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Optimal Evolution of the Standard Genetic Code

The Standard Genetic Code (SGC) exists in every known organism on Earth. SGC evolution via early unique codon assignment, then later wobble, yields coding resembling the near-universal code. Below, later wobble is shown to also create an optimal route to accurate codon assignment. Time of optimal co...

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Autor principal: Yarus, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884564/
https://www.ncbi.nlm.nih.gov/pubmed/33486548
http://dx.doi.org/10.1007/s00239-020-09984-8
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author Yarus, Michael
author_facet Yarus, Michael
author_sort Yarus, Michael
collection PubMed
description The Standard Genetic Code (SGC) exists in every known organism on Earth. SGC evolution via early unique codon assignment, then later wobble, yields coding resembling the near-universal code. Below, later wobble is shown to also create an optimal route to accurate codon assignment. Time of optimal codon assignment matches the previously defined mean time for ordered coding, exhibiting ≥ 90% of SGC order. Accurate evolution is also accessible, sufficiently frequent to appear in populations of 10(3) to 10(4) codes. SGC-like coding capacity, code order, and accurate assignments therefore arise together, in one attainable evolutionary intermediate. Examples, which plausibly resemble coding at evolutionary domain separation, are characterized.
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spelling pubmed-78845642021-02-25 Optimal Evolution of the Standard Genetic Code Yarus, Michael J Mol Evol Original Article The Standard Genetic Code (SGC) exists in every known organism on Earth. SGC evolution via early unique codon assignment, then later wobble, yields coding resembling the near-universal code. Below, later wobble is shown to also create an optimal route to accurate codon assignment. Time of optimal codon assignment matches the previously defined mean time for ordered coding, exhibiting ≥ 90% of SGC order. Accurate evolution is also accessible, sufficiently frequent to appear in populations of 10(3) to 10(4) codes. SGC-like coding capacity, code order, and accurate assignments therefore arise together, in one attainable evolutionary intermediate. Examples, which plausibly resemble coding at evolutionary domain separation, are characterized. Springer US 2021-01-24 2021 /pmc/articles/PMC7884564/ /pubmed/33486548 http://dx.doi.org/10.1007/s00239-020-09984-8 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Yarus, Michael
Optimal Evolution of the Standard Genetic Code
title Optimal Evolution of the Standard Genetic Code
title_full Optimal Evolution of the Standard Genetic Code
title_fullStr Optimal Evolution of the Standard Genetic Code
title_full_unstemmed Optimal Evolution of the Standard Genetic Code
title_short Optimal Evolution of the Standard Genetic Code
title_sort optimal evolution of the standard genetic code
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884564/
https://www.ncbi.nlm.nih.gov/pubmed/33486548
http://dx.doi.org/10.1007/s00239-020-09984-8
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