Literature DB >> 21278266

Novel virulence gene and clustered regularly interspaced short palindromic repeat (CRISPR) multilocus sequence typing scheme for subtyping of the major serovars of Salmonella enterica subsp. enterica.

Fenyun Liu1, Rodolphe Barrangou, Peter Gerner-Smidt, Efrain M Ribot, Stephen J Knabel, Edward G Dudley.   

Abstract

Salmonella enterica subsp. enterica is the leading cause of bacterial food-borne disease in the United States. Molecular subtyping methods are powerful tools for tracking the farm-to-fork spread of food-borne pathogens during outbreaks. In order to develop a novel multilocus sequence typing (MLST) scheme for subtyping the major serovars of S. enterica subsp. enterica, the virulence genes sseL and fimH and clustered regularly interspaced short palindromic repeat (CRISPR) loci were sequenced from 171 clinical isolates from nine Salmonella serovars, Salmonella serovars Typhimurium, Enteritidis, Newport, Heidelberg, Javiana, I 4,[5],12:i:-, Montevideo, Muenchen, and Saintpaul. The MLST scheme using only virulence genes was congruent with serotyping and identified epidemic clones but could not differentiate outbreaks. The addition of CRISPR sequences dramatically improved discriminatory power by differentiating individual outbreak strains/clones. Of particular note, the present MLST scheme provided better discrimination of Salmonella serovar Enteritidis strains than pulsed-field gel electrophoresis (PFGE). This method showed high epidemiologic concordance for all serovars screened except for Salmonella serovar Muenchen. In conclusion, the novel MLST scheme described in the present study accurately differentiated outbreak strains/clones of the major serovars of Salmonella, and therefore, it shows promise for subtyping this important food-borne pathogen during investigations of outbreaks.

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Year:  2011        PMID: 21278266      PMCID: PMC3067318          DOI: 10.1128/AEM.02625-10

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  45 in total

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Review 3.  CRISPR--a widespread system that provides acquired resistance against phages in bacteria and archaea.

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5.  DNA fingerprinting of Salmonella enterica subsp. enterica serovar typhimurium with emphasis on phage type DT104 based on variable number of tandem repeat loci.

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6.  Preliminary FoodNet data on the incidence of infection with pathogens transmitted commonly through food - 10 states, 2009.

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Authors:  Mia Torpdahl; Marianne N Skov; Dorthe Sandvang; Dorte L Baggesen
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Review 8.  CRISPR-mediated phage resistance and the ghost of coevolution past.

Authors:  Pedro F Vale; Tom J Little
Journal:  Proc Biol Sci       Date:  2010-03-17       Impact factor: 5.349

Review 9.  Population structure, origins and evolution of major Salmonella enterica clones.

Authors:  Ruiting Lan; Peter R Reeves; Sophie Octavia
Journal:  Infect Genet Evol       Date:  2009-04-23       Impact factor: 3.342

10.  Phage response to CRISPR-encoded resistance in Streptococcus thermophilus.

Authors:  Hélène Deveau; Rodolphe Barrangou; Josiane E Garneau; Jessica Labonté; Christophe Fremaux; Patrick Boyaval; Dennis A Romero; Philippe Horvath; Sylvain Moineau
Journal:  J Bacteriol       Date:  2007-12-07       Impact factor: 3.490

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  46 in total

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5.  Subtyping Salmonella enterica serovar enteritidis isolates from different sources by using sequence typing based on virulence genes and clustered regularly interspaced short palindromic repeats (CRISPRs).

Authors:  Fenyun Liu; Subhashinie Kariyawasam; Bhushan M Jayarao; Rodolphe Barrangou; Peter Gerner-Smidt; Efrain M Ribot; Stephen J Knabel; Edward G Dudley
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7.  Effective characterization of Salmonella Enteritidis by most probable number (MPN) followed by multiplex polymerase chain reaction (PCR) methods.

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8.  Comparative genomics of 28 Salmonella enterica isolates: evidence for CRISPR-mediated adaptive sublineage evolution.

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Review 9.  Persistent Infection and Long-Term Carriage of Typhoidal and Nontyphoidal Salmonellae.

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10.  Subtyping of Salmonella enterica serovar Newport outbreak isolates by CRISPR-MVLST and determination of the relationship between CRISPR-MVLST and PFGE results.

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Journal:  J Clin Microbiol       Date:  2013-05-15       Impact factor: 5.948

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