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


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.

SUBMITTER: Kosakovsky Pond SL 

PROVIDER: S-EPMC2515872 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature

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

Kosakovsky Pond Sergei L SL   Poon Art F Y AF   Leigh Brown Andrew J AJ   Frost Simon D W SD  

Molecular biology and evolution 20080529 9


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 align  ...[more]

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