Rodrigues_et_al_2021.pdf (662.28 kB)
Prevalence of multidrug resistance in Pseudomonas spp. isolated from wild bird feces in an urban aquatic environment
journal contribution
posted on 2023-07-26, 15:32 authored by Joana G. C. Rodrigues, Harisree Paramel Nair, Christopher O'Kane, Caray A. WalkerAntimicrobial resistance (AMR) has been detected in the microbiota of wildlife, yet little is known about the origin and impact within the ecosystem. Due to the shortage of nonepizootic surveillance, there is limited understanding of the natural prevalence and circulation of AMR bacteria in the wild animal population, including avian species. In this surveillance study, feces from wild birds in proximity to the River Cam, Cambridge, England, were collected and Pseudomonas spp. were isolated. Of the 115 samples collected, 24 (20.9%; 95% CI, 12.6%‒29.2%) harbored Pseudomonas spp. of which 18 (75%; 95% CI, 58%‒92%) had a multiple antibiotic resistance (MAR) index greater than 0.2. No Pseudomonas spp. isolate in this study was pansusceptible. Resistance was found among the 24 isolates against ciprofloxacin (87.5%; 95% CI, 74.3%‒100%) and cefepime (83.3%; 95% CI, 68.4%‒98.2%), both of which are extensively used to treat opportunistic Pseudomonas spp. infections. The prevalence of Pseudomonas spp. in the wild bird feces sampled during this study is greater than previous, similar studies. Additionally, their multidrug resistance profile provides insight into the potential risk for ecosystem contamination. It further highlights the importance of a One Health approach, including ongoing surveillance efforts that help to develop the understanding of how wildlife, including avifauna, may contribute and disperse AMR across the ecosystem.
History
Refereed
- Yes
Volume
11Issue number
20Page range
14303-14311Publication title
Ecology and EvolutionISSN
2045-7758External DOI
Publisher
WileyFile version
- Published version
Language
- eng
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Legacy posted date
2021-09-23Legacy creation date
2021-09-23Legacy Faculty/School/Department
Faculty of Science & EngineeringUsage metrics
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