Characterization of microbial community and antibiotic resistance genes in activated sludge under tetracycline and sulfamethoxazole selection pressure

被引:134
作者
Zhang, Yingying [1 ]
Geng, Jinju [1 ]
Ma, Haijun [1 ]
Ren, Hongqiang [1 ]
Xu, Ke [1 ]
Ding, Lili [1 ]
机构
[1] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resource Reuse, Nanjing 210023, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Microbial community; Antibiotic resistance genes; Tetracycline; Sulfamethoxazole; Activated sludge; WASTE-WATER TREATMENT; EXTRACELLULAR POLYMERIC SUBSTANCES; PERFORMANCE LIQUID-CHROMATOGRAPHY; TANDEM MASS-SPECTROMETRY; SEWAGE-TREATMENT PLANTS; SULFONAMIDE ANTIBIOTICS; VETERINARY ANTIBIOTICS; PYROSEQUENCING REVEALS; BACTERIAL DIVERSITY; TREATMENT SYSTEMS;
D O I
10.1016/j.scitotenv.2016.07.014
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To investigate the microbial community characteristics, antibiotic resistance genes (ARGs), and bioreactor effluent quality change under tetracycline (TC) and sulfamethoxazole (SMX) selection pressure, sequencing batch reactors (SBRs) were used with environmentally relevant concentration and high-level of TC and SMX concentrations (0, 5 ppb, 50 ppb and 10 ppm). Chemical oxygen demand (COD) and ammonia nitrogen (NH4+-N) removals appeared unchanged (p > 0.05) with 5 and 50 ppb, but decreased significantly with 10 ppm (p < 0.05). Extracellular polymeric substances (EPS) concentrations increased significantly with increasing TC or SMX concentrations (p < 0.05). High-throughput 16S rRNA gene sequencing results suggested that Proteobacteria, Actinobacteria and Bacteroidetes were the three most abundant phyla in sludge samples. The Actinobacteria percentages increased with increasing TC or SMX concentration, while Proteobacteria and Bacteroidetes decreased. The microbial diversity achieved its maximum at 5 ppb and decreased with higher concentrations. The total ARGs abundances in sludge increased with addition of TC or SMX, and the higher relative abundances were in the order of sail > tetG > sul2 > tetA > intI1 > tetS > tetC. Pearson correlation analysis showed most ARGs (tetA, tetC, tetG, tetK, tetM, sun) were significantly correlated with intI1 (p < 0.01). (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:479 / 486
页数:8
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