Microbial community functional structures in wastewater treatment plants as characterized by GeoChip

PLoS One. 2014 Mar 26;9(3):e93422. doi: 10.1371/journal.pone.0093422. eCollection 2014.

Abstract

Background: Biological WWTPs must be functionally stable to continuously and steadily remove contaminants which rely upon the activity of complex microbial communities. However, knowledge is still lacking in regard to microbial community functional structures and their linkages to environmental variables.

Aims: To investigate microbial community functional structures of activated sludge in wastewater treatment plants (WWTPs) and to understand the effects of environmental factors on their structure.

Methods: 12 activated sludge samples were collected from four WWTPs in Beijing. A comprehensive functional gene array named GeoChip 4.2 was used to determine the microbial functional genes involved in a variety of biogeochemical processes such as carbon, nitrogen, phosphorous and sulfur cycles, metal resistance, antibiotic resistance and organic contaminant degradation.

Results: High similarities of the microbial community functional structures were found among activated sludge samples from the four WWTPs, as shown by both diversity indices and the overlapped genes. For individual gene category, such as egl, amyA, lip, nirS, nirK, nosZ, ureC, ppx, ppk, aprA, dsrA, sox and benAB, there were a number of microorganisms shared by all 12 samples. Canonical correspondence analysis (CCA) showed that the microbial functional patterns were highly correlated with water temperature, dissolved oxygen (DO), ammonia concentrations and loading rate of chemical oxygen demand (COD). Based on the variance partitioning analyses (VPA), a total of 53% of microbial community variation from GeoChip data can be explained by wastewater characteristics (25%) and operational parameters (23%), respectively.

Conclusions: This study provided an overall picture of microbial community functional structures of activated sludge in WWTPs and discerned the linkages between microbial communities and environmental variables in WWTPs.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Ascomycota / genetics
  • Bacterial Proteins / genetics
  • Bacterial Proteins / metabolism
  • Drug Resistance, Bacterial / genetics
  • Euryarchaeota / genetics
  • Genes, Archaeal
  • Genes, Bacterial*
  • Genes, Fungal
  • Microbiota / genetics*
  • Molecular Typing
  • Oligonucleotide Array Sequence Analysis
  • Oxidoreductases / genetics
  • Proteobacteria / genetics
  • Sewage / microbiology*
  • Transcriptome
  • Water Microbiology*
  • Water Purification

Substances

  • Bacterial Proteins
  • Sewage
  • Oxidoreductases
  • nitrous oxide reductase

Grants and funding

This study was supported by National Natural Science Foundation of China funds (51078207 and 51178239) and the special fund of State Key Joint Laboratory of Environment Simulation and Pollution Control (12L03ESPC). This study made use of the GeoChip and associated computational pipelines funded by ENIGMA-Ecosystems and Networks Integrated with Genes and Molecular Assemblies through the Office of Science, Office of Biological and Environmental Research, the U. S. Department of Energy under Contract No. DE-AC02-05CH11231. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.