Literature DB >> 23344715

An alternative look at code evolution: using non-canonical codes to evaluate adaptive and historic models for the origin of the genetic code.

David W Morgens1, Andre R O Cavalcanti.   

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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Year:  2013        PMID: 23344715     DOI: 10.1007/s00239-013-9542-7

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  48 in total

1.  On the classes of aminoacyl-tRNA synthetases and the error minimization in the genetic code.

Authors:  A R Cavalcanti; B D Neto; R Ferreira
Journal:  J Theor Biol       Date:  2000-05-07       Impact factor: 2.691

2.  The evolution of a universal genetic code.

Authors:  J T Wong
Journal:  Proc Natl Acad Sci U S A       Date:  1976-07       Impact factor: 11.205

3.  On the optimality of the genetic code, with the consideration of termination codons.

Authors:  Hani Goodarzi; Hamed Ahmadi Nejad; Noorossadat Torabi
Journal:  Biosystems       Date:  2004-11       Impact factor: 1.973

4.  Consequences of stop codon reassignment on protein evolution in ciliates with alternative genetic codes.

Authors:  Karen Lee Ring; Andre R O Cavalcanti
Journal:  Mol Biol Evol       Date:  2007-11-01       Impact factor: 16.240

5.  A thermodynamic basis for prebiotic amino acid synthesis and the nature of the first genetic code.

Authors:  Paul G Higgs; Ralph E Pudritz
Journal:  Astrobiology       Date:  2009-06       Impact factor: 4.335

6.  On error minimization in a sequential origin of the standard genetic code.

Authors:  D H Ardell
Journal:  J Mol Evol       Date:  1998-07       Impact factor: 2.395

7.  The phylogeny of tRNA sequences provides evidence for ambiguity reduction in the origin of the genetic code.

Authors:  W M Fitch; K Upper
Journal:  Cold Spring Harb Symp Quant Biol       Date:  1987

8.  Stereochemical relationship between coding triplets and amino-acids.

Authors:  S R Pelc; M G Welton
Journal:  Nature       Date:  1966-02-26       Impact factor: 49.962

9.  A four-column theory for the origin of the genetic code: tracing the evolutionary pathways that gave rise to an optimized code.

Authors:  Paul G Higgs
Journal:  Biol Direct       Date:  2009-04-24       Impact factor: 4.540

10.  An extension of the coevolution theory of the origin of the genetic code.

Authors:  Massimo Di Giulio
Journal:  Biol Direct       Date:  2008-09-05       Impact factor: 4.540

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  3 in total

1.  Genetic code evolution reveals the neutral emergence of mutational robustness, and information as an evolutionary constraint.

Authors:  Steven E Massey
Journal:  Life (Basel)       Date:  2015-04-24

2.  A multiobjective approach to the genetic code adaptability problem.

Authors:  Lariza Laura de Oliveira; Paulo S L de Oliveira; Renato Tinós
Journal:  BMC Bioinformatics       Date:  2015-02-19       Impact factor: 3.169

3.  Genetic Code Optimization for Cotranslational Protein Folding: Codon Directional Asymmetry Correlates with Antiparallel Betasheets, tRNA Synthetase Classes.

Authors:  Hervé Seligmann; Ganesh Warthi
Journal:  Comput Struct Biotechnol J       Date:  2017-08-12       Impact factor: 7.271

  3 in total

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