globalchange  > 气候减缓与适应
DOI: 10.1016/j.watres.2018.08.013
Scopus记录号: 2-s2.0-85053035210
论文题名:
Detection of microbial disturbances in a drinking water microbial community through continuous acquisition and advanced analysis of flow cytometry data
作者: Props R.; Rubbens P.; Besmer M.; Buysschaert B.; Sigrist J.; Weilenmann H.; Waegeman W.; Boon N.; Hammes F.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 145
起始页码: 73
结束页码: 82
语种: 英语
英文关键词: Disturbance ecology ; Drinking water ; Fingerprinting ; Flow cytometry ; Microbial ecology
Scopus关键词: Data acquisition ; Ecology ; Flow cytometry ; Microorganisms ; Potable water ; Aquatic microbial communities ; Coefficient of variation ; Disturbance ecology ; Fingerprinting ; Fingerprinting methods ; Fingerprinting techniques ; Microbial contamination ; Microbial ecology ; Aquatic organisms ; aquatic environment ; community dynamics ; data set ; disturbance ; drinking water ; flow cytometry ; microbial community ; microbial ecology ; Bacteria (microorganisms)
英文摘要: Detecting disturbances in microbial communities is an important aspect of managing natural and engineered microbial communities. Here, we implemented a custom-built continuous staining device in combination with real-time flow cytometry (RT-FCM) data acquisition, which, combined with advanced FCM fingerprinting methods, presents a powerful new approach to track and quantify disturbances in aquatic microbial communities. Through this new approach we were able to resolve various natural community and single-species microbial contaminations in a flow-through drinking water reactor. Next to conventional FCM metrics, we applied metrics from a recently developed fingerprinting technique in order to gain additional insight into the microbial dynamics during these contamination events. Importantly, we found that multiple community FCM metrics based on different statistical approaches were required to fully characterize all contaminations. Furthermore we found that for accurate cell concentration measurements and accurate inference from the FCM metrics (coefficient of variation ≤ 5%), at least 1000 cells should be measured, which makes the achievable temporal resolution a function of the prevalent bacterial concentration in the system-of-interest. The integrated RT-FCM acquisition and analysis approach presented herein provides a considerable improvement in the temporal resolution by which microbial disturbances can be observed and simultaneously provides a multi-faceted toolset to characterize such disturbances. © 2018 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112423
Appears in Collections:气候减缓与适应

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作者单位: Center for Microbial Ecology and Technology (CMET), Ghent University, Coupure Links 653, Gent, B-9000, Belgium; KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, Ghent, B-9000, Belgium; Eawag, Swiss Federal Institute of Aquatic Science and Technology, Ueberlandstrasse 133, Duebendorf, CH-8600, Switzerland; Department of Environmental Systems Science, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Zürich, Switzerland

Recommended Citation:
Props R.,Rubbens P.,Besmer M.,et al. Detection of microbial disturbances in a drinking water microbial community through continuous acquisition and advanced analysis of flow cytometry data[J]. Water Research,2018-01-01,145
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