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A Miniaturized Glycan Microarray Assay for Assessing Avidity and Specificity of Influenza A Virus Hemagglutinins
Published on: May 29, 2016
Identifying changes in selective constraints: host shifts in influenza
Asif U Tamuri1, Mario Dos Reis, Alan J Hay
1National Institute for Medical Research, London, United Kingdom.
Plos Computational Biology
|November 14, 2009
Summary
Identifying mutations is key to predicting influenza pandemics. This study introduces a novel phylogenetic model to pinpoint genetic changes enabling avian flu viruses to infect humans, aiding pandemic control.
Area of Science:
- Virology
- Genomics
- Evolutionary Biology
Background:
- Influenza A's natural reservoir is waterfowl, with viruses typically not adapted for human transmission.
- Reassortment or host shifts can introduce avian influenza A viruses into humans, potentially causing pandemics.
- Understanding mutations facilitating avian-to-human transmission is crucial for pandemic prediction and control.
Purpose of the Study:
- To develop and apply a novel phylogenetic approach for identifying mutations enabling avian influenza A virus adaptation to the human host.
- To pinpoint specific amino acid sites under different selection pressures in avian versus human influenza A viruses.
Main Methods:
- Utilized a sitewise non-homogeneous phylogenetic model.
- Accounted for differences in amino acid equilibrium frequencies across hosts and locations.
- Analyzed genetic data from avian and human influenza A viruses.
Main Results:
- Identified 172 amino acid sites with strong support for different selection constraints between human and avian viruses.
- Identified 518 amino acid sites with moderate support for distinct selection pressures.
- Provided a resource of critical sites for experimental virologists studying avian flu adaptation.
Conclusions:
- The novel phylogenetic model effectively identifies key mutations for avian influenza A virus host shifts.
- The identified sites are valuable for predicting the pandemic potential of influenza strains.
- This method has broad applications for studying evolutionary changes in selective constraints when temporal data is available.
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