The biological treatment of wastewater with high concentrations of ammonia nitrogen has become a hot research issue, but there are limited reports on the mechanism of ammonia nitrogen utilization by microorganisms. In this paper, a transcriptomic approach was used to investigate the differences in gene expression at 500.0Â mg/L (Amo 500) and 100.0Â mg/L (Amo 100) ammonium concentrations to reveal the mechanism of ammonia nitrogen removal from water by Pseudomonas stutzeri F2. The transcriptome data showed 1015 (459 up-regulated and 556 down-regulated) differentially expressed genes with functional gene annotation related to nitrogen source metabolism, glycolysis, tricarboxylic acid cycle, extracellular polysaccharide synthesis, energy conversion and transmembrane transport, revealing the metabolic process of ammonium nitrogen conversion to biological nitrogen in P. stutzeri F2 through assimilation. To verify the effect of ammonium transporter protein (AmtB) of cell membrane on assimilation, a P. stutzeri F2-ÎamtB mutant strain was obtained by constructing a knockout plasmid (pK18mobsacB-ÎamtB), and it was found that the growth characteristics and ammonium removal rate of the mutant strain were significantly reduced at high ammonium concentration. The carbon source components and dissolved oxygen conditions were optimized after analyzing the transcriptome data, and the ammonium removal rate was increased from 41.23% to 94.92% with 500.0Â mg/L ammonium concentration. The study of P. stutzeri F2 transcript level reveals the mechanism of ammonia nitrogen influence on microbial assimilation process and improvement strategy, which provides a new strategy for the treatment of ammonia nitrogen wastewater.
Transcriptomics reveals the effect of ammonia nitrogen concentration on Pseudomonas stutzeri F2 assimilation and the analysis of amtB function.
转录组学揭示了氨氮浓度对斯氏假单胞菌 F2 同化作用的影响以及 amtB 功能的分析
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作者:Fu Wei-Lai, Duan Pei-Feng, Wang Qiang, Liao Ya-Xin, Wang Yun-Shuang, Xu Mei-Juan, Jiang Hui-Hui, Zhang Xian, Rao Zhi-Ming
| 期刊: | Synthetic and Systems Biotechnology | 影响因子: | 4.400 |
| 时间: | 2023 | 起止号: | 2023 Mar 6; 8(2):262-272 |
| doi: | 10.1016/j.synbio.2023.03.002 | 研究方向: | 其它 |
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