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• W2083970024 startingPage "63" @default.
• W2083970024 abstract "The standard genetic code, by which most organisms translate genetic material into protein metabolism, is non-randomly organized. The Error Minimization hypothesis interprets this non-randomness as an adaptation, proposing that natural selection produced a pattern of codon assignments that buffers genomes against the impact of mutations. Indeed, on the average any given point mutation has a lesser effect on the chemical properties of the utilized amino acid than expected by chance. Might it also, however, be the case that the non-random nature of the code effects the rate of adaptive evolution? To investigate this, here we develop population genetic simulations to test the rate of adaptive gene evolution under different genetic codes. We identify two independent properties of a genetic code that profoundly influence the speed of adaptive evolution. Noting that the standard genetic code exhibits both, we offer a new insight into the effects of the error minimizing code: such a code enhances the efficacy of adaptive sequence evolution." @default.
• W2083970024 created "2016-06-24" @default.
• W2083970024 creator A5005546821 @default.
• W2083970024 creator A5007973574 @default.
• W2083970024 date "2006-03-01" @default.
• W2083970024 modified "2023-10-03" @default.
• W2083970024 title "The standard genetic code enhances adaptive evolution of proteins" @default.
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• W2083970024 doi "https://doi.org/10.1016/j.jtbi.2005.07.012" @default.
• W2083970024 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16325205" @default.
• W2083970024 hasPublicationYear "2006" @default.
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