A comparitive study of ammonia-oxidizing bacteria in lab-scale industrial wastewater treatment reactors

2003 ◽  
Vol 48 (3) ◽  
pp. 17-24 ◽  
Author(s):  
A.K. Rowan ◽  
G. Moser ◽  
N. Gray ◽  
J.R. Snape ◽  
D. Fearnside ◽  
...  

The diversity and community structure of the b-proteobacterial ammonia oxidising bacteria (AOB) in a range of different lab-scale industrial wastewater treatment reactors were compared. Three of the reactors treat waste from mixed domestic and industrial sources whereas the other reactor treats waste solely of industrial origin. PCR with AOB selective primers was combined with denaturing gradient gel electrophoresis to allow comparative analysis of the dominant AOB populations and the phylogenetic affiliation of the dominant AOB was determined by cloning and sequencing or direct sequencing of bands excised from DGGE gels. Different AOB were found within and between different reactors. All AOB sequences identified were grouped within the genus Nitrosomonas. Within the lab-scale reactors there appeared to be selection for a low diversity of AOB and predominance of a single AOB population. Furthermore, the industrial input in both effluents apparently selected for salt tolerant AOB, most closely related to Nitrosococcus mobilis and Nitrosomonas halophila.

2002 ◽  
Vol 46 (1-2) ◽  
pp. 319-322 ◽  
Author(s):  
A.K. Rowan ◽  
J.R. Snape ◽  
D. Fearnside ◽  
T.P. Curtis ◽  
M.R. Barer ◽  
...  

Lab-scale reactors are commonly used to simulate full-scale plants as they permit the effects of defined experimental perturbations to be evaluated. Ideally, lab- and full-scale reactors should possess similar microbial populations. To determine this we compared the diversity of the β-proteobacterial autotrophic ammonia-oxidising bacteria (AOB) in a full-scale and lab-scale biological aerated filter (BAF) using PCR with AOB selective primers combined with denaturing gradient gel electrophoresis (DGGE). PCR amplified 16S rRNA gene fragments from the nitrification unit of the lab-and full-scale BAF were subjected to cloning and sequencing to determine the phylogenetic affiliation of the AOB. A high degree of comparability between the lab-and full-scale BAF was observed with respect to AOB populations. However minor differences were apparent. The importance of these minor constituents in the overall performance of the reactor is unknown. Nonetheless the lab-scale reactor in this study did appear to reflect the dominant AOB community within the full-scale equivalent.


2013 ◽  
Vol 68 (12) ◽  
pp. 2676-2682 ◽  
Author(s):  
J. Han ◽  
L. Y. Wang ◽  
B. Y. Cai

The bacterial diversity of an antibiotic industrial wastewater treatment system was analyzed to provide the information required for further optimization of this process and for identification of bacterial strains that perform improved degradation of antibiotic industrial wastewater. The total bacterial DNA of samples collected at three stages (aeration, precipitation, and idle) during the sequencing batch reactor (SBR) process were analyzed by polymerase chain reaction–denaturing gradient gel electrophoresis (PCR-DGGE) of the 16 s rDNA V3 regions. Community analysis was conducted in terms of the richness value (S), the dominance degree and the Shannon–Wiener diversity index (H). Rich bacterial diversity was apparent in the aeration stage of the SBR process, and the number of bands in the aeration stage was more abundant than that in the precipitation and idle stages. The DGGE analysis showed 15 bands, six of which were uncultured bacteria, and included one anaerobic and five aerobic bacteria. The microbial community in the aeration stage was the most complex of the whole SBR process, while the dominant bacteria differed in each reaction stage. These results demonstrate the cyclical dynamic changes in the bacterial population during the SBR process for the treatment of antibiotic industrial wastewater.


2016 ◽  
Vol 15 (3) ◽  
pp. 521-526
Author(s):  
Narcis Barsan ◽  
Mariana Turcu ◽  
Emilian Mo.negu.u ◽  
Mihaela Dascalu ◽  
Dana Chitimus ◽  
...  

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