bioRxivMicrobiologyPreprint
Flu Mutation Explorer: an Interactive Platform for Mapping Host Adaptation Mutations in Influenza A Viruses
Laura Noelia MojsiejczukiD, Derek WrightiD, Robert James GiffordiD, Thomas P. PeacockiD, David L. RobertsoniD, Joseph HughesiD, Daniel H. GoldhilliD, Edward C. HutchinsoniD
Abstract
A rapid expansion of influenza A virus (IAV) genome sequencing has transformed global surveillance but has also created major challenges for interpreting the biological significance of viral mutations, particularly amino acid replacements associated with host adaptation. Resources have been created to support mutation annotation and phylogenetic analysis, but there is a need for a tool that integrates experimentally derived phenotypic evidence with evolutionary context in a framework suitable for users without prior training in bioinformatics. Here, we present the Flu Mutation Explorer, an interactive web application that combines large-scale influenza phylogenies with a manually curated database of reported mammalian adaptation mutations, to enable the exploration and interpretation of IAV genetic variation. The underlying database comprises over 1.5 million publicly available IAV sequences and over 1000 mutations associated with mammalian adaptation. The Flu Mutation Explorer enables users to query protein sequences, visualise amino acid distributions across viral lineages, examine host-specific conservation patterns, and identify adaptation mutation with links to supporting literature. We include case studies which demonstrate the platforms use in assessing amino acid conservation at sites of interest and in rapidly identifying candidate mammalian adaptation mutations during the ongoing H5N1 panzootic. By integrating genomic, phylogenetic, and functional information into an intuitive interface, the Flu Mutation Explorer lowers the barriers to interpreting influenza sequences for specialists and non-specialists alike.
- organism: virus
- assay: whole-genome sequencing
- research focus: host-pathogen & immune response
- research focus: database / resource
- research focus: software / tool
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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