Genetic and resistance phenotypic subtyping of Salmonella Saintpaul isolates from various food sources and humans: Phylogenetic concordance in combinatory analyses.

Bacterial pathogen subtyping for public health traceback of foodborne outbreaks has increasingly produced a number of disparate molecular techniques of varying resolution. Here, we bridge the molecular divide across three methodologies, transform data types for cross-comparison, and test phylogenetic concordance. Single nucleotide polymorphism (SNP) discovery was combined with pulsed-field gel electrophoresis (PFGE) and antimicrobial susceptibility profiles for identifying and differentiating 183 strains of closely related Salmonella enterica serovar Saintpaul isolates from retail meats, produce-associated outbreaks, and clinical sources. Fifty-six SNPs across 30 different genes were identified by comparative genomic analysis. These SNPs stratified general, monophyletic S. Saintpaul serovar specific signatures down to informative strain-specific markers. This SNP panel resulted in 17 distinct genotypes that, in concert with standard PFGE profiling, generated additional discriminatory power among clonal swarms of isolates when the data were transformed into a cross-comparable binary format. In a limited number of cases, antimicrobial susceptibility profiles (ASP) provided additional attributes for some strains when combined similarly. However, as expected from presumably acquired elements, resistant and susceptible populations produced some conflicting signals in most clonal complexes but they remained largely undisruptive to the general concordance. Taken in concert together, the three datasets (SNPs, PFGE,ASP) yielded a matrix of 156 independent phylogenetic characters that were statistically evaluated and found to be largely congruent, resulting in a consistently structured, non-homoplastic, phylogenetic signal and tree topology.

Single nucleotide polymorphism (SNP)-based differentiation of Shigella isolates by pyrosequencing.

Analysis of single nucleotide polymorphisms (SNPs) is an important genetic tool that provides molecular markers for rapid differentiation of closely related strains. We have applied SNP discovery and analysis for distinguishing each of the four Shigella serogroups (Boydii, Dysenteriae, Flexneri, and Sonnei) and for discriminating individual strains within the same serogroup by using 24 SNPs selected from nine genes. Five SNPs were identified from sequence analysis of two housekeeping genes (gapA and thrB) used previously in our lab to differentiate Shigella isolates into distinct lineages. The remaining 19 SNPs were identified by in silico analyses of eight Shigella genomes and are within the genes lpxC, sanA, yaaH, ybaP, ygaZ, yhbO, and ynhA. A total of 118 Shigella strains comprising 20 Boydii, 29 Dysenteriae, 42 Flexneri, and 27 Sonnei isolates were analyzed using the SNP typing scheme reported here. The combination of the 24 SNPs resulted in the identification of 26 SNP genotypes among the four Shigella serogroups and also provided some discriminatory resolution among individual strains within the same serogroup. The SNPs presented here should prove useful in identifying Shigella using PCR amplification and rapid sequence typing strategies.