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

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Title	Design of a set of probes with high potential for influenza virus epidemiological surveillance
Authors	Luis R Carreño-Durán¹, V Larios-Serrato¹, Hueman Jaimes-Díaz¹, Hilda Pérez-Cervantes¹, Héctor Zepeda-López², Carlos Javier Sánchez-Vallejo¹, Gabriela Edith Olguín-Ruiz¹, Rogelio Maldonado-Rodríguez¹ & Alfonso Méndez-Tenorio¹*
Affiliation	¹Laboratory of Biotechnology and Genomic Bioinformatics, Department of Biochemistry, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, México City, Méxic; ²Laboratory of Conservation Medicine, Escuela Superior de Medicina, Instituto Politécnico Nacional, México City, México
Email	amendezt@ipn.mx; *Corresponding author
Article Type	Hypothesis
Date	Received April 09, 2013; Accepted April 10, 2013; Published April 30, 2013
Abstract	An Influenza Probe Set (IPS) consisting in 1,249 9-mer probes for genomic fingerprinting of closely and distantly related Influenza Virus strains was designed and tested in silico. The IPS was derived from alignments of Influenza genomes. The RNA segments of 5,133 influenza strains having diverse degree of relatedness were concatenated and aligned. After alignment, 9-mer sites having high Shannon entropy were searched. Additional criteria such as: G+C content between 35 to 65%, absence of dimer or trimer consecutive repeats, a minimum of 2 differences between 9mers and selecting only sequences with Tm values between 34.5 and 36.5oC were applied for selecting probes with high sequential entropy. Virtual Hybridization was used to predict Genomic Fingerprints to assess the capability of the IPS to discriminate between influenza and related strains. Distance scores between pairs of Influenza Genomic Fingerprints were calculated, and used for estimating Taxonomic Trees. Visual examination of both Genomic Fingerprints 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.
Keywords	IPS, fingerprinting, Virtual Hybridization, Shannon Entropy, Microarray, Influenza virus.
Citation	Durán et al. Bioinformation 9(8): 414-420 (2013)
Edited by	P Kangueane
ISSN	0973-2063
Publisher	Biomedical Informatics
License	This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.