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

Yoshida, Catherine; Lingohr, Erika J.; Trognitz, Friederike; MacLaren, Nikki; Rosano, Andrea; Murphy, Stephanie A.; Villegas, André; Polt, Marlies; Franklin, Kristyn; Kostić, Tanja; Kropinski, Andrew M.; Card, Roderick M.

doi:10.1016/j.diagmicrobio.2014.08.006

Cited by 19 publications

(19 citation statements)

References 32 publications

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“…Both types of error can be attributed to human error. The error rates observed were similar to the technical error previously reported for molecular serotyping of Salmonella (12). Cross-contamination errors were identified by the detection of a common antigen or serovar in many adjacent samples, and technical errors were identified by a partial antigenic formula (i.e., particularly when missing the phase 1 flagellar antigen) or a formula with no match in the WKL scheme.…”

Section: Discussionsupporting

confidence: 53%

“…While it currently detects the smallest number of serovars, it has the theoretical capability of identifying more than 2,000 serovars, although not all of these have been validated. In addition, it ambiguously identifies serovar Enteritidis and other groups of serovars that have extremely similar antigenic formulae (12). Work is under way to develop a new SGSA layout to provide this additional resolution as well as additional serotyping capability.…”

Section: Discussionmentioning

confidence: 99%

“…The panel of 321 isolates was selected to represent the most globally prevalent serovars from human and nonhuman sources, many of which were previously used in a validation study (12). For the common serovars Typhimurium and Enteritidis, 20 isolates of each were tested.…”

Section: Methodsmentioning

confidence: 99%

“…The SGSA microarray and procedures were as described previously (7), with some modifications as outlined by Yoshida et al (12).…”

Section: Methodsmentioning

confidence: 99%

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Evaluation of Molecular Methods for Identification of Salmonella Serovars

et al. 2016

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bClassification by serotyping is the essential first step in the characterization of Salmonella isolates and is important for surveillance, source tracking, and outbreak detection. To improve detection and reduce the burden of salmonellosis, several rapid and high-throughput molecular Salmonella serotyping methods have been developed.The aim of this study was to compare three commercial kits, Salm SeroGen (Salm Sero-Genotyping AS-1 kit), Check&Trace (Check-Points), and xMAP (xMAP Salmonella serotyping assay), to the Salmonella genoserotyping array (SGSA) developed by our laboratory. They were assessed using a panel of 321 isolates that represent commonly reported serovars from human and nonhuman sources globally. The four methods correctly identified 73.8% to 94.7% of the isolates tested. The methods correctly identified 85% and 98% of the clinically important Salmonella serovars Enteritidis and Typhimurium, respectively. The methods correctly identified 75% to 100% of the nontyphoidal, broad host range Salmonella serovars, including Heidelberg, Hadar, Infantis, Kentucky, Montevideo, Newport, and Virchow. The sensitivity and specificity of Salmonella serovars Typhimurium and Enteritidis ranged from 85% to 100% and 99% to 100%, respectively.It is anticipated that whole-genome sequencing will replace serotyping in public health laboratories in the future. However, at present, it is approximately three times more expensive than molecular methods. Until consistent standards and methodologies are deployed for whole-genome sequencing, data analysis and interlaboratory comparability remain a challenge. The use of molecular serotyping will provide a valuable high-throughput alternative to traditional serotyping. This comprehensive analysis provides a detailed comparison of commercial kits available for the molecular serotyping of Salmonella.

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Section: Discussionsupporting

confidence: 53%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…The SGSA microarray and procedures were as described previously (7), with some modifications as outlined by Yoshida et al (12).…”

Section: Methodsmentioning

confidence: 99%

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Evaluation of Molecular Methods for Identification of Salmonella Serovars

et al. 2016

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“…The main antigens of Salmonella are lipopolysaccharide (O antigen), flagellin (H antigen), and capsular polysaccharide (Vi antigen). The difference in O antigen and H antigen between strains is the basis for Salmonella serotyping [7]. The standard detection method for Salmonella is culture-based and requires multiple steps of enrichment and biochemical confirmation.…”

Section: Introductionmentioning

confidence: 99%

Gold nanoparticle-based strip sensor for multiple detection of twelve Salmonella strains with a genus-specific lipopolysaccharide antibody

et al. 2016

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In this study, an innovative competitive immunochromatographic strip sensor was developed for rapid detection of Salmonella based on a genus-specific antilipopolysaccharide (LPS) monoclonal antibody (mAb) and the heterogeneous coating antigen of a LPS-bovine serum albumin conjugate. Gold nanoparticles labeled anti-LPS mAb specifically reacted with the conserved outer core of the Salmonella LPS in the sample and the color formed on the T line was negatively correlated with the number of Salmonella cells. The sensitivity of Ra mutant LPS (without O-specific chains but has the conserved outer core) was 25 ng mL -1 , which explained the detection of Salmonella at the genus level. Based on the gray values on the test line, the limit of detection of Salmonella was 10 3 colony-forming unit (CFU) for all twelve typical strains of Salmonella. The analysis of common Gram-negative and Gram-positive bacteria demonstrated that the strip assay was specific to Salmonella. A milk sample test showed that Salmonella at a low level (1-5 CFU mL -1 ) was detected without complex biochemical confirmation steps, sophisticated instruments and professional training.

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Advanced Methods for Detection of Foodborne Pathogens

Harbottle¹

2018

Advanced Techniques in Diagnostic Microbiology

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

Cited by 19 publications

References 32 publications

Evaluation of Molecular Methods for Identification of Salmonella Serovars

Evaluation of Molecular Methods for Identification of Salmonella Serovars

Gold nanoparticle-based strip sensor for multiple detection of twelve Salmonella strains with a genus-specific lipopolysaccharide antibody

Advanced Methods for Detection of Foodborne Pathogens

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