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Performance Assessment of Full-Scale Wastewater Treatment Plants Based on Seasonal Variability of Microbial Communities via High-Throughput Sequencing

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  • Tang Liu
  • Shufeng Liu
  • Maosheng Zheng
  • Qian Chen
  • Jinren Ni

Abstract

Microbial communities of activated sludge (AS) play a key role in the performance of wastewater treatment processes. However, seasonal variability of microbial population in varying AS-based processes has been poorly correlated with operation of full-scale wastewater treatment systems (WWTSs). In this paper, significant seasonal variability of AS microbial communities in eight WWTSs located in the city of Guangzhou were revealed in terms of 16S rRNA-based Miseq sequencing. Furthermore, variation redundancy analysis (RDA) demonstrated that the microbial community compositions closely correlated with WWTS operation parameters such as temperature, BOD, NH4+-N and TN. Consequently, support vector regression models which reasonably predicted effluent BOD, SS and TN in WWTSs were established based on microbial community compositions. This work provided an alternative tool for rapid assessment on performance of full-scale wastewater treatment plants.

Suggested Citation

  • Tang Liu & Shufeng Liu & Maosheng Zheng & Qian Chen & Jinren Ni, 2016. "Performance Assessment of Full-Scale Wastewater Treatment Plants Based on Seasonal Variability of Microbial Communities via High-Throughput Sequencing," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-15, April.
    • Handle: RePEc:plo:pone00:0152998
    DOI: 10.1371/journal.pone.0152998
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    1. John D. Coates & Romy Chakraborty & Joseph G. Lack & Susan M. O'Connor & Kimberly A. Cole & Kelly S. Bender & Laurie A. Achenbach, 2001. "Anaerobic benzene oxidation coupled to nitrate reduction in pure culture by two strains of Dechloromonas," Nature, Nature, vol. 411(6841), pages 1039-1043, June.
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