File(s) not publicly available
Geographical variation in antibiotic resistance profiles of Escherichia coli isolated from swine, poultry, beef and dairy cattle farm retention ponds in Florida
journal contribution
posted on 2023-05-16, 18:13 authored by Parveen, S, Lukasik, J, Scott, TM, Mark TamplinMark Tamplin, Portier, KM, Sheperd, S, Braun, K, Farrah, SRAims: The aim of this study was to assess geographical variation in multiple antibiotic resistance (MAR) profiles of livestock Escherichia coli as well as to evaluate the ability of MAR profiles to differentiate sources of faecal pollution. Methods and Results: More than 2000 E. coli isolates were collected from water retention ponds and manure of swine, poultry, beef and dairy farms in south, central and north Florida, and analysed for MAR using nine antibiotics. There were significant differences in antibiotic resistance of E. coli by season and livestock type for more than one antibiotic, but regional differences were significant only for ampicillin. Over the three regions, discriminant analysis using MAR profiles correctly classified 27% of swine, 49% of poultry, 56% of beef and 51% of dairy isolates. Conclusions: Regional variations in MAR combined with moderate discrimination success suggest that MAR profiles of E. coli may only be marginally successful in identifying sources of faecal pollution. Significance and Impact of the Study: This study demonstrates the existence of regional and seasonal differences in MAR profiles as well as the limited ability of MAR profiles to discriminate among livestock sources. © 2005 The Society for Applied Microbiology.
History
Publication title
Journal of Applied MicrobiologyVolume
100Pagination
50-57ISSN
1364-5072Department/School
Tasmanian Institute of Agriculture (TIA)Publisher
Blackwell Publishing LtdPlace of publication
United StatesRepository Status
- Restricted
Socio-economic Objectives
Food safetyUsage metrics
Categories
Keywords
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC