Literature DB >> 12144198

Subtyping of bacterial foodborne pathogens.

Martin Wiedmann1.   

Abstract

Phenotype-based and DNA-based subtyping methods allow for differentiation of bacterial isolates beyond the species and subspecies level. Bacterial subtyping methods not only have improved our ability to detect and track foodbome disease outbreaks, but also represent tools to track sources of bacterial contamination throughout the food system. The use of subtyping methods furthermore provides an opportunity to better understand the population genetics, epidemiology, and ecology of different foodbome pathogens. The last 5 years have seen tremendous advancement in the development of sensitive, rapid, automated, and increasingly easy-to-use molecular subtyping methods for a variety of different bacterial foodborne pathogens. This review will highlight key aspects of different subtyping methods for bacterial foodborne pathogens and provide examples of their applications in public health, food safety, epidemiology, and population genetics. Molecular subtyping and characterization methods may also facilitate the development of a novel framework for tracking, preventing, and regulating foodborne bacterial diseases, which is based on evolutionary relationships and genetic characteristics rather than traditional species definitions.

Entities:  

Mesh:

Year:  2002        PMID: 12144198     DOI: 10.1301/00296640260184273

Source DB:  PubMed          Journal:  Nutr Rev        ISSN: 0029-6643            Impact factor:   7.110


  9 in total

Review 1.  New methods for inferring population dynamics from microbial sequences.

Authors:  Marcos Pérez-Losada; Megan L Porter; Loubna Tazi; Keith A Crandall
Journal:  Infect Genet Evol       Date:  2006-04-19       Impact factor: 3.342

2.  DNA sequence-based subtyping and evolutionary analysis of selected Salmonella enterica serotypes.

Authors:  Sharinne Sukhnanand; Sam Alcaine; Lorin D Warnick; Wan-Lin Su; Jessica Hof; Mary Pat J Craver; Patrick McDonough; Kathryn J Boor; Martin Wiedmann
Journal:  J Clin Microbiol       Date:  2005-08       Impact factor: 5.948

3.  Vibrio cholerae strain typing and phylogeny study based on simple sequence repeats.

Authors:  Yael Danin-Poleg; Lyora A Cohen; Hanan Gancz; Yoav Y Broza; Hanoh Goldshmidt; Elinor Malul; Lea Valinsky; Larisa Lerner; Meir Broza; Yechezkel Kashi
Journal:  J Clin Microbiol       Date:  2006-12-20       Impact factor: 5.948

4.  Amplified intergenic locus polymorphism as a basis for bacterial typing of Listeria spp. and Escherichia coli.

Authors:  Lilach Somer; Yael Danin-Poleg; Eran Diamant; Riva Gur-Arie; Yniv Palti; Yechezkel Kashi
Journal:  Appl Environ Microbiol       Date:  2005-06       Impact factor: 4.792

5.  Molecular subtyping and characterization of bovine and human Streptococcus agalactiae isolates.

Authors:  Sharinne Sukhnanand; Belgin Dogan; Maranatha O Ayodele; Ruth N Zadoks; Mary Patricia J Craver; Nellie B Dumas; Ynte H Schukken; Kathryn J Boor; Martin Wiedmann
Journal:  J Clin Microbiol       Date:  2005-03       Impact factor: 5.948

6.  Evolution and molecular phylogeny of Listeria monocytogenes isolated from human and animal listeriosis cases and foods.

Authors:  K K Nightingale; K Windham; M Wiedmann
Journal:  J Bacteriol       Date:  2005-08       Impact factor: 3.490

7.  Molecular subtyping of poultry-associated type A Clostridium perfringens isolates by repetitive-element PCR.

Authors:  G R Siragusa; M D Danyluk; K L Hiett; M G Wise; S E Craven
Journal:  J Clin Microbiol       Date:  2006-03       Impact factor: 5.948

8.  Ecology and transmission of Listeria monocytogenes infecting ruminants and in the farm environment.

Authors:  K K Nightingale; Y H Schukken; C R Nightingale; E D Fortes; A J Ho; Z Her; Y T Grohn; P L McDonough; M Wiedmann
Journal:  Appl Environ Microbiol       Date:  2004-08       Impact factor: 4.792

9.  Phylotyper: in silico predictor of gene subtypes.

Authors:  Matthew D Whiteside; Victor P J Gannon; Chad R Laing
Journal:  Bioinformatics       Date:  2017-11-15       Impact factor: 6.937

  9 in total

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