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Prevalence of Pseudomonas aeruginosa in Australian wild birds, native wildlife, livestock and domestic animals

Strickland, K. R.; Jelocnik, M.; Price, E. P.; Sarovich, D. S.

2025-06-24 microbiology
10.1101/2025.06.23.661201 bioRxiv
Show abstract

The ESKAPE pathogen, Pseudomonas aeruginosa, poses a serious threat to medical, veterinary, and agricultural practices globally. Understanding P. aeruginosa prevalence in wild bird populations, livestock, and domestic animals is vital for evaluating potential infection reservoirs. In this study, we screened 1,669 DNA samples obtained between 2010 and 2023 from healthy and diseased wild birds (n= 1,101), domestic animals (n= 269), livestock (n= 133), kangaroos (n= 39,) and koalas (n= 127) from Southeast Queensland, Australia, for both P. aeruginosa and overall bacterial load using an ecfX-16S rRNA duplex real-time PCR assay. P. aeruginosa-positive samples were also screened for the two most common fluoroquinolone resistance genotypes, GyrA Thr83Ile and GyrA Asp87Asn. Overall, only 1.8% samples were P. aeruginosa positive, a lower rate than reported in international studies. Livestock samples showed the highest P. aeruginosa prevalence (4.5%, n= 6), primarily horses (7.4%, n= 5), with wild birds (1.5%, n= 17), koalas (1.6% n= 2), and domestic animals (1.9%, n= 5) having the next highest rates. In contrast, no P. aeruginosa positive samples were identified in cattle (n= 45) or kangaroos (n= 39). Nearly all positive wild bird samples originated from eye swabs (94%, n=16). No additional correlation between swab site, health status, or admission cause was identified. The GyrA Thr83Ile variant was seen in 2/30 (6.6%) P. aeruginosa-positive samples, both of horse origin. Our findings provide important insight into the epidemiology of P. aeruginosa in Australian wildlife and domestic animal populations. Further prevalence studies, particularly covering a broader geographical region, are warranted to better elucidate nationwide P. aeruginosa carriage, infection, and fluoroquinolone resistance rates.

Published in Scientific Reports (predicted rank #16) · training set

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