Abstract
The objective of this study was to estimate and compare the occurrence of AMR in wild red foxes in relation to human population densities. Samples from wild red foxes (n = 528) included in the Norwegian monitoring programme on antimicrobial resistance in bacteria from food, feed and animals were included. All samples were divided into three different groups based on population density in the municipality where the foxes were hunted. Of the 528 samples included, 108 (20.5%), 328 (62.1%) and 92 (17.4%) originated from areas with low, medium and high population density, respectively. A single faecal swab was collected from each fox. All samples were plated out on a selective medium for Enterobacteriaceae for culturing followed by inclusion and susceptibility testing of one randomly selected Escherichia coli to assess the overall occurrence of AMR in the Gram-negative bacterial population. Furthermore, the samples were subjected to selective screening for detection of E. coli displaying resistance towards extended-spectrum cephalosporins and fluoroquinolones. In addition, a subset of samples (n = 387) were subjected to selective culturing to detect E. coli resistant to carbapenems and colistin, and enterococci resistant to vancomycin. Of these, 98 (25.3%), 200 (51.7%) and 89 (23.0%) originated from areas with low, medium and high population density, respectively. Overall, the occurrence of AMR in indicator E. coli from wild red foxes originating from areas with different human population densities in Norway was low to moderate (8.8%). The total occurrence of AMR was significantly higher; χ2 (1,N = 336) = 6.53, p = 0.01 in areas with high population density compared to areas with medium population density. Similarly, the occurrence of fluoroquinolone resistant E. coli isolated using selective detection methods was low in areas with low population density and more common in areas with medium or high population density. In conclusion, we found indications that occurrence of AMR in wild red foxes in Norway is associated with human population density. Foxes living in urban areas are more likely to be exposed to AMR bacteria and resistance drivers from food waste, garbage, sewage, waste water and consumption of contaminated prey compared to foxes living in remote areas. The homerange of red fox has been shown to be limited thereby the red fox constitutes a good sentinel for monitoring antimicrobial resistance in the environment. Continuous monitoring on the occurrence of AMR in different wild species, ecological niches and geographical areas can facilitate an increased understanding of the environmental burden of AMR in the environment. Such information is needed to further assess the impact for humans, and enables implementation of possible control measures for AMR in humans, animals and the environment in a true “One Health” approach.
Highlights
Antimicrobial resistance (AMR) is considered one of the main public health challenges in modern times [1]
The occurrence of AMR in indicator E. coli from wild red foxes in Norway were low to moderate according to the definition suggested by EFSA and European Centre for Disease Prevention and Control (ECDC) [24]
The occurrence of AMR was significantly higher in areas with high population density compared to areas with medium population density
Summary
Antimicrobial resistance (AMR) is considered one of the main public health challenges in modern times [1]. The difference in home range size is explained by studies showing that fragmented agricultural landscapes and vicinity to human settlements allow for high prey densities, leading to smaller home ranges of red foxes in urban areas. This enables comparison of differences in the occurrences of AMR among foxes living in areas with different human population densities, possibly reflecting differences in the occurrence of resistance drivers and environmental load of resistant bacteria. It is a potential risk of transmission of AMR from the environment to humans and it is of importance to gain knowledge of the environmental burden of AMR to enable targeted measures for risk reduction
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