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Pyrosequencing for Microbial Identification and Characterization
Published on: August 22, 2013
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Microbial community in a hydrogenotrophic denitrification reactor based on pyrosequencing.
Hongyu Wang1, Qiulai He2, Dan Chen2
1School of Civil Engineering, Wuhan University, Wuhan, 430072, China. hywang96@126.com.
Applied Microbiology and Biotechnology
|August 20, 2015
Summary
Optimizing conditions like pH and temperature enhances hydrogenotrophic denitrification in bioreactors. Microbial analysis revealed Firmicutes and Clostridia as dominant bacterial groups, with Proteiniclasticum being the most abundant genus.
Area of Science:
- Environmental microbiology
- Bioreactor engineering
- Wastewater treatment
Background:
- Hydrogenotrophic denitrification is crucial for removing nitrates from wastewater.
- Understanding microbial communities is key to optimizing bioreactor performance.
- Lab-scale studies provide controlled environments for investigating denitrification factors.
Purpose of the Study:
- To determine optimal operational parameters for hydrogenotrophic denitrification.
- To characterize the bacterial community structure in bioreactors.
- To provide insights into microbial dynamics during denitrification.
Main Methods:
- Investigation of key factors (biomass loading, pH, temperature, nitrate loading, C/N ratio) in lab-scale bioreactors.
- Utilizing 454-pyrosequencing to analyze 16S ribosomal RNA (16S rRNA) genes.
- Comparing taxonomic complexities at phylum, class, and genus levels.
Main Results:
- Optimal conditions identified: OD600 of 0.173, pH 6.0-7.0, 35°C, 105 mg/L nitrate loading, and C/N ratio of 30.
- Over 62,000 effective sequences were obtained from two samples (Y1 and Y2).
- Firmicutes and Clostridia were the most abundant phylum and class, respectively. Genus Proteiniclasticum predominated.
Conclusions:
- The study successfully identified optimal conditions for hydrogenotrophic denitrification.
- Bacterial community analysis revealed significant microbial diversity and dominant taxa.
- Findings contribute novel insights into the hydrogenotrophic denitrification process and associated microbial structures.
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