Department of Civil and Environmental Engineering, University of Illinois, Urbana-Champaign, 205 N Mathews Avenue, Urbana, IL, 61801, USA.
Department of Biological Engineering, Massachusetts Institute of Technology, 500 Technology Square, Cambridge, MA, 02139, USA.
ISME J. 2018 Jun;12(6):1520-1531. doi: 10.1038/s41396-018-0101-5. Epub 2018 Mar 27.
What happens to tap water when you are away from home? Day-to-day water stagnation in building plumbing can potentially result in water quality deterioration (e.g., lead release or pathogen proliferation), which is a major public health concern. However, little is known about the microbial ecosystem processes in plumbing systems, hindering the development of biological monitoring strategies. Here, we track tap water microbiome assembly in situ, showing that bacterial community composition changes rapidly from the city supply following ~6-day stagnation, along with an increase in cell count from 10 cells/mL to upwards of 7.8 × 10 cells/mL. Remarkably, bacterial community assembly was highly reproducible in this built environment system (median Spearman correlation between temporal replicates = 0.78). Using an island biogeography model, we show that neutral processes arising from the microbial communities in the city water supply (i.e., migration and demographic stochasticity) explained the island community composition in proximal pipes (Goodness-of-fit = 0.48), yet declined as water approached the faucet (Goodness-of-fit = 0.21). We developed a size-effect model to simulate this process, which indicated that pipe diameter drove these changes by mediating the kinetics of hypochlorite decay and cell detachment, affecting selection, migration, and demographic stochasticity. Our study challenges current water quality monitoring practice worldwide which ignore biological growth in plumbing, and suggests the island biogeography model as a useful framework to evaluate building water system quality.
当你不在家时,自来水中会发生什么变化?建筑物管道中的日常水滞留可能会导致水质恶化(例如,铅释放或病原体增殖),这是一个主要的公共卫生问题。然而,人们对管道系统中的微生物生态系统过程知之甚少,这阻碍了生物监测策略的发展。在这里,我们现场追踪了自来水微生物组的组装,结果表明,细菌群落组成在经过约 6 天的滞留后,从城市供应源迅速发生变化,同时细胞计数从每毫升 10 个细胞增加到每毫升 7.8×10 个细胞以上。值得注意的是,在这个建筑环境系统中,细菌群落组装具有高度的可重复性(时间重复之间的中位数 Spearman 相关性为 0.78)。我们使用岛屿生物地理学模型表明,来自城市供水源中的微生物群落的中性过程(即迁移和种群随机性)解释了近端管道中的岛屿群落组成(拟合优度=0.48),但随着水接近水龙头,这些过程的解释能力下降(拟合优度=0.21)。我们开发了一个大小效应模型来模拟这个过程,该模型表明,通过调节次氯酸盐衰减和细胞脱落的动力学,管道直径会影响选择、迁移和种群随机性,从而导致这些变化。我们的研究挑战了目前全球范围内忽视管道中生物生长的水质监测实践,并提出了岛屿生物地理学模型作为评估建筑物水系统质量的有用框架。