ArticleJournal of molecular evolution2013
An alternative look at code evolution: using non-canonical codes to evaluate adaptive and historic models for the origin of the genetic code.
Article in Journal of molecular evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Order of amino acid recruitment into the genetic code resolved by last universal common ancestor's protein domains.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Order of amino acid recruitment into the genetic code resolved by Last Universal Common Ancestor's protein domains.bioRxiv : the preprint server for biology · 2024Article
- Genetic Code Optimization for Cotranslational Protein Folding: Codon Directional Asymmetry Correlates with Antiparallel Betasheets, tRNA Synthetase Classes.Computational and structural biotechnology journal · 2017Article
- Genetic code evolution reveals the neutral emergence of mutational robustness, and information as an evolutionary constraint.Life (Basel, Switzerland) · 2015Article
- A multiobjective approach to the genetic code adaptability problem.BMC bioinformatics · 2015Article
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Authors and funding
2 authors.
Funding
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Abstract
The canonical code has been shown many times to be highly robust against point mutations; that is, mutations that change a single nucleotide tend to result in similar amino acids more often than expected by chance. There are two major types of models for the origin of the code, which explain how this sophisticated structure evolved. Adaptive models state that the primitive code was specifically selected for error minimization, while historic models hypothesize that the robustness of the code is an artifact or by-product of the mechanism of code evolution. In this paper, we evaluated the levels of robustness in existing non-canonical codes as well as codes that differ in only one codon assignment from the standard code. We found that the level of robustness of many of these codes is comparable or better than that of the standard code. Although these results do not preclude an adaptive origin of the genetic code, they suggest that the code was not selected for minimizing the effects of point mutations.
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Registered trials
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