European Union Reference Laboratory (EURL) for Foodborne Viruses, National Food Agency, Hamnesplanaden 5, 453 23, Uppsala, Sweden.
Department of Medical Sciences, Zoonosis Science Centre, Uppsala University, Uppsala, Sweden.
Food Environ Virol. 2019 Sep;11(3):297-308. doi: 10.1007/s12560-019-09387-z. Epub 2019 Apr 19.
Mismatches between template sequences and reverse transcription (RT) or polymerase chain reaction (PCR) primers can lead to underestimation or false negative results during detection and quantification of sequence-diverse viruses. We performed an in silico inclusivity analysis of a widely used RT-PCR assay for detection of hepatitis A virus (HAV) in food, described in ISO 15216-1. One of the most common mismatches found was a single G (primer) to U (template) mismatch located at the terminal 3'-end of the reverse primer region. This mismatch was present in all genotype III sequences available in GenBank. Partial HAV genomes with common or potentially severe mismatches were produced by in vitro transcription and analysed using RT-ddPCR and RT-qPCR. When using standard conditions for RT-qPCR, the mismatch identified resulted in underestimation of the template concentration by a factor of 1.7-1.8 and an increase in 95% limit of detection from 8.6 to 19 copies/reaction. The effect of this mismatch was verified using full-length viral genomes. Here, the same mismatch resulted in underestimation of the template concentration by a factor of 2.8. For the partial genomes, the presence of additional mismatches resulted in underestimation of the template concentration by up to a factor of 232. Quantification by RT-ddPCR and RT-qPCR was equally affected during analysis of RNA templates with mismatches within the reverse primer region. However, on analysing DNA templates with the same mismatches, we found that ddPCR quantification was less affected by mismatches than qPCR due to the end-point detection technique.
模板序列与逆转录(RT)或聚合酶链反应(PCR)引物之间的不匹配可能导致在检测和定量序列多样的病毒时出现低估或假阴性结果。我们对 ISO 15216-1 中描述的用于检测食品中甲肝病毒(HAV)的广泛使用的 RT-PCR 检测方法进行了广泛的包容性分析。最常见的不匹配之一是位于逆转录引物区域末端 3'端的单个 G(引物)到 U(模板)不匹配。这种不匹配存在于 GenBank 中所有可用的基因型 III 序列中。通过体外转录产生具有常见或潜在严重不匹配的部分 HAV 基因组,并使用 RT-ddPCR 和 RT-qPCR 进行分析。当使用 RT-qPCR 的标准条件时,鉴定出的不匹配会导致模板浓度低估 1.7-1.8 倍,95%检测限从 8.6 拷贝/反应增加到 19 拷贝/反应。使用全长病毒基因组验证了这种不匹配的效果。在这里,相同的不匹配导致模板浓度低估了 2.8 倍。对于部分基因组,额外的不匹配会导致模板浓度低估高达 232 倍。在分析含有逆转录引物区域内不匹配的 RNA 模板时,RT-ddPCR 和 RT-qPCR 的定量同样受到影响。然而,在分析具有相同不匹配的 DNA 模板时,我们发现由于终点检测技术,ddPCR 定量受不匹配的影响小于 qPCR。