Literature DB >> 17600492

Introduction to United States Department of Agriculture VetNet: status of Salmonella and Campylobacter databases from 2004 through 2005.

Charlene R Jackson1, Paula J Fedorka-Cray, Nora Wineland, Jeanetta D Tankson, John B Barrett, Aphrodite Douris, Cheryl P Gresham, Carolina Jackson-Hall, Beth M McGlinchey, Maria Victoria Price.   

Abstract

In 2003 the United States Department of Agriculture established USDA VetNet. It was modeled after PulseNet USA, the national molecular subtyping network for foodborne disease surveillance. The objectives of USDA VetNet are: to use pulsed-field gel electrophoresis (PFGE) to subtype zoonotic pathogens submitted to the animal arm of the National Antimicrobial Resistance Monitoring System (NARMS); examine VetNet and PulseNet PFGE patterns; and use the data for surveillance and investigation of suspected foodborne illness outbreaks. Whereas PulseNet subtypes 7 foodborne disease-causing bacteria- Escherichia coli O157:H7, Salmonella, Shigella, Listeria monocytogenes, Campylobacter, Yersinia pestis, and Vibrio cholerae-VetNet at present subtypes nontyphoidal Salmonella serotypes and Campylobacter from animals, including diagnostic specimens, healthy farm animals, and carcasses of food-producing animals at slaughter. By the end of 2005, VetNet had two functioning databases: the NARMS Salmonella and the NARMS Campylobacter databases. The Salmonella database contained 6763 Salmonella isolates and 2514 unique XbaI patterns, while the Campylobacter database contained 58 Campylobacter isolates and 53 unique SmaI patterns. Both databases contain the PFGE tagged image file format (TIFF) images, demographic information, and the antimicrobial resistance profiles assigned by NARMS. In the future, veterinary diagnostic laboratories will be invited to participate in VetNet. The establishment of USDA VetNet enhances the mission of the agriculture and public health communities in the surveillance and investigation of foodborne illness outbreaks.

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Year:  2007        PMID: 17600492     DOI: 10.1089/fpd.2006.0067

Source DB:  PubMed          Journal:  Foodborne Pathog Dis        ISSN: 1535-3141            Impact factor:   3.171


  9 in total

1.  Characterization of blaCMY plasmids and their possible role in source attribution of Salmonella enterica serotype Typhimurium infections.

Authors:  Jason P Folster; Beth Tolar; Gary Pecic; Deborah Sheehan; Regan Rickert; Kelley Hise; Shaohua Zhao; Paula J Fedorka-Cray; Patrick McDermott; Jean M Whichard
Journal:  Foodborne Pathog Dis       Date:  2014-01-31       Impact factor: 3.171

2.  Characterization of extended-spectrum cephalosporin-resistant Salmonella enterica serovar Heidelberg isolated from food animals, retail meat, and humans in the United States 2009.

Authors:  J P Folster; G Pecic; A Singh; B Duval; R Rickert; S Ayers; J Abbott; B McGlinchey; J Bauer-Turpin; J Haro; K Hise; S Zhao; P J Fedorka-Cray; J Whichard; P F McDermott
Journal:  Foodborne Pathog Dis       Date:  2012-07       Impact factor: 3.171

3.  Salmonella serovar identification using PCR-based detection of gene presence and absence.

Authors:  Nabil Arrach; Steffen Porwollik; Pui Cheng; Ann Cho; Fred Long; Sang-Ho Choi; Michael McClelland
Journal:  J Clin Microbiol       Date:  2008-06-04       Impact factor: 5.948

4.  Single nucleotide polymorphisms that differentiate two subpopulations of Salmonella enteritidis within phage type.

Authors:  Jean Guard; Cesar A Morales; Paula Fedorka-Cray; Richard K Gast
Journal:  BMC Res Notes       Date:  2011-09-26

5.  Outbreak of Salmonella enterica serotype I 4,5,12:i:- infections: the challenges of hypothesis generation and microwave cooking.

Authors:  R K Mody; S Meyer; E Trees; P L White; T Nguyen; R Sowadsky; O L Henao; P C Lafon; J Austin; I Azzam; P M Griffin; R V Tauxe; K Smith; I T Williams
Journal:  Epidemiol Infect       Date:  2013-08-05       Impact factor: 4.434

6.  A comparison of non-typhoidal Salmonella from humans and food animals using pulsed-field gel electrophoresis and antimicrobial susceptibility patterns.

Authors:  Carol H Sandt; Paula J Fedorka-Cray; Deepanker Tewari; Stephen Ostroff; Kevin Joyce; Nkuchia M M'ikanatha
Journal:  PLoS One       Date:  2013-10-30       Impact factor: 3.240

7.  A meta-analysis of the prevalence of Salmonella in food animals in Ethiopia.

Authors:  Getachew Tadesse; Tesfaye S Tessema
Journal:  BMC Microbiol       Date:  2014-11-15       Impact factor: 3.605

8.  Isolation and characterization of two novel groups of kanamycin-resistance ColE1-like plasmids in Salmonella enterica serotypes from food animals.

Authors:  Chin-Yi Chen; Terence P Strobaugh; Ly-Huong T Nguyen; Melanie Abley; Rebecca L Lindsey; Charlene R Jackson
Journal:  PLoS One       Date:  2018-03-07       Impact factor: 3.240

9.  Attribution of Salmonella enterica serotype Hadar infections using antimicrobial resistance data from two points in the food supply system.

Authors:  A R Vieira; J Grass; P J Fedorka-Cray; J R Plumblee; H Tate; D J Cole
Journal:  Epidemiol Infect       Date:  2016-02-03       Impact factor: 4.434

  9 in total

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