Literature DB >> 10658837

Protein evolution drives the evolution of the genetic code and vice versa.

M A Jiménez-Montaño1.   

Abstract

A model for the developmental pathway of the genetic code, grounded on group theory and the thermodynamics of codon-anticodon interaction is presented. At variance with previous models, it takes into account not only the optimization with respect to amino acid attributes but, also physicochemical constraints and initial conditions. A 'simple-first' rule is introduced after ranking the amino acids with respect to two current measures of chemical complexity. It is shown that a primeval code of only seven amino acids is enough to build functional proteins. It is assumed that these proteins drive the further expansion of the code. The proposed primeval code is compared with surrogate codes randomly generated and with another proposal for primeval code found in the literature. The departures from the 'universal' code, observed in many organisms and cellular compartments, fit naturally in the proposed evolutionary scheme. A strong correlation is found between, on one side, the two classes of aminoacyl-tRNA synthetases, and on the other, the amino acids grouped by end-atom-type and by codon type. An inverse of Davydov's rules, to associate the amino acid end atoms (O/N and non-O/non-N) of 18 amino acids with codons containing a weak base (A/U), extended to the 20 amino acids, is derived.

Mesh:

Substances:

Year:  1999        PMID: 10658837     DOI: 10.1016/s0303-2647(99)00058-1

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  8 in total

1.  Coding rules for amino acids in the genetic code: the genetic code is a minimal code of mutational deterioration.

Authors:  Liaofu Luo; Xiaoqin Li
Journal:  Orig Life Evol Biosph       Date:  2002-02       Impact factor: 1.950

2.  Gene algebra from a genetic code algebraic structure.

Authors:  R Sanchez; E Morgado; R Grau
Journal:  J Math Biol       Date:  2005-07-13       Impact factor: 2.259

3.  A self-referential model for the formation of the genetic code.

Authors:  Romeu Cardoso Guimarães; Carlos Henrique Costa Moreira; Sávio Torres de Farias
Journal:  Theory Biosci       Date:  2008-05-21       Impact factor: 1.919

4.  On the structural regularity in nucleobases and amino acids and relationship to the origin and evolution of the genetic code.

Authors:  Chi Ming Yang
Journal:  Orig Life Evol Biosph       Date:  2005-06       Impact factor: 1.950

5.  A model-independent approach to infer hierarchical codon substitution dynamics.

Authors:  Olof Görnerup; Martin Nilsson Jacobi
Journal:  BMC Bioinformatics       Date:  2010-04-23       Impact factor: 3.169

6.  On the organizational dynamics of the genetic code.

Authors:  Zhang Zhang; Jun Yu
Journal:  Genomics Proteomics Bioinformatics       Date:  2011-04       Impact factor: 7.691

Review 7.  The Alanine World Model for the Development of the Amino Acid Repertoire in Protein Biosynthesis.

Authors:  Vladimir Kubyshkin; Nediljko Budisa
Journal:  Int J Mol Sci       Date:  2019-11-05       Impact factor: 5.923

8.  The primordial tRNA acceptor stem code from theoretical minimal RNA ring clusters.

Authors:  Jacques Demongeot; Hervé Seligmann
Journal:  BMC Genet       Date:  2020-01-23       Impact factor: 2.797

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.