Translocation Properties of Primitive Molecular Machines and Their Relevance to the Structure of the Genetic Code

We address the question, related with the origin of the genetic code, of why are there three bases per codon in the translation to protein process. As a follow-up to our previous work (Aldana et al., 1998, Martı́nez-Mekler et al., 1999a,b), we approach this problem by considering the tran...

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Bibliographic Details
Published in:Journal of theoretical biology 2003-01, Vol.220 (1), p.27-45
Main Authors: ALDANA-GONZÁLEZ, M., COCHO, G., LARRALDE, H., MARTÍNEZ-MEKLER, G.
Format: Article
Language:English
Subjects:
Animals
Codon
Evolution, Molecular
Genetic Code
Models, Genetic
Origin of Life
Translocation, Genetic
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Summary:We address the question, related with the origin of the genetic code, of why are there three bases per codon in the translation to protein process. As a follow-up to our previous work (Aldana et al., 1998, Martı́nez-Mekler et al., 1999a,b), we approach this problem by considering the translocation properties of primitive molecular machines, which capture basic features of ribosomal/messenger RNA interactions, while operating under prebiotic conditions. Our model consists of a short one-dimensional chain of charged particles (rRNA antecedent) interacting with a polymer (mRNA antecedent) via electrostatic forces. The chain is subject to external forcing that causes it to move along the polymer which is fixed in a quasi-one-dimensional geometry. Our numerical and analytic studies of statistical properties of random chain/polymer potentials suggest that, under very general conditions, a dynamics is attained in which the chain moves along the polymer in steps of three monomers. By adjusting the model in order to consider present-day genetic sequences, we show that the above property is enhanced for coding regions. Intergenic sequences display a behavior closer to the random situation. We argue that this dynamical property could be one of the underlying causes for the three-base codon structure of the genetic code
ISSN:0022-5193
1095-8541
DOI:10.1006/jtbi.2003.3108