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Revealing Reassortment in Influenza A Viruses with TreeSort.

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Summary

A new tool, TreeSort, accurately identifies influenza A virus reassortment events. Avian influenza viruses show more reassortment than human or swine strains, with specific subtypes exhibiting frequent genetic mixing.

Keywords:
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Area of Science:

  • Virology
  • Computational Biology
  • Epidemiology

Background:

  • Influenza A virus (IAV) reassortment drives viral evolution, interspecies transmission, and pandemics.
  • Understanding reassortment patterns is crucial for pandemic preparedness and risk assessment.

Purpose of the Study:

  • To introduce TreeSort, a novel computational tool for identifying recent and ancestral IAV reassortment events.
  • To analyze reassortment patterns across different IAV subtypes and hosts using TreeSort.

Main Methods:

  • Development of TreeSort, a tool utilizing phylogenetic analysis of IAV gene segments to detect reassortment.
  • Application of TreeSort to large datasets of IAV whole genomes from avian, swine, and human hosts.
  • Quantification of reassortment frequency and identification of involved gene segments.

Main Results:

  • Avian IAV exhibited higher reassortment rates than human and swine IAV, with H7 subtype showing the most frequent reassortment.
  • Swine and human H3 subtypes showed more reassortment than H1 subtypes.
  • Highly pathogenic avian influenza H5N1 clade 2.3.4.4b displayed elevated reassortment, while surface protein genes (HA, NA, MP) co-evolved with minimal reassortment, suggesting strong selection for viral fitness.

Conclusions:

  • TreeSort accurately identifies IAV reassortment events, enabling real-time tracking within and across hosts.
  • The study reveals distinct reassortment patterns among IAV subtypes and hosts, highlighting the role of co-evolution in viral fitness.
  • The tool aids in identifying novel viruses with pandemic potential for enhanced risk assessment.