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Protein Sequences Recapitulate Genetic Code Evolution

Several hypotheses predict ranks of amino acid assignments to genetic code's codons. Analyses here show that average positions of amino acid species in proteins correspond to assignment ranks, in particular as predicted by Juke's neutral mutation hypothesis for codon assignments. In all te...

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Autor principal: Seligmann, Hervé
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6040577/
https://www.ncbi.nlm.nih.gov/pubmed/30002789
http://dx.doi.org/10.1016/j.csbj.2018.05.001
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author Seligmann, Hervé
author_facet Seligmann, Hervé
author_sort Seligmann, Hervé
collection PubMed
description Several hypotheses predict ranks of amino acid assignments to genetic code's codons. Analyses here show that average positions of amino acid species in proteins correspond to assignment ranks, in particular as predicted by Juke's neutral mutation hypothesis for codon assignments. In all tested protein groups, including co- and post-translationally folding proteins, ‘recent’ amino acids are on average closer to gene 5′ extremities than ‘ancient’ ones. Analyses of pairwise residue contact energies matrices suggest that early amino acids stereochemically selected late ones that stablilize residue interactions within protein cores, presumably producing 5′-late-to-3′-early amino acid protein sequence gradients. The gradient might reduce protein misfolding, also after mutations, extending principles of neutral mutations to protein folding. Presumably, in self-perpetuating and self-correcting systems like the genetic code, initial conditions produce similarities between evolution of the process (the genetic code) and ‘ontogeny’ of resulting structures (here proteins), producing apparent teleonomy between process and product.
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spelling pubmed-60405772018-07-12 Protein Sequences Recapitulate Genetic Code Evolution Seligmann, Hervé Comput Struct Biotechnol J Research Article Several hypotheses predict ranks of amino acid assignments to genetic code's codons. Analyses here show that average positions of amino acid species in proteins correspond to assignment ranks, in particular as predicted by Juke's neutral mutation hypothesis for codon assignments. In all tested protein groups, including co- and post-translationally folding proteins, ‘recent’ amino acids are on average closer to gene 5′ extremities than ‘ancient’ ones. Analyses of pairwise residue contact energies matrices suggest that early amino acids stereochemically selected late ones that stablilize residue interactions within protein cores, presumably producing 5′-late-to-3′-early amino acid protein sequence gradients. The gradient might reduce protein misfolding, also after mutations, extending principles of neutral mutations to protein folding. Presumably, in self-perpetuating and self-correcting systems like the genetic code, initial conditions produce similarities between evolution of the process (the genetic code) and ‘ontogeny’ of resulting structures (here proteins), producing apparent teleonomy between process and product. Research Network of Computational and Structural Biotechnology 2018-05-30 /pmc/articles/PMC6040577/ /pubmed/30002789 http://dx.doi.org/10.1016/j.csbj.2018.05.001 Text en © 2018 The Author http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Seligmann, Hervé
Protein Sequences Recapitulate Genetic Code Evolution
title Protein Sequences Recapitulate Genetic Code Evolution
title_full Protein Sequences Recapitulate Genetic Code Evolution
title_fullStr Protein Sequences Recapitulate Genetic Code Evolution
title_full_unstemmed Protein Sequences Recapitulate Genetic Code Evolution
title_short Protein Sequences Recapitulate Genetic Code Evolution
title_sort protein sequences recapitulate genetic code evolution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6040577/
https://www.ncbi.nlm.nih.gov/pubmed/30002789
http://dx.doi.org/10.1016/j.csbj.2018.05.001
work_keys_str_mv AT seligmannherve proteinsequencesrecapitulategeneticcodeevolution