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Codon volatility as an indicator of positive selection: data from eukaryotic genome comparisons
Robert Friedman1, Austin L Hughes
1Department of Biological Sciences, University of South Carolina, Columbia, USA.
Molecular Biology and Evolution
|November 5, 2004
Summary
Codon volatility, a proposed measure of positive selection, was investigated. Results show codon volatility is linked to nucleotide content, not positive selection, across diverse species.
Area of Science:
- Evolutionary Biology
- Genomics
- Molecular Biology
Background:
- Codon volatility, defined as the proportion of a codon's point-mutation neighbors encoding different amino acids, has been proposed as an indicator of past positive selection.
- Understanding the evolutionary pressures shaping genomes is crucial for deciphering biological complexity.
Purpose of the Study:
- To investigate the relationship between codon volatility and patterns of nucleotide substitution.
- To determine if codon volatility accurately reflects positive selection across different species.
Main Methods:
- Genome-wide comparison of orthologous genes between three pairs of related species: Plasmodium falciparum/P. yoelii (protists), Saccharomyces cerevisiae/S. paradoxus (fungi), and mouse/rat (mammals).
- Analysis of synonymous and nonsynonymous nucleotide substitution rates in relation to codon volatility.
Main Results:
- Codon volatility did not consistently correlate with an elevated rate of nonsynonymous substitution, contrary to expectations for positive selection.
- The strongest association found was between codon volatility and nucleotide content at the second codon position.
- This finding aligns with the inherent properties of the genetic code.
Conclusions:
- Codon volatility may not be a reliable index for detecting past positive selection in genome-wide analyses.
- Nucleotide composition, particularly at the second codon position, is a significant factor influencing codon volatility.
- Further research is needed to identify robust molecular signatures of positive selection.