Comparative analysis of subtyping methods against a whole-genome-sequencing standard for Salmonella enterica serotype Enteritidis

Xiangyu Deng, Nikki Shariat, Elizabeth M. Driebe, Chandler C. Roe, Beth Tolar, Eija Trees, Paul Keim, Wei Zhang, Edward G. Dudley, Patricia I. Fields, David M. Engelthaler

Research output: Contribution to journalArticlepeer-review

89 Scopus citations

Abstract

A retrospective investigation was performed to evaluate whole-genome sequencing as a benchmark for comparing molecular subtyping methods for Salmonella enterica serotype Enteritidis and survey the population structure of commonly encountered S. enterica serotype Enteritidis outbreak isolates in the United States. A total of 52 S. enterica serotype Enteritidis isolates representing 16 major outbreaks and three sporadic cases collected between 2001 and 2012 were sequenced and subjected to subtyping by four different methods: (i) whole-genome single-nucleotide-polymorphism typing (WGST), (ii) multiple-locus variablenumber tandem-repeat (VNTR) analysis (MLVA), (iii) clustered regularly interspaced short palindromic repeats combined with multi-virulence-locus sequence typing (CRISPR-MVLST), and (iv) pulsed-field gel electrophoresis (PFGE). WGST resolved all outbreak clusters and provided useful robust phylogenetic inference results with high epidemiological correlation. While both MLVA and CRISPR-MVLST yielded higher discriminatory power than PFGE, MLVA outperformed the other methods in delineating outbreak clusters whereas CRISPR-MVLST showed the potential to trace major lineages and ecological origins of S. enterica serotype Enteritidis. Our results suggested that whole-genome sequencing makes a viable platform for the evaluation and benchmarking of molecular subtyping methods.

Original languageEnglish (US)
Pages (from-to)212-218
Number of pages7
JournalJournal of Clinical Microbiology
Volume53
Issue number1
DOIs
StatePublished - Jan 1 2015

ASJC Scopus subject areas

  • Microbiology (medical)

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