Reduction of Salmonella Enteritidis in the spleens of hens by bacterins that vary in fimbrial protein SefD

AT Homopolymer Strings in Salmonella enterica Subspecies I Contribute to Speciation and Serovar Diversity

Adenine and thymine homopolymer strings of at least 8 nucleotides (AT 8+mers) were characterized in Salmonella enterica subspecies I. The motif differed between other taxonomic classes but not between Salmonella enterica serovars. The motif in plasmids was possibly associated with serovar. Approximately 12.3% of the S. enterica motif loci had mutations. Mutability of AT 8+mers suggests that genomes undergo frequent repair to maintain optimal gene content, and that the motif facilitates self-recognition; in addition, serovar diversity is associated with plasmid content. A theory that genome regeneration accounts for both persistence of predominant Salmonella serovars and serovar diversity provides a new framework for investigating root causes of foodborne illness.

Genome sequence analysis of 91 Salmonella Enteritidis isolates from mice caught on poultry farms in the mid 1990s

A total of 91 draft genome sequences were used to analyze isolates of Salmonella enterica serovar Enteritidis obtained from feral mice caught on poultry farms in Pennsylvania. One objective was to find mutations disrupting open reading frames (ORFs) and another was to determine if ORF-disruptive mutations were present in isolates obtained from other sources. A total of 83 mice were obtained between 1995-1998. Isolates separated into two genomic clades and 12 subgroups due to 742 mutations. Nineteen ORF-disruptive mutations were found, and in addition, bigA had exceptional heterogeneity requiring additional evaluation. The TRAMS algorithm detected only 6 ORF disruptions. The sefD mutation was the most frequently encountered mutation and it was prevalent in human, poultry, environmental and mouse isolates. These results confirm previous assessments of the mouse as a rich source of Salmonella enterica serovar Enteritidis that varies in genotype and phenotype.

Serotyping of Salmonella Enterica Isolated from Mice Caught on US Poultry Farms 1995 through 1998

In this study, a collection of Salmonella enterica subspecies obtained from live mice caught on 32 poultry farms in the Northeast US between 1995 to 1998 was evaluated to provide a historical reference for serotype distribution during a time when egg contamination by serotype Enteritidis was at its peak. Of 821 mice cultured, 157 were positive (19.1%). Seven mice harbored two serotypes of Salmonella. Nine serotypes were detected, eight of which are often associated with foodborne illness. The three most prevalent serotypes were Enteritidis, Heidelberg, and Typhimurium. Enteritidis and Typhimurium were obtained from both spleens and intestines without preference according to type of sample. In contrast, Heidelberg was isolated most often from intestines and Schwarzengrund was most often obtained from spleens. These results support that the house mouse Mus musculus was a risk factor for introduction of multiple pathogenic Salmonella serotypes in poultry raised in the Northeast US during the mid-1990s. Isolates were submitted to the Food and Drug Administration and draft genomes for 64 isolates of Salmonella enterica serovar Enteritidis data have been released through the National Center for Biotechnology Information via the GenomeTrakr network.

Metabolic parameters linked by phenotype microarray to acid resistance profiles of poultry-associated Salmonella enterica

Phenotype microarrays were analyzed for 51 datasets derived from Salmonella enterica. The top 4 serotypes associated with poultry products and one associated with turkey, respectively Typhimurium, Enteritidis, Heidelberg, Infantis and Senftenberg, were represented. Datasets were partitioned initially into two clusters based on ranking by values at pH 4.5 (PM10 A03). Negative control wells were used to establish 90 respiratory units as the point differentiating acid resistance from sensitive strains. Thus, 24 isolates that appeared most acid-resistant were compared initially to 27 that appeared most acid-sensitive (24 × 27 format). Paired cluster analysis was also done and it included the 7 most acid-resistant and -sensitive datasets (7 × 7 format). Statistical analyses of ranked data were then calculated in order of standard deviation, probability value by the Student's t-test and a measure of the magnitude of difference called effect size. Data were reported as significant if, by order of filtering, the following parameters were calculated: i) a standard deviation of 24 respiratory units or greater from all datasets for each chemical, ii) a probability value of less than or equal to 0.03 between clusters and iii) an effect size of at least 0.50 or greater between clusters. Results suggest that between 7.89% and 23.16% of 950 chemicals differentiated acid-resistant isolates from sensitive ones, depending on the format applied. Differences were more evident at the extremes of phenotype using the subset of data in the paired 7 × 7 format. Results thus provide a strategy for selecting compounds for additional research, which may impede the emergence of acid-resistant Salmonella enterica in food.