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BackgroundDirect immuno-fluorescence test (IFAT) and multiplex real-time RT-PCR have been central to RSV diagnosis in Kilifi, Kenya. Recently, these two methods showed discrepancies with an increasing number of PCR undetectable RSV-B viruses.ObjectivesEstablish if mismatches in the primer and probe binding sites could have reduced real-time RT-PCR sensitivity.Study designNucleoprotein (N) and glycoprotein (G) genes were sequenced for real-time RT-PCR positive and negative samples. Primer and probe binding regions in N gene were checked for mismatches and phylogenetic analyses done to determine molecular epidemiology of these viruses. New primers and probe were designed and tested on the previously real-time RT-PCR negative samples.ResultsN gene sequences revealed 3 different mismatches in the probe target site of PCR negative, IFAT positive viruses. The primers target sites had no mismatches. Phylogenetic analysis of N and G genes showed that real-time RT-PCR positive and negative samples fell into distinct clades. Newly designed primers-probe pair improved detection and recovered previous PCR undetectable viruses.ConclusionsAn emerging RSV-B variant is undetectable by a quite widely used real-time RT-PCR assay due to polymorphisms that influence probe hybridization affecting PCR accuracy.

Original publication

DOI

10.1016/j.jcv.2016.12.011

Type

Journal

Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology

Publication Date

03/2017

Volume

88

Pages

21 - 25

Addresses

Epidemiology and Demography Department, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya. Electronic address: ekamau@kemri-wellcome.org.

Keywords

Humans, Respiratory Syncytial Viruses, Respiratory Syncytial Virus Infections, Nucleoproteins, Viral Fusion Proteins, Oligonucleotide Probes, RNA, Viral, DNA Primers, False Negative Reactions, Molecular Diagnostic Techniques, Sensitivity and Specificity, Reverse Transcriptase Polymerase Chain Reaction, Sequence Analysis, DNA, Binding Sites, Kenya, Genetic Variation, Real-Time Polymerase Chain Reaction