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A comparative study of the bacterial community in denitrifying and traditional enhanced biological phosphorus removal processes

  • Harbin Institute of Technology Shenzhen
  • Shenzhen Key Laboratory of Water Resource Utilization and Environmental Pollution Control
  • Public Platform for Technological Service in Urban Waste Reuse and Energy Regeneration

Research output: Contribution to journalArticlepeer-review

Abstract

Denitrifying phosphorus removal is an attractive wastewater treatment process due to its reduced carbon source demand and sludge minimization potential. Two lab-scale sequencing batch reactors (SBRs) were operated in alternating anaerobic-anoxic (A-A) or anaerobic-oxic (A-O) conditions to achieve denitrifying enhanced biological phosphate removal (EBPR) and traditional EBPR. No significant differences were observed in phosphorus removal efficiencies between A-A SBR and A-O SBR, with phosphorus removal rates being 87.9% and 89.0% respectively. The community structures in denitrifying and traditional EBPR processes were evaluated by high-throughput sequencing of the PCR-amplified partial 16S rRNA genes from each sludge. The results obtained showed that the bacterial community was more diverse in A-O sludge than in A-A sludge. Taxonomy and β-diversity analyses indicated that a significant shift occurred in the dominant microbial community in A-A sludge compared with the seed sludge during the whole acclimation phase, while a slight fluctuation was observed in the abundance of the major taxonomies in A-O sludge. One Dechloromonas-related OTU outside the 4 known Candidatus “Accumulibacter” clades was detected as the main OTU in A-A sludge at the stationary operation, while Candidatus “Accumulibacter” dominated in A-O sludge.

Original languageEnglish
Pages (from-to)261-268
Number of pages8
JournalMicrobes and Environments
Volume29
Issue number3
DOIs
StatePublished - 17 Sep 2014
Externally publishedYes

Keywords

  • Denitrifying phosphorous removal
  • EBPR
  • Microbial community
  • Pyrosequencing

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