Literature DB >> 25773583

The Self-Referential Genetic Code is Biologic and Includes the Error Minimization Property.

Romeu Cardoso Guimarães1.   

Abstract

The distribution of the triplet to amino acid correspondences in the genetic code matrix contains blocks of similarity. There are (a) groups of similar triplets coding for the same amino acid, which is called code degeneracy, and (b) clusters of similar amino acids corresponding to similar triplets. Processes that led to this regionalization have been investigated through a variety of perspectives but no consensus has been reached and no model has been convincing enough to drive experimental tests. Most traditional has been the hypothesis that the code was derived from the standard evolutionary processes of testing variations in the correspondences through the fitness measure of reaching distributions in the matrix space in an optimal manner so that the effects of mutations on protein phenotypes would be minimized, that is, with reduction of the intensity or of the deviant quality of the functional alterations associated with variations. In contrast, the self-referential model for the formation of the code is based on an original regionalization of characters through the concerted superposition of the two components of the encodings: the four modules of dimers of tRNAs are occupied sequentially by sets of amino acids that are also sequentially devoted to fulfilling specific functions in the protein sites and motifs to which they preferentially belong. Therewith, part (b) of the error-minimizing property follows. Part (a) of the property, the code degeneracy, is derived from the synthetase character of developing specificities directed initially to the principal dinucleotides of the triplets, resulting in tetracodonic degeneracy. This was later partly modified during evolution according to the developments of codon usage and the introduction of new amino acids.

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Year:  2015        PMID: 25773583     DOI: 10.1007/s11084-015-9417-6

Source DB:  PubMed          Journal:  Orig Life Evol Biosph        ISSN: 0169-6149            Impact factor:   1.950


  10 in total

Review 1.  Transfer RNA recognition by aminoacyl-tRNA synthetases.

Authors:  P J Beuning; K Musier-Forsyth
Journal:  Biopolymers       Date:  1999       Impact factor: 2.505

Review 2.  Coevolution theory of the genetic code at age thirty.

Authors:  J Tze-Fei Wong
Journal:  Bioessays       Date:  2005-04       Impact factor: 4.345

Review 3.  Optimization models and the structure of the genetic code.

Authors:  J L Jestin; A Kempf
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4.  Protein ordered sequences are formed by random joining of amino acids in protein 0(th)-order structure, followed by evolutionary process.

Authors:  Kenji Ikehara
Journal:  Orig Life Evol Biosph       Date:  2015-01-14       Impact factor: 1.950

5.  Revisiting the physico-chemical hypothesis of code origin: an analysis based on code-sequence coevolution in a finite population.

Authors:  Ashutosh Vishwa Bandhu; Neha Aggarwal; Supratim Sengupta
Journal:  Orig Life Evol Biosph       Date:  2014-02-06       Impact factor: 1.950

6.  The molecular basis for the genetic code.

Authors:  C R Woese; D H Dugre; W C Saxinger; S A Dugre
Journal:  Proc Natl Acad Sci U S A       Date:  1966-04       Impact factor: 11.205

Review 7.  Experimental studies related to the origin of the genetic code and the process of protein synthesis--a review.

Authors:  J C Lacey; D W Mullins
Journal:  Orig Life       Date:  1983-03

8.  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

9.  Exceptional error minimization in putative primordial genetic codes.

Authors:  Artem S Novozhilov; Eugene V Koonin
Journal:  Biol Direct       Date:  2009-11-19       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

  10 in total
  5 in total

1.  More Pieces of Ancient than Recent Theoretical Minimal Proto-tRNA-Like RNA Rings in Genes Coding for tRNA Synthetases.

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Journal:  J Mol Evol       Date:  2019-04-05       Impact factor: 2.395

2.  Codon Distribution in Error-Detecting Circular Codes.

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Journal:  Life (Basel)       Date:  2016-03-15

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

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Review 4.  Self-Referential Encoding on Modules of Anticodon Pairs-Roots of the Biological Flow System.

Authors:  Romeu Cardoso Guimarães
Journal:  Life (Basel)       Date:  2017-04-06

5.  Comparisons between small ribosomal RNA and theoretical minimal RNA ring secondary structures confirm phylogenetic and structural accretion histories.

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Journal:  Sci Rep       Date:  2020-05-06       Impact factor: 4.379

  5 in total

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