| Title |
Abundance and distribution of antibiotic resistance genes in a full-scale anaerobic–aerobic system alternately treating ribostamycin, spiramycin and paromomycin production wastewater
|
|---|---|
| Published in |
Environmental Geochemistry and Health, May 2017
|
| DOI | 10.1007/s10653-017-9987-5 |
| Pubmed ID | |
| Authors |
Mei Tang, Xiaomin Dou, Chunyan Wang, Zhe Tian, Min Yang, Yu Zhang |
| Abstract |
The occurrence of antibiotic-resistant bacteria and antibiotic resistance genes (ARGs) has been intensively investigated for wastewater treatment systems treating single class of antibiotic in recent years. However, the impacts of alternately occurring antibiotics in antibiotic production wastewater on the behavior of ARGs in biological treatment systems were not well understood yet. Herein, techniques including high-capacity quantitative PCR and quantitative PCR (qPCR) were used to investigate the behavior of ARGs in an anaerobic-aerobic full-scale system. The system alternately treated three kinds of antibiotic production wastewater including ribostamycin, spiramycin and paromomycin, which referred to stages 1, 2 and 3. The aminoglycoside ARGs (52.1-79.3%) determined using high-capacity quantitative PCR were the most abundant species in all sludge samples of the three stages. The total relative abundances of macrolide-lincosamide-streptogramin (MLS) resistance genes and aminoglycoside resistance genes measured using qPCR were significantly higher (P < 0.05) in aerobic sludge than in sewage sludge. However, the comparison of ARGs acquired from three alternate stages revealed that MLS genes and the aminoglycoside ARGs did not vary significantly (P > 0.05) in both aerobic and anaerobic sludge samples. In aerobic sludge, one acetyltransferase gene (aacA4) and the other three nucleotidyltransferase genes (aadB, aadA and aadE) exhibited positive correlations with intI1 (r (2) = 0.83-0.94; P < 0.05), implying the significance of horizontal transfer in their proliferation. These results and facts will be helpful to understand the abundance and distribution of ARGs from antibiotic production wastewater treatment systems. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 11% |
| Other | 2 | 6% |
| Researcher | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 7 | 20% |
| Unknown | 16 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 5 | 14% |
| Agricultural and Biological Sciences | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 18 | 51% |
Attention Score in Context
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#21,358,731
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#742
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Outputs of similar age from Environmental Geochemistry and Health
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