Real-time genomic pathogen, resistance, and host range characterization from passive water sampling of wetland ecosystems
Albert PerlasiD, Tim ReskaiD, Alberto Sánchez‐CanoiD, Cristina Mejías-MolinaiD, Daniel GygaxiD, Sandra Martínez‐PucholiD, Marta RusiñoliD, Elias EgeriD, Katharina SchaufleriD, Úrsula HöfleiD, Guillaume CrovilleiD, Guillaume Le Loc’hiD, Jl Guérin, Lara UrbaniD
Abstract
Wetland ecosystems provide interfaces for the transmission of microbial pathogens and antimicrobial resistances (AMR) between migratory birds, wild and domestic animals, and human populations. The efficient surveillance of wetlands is, however, challenging, since the typically low concentration of pathogens typically requires the sampling of large volumes of water and subsequent targeted detection, which is inherently limited to a few pathogens or AMR genes of interest. Here, we present a holistic, accessible, and cost-efficient framework to characterize the pathogen and resistance load of water sources together with their potential associated hosts by combining passive water sampling through torpedo-shaped devices with nanopore sequencing technology. We used this framework to characterize anthropogenically influenced and natural wetland ecosystems along the East Atlantic Flyway, where we obtained robust assessments of the microbial communities from long-read metagenomic and RNA virome data, and showed that anthropogenically impacted wetland ecosystems consistently exhibited higher relative abundances of pathogens and AMR genes. By focusing on avian influenza viruses (AIV), we finally highlight the additional need for targeted screening and whole-genome sequencing of pathogens of interest; we detected and characterized AIV at a third of the monitored sites, and used environmental DNA (eDNA) to explore potential animal hosts to better understand the role of wetland ecosystems as One Health interfaces. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=191 HEIGHT=200 SRC="FIGDIR/small/674394v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@1a006f2org.highwire.dtl.DTLVardef@12824c2org.highwire.dtl.DTLVardef@8554bdorg.highwire.dtl.DTLVardef@17e800e_HPS_FORMAT_FIGEXP M_FIG C_FIG
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- FWCI
- 6.40
- Field percentile
- top 9%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Portable In-Field DNA Sequencing for Rapid Detection of Pathogens and Antimicrobial Resistance: A Proof-of-Concept Study
Stephanie Pillay, David Calderón-Franco, Thomas Abeel·bioRxiv·Oct 5, 2024
- Zoonotic and Avian Pathogen Detections in Fecal and Sediment Samples - A Low-risk, High-throughput One Health Approach to Surveillance
Gabriela J. Rzeszutek, Jordan Wight, … Hannah L. Wallace·bioRxiv·May 6, 2026
- Detecting genes associated with pathogenicity and antimicrobial resistance in three New Zealand waterways.
R. G. Death, R. C. Winkworth, … R. Cosgrove·bioRxiv·Apr 16, 2020
- High levels of antibiotic resistance gene expression among birds living in a wastewater treatment plant
V. Rossetto Marcelino, M. Wille, … E. C. Holmes·BMC BiologyPeer-reviewed·Apr 8, 2019
- Evaluating sampling strategies for the detection of avian influenza viruses in the environment
Allison K. Miller, Lia Heremia, … Jemma L. Geoghegan·VirologyPeer-reviewed·Sep 2, 2026
- Pathogens, Virulence and Resistance Genes Surveillance with Metagenomics Can Pre-empt Dissemination and Escalation of Untreatable Infections: A Systematic Review and Meta-analyses.
J. Osei Sekyere, S. L. Faife·bioRxiv·Jun 30, 2021