Identifying sources of antibiotic resistance genes in the environment using the microbial Find, Inform, and Test framework

Frontiers in Microbiology
By: , and 

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Abstract

Introduction: Antimicrobial resistance (AMR) is an increasing public health concern for humans, animals, and the environment. However, the contributions of spatially distributed sources of AMR in the environment are not well defined.

Methods: To identify the sources of environmental AMR, the novel microbial Find, Inform, and Test (FIT) model was applied to a panel of five antibiotic resistance-associated genes (ARGs), namely, erm(B), tet(W), qnrA, sul1, and intI1, quantified from riverbed sediment and surface water from a mixed-use region.

Results: A one standard deviation increase in the modeled contributions of elevated AMR from bovine sources or land-applied waste sources [land application of biosolids, sludge, and industrial wastewater (i.e., food processing) and domestic (i.e., municipal and septage)] was associated with 34–80% and 33–77% increases in the relative abundances of the ARGs in riverbed sediment and surface water, respectively. Sources influenced environmental AMR at overland distances of up to 13 km.

Discussion: Our study corroborates previous evidence of offsite migration of microbial pollution from bovine sources and newly suggests offsite migration from land-applied waste. With FIT, we estimated the distance-based influence range overland and downstream around sources to model the impact these sources may have on AMR at unsampled sites. This modeling supports targeted monitoring of AMR from sources for future exposure and risk mitigation efforts.

Study Area

Publication type Article
Publication Subtype Journal Article
Title Identifying sources of antibiotic resistance genes in the environment using the microbial Find, Inform, and Test framework
Series title Frontiers in Microbiology
DOI 10.3389/fmicb.2023.1223876
Volume 14
Year Published 2023
Language English
Publisher Frontiers Media S.A.
Contributing office(s) Columbia Environmental Research Center
Description 1223876, 14 p.
Country United States
State Wisconsin
County Kewaunee County
Other Geospatial Ahnapee River, East Twin River, Kewaunee River
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