Literature DB >> 25219780

Multi-laboratory evaluation of the rapid genoserotyping array (SGSA) for the identification of Salmonella serovars.

Catherine Yoshida1, Erika J Lingohr2, Friederike Trognitz3, Nikki MacLaren4, Andrea Rosano2, Stephanie A Murphy2, Andre Villegas2, Marlies Polt3, Kristyn Franklin2, Tanja Kostic3, Andrew M Kropinski2, Roderick M Card4.   

Abstract

Salmonella serotyping is an essential first step for identification of isolates associated with disease outbreaks. The Salmonella genoserotyping array (SGSA) is a microarray-based alternative to standard serotyping designed to rapidly identify 57 of the most commonly reported serovars through detection of the genes encoding surface O and H antigens and reporting the corresponding serovar in accordance with the existing White-Kaufmann-Le Minor serotyping scheme. In this study, we evaluated the SGSA at 4 laboratories in 3 countries by testing 1874 isolates from human and non-human sources. The SGSA correctly identified 96.7% of isolates from the target 57 serovars. For the prevalent and clinically important Salmonella serovars Enteritidis and Typhimurium, test specificity and sensitivity were greater than 98% and 99%, respectively. Due to its high-throughput nature, the SGSA is a rapid and cost-effective alternative to standard serotyping for identifying the most prevalent serovars of Salmonella. Crown
Copyright © 2014. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Evaluation; H-antigen; Microarray; O-antigen; Salmonella; Serotyping

Mesh:

Substances:

Year:  2014        PMID: 25219780     DOI: 10.1016/j.diagmicrobio.2014.08.006

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  6 in total

1.  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

2.  Pan-genome Analyses of the Species Salmonella enterica, and Identification of Genomic Markers Predictive for Species, Subspecies, and Serovar.

Authors:  Chad R Laing; Matthew D Whiteside; Victor P J Gannon
Journal:  Front Microbiol       Date:  2017-07-31       Impact factor: 5.640

3.  The Validation and Implications of Using Whole Genome Sequencing as a Replacement for Traditional Serotyping for a National Salmonella Reference Laboratory.

Authors:  Chris A Yachison; Catherine Yoshida; James Robertson; John H E Nash; Peter Kruczkiewicz; Eduardo N Taboada; Matthew Walker; Aleisha Reimer; Sara Christianson; Anil Nichani; Celine Nadon
Journal:  Front Microbiol       Date:  2017-06-09       Impact factor: 5.640

4.  Virulence Characterization of Salmonella enterica by a New Microarray: Detection and Evaluation of the Cytolethal Distending Toxin Gene Activity in the Unusual Host S. Typhimurium.

Authors:  Rui Figueiredo; Roderick Card; Carla Nunes; Manal AbuOun; Mary C Bagnall; Javier Nunez; Nuno Mendonça; Muna F Anjum; Gabriela Jorge da Silva
Journal:  PLoS One       Date:  2015-08-05       Impact factor: 3.240

5.  The Salmonella In Silico Typing Resource (SISTR): An Open Web-Accessible Tool for Rapidly Typing and Subtyping Draft Salmonella Genome Assemblies.

Authors:  Catherine E Yoshida; Peter Kruczkiewicz; Chad R Laing; Erika J Lingohr; Victor P J Gannon; John H E Nash; Eduardo N Taboada
Journal:  PLoS One       Date:  2016-01-22       Impact factor: 3.240

6.  Identification of Salmonella Bredeney Resistant to Third-Generation Cephalosporins in Saudi Arabia.

Authors:  Ayman Ahmad Al Kraiem; Yingchun Zeng; Xixiang Huo; Kun Yang; Fahd Al Kraiem; Jingliang Qin; Yujun Cui; Biao Kan; Meiying Yan; Guang Yang; Tie Chen
Journal:  Front Cell Infect Microbiol       Date:  2019-11-20       Impact factor: 5.293

  6 in total

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