Document Detail

An Alternative Look at Code Evolution: Using Non-canonical Codes to Evaluate Adaptive and Historic Models for the Origin of the Genetic Code.
MedLine Citation:
PMID:  23344715     Owner:  NLM     Status:  Publisher    
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.
David W Morgens; Andre R O Cavalcanti
Related Documents :
24215365 - Effects of polymorphisms and haplotypes within the mstn gene on duck growth rate.
24763815 - Neonatal severe hyperparathyroidism due to compound heterozygous mutation of calcium se...
22960875 - Ataxia-telangiectasia mutated (atm) genetic variant in italian centenarians.
23739125 - A large cohort of myotonia congenita probands: novel mutations and a high-frequency mut...
20597905 - Elucidation of cyp2d6 genetic diversity in a unique african population: implications fo...
10352225 - Cis-regulation of inter-allelic exchanges in mutation at human minisatellite ms205 in y...
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-24
Journal Detail:
Title:  Journal of molecular evolution     Volume:  -     ISSN:  1432-1432     ISO Abbreviation:  J. Mol. Evol.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0360051     Medline TA:  J Mol Evol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Department of Biology, Pomona College, 175 W 6th Street, Claremont, CA, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Asymmetric Functional Divergence of Young, Dispersed Gene Duplicates in Arabidopsis thaliana.
Next Document:  Clinical trials with new oral anticoagulants. Additive value of indirect comparisons also named netw...