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Volume 39 Issue 3
Jul.  2021
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Article Contents
WU Dai-shun, CHANG Huan-huan, CHEN Cui-zhong, YANG Hao, HOU Hong-xun, SUN Hong-wei. EFFECTS OF FREE AMMONIA (FA) ON STRUCTURE AND DIVERSITY OF MICROFLORA IN SBR SHORT-CUT NITRIFICATION PROCESS[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(3): 82-89. doi: 10.13205/j.hjgc.202103012
Citation: WU Dai-shun, CHANG Huan-huan, CHEN Cui-zhong, YANG Hao, HOU Hong-xun, SUN Hong-wei. EFFECTS OF FREE AMMONIA (FA) ON STRUCTURE AND DIVERSITY OF MICROFLORA IN SBR SHORT-CUT NITRIFICATION PROCESS[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(3): 82-89. doi: 10.13205/j.hjgc.202103012

EFFECTS OF FREE AMMONIA (FA) ON STRUCTURE AND DIVERSITY OF MICROFLORA IN SBR SHORT-CUT NITRIFICATION PROCESS

doi: 10.13205/j.hjgc.202103012
  • Received Date: 2020-10-15
    Available Online: 2021-07-19
  • Based on 16S rRNA genes-Illumina MiSeq high-throughput sequencing, this study was aimed to investigate the community composition and structural characteristics of microorganisms under different free ammonia (FA) concentrations (0.5, 5, 10, 15 mg/L), and it was settled in four parallel laboratory-scale sequencing batch reactors (SBRs, denoted as R0.5, R5, R10 and R15) to better understand how FA concentrations influenced the nitrification. The results showed that FA could significantly affect the composition, population structure and function of the microbial community in the system. The diversity index(including Chao1, ACE, Shannon and Simpson index) of R0.5 was the largest among the four groups of reactors, indicating that species diversity of R0.5 was the highest, while the lowest was achieved in R15. In addition, Proteobacteria (45.9%~70.5%) and Bacteroidetes (11.8%~41.3%) were found to be major groups with higher relative abundance at the phylum level, and the relative abundance of Proteobacteria increased with the increase of FA concentration. At the microbial level, Zoogloea and Thauera were the dominant generas, and Nitrosomonas and Nitrospira had significantly higher abundance in R10 than the other systems. A total of 25 groups of microorganisms with significant differences were obtained based on LEfSe analysis, thereby key biomarkers of the microflora were obtained at the microbiological classification level, under each FA concentration.
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