Literature DB >> 21856826

Methodologies for Salmonella enterica subsp. enterica subtyping: gold standards and alternatives.

Pierre Wattiau1, Cécile Boland, Sophie Bertrand.   

Abstract

For more than 80 years, subtyping of Salmonella enterica has been routinely performed by serotyping, a method in which surface antigens are identified based on agglutination reactions with specific antibodies. The serotyping scheme, which is continuously updated as new serovars are discovered, has generated over time a data set of the utmost significance, allowing long-term epidemiological surveillance of Salmonella in the food chain and in public health control. Conceptually, serotyping provides no information regarding the phyletic relationships inside the different Salmonella enterica subspecies. In epidemiological investigations, identification and tracking of salmonellosis outbreaks require the use of methods that can fingerprint the causative strains at a taxonomic level far more specific than the one achieved by serotyping. During the last 2 decades, alternative methods that could successfully identify the serovar of a given strain by probing its DNA have emerged, and molecular biology-based methods have been made available to address phylogeny and fingerprinting issues. At the same time, accredited diagnostics have become increasingly generalized, imposing stringent methodological requirements in terms of traceability and measurability. In these new contexts, the hand-crafted character of classical serotyping is being challenged, although it is widely accepted that classification into serovars should be maintained. This review summarizes and discusses modern typing methods, with a particular focus on those having potential as alternatives for classical serotyping or for subtyping Salmonella strains at a deeper level.

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Year:  2011        PMID: 21856826      PMCID: PMC3209009          DOI: 10.1128/AEM.05527-11

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


  86 in total

1.  Differences in gene content between Salmonella enterica serovar Enteritidis isolates and comparison to closely related serovars Gallinarum and Dublin.

Authors:  S Porwollik; C A Santiviago; P Cheng; L Florea; S Jackson; M McClelland
Journal:  J Bacteriol       Date:  2005-09       Impact factor: 3.490

2.  A comparison of three molecular typing methods for the discrimination of Salmonella enterica serovar Infantis.

Authors:  Ian L Ross; Michael W Heuzenroeder
Journal:  FEMS Immunol Med Microbiol       Date:  2008-07-08

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

Authors:  Bjørn-Arne Lindstedt; Even Heir; Elisabet Gjernes; Georg Kapperud
Journal:  J Clin Microbiol       Date:  2003-04       Impact factor: 5.948

4.  A phage-typing scheme for Salmonella enteritidis.

Authors:  L R Ward; J D de Sa; B Rowe
Journal:  Epidemiol Infect       Date:  1987-10       Impact factor: 2.451

5.  High-throughput sequencing provides insights into genome variation and evolution in Salmonella Typhi.

Authors:  Kathryn E Holt; Julian Parkhill; Camila J Mazzoni; Philippe Roumagnac; François-Xavier Weill; Ian Goodhead; Richard Rance; Stephen Baker; Duncan J Maskell; John Wain; Christiane Dolecek; Mark Achtman; Gordon Dougan
Journal:  Nat Genet       Date:  2008-07-27       Impact factor: 38.330

6.  High-throughput bacterial SNP typing identifies distinct clusters of Salmonella Typhi causing typhoid in Nepalese children.

Authors:  Kathryn E Holt; Stephen Baker; Sabina Dongol; Buddha Basnyat; Neelam Adhikari; Stephen Thorson; Anoop S Pulickal; Yajun Song; Julian Parkhill; Jeremy J Farrar; David R Murdoch; Dominic F Kelly; Andrew J Pollard; Gordon Dougan
Journal:  BMC Infect Dis       Date:  2010-05-31       Impact factor: 3.090

7.  Multiple-locus variable-number tandem-repeat analysis of Salmonella enterica serovar Typhi.

Authors:  Sophie Octavia; Ruiting Lan
Journal:  J Clin Microbiol       Date:  2009-06-17       Impact factor: 5.948

8.  Evaluation of commercial antisera for Salmonella serotyping.

Authors:  Kimmi N Schrader; Ali Fernandez-Castro; Wendy K W Cheung; Claudia M Crandall; Sharon L Abbott
Journal:  J Clin Microbiol       Date:  2007-12-19       Impact factor: 5.948

9.  Pulsed-field gel electrophoresis-based subtyping of DNA degradation-sensitive Salmonella enterica subsp. enterica serovar Livingstone and serovar Cerro isolates obtained from a chicken layer farm.

Authors:  Toshiyuki Murase; Masashi Nagato; Kazutoshi Shirota; Hiromitsu Katoh; Koichi Otsuki
Journal:  Vet Microbiol       Date:  2004-04-05       Impact factor: 3.293

10.  Drug-resistant Salmonella Typhimurium DT 120: use of PFGE and MLVA in a putative international outbreak investigation.

Authors:  Emma L Best; Michael D Hampton; Steen Ethelberg; Ernesto Liebana; Felicity A Clifton-Hadley; E John Threlfall
Journal:  Microb Drug Resist       Date:  2009-06       Impact factor: 3.431

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  65 in total

1.  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

2.  Irrigation water quality and the benefits of implementing good agricultural practices during tomato (Lycopersicum esculentum) production.

Authors:  M Estrada-Acosta; M Jiménez; C Chaidez; J León-Félix; N Castro-Del Campo
Journal:  Environ Monit Assess       Date:  2014-03-31       Impact factor: 2.513

3.  Analysis of Salmonella enterica serovar Typhimurium variable-number tandem-repeat data for public health investigation based on measured mutation rates and whole-genome sequence comparisons.

Authors:  Karolina Dimovski; Hanwei Cao; Odilia L C Wijburg; Richard A Strugnell; Radha K Mantena; Margaret Whipp; Geoff Hogg; Kathryn E Holt
Journal:  J Bacteriol       Date:  2014-06-23       Impact factor: 3.490

4.  Salmonella serotype determination utilizing high-throughput genome sequencing data.

Authors:  Shaokang Zhang; Yanlong Yin; Marcus B Jones; Zhenzhen Zhang; Brooke L Deatherage Kaiser; Blake A Dinsmore; Collette Fitzgerald; Patricia I Fields; Xiangyu Deng
Journal:  J Clin Microbiol       Date:  2015-03-11       Impact factor: 5.948

5.  MLVA for Salmonella enterica subsp. enterica Serovar Dublin: Development of a Method Suitable for Inter-Laboratory Surveillance and Application in the Context of a Raw Milk Cheese Outbreak in France in 2012.

Authors:  Marie-Léone Vignaud; Emeline Cherchame; Muriel Marault; Emilie Chaing; Simon Le Hello; Valerie Michel; Nathalie Jourdan-Da Silva; Renaud Lailler; Anne Brisabois; Sabrina Cadel-Six
Journal:  Front Microbiol       Date:  2017-02-27       Impact factor: 5.640

6.  Distribution and Characterization of Salmonella enterica Isolates from Irrigation Ponds in the Southeastern United States.

Authors:  Zhiyao Luo; Ganyu Gu; Amber Ginn; Mihai C Giurcanu; Paige Adams; George Vellidis; Ariena H C van Bruggen; Michelle D Danyluk; Anita C Wright
Journal:  Appl Environ Microbiol       Date:  2015-04-24       Impact factor: 4.792

Review 7.  Persistent Infection and Long-Term Carriage of Typhoidal and Nontyphoidal Salmonellae.

Authors:  Ohad Gal-Mor
Journal:  Clin Microbiol Rev       Date:  2018-11-28       Impact factor: 26.132

8.  Evaluation of Molecular Methods for Identification of Salmonella Serovars.

Authors:  Catherine Yoshida; Simone Gurnik; Aaminah Ahmad; Travis Blimkie; Stephanie A Murphy; Andrew M Kropinski; John H E Nash
Journal:  J Clin Microbiol       Date:  2016-05-18       Impact factor: 5.948

9.  Genetic diversity and evolution of Salmonella enterica serovar Enteritidis strains with different phage types.

Authors:  Jie Zheng; James Pettengill; Errol Strain; Marc W Allard; Rafiq Ahmed; Shaohua Zhao; Eric W Brown
Journal:  J Clin Microbiol       Date:  2014-02-26       Impact factor: 5.948

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

Authors:  Nikki Shariat; Margaret K Kirchner; Carol H Sandt; Eija Trees; Rodolphe Barrangou; Edward G Dudley
Journal:  J Clin Microbiol       Date:  2013-05-15       Impact factor: 5.948

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