Validation of quantitative real-time RT-PCR assays for the detection of six honeybee viruses
•The accuracy of 5 RT-qPCRs was assessed for their ability to quantify Europe’s most frequently-detected viruses.•Honeybees collected in France (2012–2019) were tested to determine the frequency of each viral load.•Viral load thresholds were suggested to differentiate covert from overt infections. A...
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Veröffentlicht in: | Journal of virological methods 2019-08, Vol.270, p.70-78 |
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Zusammenfassung: | •The accuracy of 5 RT-qPCRs was assessed for their ability to quantify Europe’s most frequently-detected viruses.•Honeybees collected in France (2012–2019) were tested to determine the frequency of each viral load.•Viral load thresholds were suggested to differentiate covert from overt infections.
Acute bee paralysis virus (ABPV), Black queen cell virus (BQCV), Chronic bee paralysis virus (CBPV), Deformed wing virus (DWV), Sacbrood virus (SBV) and Varroa destructor virus 1 (VDV1) are the six main honeybee viruses reported in Europe. We assessed the accuracy (trueness and precision) of reverse transcriptase quantitative TaqMan® PCR methods (RT-qPCR) for quantifying ABPV, BQCV, DWV, VDV1 and SBV loads. Once the systematic bias in quantitative results had been corrected (overestimation in ABPV and BQCV quantification and underestimation in that of SBV and VDV1), measurements were taken to determine the viral load ranges for which quantification uncertainty was below ± 1 log10 equivalent of genome copies per bee (hereafter reported as genome copies/bee). The accuracy range of RT-qPCR was found to be between 6.4 and 10.4 log10 genome copies/bee for ABPV, between 3.0 and 10.0 log10 genome copies/bee for BQCV, between 2.4 and 10.4 log10 genome copies/bee for DWV and between 3.4 and 10.4 log10 genome copies/bee for SBV. Outside these ranges, the results’ uncertainty is higher. VDV1 RT-qPCR accuracy was outside accuracy limits for all viral loads. Using these RT-qPCR methods, we quantified viral loads in naturally-infected honeybees. The viral load distribution and clinical signs reported with the honeybee samples allowed us to define a threshold that could be used to differentiate between covert and overt infections. These methods will be useful in diagnosing the main viral infections impairing honeybee health. |
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ISSN: | 0166-0934 1879-0984 |
DOI: | 10.1016/j.jviromet.2019.04.020 |