A maximum likelihood method for detecting directional evolution in protein sequences and its application to influenza A virus

Mol Biol Evol. 2008 Sep;25(9):1809-24. doi: 10.1093/molbev/msn123. Epub 2008 May 29.

Abstract

We develop a model-based phylogenetic maximum likelihood test for evidence of preferential substitution toward a given residue at individual positions of a protein alignment--directional evolution of protein sequences (DEPS). DEPS can identify both the target residue and sites evolving toward it, help detect selective sweeps and frequency-dependent selection--scenarios that confound most existing tests for selection, and achieve good power and accuracy on simulated data. We applied DEPS to alignments representing different genomic regions of influenza A virus (IAV), sampled from avian hosts (H5N1 serotype) and human hosts (H3N2 serotype), and identified multiple directionally evolving sites in 5/8 genomic segments of H5N1 and H3N2 IAV. We propose a simple descriptive classification of directionally evolving sites into 5 groups based on the temporal distribution of residue frequencies and document known functional correlates, such as immune escape or host adaptation.

Publication types

  • Evaluation Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Amino Acid Sequence*
  • Amino Acid Substitution
  • Computer Simulation
  • Evolution, Molecular*
  • Genes, Viral
  • Humans
  • Influenza A Virus, H3N2 Subtype / genetics*
  • Influenza A Virus, H5N1 Subtype / genetics*
  • Influenza A virus / genetics
  • Likelihood Functions*
  • Models, Genetic
  • Models, Statistical
  • Polymorphism, Genetic
  • Sequence Alignment
  • Viral Proteins / genetics*

Substances

  • Viral Proteins