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1.
Vet Microbiol ; 179(1-2): 60-8, 2015 Aug 31.
Article in English | MEDLINE | ID: mdl-25960334

ABSTRACT

Bird-livestock interactions have been implicated as potential sources for bacteria within concentrated animal feeding operations (CAFO). European starlings (Sturnus vulgaris) in particular are known to contaminate cattle feed and water with Salmonella enterica through their fecal waste. We propose that fecal waste is not the only mechanisms through which starlings introduce S. enterica to CAFO. The goal of this study was to assess if starlings can mechanically move S. enterica. We define mechanical movement as the transportation of media containing S. enterica, on the exterior of starlings within CAFO. We collected 100 starlings and obtained external wash and gastrointestinal tract (GI) samples. We also collected 100 samples from animal pens. Within each pen we collected one cattle fecal, feed, and water trough sample. Isolates from all S. enterica positive samples were subjected to antimicrobial susceptibility testing. All sample types, including 17% of external starling wash samples, contained S. enterica. All sample types had at least one antimicrobial resistant (AMR) isolate and starling GI samples harbored multidrug resistant S. enterica. The serotypes isolated from the starling external wash samples were all found in the farm environment and 11.8% (2/17) of isolates from positive starling external wash samples were resistant to at least one class of antibiotics. This study provides evidence of a potential mechanism of wildlife introduced microbial contamination in CAFO. Mechanical movement of microbiological hazards, by starlings, should be considered a potential source of bacteria that is of concern to veterinary, environmental and public health.


Subject(s)
Anti-Bacterial Agents/pharmacology , Cattle Diseases/transmission , Salmonella Infections, Animal/transmission , Salmonella enterica/physiology , Starlings/microbiology , Animal Feed/microbiology , Animals , Cattle , Cattle Diseases/microbiology , Drug Resistance, Bacterial , Feces/microbiology , Livestock , Salmonella Infections, Animal/microbiology , Salmonella enterica/drug effects
2.
Am J Vet Res ; 67(6): 951-6, 2006 Jun.
Article in English | MEDLINE | ID: mdl-16740086

ABSTRACT

OBJECTIVE: To evaluate various sampling strategies for potential use in measuring prevalence of antimicrobial susceptibility in cattle. SAMPLE POPULATION: 500 isolates of non-type-specific Escherichia coli (NTSEC) isolated from the feces of 50 cows from 2 dairy farms (25 cows/farm and 10 isolates/cow). PROCEDURES: Diameters of inhibition zones for 12 antimicrobials were analyzed to estimate variation among isolates, cows, and farms and then used to determine sampling distributions for a stochastic simulation model to evaluate 4 sampling strategies. These theoretic sampling strategies used a total of 100 isolates in 4 allocations (1 isolate from 100 cows, 2 isolates from 50 cows, 3 isolates from 33 cows, or 4 isolates from 25 cows). RESULTS: Analysis of variance composition revealed that 74.2% of variation was attributable to isolates, 18.5% to cows, and 7.3% to farms. Analysis of results of simulations suggested that when most of the variance was attributable to differences among isolates within a cow, culturing 1 isolate from each of 100 cows underestimated overall prevalence, compared with results for culturing more isolates per cow from fewer cows. When variance was not primarily attributable to differences among isolates, all 4 sampling strategies yielded similar results. CONCLUSIONS AND CLINICAL RELEVANCE: It is not always possible to predict the hierarchical level at which clustering will have its greatest impact on observed susceptibility distributions. Results suggested that sampling strategies that use testing of 3 or 4 isolates/cow from a representative sample of all animals better characterize herd prevalence of antimicrobial resistance when impacted by clustering.


Subject(s)
Anti-Bacterial Agents/pharmacology , Cattle/microbiology , Drug Resistance, Multiple, Bacterial , Escherichia coli/drug effects , Models, Biological , Animals , Feces/microbiology , Female , Software , Stochastic Processes
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