Literature DB >> 11162059

The origin of the genetic code cannot be studied using measurements based on the PAM matrix because this matrix reflects the code itself, making any such analyses tautologous.

M Di Giulio1.   

Abstract

Freeland et al. (Mol. Biol. Evol. 2000 a, 17, 511--518) have recently used a transformation of the PAM 74-100 matrix to study the level of optimization reached during genetic code origin. Since the PAM matrix counts the amino acid substitutions that occurred in families of homologous proteins during molecular evolution and as this process is mediated by the genetic code structure itself, it could be that the influence of the code on this matrix is such as to make any conclusion insignificant. As will be shown in the present paper, the transformation of the PAM matrix is affected in a non-marginal way by the organization of the genetic code and, thus, renders the analysis of Freeland et al. tautologous. Although, under the hypothesis of a highly optimized genetic code, some correlations may be expected between a measurement of similarity between amino acids and the genetic code structure, no certain conclusions can be drawn for the measurement used by Freeland et al. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11162059     DOI: 10.1006/jtbi.2000.2206

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  17 in total

Review 1.  The case for an error minimizing standard genetic code.

Authors:  Stephen J Freeland; Tao Wu; Nick Keulmann
Journal:  Orig Life Evol Biosph       Date:  2003-10       Impact factor: 1.950

2.  Codon usage bias and mutation constraints reduce the level of error minimization of the genetic code.

Authors:  Marco Archetti
Journal:  J Mol Evol       Date:  2004-08       Impact factor: 2.395

3.  Error-reducing structure of the genetic code indicates code origin in non-thermophile organisms.

Authors:  Alexander Gutfraind; Achim Kempf
Journal:  Orig Life Evol Biosph       Date:  2007-06-07       Impact factor: 1.950

4.  Amino acid exchangeability and the adaptive code hypothesis.

Authors:  Arlin Stoltzfus; Lev Y Yampolsky
Journal:  J Mol Evol       Date:  2007-09-26       Impact factor: 2.395

5.  A neutral origin for error minimization in the genetic code.

Authors:  Steven E Massey
Journal:  J Mol Evol       Date:  2008-10-15       Impact factor: 2.395

6.  Searching of code space for an error-minimized genetic code via codon capture leads to failure, or requires at least 20 improving codon reassignments via the ambiguous intermediate mechanism.

Authors:  Steven E Massey
Journal:  J Mol Evol       Date:  2010-01-28       Impact factor: 2.395

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

Authors:  David W Morgens; Andre R O Cavalcanti
Journal:  J Mol Evol       Date:  2013-01-24       Impact factor: 2.395

8.  On how many fundamental kinds of cells are present on Earth: looking for phylogenetic traits that would allow the identification of the primary lines of descent.

Authors:  Massimo Di Giulio
Journal:  J Mol Evol       Date:  2014-06-12       Impact factor: 2.395

9.  The Ancient Operational Code is Embedded in the Amino Acid Substitution Matrix and aaRS Phylogenies.

Authors:  Julia A Shore; Barbara R Holland; Jeremy G Sumner; Kay Nieselt; Peter R Wills
Journal:  J Mol Evol       Date:  2019-11-28       Impact factor: 2.395

Review 10.  Origin and evolution of the genetic code: the universal enigma.

Authors:  Eugene V Koonin; Artem S Novozhilov
Journal:  IUBMB Life       Date:  2009-02       Impact factor: 3.885

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