Literature DB >> 26954310

Distribution patterns of nitrogen micro-cycle functional genes and their quantitative coupling relationships with nitrogen transformation rates in a biotrickling filter.

Honglei Wang1, Guodong Ji2, Xueyuan Bai3.   

Abstract

The present study explored the distribution patterns of nitrogen micro-cycle genes and the underlying mechanisms responsible for nitrogen transformation at the molecular level (genes) in a biotrickling filter (biofilter). The biofilter achieved high removal efficiencies for ammonium (NH4(+)-N) (80-94%), whereas nitrate accumulated at different levels under a progressive NH4(+)-N load. Combined analyses revealed the anammox, nas, napA, narG, nirS, and nxrA genes were the dominant enriched genes in different treatment layers. The presence of simultaneous nitrification, ammonium oxidation (anammox), and dissimilatory nitrate reduction to ammonium (DNRA) were the primary factors accounted for the robust NH4(+)-N treatment performance. The presence of DNRA, nitrification, and denitrification was determined to be a pivotal pathway that contributed to the nitrate accumulation in the biofilter. The enrichment of functional genes at different depth gradients and the multi-path coupled cooperation at the functional gene level are conducive to achieving complete nitrogen removal.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biofilter; DNRA; Distribution pattern; Nitrification; Quantitative relationship

Mesh:

Substances:

Year:  2016        PMID: 26954310     DOI: 10.1016/j.biortech.2016.02.119

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  2 in total

1.  Variation of microbial communities and functional genes during the biofilm formation in raw water distribution systems and associated effects on the transformation of nitrogen pollutants.

Authors:  Wei Chen; Yanmei Gu; Hang Xu; Zhigang Liu; Chunhui Lu; Chenshuo Lin
Journal:  Environ Sci Pollut Res Int       Date:  2017-05-13       Impact factor: 4.223

2.  Quantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment.

Authors:  Honglei Wang; Na Deng; Duoyang Wu; Shu Hu
Journal:  Sci Rep       Date:  2017-08-10       Impact factor: 4.379

  2 in total

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