On the Evolution of Codon Volatility
Author(s) -
Jianzhi Zhang
Publication year - 2004
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.104.034884
Subject(s) - nonsynonymous substitution , codon usage bias , biology , volatility (finance) , synonymous substitution , genetics , silent mutation , natural selection , positive selection , gene , selection (genetic algorithm) , mutation , missense mutation , econometrics , genome , economics , computer science , artificial intelligence
Volatility of a codon is defined as the probability that a random point mutation in the codon generates a nonsynonymous change. It has been proposed that higher-than-expected mean codon volatility of a gene indicates that positive selection for nonsynonymous changes has acted on the gene in the recent past. I show that strong frequency-dependent selection (minority advantage) in large populations can increase codon volatility slightly, whereas directional positive selection has no effect on volatility. Factors unrelated to positive selection, such as expression-related or GC-content-related codon usage bias, also affect volatility. These and other considerations suggest that codon volatility has only limited utility for detecting positive selection at the DNA sequence level.
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