Key result
Crystal digital RT-PCR provided precise absolute quantification of norovirus and hepatitis A virus RNA in frozen raspberries at low contamination levels, with a 95% detection limit of 3 to 14 copies.
Why the study?
Detection of norovirus and hepatitis A virus in food samples via RT-qPCR remains challenging due to low viral concentrations, RT-qPCR inhibitors, and the requirement for a standard curve.
RT-cdPCR provides precise absolute quantification of norovirus and hepatitis A virus RNA in difficult matrices like frozen raspberries, particularly at low contamination levels.
RT-cdPCR may aid sensitive NoV/HAV quantification in berries without standard curves; leaves open routine adoption pending broader validation.
Berries are important vehicles for norovirus (NoV) and hepatitis A virus (HAV) foodborne outbreaks. Sensitive and quantitative detection of these viruses in food samples currently relies on RT-qPCR, but remains challenging due to their low concentration and the presence of RT-qPCR inhibitors. Moreover, quantification requires a standard curve. In this study, crystal digital RT-PCR (RT-cdPCR) assays were adapted from RT-qPCR sets of primers and probe currently used in our diagnostic laboratory for the detection and precise quantification of norovirus genogroups I and II (NoV GI, GII) and hepatitis A virus (HAV) RNA in frozen raspberry samples. We selected assay conditions based on optimal separation of positive and negative droplets, and peak resolution. Using virus-specific in vitro RNA transcripts diluted in raspberry RNA extracts, we showed that all three RT-cdPCR assays were sensitive, and we estimated the 95 % detection limit at 9 copies per RT-cdPCR reaction for NoV GI, 3 for NoV GII, and 14 for HAV. Serial dilutions of the RNA transcripts showed excellent linearity over a range of four orders of magnitude. We achieved precise quantification (CV ≤ 35 %) of the RNA transcripts between runs down to 15-145 copies per reaction for NoV GI, <20 for NoV GII, and < 15 for HAV. The three RT-cdPCR assays also proved to be tolerant to inhibitors from frozen raspberries, although not as tolerant as the RT-qPCR assays in the case of NoV GI and HAV. We further evaluated the assays with inoculated frozen raspberry samples and compared their performance to that of the RT-qPCR assays. As compared to the corresponding RT-qPCR assays, the NoV GI and HAV RT-cdPCR assays showed a decreased qualitative sensitivity, while the NoV GII RT-cdPCR assay had an increased sensitivity. As for quantification, the NoV GI and NoV GII RT-cdPCR assays produced similar estimates of RNA copy number than their respective RT-qPCR assays, whereas for HAV, the RT-cdPCR assay produced lower estimates than the RT-qPCR assay. However, all the RT-cdPCR assays provided more precise quantitative measurements at low levels of contamination than the RT-qPCR assays. In conclusion, the potential of the RT-cdPCR assays in this study to detect viral RNA from frozen raspberries varied according to assay, but these RT-cdPCR assays should be considered for precise absolute quantification in difficult matrices such as frozen raspberries.
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Larocque et al. (2022) studied Foodborne virus contamination (Norovirus and Hepatitis A). Crystal digital RT-PCR (RT-cdPCR) vs. Real-time RT-qPCR was evaluated on Detection limit (LOD95%) and quantification precision of viral RNA. Crystal digital RT-PCR provided precise absolute quantification of norovirus and hepatitis A virus RNA in frozen raspberries at low contamination levels, with a 95% detection limit of 3 to 14 copies.
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