Effect of Disinfectant, Water Age, and Pipe Materials on Bacterial and Eukaryotic Community Structure in Drinking Water Biofilm

被引:192
|
作者
Wang, Hong [1 ]
Masters, Sheldon [1 ]
Edwards, Marc A. [1 ]
Falkinham, Joseph O., III [2 ]
Pruden, Amy [1 ]
机构
[1] Virginia Tech, Via Dept Civil & Environm Engn, Blacksburg, VA 24061 USA
[2] Virginia Tech, Dept Biol Sci, Blacksburg, VA 24061 USA
基金
美国国家科学基金会;
关键词
LEGIONELLA-PNEUMOPHILA; PYROSEQUENCING ANALYSIS; PSEUDOMONAS-AERUGINOSA; MYCOBACTERIUM-AVIUM; MICROBIAL DIVERSITY; SHEAR-STRESS; DYNAMICS; IMPACT; VARIABILITY; TOXICITY;
D O I
10.1021/es402636u
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Availability of safe, pathogen-free drinking water is vital to public health; however, it is impossible to deliver sterile drinking water to consumers. Recent microbiome research is bringing new understanding to the true extent and diversity of microbes that inhabit water distribution systems. The purpose of this study was to determine how water chemistry in main distribution lines shape the microbiome in drinking water biofilms and to explore potential associations between opportunistic pathogens and indigenous drinking water microbes. Effects of disinfectant (chloramines, chlorine), water age (2.3 days, 5.7 days), and pipe material (cement, iron, PVC) were compared in parallel triplicate simulated water distribution systems. Pyrosequencing was employed to characterize bacteria and terminal restriction fragment polymorphism was used to profile both bacteria and eukaryotes inhabiting pipe biofilms. Disinfectant and water age were both observed to be strong factors in shaping bacterial and eukaryotic community structures. Pipe material only influenced the bacterial community structure (ANOSIM test, P < 0.05). Interactive effects of disinfectant, pipe material, and water age on both bacteria and eukaryotes were noted. Disinfectant concentration had the strongest effect on bacteria, while dissolved oxygen appeared to be a major driver for eukaryotes (BEST test). Several correlations of similarity metrics among populations of bacteria, eukaryotes, and opportunistic pathogens, as well as one significant association between mycobacterial and proteobacterial operational taxonomic units, provides insight into means by which manipulating the microbiome may lead to new avenues for limiting the growth of opportunistic pathogens (e.g., Legionella) or other nuisance organisms (e.g., nitrifiers).
引用
收藏
页码:1426 / 1435
页数:10
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