Abstract
Wastewaters (WW) are important sources for the dissemination of antimicrobial resistance (AMR) into the environment. Hospital WW (HWW) contain higher loads of micro-pollutants and AMR markers than urban WW (UWW). Little is known about the long-term dynamics of H and U WW and the impact of their joined treatment on the general burden of AMR. Here, we characterized the resistome, microbiota and eco-exposome signature of 126 H and U WW samples treated separately for three years, and then mixed, over one year. Multi-variate analysis and machine learning revealed a robust signature for each WW with no significant variation over time before mixing, and once mixed, both WW closely resembled Urban signatures. We demonstrated a significant impact of pharmaceuticals and surfactants on the resistome and microbiota of H and U WW. Our results present considerable targets for AMR related risk assessment of WW.
| Original language | English |
|---|---|
| Article number | 100045 |
| Journal | Water Research X |
| Volume | 7 |
| DOIs | |
| Publication status | Published - 1 May 2020 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
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SDG 11 Sustainable Cities and Communities
Keywords
- Antimicrobial resistance
- Hospital and urban wastewater
- Hospital and urban wastewater eco-exposome
- Microbiota
- Resistome (ARGs and MGEs)
- WW signatures
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