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The comparative method rules! Codon volatility cannot detect positive Darwinian selection using a single genome

Tal Dagan1, Dan Graur

  • 1Department of Zoology, George S. Wise Faculty of Life Science, Tel Aviv University, Ramat Aviv, Israel.

Molecular Biology and Evolution
|November 5, 2004
PubMed
Summary
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Codon volatility, a novel method for detecting positive selection from single genomic sequences, primarily reflects amino acid usage, not codon usage. This method is unreliable for detecting evolutionary selective pressures.

Area of Science:

  • Molecular Evolution
  • Genomics
  • Bioinformatics

Background:

  • Established methods for detecting molecular positive selection require comparative nucleotide sequence analysis.
  • A new method, 'codon volatility,' has been proposed to detect selection using only a single genomic sequence.

Purpose of the Study:

  • To evaluate the properties of codon volatility and its derivatives.
  • To determine if codon volatility can accurately detect evolutionary selective pressures using simulated evolutionary processes.

Main Methods:

  • Analysis of codon volatility properties and derivatives.
  • Simulation of evolutionary processes.
  • Comparison with established comparative methods for inferring selection.

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Main Results:

  • Codon volatility variation is limited to codons for four amino acids, acting as a proxy for amino acid usage.
  • The method fails to detect a significant percentage of synonymous (65%) and nonsynonymous (27%) changes.
  • Genes flagged by codon volatility often exhibit unusual amino acid compositions.
  • Near-zero variance in mean expectation leads to overestimated statistical significance.
  • No correlation was found between codon volatility results and established comparative selection measures.
  • Codon volatility can increase independently of positive Darwinian selection.

Conclusions:

  • Codon volatility is not a reliable indicator of positive Darwinian selection.
  • The method is primarily influenced by amino acid composition rather than true selective pressures.
  • Overestimated statistical significance and lack of correlation with established methods highlight its limitations.