Sensitive Genotyping of Foodborne-Associated Human Noroviruses and Hepatitis A Virus Using an Array-Based Platform

Human noroviruses (NoV) are the leading cause of human gastroenteritis in populations of all ages and are linked to most of the foodborne outbreaks worldwide. Hepatitis A virus (HAV) is another important foodborne enteric virus and is considered the most common agent causing acute liver disease worl...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 17; no. 9; p. 2157
Main Authors Quiñones, Beatriz, Lee, Bertram G, Martinsky, Todd J, Yambao, Jaszemyn C, Haje, Paul K, Schena, Mark
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 20.09.2017
MDPI
Subjects
Deoxyribonucleic acid
DNA
Epidemics
food safety
Foodborne Diseases
foodborne pathogen
Gastroenteritis
Genotype
genotyping
Hepatitis
Hepatitis A virus
Humans
Liver
microarray
Norovirus
Outbreaks
pathogen detection
Sensitivity analysis
Viruses
food safety
foodborne pathogen
microarray
viruses
norovirus
pathogen detection
genotyping
hepatitis A virus
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Summary:Human noroviruses (NoV) are the leading cause of human gastroenteritis in populations of all ages and are linked to most of the foodborne outbreaks worldwide. Hepatitis A virus (HAV) is another important foodborne enteric virus and is considered the most common agent causing acute liver disease worldwide. In the present study, a focused, low-density DNA microarray was developed and validated for the simultaneous identification of foodborne-associated genotypes of NoV and HAV. By employing a novel algorithm, capture probes were designed to target variable genomic regions commonly used for typing these foodborne viruses. Validation results showed that probe signals, specific for the tested NoV or HAV genotypes, were on average 200-times or 38-times higher than those detected for non-targeted genotypes, respectively. To improve the analytical sensitivity of this method, a 12-mer oligonucleotide spacer sequence was added to the capture probes and resulted in a detection threshold of less than 10 cRNA transcripts. These findings have indicated that this array-based typing sensor has the accuracy and sensitivity for identifying NoV and HAV genotypic profiles predominantly linked to food poisoning. The implementation of this typing sensor would thus provide highly relevant and valuable information for use in surveillance and outbreak attribution.
ISSN:1424-8220
1424-8220
DOI:10.3390/s17092157