Literature DB >> 12069719

Construction of genetic code from evolutionary stability.

Liaofu Luo1, Xiaoqin Li.   

Abstract

The construction of the genetic code is investigated based on a stability principle. The concept and formulation of mutational deterioration (MD) of the genetic code is proposed. It is proved that the degeneracies of codon multiplets obey the rule to best resist MD. The MD for each ideal multiplet of codons is expressed by four parameters and it takes on a minimum value for real distributions of codons in the multiplet. Then the global mutational deterioration (GMD) of code table is calculated and the minimal code is deduced. The domain-like distribution of hydrophobic and hydrophilic amino acids on the genetic code is explained from the minimization of GMD. It is demonstrated that the standard code is approximately GMD-minimal. By introducing some constraints that are related to the initial condition of the system, we have deduced the standard genetic code from the minimization of GMD. The minimization shows the general trend of evolutionary process to some stable state while the constraints reflect a 'frozen accident.' Many deviant codon assignments are also explained through MD minimization assuming the changeable degrees of degeneracies for some multiplets. So, a possible answer to the question of "Why are synonymous codons and amino acids distributed in the code table just as they are?" is given.

Mesh:

Year:  2002        PMID: 12069719     DOI: 10.1016/s0303-2647(02)00009-6

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


  3 in total

1.  On the evolution of primitive genetic codes.

Authors:  Günter Weberndorfer; Ivo L Hofacker; Peter F Stadler
Journal:  Orig Life Evol Biosph       Date:  2003-10       Impact factor: 1.950

2.  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

Review 3.  Bioinformatics in China: a personal perspective.

Authors:  Liping Wei; Jun Yu
Journal:  PLoS Comput Biol       Date:  2008-04-25       Impact factor: 4.475

  3 in total

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