| Autor: |
Spänig, Sebastian1 (AUTHOR), Eick, Lisa1 (AUTHOR), Nuy, Julia K.2 (AUTHOR), Beisser, Daniela2 (AUTHOR), Ip, Margaret3 (AUTHOR), Heider, Dominik1 (AUTHOR) dominik.heider@uni-marburg.de, Boenigk, Jens1,2 (AUTHOR) |
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| Zdroj: |
Environment International. Dec2021, Vol. 157, pN.PAG-N.PAG. 1p. |
| Abstrakt: |
[Display omitted] • Quantifying antimicrobial resistance using standardized samples from European lakes. • Multi-omics approach including 16 S rRNA amplicon sequencing and metagenome analysis. • Reference to monitor temporal development of AMR in Europe and other countries. • Resistance levels emphasizing AMR as a significant challenge for future healthcare. The surveillance of wastewater for the Covid-19 virus during this unprecedented pandemic and mapped to the distribution and magnitude of the infected in the population near real-time exemplifies the importance of tracking rapidly changing trends of pathogens or public health problems at a large scale. The rising trends of antimicrobial resistance (AMR) with multidrug-resistant pathogens from the environmental water have similarly gained much attention in recent years. Wastewater-based epidemiology from water samples has shown that a wide range of AMR-related genes is frequently detected. Albeit sewage is treated before release and thus, the abundance of pathogens should be significantly reduced or even pathogen-free, several studies indicated the contrary. Pathogens are still measurable in the released water, ultimately entering freshwaters, such as rivers and lakes. Furthermore, socio-economic and environmental factors, such as chemical industries and animal farming nearby, impact the presence of AMR. Many bacterial species from the environment are intrinsically resistant and also contribute to the resistome of freshwater lakes. This study collected the most extensive standardized freshwater data set from hundreds of European lakes and conducted a comprehensive multi-omics analysis on antimicrobial resistance from these freshwater lakes. Our research shows that genes encoding for AMR against tetracyclines, cephalosporins, and quinolones were commonly identified, while for some, such as sulfonamides, resistance was less frequently present. We provide an estimation of the characteristic resistance of AMR in European lakes, which can be used as a comprehensive resistome dataset to facilitate and monitor temporal changes in the development of AMR in European freshwater lakes. [ABSTRACT FROM AUTHOR] |
| Databáze: |
GreenFILE |
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Full Text from ScienceDirect