Literature DB >> 23554194

Comparison of typing methods with a new procedure based on sequence characterization for Salmonella serovar prediction.

Matthew L Ranieri1, Chunlei Shi, Andrea I Moreno Switt, Henk C den Bakker, Martin Wiedmann.   

Abstract

As the development of molecular serotyping approaches is critical for Salmonella spp., which include >2,600 serovars, we performed an initial evaluation of the ability to identify Salmonella serovars using (i) different molecular subtyping methods and (ii) a newly implemented combined PCR- and sequencing-based approach that directly targets O- and H-antigen-encoding genes. Initial testing was performed using 46 isolates that represent the top 40 Salmonella serovars isolated from human and nonhuman sources, as reported by the U.S. Centers for Disease Control and Prevention and the World Health Organization. Multilocus sequence typing (MLST) was able to accurately predict the serovars for 42/46 isolates and showed the best ability to predict serovars among the subtyping methods tested. Pulsed-field gel electrophoresis (PFGE), ribotyping, and repetitive extragenic palindromic sequence-based PCR (rep-PCR) were able to accurately predict the serovars for 35/46, 34/46, and 30/46 isolates, respectively. Among the methods, S. enterica subsp. enterica serovars 4,5,12:i:-, Typhimurium, and Typhimurium var. 5- were frequently not classified correctly, which is consistent with their close phylogenetic relationship. To develop a PCR- and sequence-based serotyping approach, we integrated available data sources to implement a combination PCR-based O-antigen screening and sequencing of internal fliC and fljB fragments. This approach correctly identified the serovars for 42/46 isolates in the initial set representing the most common Salmonella serovars, as well as for 54/63 isolates representing less common Salmonella serovars. Our study not only indicates that different molecular approaches show the potential to allow for rapid serovar classification of Salmonella isolates, but it also provides data that can help with the selection of molecular serotyping methods to be used by different laboratories.

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Year:  2013        PMID: 23554194      PMCID: PMC3716111          DOI: 10.1128/JCM.03201-12

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  56 in total

1.  Capsular Vi polysaccharide antigen in Salmonella enterica serovar typhi isolates.

Authors:  Geeta Mehta; Subhash C Arya
Journal:  J Clin Microbiol       Date:  2002-03       Impact factor: 5.948

2.  Multilocus sequence typing for characterization of clinical and environmental salmonella strains.

Authors:  Mamuka Kotetishvili; O Colin Stine; Arnold Kreger; J Glenn Morris; Alexander Sulakvelidze
Journal:  J Clin Microbiol       Date:  2002-05       Impact factor: 5.948

3.  Prediction system for rapid identification of Salmonella serotypes based on pulsed-field gel electrophoresis fingerprints.

Authors:  Wen Zou; Wei-Jiun Lin; Kelley B Hise; Hung-Chia Chen; Christine Keys; James J Chen
Journal:  J Clin Microbiol       Date:  2012-02-29       Impact factor: 5.948

4.  A whole-genome single nucleotide polymorphism-based approach to trace and identify outbreaks linked to a common Salmonella enterica subsp. enterica serovar Montevideo pulsed-field gel electrophoresis type.

Authors:  Henk C den Bakker; Andrea I Moreno Switt; Craig A Cummings; Karin Hoelzer; Lovorka Degoricija; Lorraine D Rodriguez-Rivera; Emily M Wright; Rixun Fang; Margaret Davis; Tim Root; Dianna Schoonmaker-Bopp; Kimberlee A Musser; Elizabeth Villamil; Haena Waechter; Laura Kornstein; Manohar R Furtado; Martin Wiedmann
Journal:  Appl Environ Microbiol       Date:  2011-10-14       Impact factor: 4.792

5.  Salmonella enterica serovar Agona European outbreak associated with a food company.

Authors:  N Nicolay; L Thornton; S Cotter; P Garvey; O Bannon; P McKeown; M Cormican; I Fisher; C Little; N Boxall; E De Pinna; T M Peters; J Cowden; R Salmon; B Mason; N Irvine; P Rooney; D O'Flanagan
Journal:  Epidemiol Infect       Date:  2010-10-18       Impact factor: 2.451

6.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

7.  Classification of Salmonella enterica serotypes from Australian poultry using repetitive sequence-based PCR.

Authors:  J W Chenu; J M Cox; A Pavic
Journal:  J Appl Microbiol       Date:  2011-11-01       Impact factor: 3.772

8.  Rapid genoserotyping tool for classification of Salmonella serovars.

Authors:  Kristyn Franklin; Erika J Lingohr; Catherine Yoshida; Muna Anjum; Levente Bodrossy; Clifford G Clark; Andrew M Kropinski; Mohamed A Karmali
Journal:  J Clin Microbiol       Date:  2011-06-22       Impact factor: 5.948

9.  Serotyping and ribotyping of Salmonella using restriction enzyme PvuII.

Authors:  J S Bailey; P J Fedorka-Cray; N J Stern; S E Craven; N A Cox; D E Cosby
Journal:  J Food Prot       Date:  2002-06       Impact factor: 2.077

10.  Genome sequencing reveals diversification of virulence factor content and possible host adaptation in distinct subpopulations of Salmonella enterica.

Authors:  Henk C den Bakker; Andrea I Moreno Switt; Gregory Govoni; Craig A Cummings; Matthew L Ranieri; Lovorka Degoricija; Karin Hoelzer; Lorraine D Rodriguez-Rivera; Stephanie Brown; Elena Bolchacova; Manohar R Furtado; Martin Wiedmann
Journal:  BMC Genomics       Date:  2011-08-22       Impact factor: 3.969

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  24 in total

1.  Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal Salmonella.

Authors:  Marcus Nguyen; S Wesley Long; Patrick F McDermott; Randall J Olsen; Robert Olson; Rick L Stevens; Gregory H Tyson; Shaohua Zhao; James J Davis
Journal:  J Clin Microbiol       Date:  2019-01-30       Impact factor: 5.948

2.  Subtype analysis of Salmonella isolated from subclinically infected dairy cattle and dairy farm environments reveals the presence of both human- and bovine-associated subtypes.

Authors:  L D Rodriguez-Rivera; E M Wright; J D Siler; M Elton; K J Cummings; L D Warnick; M Wiedmann
Journal:  Vet Microbiol       Date:  2014-02-16       Impact factor: 3.293

3.  Whole-Genome Sequencing Allows for Improved Identification of Persistent Listeria monocytogenes in Food-Associated Environments.

Authors:  Matthew J Stasiewicz; Haley F Oliver; Martin Wiedmann; Henk C den Bakker
Journal:  Appl Environ Microbiol       Date:  2015-06-26       Impact factor: 4.792

4.  Quantitative proteomics implicates YggT in streptomycin resistance in Salmonella enterica serovar Enteritidis.

Authors:  Yansheng Liang; Fengru Deng; Peiqiang Mu; Jikai Wen; Yiqun Deng
Journal:  Biotechnol Lett       Date:  2021-01-27       Impact factor: 2.461

Review 5.  Omics approaches in food safety: fulfilling the promise?

Authors:  Teresa M Bergholz; Andrea I Moreno Switt; Martin Wiedmann
Journal:  Trends Microbiol       Date:  2014-02-23       Impact factor: 17.079

6.  Distributions of Salmonella subtypes differ between two U.S. produce-growing regions.

Authors:  Laura K Strawn; Michelle D Danyluk; Randy W Worobo; Martin Wiedmann
Journal:  Appl Environ Microbiol       Date:  2014-04-18       Impact factor: 4.792

7.  New clustered regularly interspaced short palindromic repeat locus spacer pair typing method based on the newly incorporated spacer for Salmonella enterica.

Authors:  Hao Li; Peng Li; Jing Xie; Shengjie Yi; Chaojie Yang; Jian Wang; Jichao Sun; Nan Liu; Xu Wang; Zhihao Wu; Ligui Wang; Rongzhang Hao; Yong Wang; Leili Jia; Kaiqin Li; Shaofu Qiu; Hongbin Song
Journal:  J Clin Microbiol       Date:  2014-06-04       Impact factor: 5.948

8.  Molecular characterisation of Salmonella strains isolated from outbreaks and sporadic cases of diarrhoea occurred in Paraná State, South of Brazil.

Authors:  F E A Assis; C B Dallagassa; S M S S Farah; E M Souza; F O Pedrosa; L S Chubatsu; C M T Fadel-Picheth
Journal:  Epidemiol Infect       Date:  2017-04-03       Impact factor: 4.434

9.  First detection and characterization of Salmonella spp. in poultry and swine raised in backyard production systems in central Chile.

Authors:  R Alegria-Moran; D Rivera; V Toledo; A I Moreno-Switt; C Hamilton-West
Journal:  Epidemiol Infect       Date:  2017-09-20       Impact factor: 4.434

10.  Screening the Presence of Non-Typhoidal Salmonella in Different Animal Systems and the Assessment of Antimicrobial Resistance.

Authors:  Dácil Rivera; Kasim Allel; Fernando Dueñas; Rodolfo Tardone; Paula Soza; Christopher Hamilton-West; Andrea I Moreno-Switt
Journal:  Animals (Basel)       Date:  2021-05-24       Impact factor: 2.752

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