Design of a set of probes with high potential for influenza virus epidemiological surveillance

An Influenza Probe Set (IPS) consisting in 1,249 9-mer probes for genomic fingerprinting of closely and distantly related InfluenzaVirus strains was designed and tested in silico. The IPS was derived from alignments of Influenza genomes. The RNA segments of5,133 influenza strains having diverse degree of relatedness were concatenated and aligned. After alignment, 9-mer sites havinghigh Shannon entropy were searched. Additional criteria such as: G+C content between 35 to 65%, absence of dimer or trimerconsecutive repeats, a minimum of 2 differences between 9mers and selecting only sequences with Tm values between 34.5 and36.5oC were applied for selecting probes with high sequential entropy. Virtual Hybridization was used to predict GenomicFingerprints to assess the capability of the IPS to discriminate between influenza and related strains. Distance scores between pairsof Influenza Genomic Fingerprints were calculated, and used for estimating Taxonomic Trees. Visual examination of both GenomicFingerprints and Taxonomic Trees suggest that the IPS is able to discriminate between distant and closely related Influenza strains.It is proposed that the IPS can be used to investigate, by virtual or experimental hybridization, any new, and potentially virulent,strain.