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Updated: Jul 18, 2026

Residue-specific Incorporation of Noncanonical Amino Acids into Model Proteins Using an Escherichia coli Cell-free Transcription-translation System
Published on: August 1, 2016
Natural expansion of the genetic code
Alexandre Ambrogelly1, Sotiria Palioura, Dieter Söll
1Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520-8114, USA.
The genetic code, once thought fixed, is evolving. RNA structure, modification, and synthetase diversity reveal its dynamic nature, with new amino acids being incorporated.
Area of Science:
- Molecular Biology
- Genetics
- Evolutionary Biology
Background:
- The genetic code was historically considered a
- frozen accident,
- implying it was fixed and universal.
- Recent discoveries challenge this notion, suggesting a more dynamic and evolving system.
Purpose of the Study:
- To explore the evolutionary mechanisms shaping the genetic code.
- To investigate the roles of RNA components and aminoacyl-tRNA synthetases in code evolution.
- To examine evidence for codon reassignment and the incorporation of non-standard amino acids.
Main Methods:
- Analysis of RNA structure and modification in messenger RNA (mRNA) and transfer RNA (tRNA).
- Investigation of aminoacyl-tRNA synthetase diversity.
- Review of known codon reassignments in various organisms and subcellular organelles.
Main Results:
- RNA structure, modification, and aminoacyl-tRNA synthetase diversity play crucial roles in the genetic code's evolution.
- Codon reassignment is observed across different lineages and organelles, indicating the code is not immutable.
- The addition of selenocysteine and pyrrolysine to the standard 20 amino acids highlights the code's plasticity.
Conclusions:
- The genetic code is not a static entity but a dynamic system shaped by evolutionary pressures.
- The discovery of phosphoseryl-tRNA suggests potential for further discoveries of cotranslationally inserted modified amino acids.
- Understanding these evolutionary dynamics is key to deciphering the full complexity of the genetic code.
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