Publication Details

Category Text Publication
Reference Category Journals
DOI 10.3390/w15132432
Licence creative commons licence
Title (Primary) Identification of antibiotic resistance gene hosts in treatment wetlands using a single-cell based high-throughput approach
Author Knecht, C.A.; Hinkel, M.; Mäusezahl, I.; Kaster, A.-K.; Nivala, J.; Müller, J.A.
Source Titel Water
Year 2023
Department UMB; UBT; UBZ
Volume 15
Issue 13
Page From art. 2432
Language englisch
Topic T7 Bioeconomy
Supplements https://www.mdpi.com/article/10.3390/w15132432/s1
Keywords antimicrobial resistance; wastewater; constructed wetland; single-cell analysis; epicPCR
Abstract Determining the prevalence of antimicrobial resistance (AMR) in non-clinical settings is vital for better management of the global AMR crisis. Untreated and even treated wastewaters are important sources that release AMR into the environment. Methodologically, it is difficult to generate a comprehensive in situ profile of antibiotic resistance gene hosts. Here, we used epicPCR (emulsion, paired isolation, and concatenation PCR) as a cultivation-independent method to reveal the host profiles of the AMR indicator genes intI1, sul1, sul2, and dfrA1 in two constructed wetlands treating municipal wastewater. Overall, the epicPCR analysis revealed a profile of AMR indicator gene hosts that is consistent with literature data from cultivation-based approaches. Most carriers of antibiotic resistance (AR) genes and likely of class 1 integrons belonged to the Gammaproteobateria, particularly the Burkholderiaceae and Rhodocyclaceae families, followed by members of the Campylobacterota, Desulfobacterota, and Firmicutes. The analysis also identified several novel hosts for the indicator genes widely distributed in the wetlands, including the genera Legionella and Ralstonia. Therefore, the application of epicPCR has produced an expanded insight into the in situ indicator gene host profile, while highlighting the role of the environment as a reservoir for AMR.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=27491
Knecht, C.A., Hinkel, M., Mäusezahl, I., Kaster, A.-K., Nivala, J., Müller, J.A. (2023):
Identification of antibiotic resistance gene hosts in treatment wetlands using a single-cell based high-throughput approach
Water 15 (13), art. 2432 10.3390/w15132432