首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Real-time PCR assay for the simultaneous quantification of nitrifying and denitrifying bacteria in activated sludge
Authors:Joke Geets  Michaël de Cooman  Lieven Wittebolle  Kim Heylen  Bram Vanparys  Paul De Vos  Willy Verstraete  Nico Boon
Institution:(1) Laboratory of Microbial Ecology and Technology (LabMET), Ghent University, Coupure Links 653, 9000 Ghent, Belgium;(2) Department of Biochemistry, Physiology and Microbiology, Laboratory of Microbiology, Ghent University, K.L. Ledeganckstraat 35, 9000 Ghent, Belgium
Abstract:In order to improve wastewater treatment processes, a need exists for tools that rapidly give detailed insight into the community structure of activated sludge, supplementary to chemical and physical data. In this study, the advantages of microarrays and quantitative polymerase chin reaction (PCR) methods were combined into a real-time PCR assay that allows the simultaneous quantification of phylogenetic and functional genes involved in nitrification and denitrification processes. Simultaneous quantification was possible along a 5-log dynamic range and with high linear correlation (R 2 > 0.98). The specificity of the assay was confirmed by cloning and sequencing analyses of PCR amplicons obtained from activated sludge. The real-time assay was validated on mixed liquid samples of different treatment plants, which varied in nitrogen removal rate. The abundance of ammonia oxidizers was in the order of magnitude of 106 down to 104 ml−1, whereas nitrite oxidizers were less abundant (103–101 order of magnitude). The results were in correspondence with the nitrite oxidation rate in the sludge types. As for the nirS, nirK, and nosZ gene copy numbers, their abundance was generally in the order of magnitude of 108–105. When sludge samples were subjected to lab-scale perturbations, a decrease in nitrification rate was reflected within 18 h in the copy numbers of nitrifier genes (decrease with 1 to 5 log units), whereas denitrification genes remained rather unaffected. These results demonstrate that the method is a fast and accurate tool for the analysis of the (de)nitrifying community structure and size in both natural and engineered environmental samples. Electronic supplementary material Supplementary material is available in the online version of this article at and is accessible for authorized users.
Keywords:SYBR Green I real-time PCR  16S rRNA gene            amoA            Nitrite oxidoreductase            nosZ                      nirS                      nirK            Activated sludge
本文献已被 PubMed SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号