Municipal wastewater surveillance reveals socioeconomic and immigration gradients in antimicrobial resistance across Alberta, Canada
Lee, J.; Gonzalez, C.; Au, E.; Acosta, N.; Waddell, B. J.; Xu, Z. S.; Clark, R. G.; Weyant, R. B.; Dalton, B.; Zaheer, R.; McAllister, T. A.; Barkema, H.; Nobrega, D.; Bhatnagar, S.; Lee, B. E.; Pang, X.; O'Grady, C.; Frankowski, K.; Bertazzon, S.; Conly, J. M.; Hubert, C. R. J.; Parkins, M. D.
Show abstract
Antimicrobial resistance (AMR) is an ever-increasing threat to population health. Industrial, environmental and societal factors are increasingly recognized as important contributors to AMR within communities. Here, we investigated the spatial distribution of AMR genes (ARGs) across Alberta, Canada and their association with socio-economic, immigration-related, and agro-industrial characteristics using municipal wastewater-based surveillance. We analyzed monthly wastewater metagenomes collected between March 2022 and March 2023 across eleven municipalities, representing 39% of Alberta's population. Integration with census data enabled multivariate analysis, revealing that municipal resistome profiles were strongly structured along income and immigration-related population gradients. ARGs spanning 14 resistance classes exhibited distinct distributional patterns across income and immigration gradients, including contrasting associations among beta-lactam, aminoglycoside, and macrolide-lincosamide-streptogramin ARGs, consistent with heterogeneous selection pressures across sub-populations. These findings demonstrate the capacity of longitudinal wastewater surveillance to identify persistent population-level resistome patterns and highlight the importance of incorporating sociodemographic context into AMR surveillance and mitigation strategies.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Systematic SARS-CoV-2 S Gene Sequencing in Wastewater Samples Enables Early Lineage Detection and Uncovers Rare Mutations in Portugal 96%
- Wastewater to clinical case (WC) ratio of COVID-19 identifies insufficient clinical testing, onset of new variants of concern and population immunity in urban communities 95%
- Understanding the dynamic relation between wastewater SARS-CoV-2 signal and clinical metrics throughout the pandemic 94%
Similar papers in this journal
- Longitudinal metatranscriptomic sequencing of Southern California wastewater representing 16 million people from August 2020-21 reveals widespread transcription of antibiotic resistance genes. 96%
- Longitudinal SARS-CoV-2 RNA Wastewater Monitoring Across a Range of Scales Correlates with Total and Regional COVID-19 Burden in a Well-Defined Urban Population 96%
- ROS-Induced Stress Promotes Enrichment and Emergence of Antibiotic Resistance in Conventional Activated Sludge Processes 95%
Similar papers in this journal
- Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control 94%
- Treated wastewater irrigation promotes the spread of antibiotic resistance into subsoil pore-water. 93%
- A global baseline for qPCR-determined antimicrobial resistance gene prevalence across environments 93%
Similar papers in this journal
- Disentangling abiotic and biotic effects of treated wastewater on stream biofilm resistomes enables the discovery of a new planctomycete beta-lactamase 95%
- Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome 93%
- Degradation pathways for organic matter of terrestrial origin are widespread and expressed in Arctic Ocean microbiomes 92%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.