNA) gene sequencing to investigate the microdiversity and spatial-temporal dynamics of microbial communities in institutional and residential building plumbing systems. Bacterial operational taxonomic units (OTUs) within institutional buildings exhibited much lower microdiversity relative to the same OTUs in residential buildings. Higher microdiversity was associated with higher persistence and relative abundance of OTUs. Interestingly, amplicon sequencing variants within the same OTUs exhibited habitat preferences based on the building type while also demonstrating varying temporal turnover patterns. Dispersal limitation disproportionately governed community assembly in institutional buildings, whereas heterogeneous selection was the dominant ecological mechanism shaping the microbial community in residential buildings. Dispersal limitation in institutional buildings is consistent with larger building sizes and greater periods of water stagnation. Interestingly, the inability to explain the extent of heterogeneous selection-driven community assembly in residential locations using measured water chemistry may suggest a disproportionately large effect of fine-scale variation in plumbing characteristics on community assembly in residential locations.

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建筑管道影响饮用水微生物群的微生物多样性和群落聚集。
建立管道微生物群落可以在使用点显著影响水质,特别是在停滞期间。因此,对控制群落成员和结构的因素以及形成建筑管道微生物群落的环境和生态因素的精细理解是至关重要的。本研究利用16S核糖体RNA (rRNA)基因测序技术研究了公共机构和住宅建筑管道系统中微生物群落的微多样性和时空动态。机构建筑内的细菌工作分类单元(OTUs)的微多样性明显低于住宅楼内的相同OTUs。较高的微多样性与较高的otu持久性和相对丰度相关。有趣的是,相同otu内的扩增子测序变体显示出基于建筑类型的栖息地偏好,同时也显示出不同的时间周转模式。在机构建筑中,分散限制不成比例地控制着群落的聚集,而在住宅建筑中,异质选择是形成微生物群落的主要生态机制。机构建筑的扩散限制与较大的建筑规模和较长的水滞期相一致。有趣的是,无法使用测量的水化学来解释居住地点异质选择驱动的社区聚集的程度,可能表明管道特征的细微变化对居住地点社区聚集的影响不成比例地大。
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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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