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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Research Network of Computational and Structural Biotechnology
2018
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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. |
format | Online Article Text |
id | pubmed-6040577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
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 |