Campylobacter and Salmonella spp. prevalence and antimicrobial drug sensitivity were determined in northern elephant seals that had not entered the water and seals that were stranded on the California coast. Stranded seals had a higher prevalence of pathogenic bacteria, possibly from terrestrial sources, which were more likely to be resistant.

The prevalence of Campylobacter and Salmonella spp. was determined from live bird to prepackaged carcass for 3 flocks from each of 6 types of California niche-market poultry. Commodities sampled included squab, quail, guinea fowl, duck, poussin (young chicken), and free-range broiler chickens. Campylobacter on-farm prevalence was lowest for squab, followed by guinea fowl, duck, quail, and free-range chickens. Poussin had the highest prevalence of Campylobacter. No Salmonella was isolated from guinea fowl or quail flocks. A few positive samples were observed in duck and squab, predominately of S. Typhimurium. Free-range and poussin chickens had the highest prevalence of Salmonella. Post-transport prevalence was not significantly higher than on-farm, except in free-range flocks, where a higher prevalence of positive chickens was found after 6 to 8 h holding before processing. In most cases, the prevalence of Campylobacter- and Salmonella-positive birds was lower on the final product than on-farm or during processing. Odds ratio analysis indicated that the risk of a positive final product carcass was not increased by the prevalence of a positive sample at an upstream point in the processing line, or by on-farm prevalence (i.e., none of the common sampling stations among the 6 commodities could be acknowledged as critical control points). This suggests that hazard analysis critical control point plans for Campylobacter and Salmonella control in the niche-market poultry commodities will need to be specifically determined for each species and each processing facility.

L monocytogenes was more prevalent in samples obtained from dairy cattle and their environment than in milk samples. Strategies to control the pathogen in dairy operations should focus on cow hygiene and sanitary milk harvesting on the farm.

Abstract.A general problem for microbiologists is determining the number of phenotypically similar colonies growing on an agar plate that must be analyzed in order to be confident of identifying all of the different strains present in the sample. If a specified number of colonies is picked from a plate on which the number of unique strains of bacteria is unknown, assigning a probability of correctly identifying all of the strains present on the plate is not a simple task. With Escherichia coli of avian cellulitis origin as a case study, a statistical model was designed that would delineate sample sizes for efficient and consistent identification of all the strains of phenotypically similar bacteria in a clinical sample. This model enables the microbiologist to calculate the probability that all of the strains contained within the sample are correctly identified and to generate probabilitybased sample sizes for colony identification. The probability of cellulitis lesions containing a single strain of E. coli was 95.4%. If one E. coli strain is observed out of three colonies randomly selected from a future agar plate, the probability is 98.8% that only one strain is on the plate. These results are specific for this cellulitis E. coli scenario. For systems in which the number of bacterial strains per sample is variable, this model provides a quantitative means by which sample sizes can be determined.Many samples that are cultured for bacterial pathogens are expected to contain a genetically heterogeneous population of bacteria. Often, the phenotypic appearance of the bacterial colonies will not reflect the genetic variability among different strains in the sample. This strain determination is made by additional diagnostics, such as serogrouping, antibiotic resistance profiles, plasmid profiles, or DNA fingerprinting methods. A general problem for microbiologists is determining the number of phenotypically similar colonies growing on an agar plate that must be analyzed in order to identify all of the different strains present in the sample. If the goal of sampling is to identify the number of different strains present in each sample, colony morphology will often fail to provide the answer. Without the knowledge of the total number of different strains on the plate, assigning a probability of correctly identifying all of the strains present on the plate for a given number of identified colonies is extremely difficult. If samples typically contain a single strain, then the identification of more than one colony is a waste of time and money. However, if samples typically contain more than one strain, then the selection of a single colony per plate would lead to biased inferences. This problem is relevant to studies of avian cellulitis in broiler chickens. This condition is characterized by a diffuse inflammatory reaction secondary to a subcutaneous infection. 4,8 Although avian cellulitis in broilers is a multifactorial process, 2,3 numerous investigators have experimentally linked the presence of Escherichia coli with...

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