Back to Search
Start Over
Use of the ISU FLU ture multisequence identity tool for rapid interpretation of swine influenza A virus sequences in the United States.
- Source :
- Journal of Veterinary Diagnostic Investigation; Sep2022, Vol. 34 Issue 5, p874-878, 5p
- Publication Year :
- 2022
-
Abstract
- Rapid and reliable identification of the hemagglutinin (HA) and neuraminidase (NA) genetic clades of an influenza A virus (IAV) sequence from swine can inform control measures and multivalent vaccine composition. Current approaches to genetically characterize HA or NA sequences are based on nucleotide similarity or phylogenetic analyses. Public databases exist to acquire IAV genetic sequences for comparison, but personnel at the diagnostic or production level have difficulty in adequately updating and maintaining relevant sequence datasets for IAV in swine. Further, phylogenetic analyses are time intensive, and inference drawn from these methods is impacted by input sequence data and associated metadata. We describe here the use of the IAV multisequence identity tool as an integrated public webpage located on the Iowa State University Veterinary Diagnostic Laboratory (ISU-VDL) FLU ture website: https://influenza.cvm.iastate.edu/. The multisequence identity tool uses sequence data derived from IAV-positive cases sequenced at the ISU-VDL, employs a BLAST algorithm that identifies sequences that are genetically similar to submitted query sequences, and presents a tabulation and visualization of the most genetically similar IAV sequence and associated metadata from the FLU ture database. Our tool removes bioinformatic barriers and allows clients, veterinarians, and researchers to rapidly classify and identify IAV sequences similar to their own sequences to augment interpretation of results. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10406387
- Volume :
- 34
- Issue :
- 5
- Database :
- Supplemental Index
- Journal :
- Journal of Veterinary Diagnostic Investigation
- Publication Type :
- Academic Journal
- Accession number :
- 158906914
- Full Text :
- https://doi.org/10.1177/10406387221111128