4.8 Article

Biotransformation of nitrogen- and sulfur-containing pollutants during coking wastewater treatment: Correspondence of performance to microbial community functional structure

Journal

WATER RESEARCH
Volume 121, Issue -, Pages 338-348

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2017.05.045

Keywords

Coking wastewater; Nitrogen and sulfur containing organic compound; Functional gene; Taxa-function relationship; Microbial network

Funding

  1. National Natural Scientific Foundation of China [21437005]
  2. State Hitech Research and Development Project of the Ministry of Science and Technology of the People's Republic of China [2012AA063401]
  3. State Key Joint Laboratory of Environmental Simulation and Pollution Control [15L03ESPC]

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Although coking wastewater is generally considered to contain high concentration of nitrogen-and sulfur-containing pollutants, the biotransformation processes of these compounds have not been well understood. Herein, a high throughput functional gene array (GeoChip 5.0) in combination with Illumina MiSeq sequencing of the 16S rRNA gene were used to identify microbial functional traits and their role in biotransformation of nitrogen-and sulfur-containing compounds in a bench-scale aerobic coking wastewater treatment system operated for 488 days. Biotransformation of nitrogen and sulfur-containing pollutants deteriorated when pH of the bioreactor was increased to > 8.0, and the microbial community functional structure was significantly associated with pH (Mantels test, P < 0.05). The release of ammonia nitrogen and sulfate was correlated with both the taxonomic and functional microbial community structure (P < 0.05). Considering the abundance and correlation with the release of ammonia nitrogen and sulfate, aromatic dioxygenases (e.g. xylXY, nagG), nitrilases (e.g. nhh, nitrilase), dibenzothiophene oxidase (DbtAc), and thiocyanate hydrolase (scnABC) were important functional genes for biotransformation of nitrogen-and sulfur-containing pollutants. Functional characterization of taxa and network analysis suggested that Burkholderiales, Actinomycetales, Rhizobiales, Pseudomonadales, and Hydrogenophiliales (Thiobacillus) were key functional taxa. Variance partitioning analysis showed that pH and influent ammonia nitrogen jointly explained 25.9% and 35.5% of variation in organic pollutant degrading genes and microbial community structure, respectively. This study revealed a linkage between microbial community functional structure and the likely biotransformation of nitrogen-and sulfurcontaining pollutants, along with a suitable range of pH (7.0-7.5) for stability of the biological system treating coking wastewater. (C) 2017 Elsevier Ltd. All rights reserved.

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