Quantitative differential analysis of norovirus outbreak samples using RT-ddPCR

Lett Appl Microbiol. 2022 Jul;75(1):29-35. doi: 10.1111/lam.13702. Epub 2022 Mar 29.

Abstract

Noroviruses cause acute gastroenteritis with symptoms of diarrhoea and vomiting, and their high infectivity allows outbreaks to readily occur. Quickly identifying and isolating potential contaminants is an effective method to prevent the spread of outbreaks. A total of 376 samples collected from nine outbreaks were categorized as either patient, asymptomatic individual, cook or environmental samples, according to the source of contamination. Using real-time PCR and sequencing analysis, norovirus GII genotypes were detected in 34·9% of samples from patients, 19·2% from asymptomatic individuals, 2·4% from the environment and 1·4% from cooks. Our findings showed contrasting results in samples categories quantified based on the limit of blank and detection limit by reverse transcription droplet digital PCR, which is a more sensitive testing method than real-time-PCR.

Keywords: Norovirus; RNA; RT-droplet digital PCR; limit of blank; limit of detection; outbreaks; realtime-PCR.

MeSH terms

  • Caliciviridae Infections* / epidemiology
  • Disease Outbreaks
  • Feces
  • Gastroenteritis* / epidemiology
  • Genotype
  • Humans
  • Norovirus* / genetics
  • RNA, Viral / genetics
  • Real-Time Polymerase Chain Reaction / methods

Substances

  • RNA, Viral