Aspirin altered antibiotic resistance genes response to sulfonamide in the gut microbiome of zebrafish

被引:0
|
作者
Guo, Xueping [1 ,2 ]
Zhao, Wanting [1 ]
Yin, Daqiang [1 ,2 ]
Mei, Zhi [3 ,4 ]
Wang, Fang [3 ,4 ]
Tiedje, James [5 ]
Ling, Siyuan [6 ]
Hu, Shuangqing [6 ]
Xu, Ting [1 ,2 ]
机构
[1] Tongji Univ, Coll Environm Sci & Engn, Key Lab Yangtze River Water Environm, Minist Educ, Shanghai 200092, Peoples R China
[2] Shanghai Inst Pollut Control & Ecol Secur, Shanghai 200092, Peoples R China
[3] Chinese Acad Sci, Inst Soil Sci, CAS Key Lab Soil Environm & Pollut Remediat, Nanjing 210008, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[5] Michigan State Univ, Ctr Microbial Ecol, E Lansing, MI 48824 USA
[6] Shanghai Acad Environm Sci, State Environm Protect Key Lab Environm Hlth Impac, Shanghai 200233, Peoples R China
关键词
Non-antibiotic pharmaceuticals; Antimicrobial resistance; High-throughput qPCR; Mobile genetic elements; IMPACT; WATER; CONTRIBUTE; DYSBIOSIS; SEQUENCES; SYSTEMS; HEALTH; IMMUNE;
D O I
10.1016/j.envpol.2024.124566
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Pharmaceuticals are widespread in aquatic environments and might contribute to the prevalence of antibiotic resistance. However, the co-effect of antibiotics and non-antibiotic pharmaceuticals on the gut microbiome of fish is poorly understood. In this study, we characterized the variation of the zebrafish gut microbiome and resistome after exposure to sulfamethoxazole (SMX) and aspirin under different treatments. SMX contributed to the significant increase in the antibiotic resistance genes (ARGs) richness and abundance with 46 unique ARGs and five mobile genetic elements (MGEs) detected. Combined exposure to SMX and aspirin enriched total ARGs abundance and rearranged microbiota under short-term exposure. Exposure time was more responsible for resistome and the gut microbiome than exposure concentrations. Perturbation of the gut microbiome contributed to the functional variation related to RNA processing and modification, cell motility, signal transduction mechanisms, and defense mechanisms. A strong significant positive correlation (R = 0.8955, p < 0.001) was observed between total ARGs and MGEs regardless of different treatments revealing the key role of MGEs in ARGs transmission. Network analysis indicated most of the potential ARGs host bacteria belonged to Proteobacteria. . Our study suggested that co-occurrence of non-antibiotics and antibiotics could accelerate the spread of ARGs in gut microbial communities and MGEs played a key role.
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页数:8
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