Integrated cross-sectoral surveillance of antimicrobial resistance genotypes and phenotypes across disparate reservoirs

Watts, T. D.; Jirapanjawat, T.; Perlaza-Jimenez, L.; Ricci, F.; Tudor-Matthew, E.; Chiri, E.; Bay, S. K.; Grinter, R.; Lappan, R.; Lithgow, T.; Woods, L. C.; Greening, C.

doi:10.1101/2025.10.29.685460

bioRxiv · 10.1101/2025.10.29.685460

Integrated cross-sectoral surveillance of antimicrobial resistance genotypes and phenotypes across disparate reservoirs

Watts, T. D.·Jirapanjawat, T.·Perlaza-Jimenez, L.·Ricci, F.·Tudor-Matthew, E.·Chiri, E.·Bay, S. K.·Grinter, R.·Lappan, R.·Lithgow, T.·Woods, L. C.·Greening, C.

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Abstract

Antimicrobial-resistant (AMR) bacteria and genes are continually exchanged among humans, animals, and environmental reservoirs. Disparate and siloed surveillance methods present a major challenge for tracing and disrupting AMR transmission, with clinical monitoring focusing on detecting specific pathogens or specific genes of interest, and environmental surveys often relying on inferences drawn from indicator organisms. Here, we demonstrate that, following sample-specific pre-processing, common surveillance approaches can be applied consistently to profile AMR abundance, distribution, and phenotypes across diverse reservoirs, including soil, sediment, water, wastewater, and faecal samples from both urban and agricultural settings. Across all sample types, three core methods provided complementary insights: (i) quantitative PCR (qPCR) arrays to measure multiple AMR genes, (ii) gene- and genome-centric metagenomics for comprehensive resistome profiling, and (iii) culture-based genomics with susceptibility testing to link genotypes to phenotypes. We applied this approach to profile 1,032 metagenome-assembled genomes, 66 bacterial isolate genomes, and 78 and 6,442 AMR genes/reference sequences via qPCR and metagenomics, respectively. This integrated framework revealed a moderate prevalence but high diversity of resistance mechanisms in both pathogens and non-pathogenic bacteria with potentially transmissible genes, with wastewater especially enriched in AMR genes. We detected mismatches between genotype and phenotype predictions and a prevalence of intermediate resistance phenotypes, highlighting how many mechanisms of environmental resistance remain poorly understood. Overall, this study demonstrates that unified field-leading surveillance methods can be extended beyond clinical contexts into diverse environmental and animal samples, while highlighting that multiple methods are needed to capture the diverse AMR genotypes and phenotypes in these settings to enable comprehensive monitoring and adaptive solutions to restrict transmission.

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Watts, T. D., Jirapanjawat, T., Perlaza-Jimenez, L., Ricci, F., Tudor-Matthew, E., Chiri, E., Bay, S. K., Grinter, R., Lappan, R., Lithgow, T., Woods, L. C., Greening, C.. 2025-10-30. Integrated cross-sectoral surveillance of antimicrobial resistance genotypes and phenotypes across disparate reservoirs. https://doi.org/10.1101/2025.10.29.685460

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