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

Sergei L. Kosakovsky Pond, A. F. Y. Poon, Andrew J. Leigh Brown, S. D. W. Frost

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)1809-1824
Number of pages16
JournalMolecular Biology and Evolution
Volume25
Issue number9
DOIs
Publication statusPublished - Oct 2008

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