Real-time PCR assay for the simultaneous quantification of nitrifying and denitrifying bacteria in activated sludge

被引:190
作者
Geets, Joke
de Cooman, Michael
Wittebolle, Lieven
Heylen, Kim
Vanparys, Bram
De Vos, Paul
Verstraete, Willy
Boon, Nico
机构
[1] Univ Ghent, LabMET, B-9000 Ghent, Belgium
[2] Univ Ghent, Microbiol Lab, Dept Biochem Physiol & Microbiol, B-9000 Ghent, Belgium
关键词
SYBR Green I real-time PCR; 16S rRNA gene; amoA; nitrite oxidoreductase; nosZ; nirS; nirK; activated sludge;
D O I
10.1007/s00253-006-0805-8
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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 10(6) down to 10(4) ml(-1), whereas nitrite oxidizers were less abundant (10(3) - 10(1) 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 10(8) - 10(5). 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.
引用
收藏
页码:211 / 221
页数:11
相关论文
共 40 条
[1]  
[Anonymous], 1986, Nitrification
[2]   Evaluation of nested PCR-DGGE (denaturing gradient gel electrophoresis) with group-specific 16S rRNA primers for the analysis of bacterial communities from different wastewater treatment plants [J].
Boon, N ;
De Windt, W ;
Verstraete, W ;
Top, EM .
FEMS MICROBIOLOGY ECOLOGY, 2002, 39 (02) :101-112
[3]  
Braker G, 1998, APPL ENVIRON MICROB, V64, P3769
[4]   Nitric oxide reductase (norB) genes from pure cultures and environmental samples [J].
Braker, G ;
Tiedjë, JM .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2003, 69 (06) :3476-3483
[5]   Micro-environments and mass transfer phenomena in biofilms studied with microsensors [J].
de Beer, D ;
Schramm, A .
WATER SCIENCE AND TECHNOLOGY, 1999, 39 (07) :173-178
[6]   DETECTION AND COUNTING OF NITROBACTER POPULATIONS IN SOIL BY PCR [J].
DEGRANGE, V ;
BARDIN, R .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 1995, 61 (06) :2093-2098
[7]   Real-time reverse transcription PCR analysis of expression of atrazine catabolism genes in two bacterial strains isolated from soil [J].
Devers, M ;
Soulas, G ;
Martin-Laurent, F .
JOURNAL OF MICROBIOLOGICAL METHODS, 2004, 56 (01) :3-15
[8]   Quantification of Nitrosomonas oligotropha-like ammonia-oxidizing bacteria and Nitrospira spp. from full-scale wastewater treatment plants by competitive PCR [J].
Dionisi, HM ;
Layton, AC ;
Harms, G ;
Gregory, IR ;
Robinson, KG ;
Sayler, GS .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2002, 68 (01) :245-253
[9]   Prokaryotic genome size and SSU rDNA copy number: Estimation of microbial relative abundance from a mixed population [J].
Fogel, GB ;
Collins, CR ;
Li, J ;
Brunk, CF .
MICROBIAL ECOLOGY, 1999, 38 (02) :93-113
[10]  
Greenberg A. E., 1992, STANDARD METHODS EXA