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Effects of tetracycline and ibuprofen on the relative abundance of microbial eukaryotic and bacterial populations in wastewater treatment.
- Source :
-
Water science and technology : a journal of the International Association on Water Pollution Research [Water Sci Technol] 2018 May; Vol. 2017 (2), pp. 430-440. - Publication Year :
- 2018
-
Abstract
- The activated sludge process in a wastewater treatment plant (WWTP) relies on the activity of microbes to reduce the organic and inorganic matter and produce effluent that is safe to discharge into receiving waters. This research examined the effects of the non-steroidal anti-inflammatory drug ibuprofen and the antibiotic tetracycline on the relative abundance and composition of eukaryotes and bacteria in the microbial population present in activated sludge from a WWTP. The current investigation was designed to observe the impact of these contaminants, at low (environmentally relevant concentrations) as well as high concentrations of the drugs. Using 16S and 18S rRNA gene primer sets and quantitative polymerase chain reaction, the abundance of each population was monitored as well as the relative ratio of the two populations under the various conditions. It was found that current environmentally relevant concentrations of ibuprofen (100 ng/mL) stimulated eukaryotic growth but higher concentrations (2,000 ng/mL, 100,000 ng/mL) reduced their numbers significantly especially in the presence of tetracycline. Finally using denaturing gradient gel electrophoresis, some of the more abundant eukaryotes were identified and it was noted that high ibuprofen and tetracycline concentrations favoured the abundance of some genera.
- Subjects :
- Anti-Bacterial Agents analysis
Anti-Inflammatory Agents, Non-Steroidal analysis
Bacteria drug effects
Eukaryota drug effects
RNA, Bacterial analysis
RNA, Ribosomal analysis
Wastewater microbiology
Bacteria classification
Eukaryota classification
Ibuprofen analysis
Tetracycline analysis
Waste Disposal, Fluid
Wastewater analysis
Water Pollutants, Chemical analysis
Subjects
Details
- Language :
- English
- ISSN :
- 0273-1223
- Volume :
- 2017
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Water science and technology : a journal of the International Association on Water Pollution Research
- Publication Type :
- Academic Journal
- Accession number :
- 29851395
- Full Text :
- https://doi.org/10.2166/wst.2018.158