Insights into the circular: The cryptic plasmidome and its derived antibiotic resistome in the urban water systems

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Plasmids have been a concern in the dissemination and evolution of antibiotic resistance in the environment. In
this study, we investigated the total pool of plasmids (plasmidome) and its derived antibiotic resistance genes
(ARGs) in different compartments of urban water systems (UWSs) in three European countries representing
different antibiotic usage regimes. We applied a direct plasmidome approach using wet-lab methods to enrich
circular DNA in the samples, followed by shotgun sequencing and in silico contig circularisation. We identified
9538 novel sequences in a total of 10,942 recovered circular plasmids. Of these, 66 were identified as con-
jugative, 1896 mobilisable and 8970 non-mobilisable plasmids. The UWSs’ plasmidome was dominated by small
plasmids (≤10 Kbp) representing a broad diversity of mobility (MOB) types and incompatibility (Inc) groups. A
shared collection of plasmids from different countries was detected in all treatment compartments, and plasmids
could be source-tracked in the UWSs. More than half of the ARGs-encoding plasmids carried mobility genes for
mobilisation/conjugation. The richness and abundance of ARGs-encoding plasmids generally decreased with the
flow, while we observed that non-mobilisable ARGs-harbouring plasmids maintained their abundance in the
Spanish wastewater treatment plant. Overall, our work unravels that the UWS plasmidome is dominated by
cryptic (i.e., non-mobilisable, non-typeable and previously unknown) plasmids. Considering that some of these
plasmids carried ARGs, were prevalent across three countries and could persist throughout the UWSs com-
partments, these results should alarm and call for attention.
OriginalsprogEngelsk
Artikelnummer108351
TidsskriftEnvironment International
Vol/bind183
Antal sider12
ISSN0160-4120
DOI
StatusUdgivet - 2024

Bibliografisk note

Funding Information:
This research was funded by a Joint Programming Initiative-Antimicrobial Resistance grant (JPI-AMR; DARWIN project #7044-00004B) to BFS, the DFF-Research Project 2 Grants from the Danish Council for Independent Research | Technology and Production (7017-00210A; SandBAR project) to BFS and a Novo Nordisk Fonden Data Science Collaborative Research Program grant (pTracker - NNF20OC0062223) to SJS. This work has been performed using the Danish National Life Science Supercomputing Center, Computerome. ZFY wants to thank Xiao Peng (Institute of Microbiology, Chinese Academy of Sciences, China), Dr Hanadi Ananbeh (Mendel University in Brno, Czech Republic) and Asmus Kalckar Olesen (University of Copenhagen, Denmark) for assistance in sample pre-treatment.

Funding Information:
This research was funded by a Joint Programming Initiative-Antimicrobial Resistance grant (JPI-AMR; DARWIN project #7044-00004B) to BFS, the DFF-Research Project 2 Grants from the Danish Council for Independent Research | Technology and Production (7017-00210A; SandBAR project) to BFS and a Novo Nordisk Fonden Data Science Collaborative Research Program grant (pTracker - NNF20OC0062223) to SJS. This work has been performed using the Danish National Life Science Supercomputing Center, Computerome.

Publisher Copyright:
© 2023 The Authors

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