In silico re-assessment of a diagnostic RT-qPCR assay for universal detection of Influenza A viruses.

The ongoing evolution of microbial pathogens represents a significant issue in diagnostic PCR/qPCR. Many assays are burdened with false negativity due to mispriming and/or probe-binding failures. Therefore, PCR/qPCR assays used in the laboratory should be periodically re-assessed in silico on public sequences to evaluate the ability to detect actually circulating strains and to infer potentially escaping variants.

Large-scale nucleotide sequence alignment and sequence variability assessment to identify the evolutionarily highly conserved regions for universal screening PCR assay design: an example of influenza A virus.

The development of a diagnostic polymerase chain reaction (PCR) or quantitative PCR (qPCR) assay for universal detection of highly variable viral genomes is always a difficult task. The purpose of this chapter is to provide a guideline on how to align, process, and evaluate a huge set of homologous nucleotide sequences in order to reveal the evolutionarily most conserved positions suitable for universal qPCR primer and hybridization probe design. Attention is paid to the quantification and clear graphical visualization of the sequence variability at each position of the alignment.