Journal article
Epidemiology of antimicrobial resistance in commensal Escherichia coli from healthy dairy cattle on a Mediterranean pasture-based system of Australia: A cross-sectional study
M Tree, TJGM Lam, S McDougall, DS Beggs, ID Robertson, AL Barnes, A Chopra, R Ram, CA Stockman, TC Kent, JW Aleri
Journal of Dairy Science | ELSEVIER SCIENCE INC | Published : 2025
Open access
Abstract
This study aimed to determine the prevalence of antimicrobial resistance (AMR) in commensal Escherichia coli from healthy lactating cows and calves in the Mediterranean pasture-based feeding dairy system of Western Australia (WA). Fecal samples were collected from healthy adult lactating cows and healthy calves from dairy farms in WA. Presumptive commensal E. coli was isolated from these samples and confirmed using matrix-assisted laser-desorption/ionization time-of-flight mass spectrometry. Broth microdilution was used to assess the prevalence and the phenotypic AMR profiles of the E. coli isolates to 8 antimicrobial agents of dairy industry and human importance. The minimum inhibitory conc..
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Awarded by School of Veterinary Medicine, Louisiana State University
Funding Acknowledgements
This study was supported by a grant from Dairy Australia (grant no.16085) , Murdoch University (grant no. 13363 and 19357) , and an Australian Government Research Training Program Scholarship through Murdoch University (Murdoch, WA, Australia) . Author MT was supported by the Murdoch University College of SHEE Higher Degree by the Research Student Maintenance Fund (Murdoch University, Murdoch, Australia) . Our appreciation is offered to all the farmers who provided access to their farms and animals for this study. Thank you to Gavin D'Mello (School of Medical, Molecular and Forensic Sciences, Murdoch University) , John Abbott (School of Veterinary Medicine, Murdoch University) , Frances Brigg (State Agriculture Biotechnology Centre, Murdoch University) Aprille Jack (School of Veterinary Medicine, Murdoch University) for their generosity in providing technical support. A thank you is also extended to Reza Zareie from Proteowa (Murdoch University) for his expertise