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TITLE:  Simultaneous analysis of multiple enzymes increases accuracy of pulsed-field gel electrophoresis in assigning genetic relationships among homogeneous Salmonella strains
 
AUTHORS:  Zheng J;Keys CE;Zhao S;Ahmed R;Meng J;Brown EW;
 
YEAR:  2011
 
JOURNAL ABBREV:  J Clin Microbiol
 
MONTH:  Jan
 
TYPE:  JOUR
 
REFMAN INDEX:  624
 
JOURNAL FULL:  Journal of clinical microbiology
 
VOLUME:  49
 
ISSUE:  1
 
START PAGE:  85
 
END PAGE:  94
 
KEYWORDS:  analysis;Animals;classification;Cluster Analysis;COMPLEXES;diagnostic use;Dna;DNA Restriction Enzymes;DNA,Bacterial;drug;Electrophoresis,Gel,Pulsed-Field;Enzymes;Food;Food Safety;genetics;Genotype;Humans;isolation & purification;metabolism;methods;microbiology;Molecular Typing;Nutrition;Safety;Salmonella;Salmonella enterica;Salmonella enteritidis;Salmonella Infections;Salmonella Infections,Animal;Salmonella typhimurium;SINGLE;STRAIN;STRAINS;TYPHIMURIUM;
 
ABSTRACT:  Due to a highly homogeneous genetic composition, the subtyping of Salmonella enterica serovar Enteritidis strains to an epidemiologically relevant level remains intangible for pulsed-field gel electrophoresis (PFGE). We reported previously on a highly discriminatory PFGE-based subtyping scheme for S. enterica serovar Enteritidis that relies on a single combined cluster analysis of multiple restriction enzymes. However, the ability of a subtyping method to correctly infer genetic relatedness among outbreak strains is also essential for effective molecular epidemiological traceback. In this study, genetic and phylogenetic analyses were performed to assess whether concatenated enzyme methods can cluster closely related salmonellae into epidemiologically relevant hierarchies. PFGE profiles were generated by use of six restriction enzymes (XbaI, BlnI, SpeI, SfiI, PacI, and NotI) for 74 strains each of S. enterica serovar Enteritidis and S. enterica serovar Typhimurium. Correlation analysis of Dice similarity coefficients for all pairwise strain comparisons underscored the importance of combining multiple enzymes for the accurate assignment of genetic relatedness among Salmonella strains. The mean correlation increased from 81% and 41% for single-enzyme PFGE up to 99% and 96% for five-enzyme combined PFGE for S. enterica serovar Enteritidis and S. enterica serovar Typhimurium strains, respectively. Data regressions approached 100% correlation among Dice similarities for S. enterica serovar Enteritidis and S. enterica serovar Typhimurium strains when a minimum of six enzymes were concatenated. Phylogenetic congruence measures singled out XbaI, BlnI, SfiI, and PacI as most concordant for S. enterica serovar Enteritidis, while XbaI, BlnI, and SpeI were most concordant among S. enterica serovar Typhimurium strains. Together, these data indicate that PFGE coupled with sufficient enzyme numbers and combinations is capable of discerning accurate genetic relationships among Salmonella serovars comprising highly homogeneous strain complexes
 
AFFILIATIONS:  Center for Food Safety & Applied Nutrition, U.S. Food & Drug Administration, 5100 Paint Branch Parkway, College Park, MD 20740, USA
 
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