Detalle de: A novel quantitative multiplex real-time RT-PCR for the simultaneous detection and differentiation of West Nile virus lineages 1 and 2, and of Usutu virus
| Title | A novel quantitative multiplex real-time RT-PCR for the simultaneous detection and differentiation of West Nile virus lineages 1 and 2, and of Usutu virus |
| Abstract |
An increase in activity of two mosquito-borne flaviviruses, West Nile virus (WNV) and Usutu virus (USUV), has been reported in Europe in recent years. The current epidemiological situation calls for RT-PCR methods that are able to detect not only the widespread lineage 1 (L1) WNV, but also lineage 2 (L2) WNV. In addition, the presence in Europe of the closely related USUV requires methods that can identify these three flaviviruses and permit an efficient and accurate differential diagnosis. Here we describe a new one-step real-time multiplex RT-PCR that detects and differentiates efficiently WNV-L1, WNV-L2 and USUV in a single reaction. The assay is based on different sets of primers and fluorogenic probes specific to each virus that are labelled with selective, non-overlapping fluorogen-quencher pairs. This enables the fluorescence emitted by each probe, characterized by distinct wavelengths, to be differentiated. This multiplex assay was very sensitive to all of the target viruses; in addition, there were no cross-reactions between the viruses and the assay did not react to any other phylogenetically or symptomatically related viruses. Quantitation was enabled through the use of in vitro-transcribed RNAs developed specifically for each virus as copy number standards. This new assay was validated using different types of experimental and field samples. |
| Apa Reference | Del Amo, J., Sotelo, E., Fernández-Pinero, J., Gallardo, C., Llorente, F., Agüero, M. & Jiménez-Clavero, M.A. (2013). A novel quantitative multiplex real-time RT-PCR for the simultaneous detection and differentiation of West Nile virus lineages 1 and 2, and of Usutu virus. Journal of Virological Methods, 189(2), 321-327. 10.1016/j.jviromet.2013.02.019 |
| Doi | 10.1016/j.jviromet.2013.02.019 |
| Publication Date | May 2013 |
| Publication Type | Article |
| Researcher | Jovita Fernández Pinero |
| Ontology | Phylogenetic Analysis, Invertebrates, Epidemiological modelling |
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