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Non-Standard Genetic Codes Define New Concepts for Protein Engineering

The essential feature of the genetic code is the strict one-to-one correspondence between codons and amino acids. The canonical code consists of three stop codons and 61 sense codons that encode 20% of the amino acid repertoire observed in nature. It was originally designated as immutable and univer...

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Autores principales: Bezerra, Ana R., Guimarães, Ana R., Santos, Manuel A. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4695839/
https://www.ncbi.nlm.nih.gov/pubmed/26569314
http://dx.doi.org/10.3390/life5041610
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author Bezerra, Ana R.
Guimarães, Ana R.
Santos, Manuel A. S.
author_facet Bezerra, Ana R.
Guimarães, Ana R.
Santos, Manuel A. S.
author_sort Bezerra, Ana R.
collection PubMed
description The essential feature of the genetic code is the strict one-to-one correspondence between codons and amino acids. The canonical code consists of three stop codons and 61 sense codons that encode 20% of the amino acid repertoire observed in nature. It was originally designated as immutable and universal due to its conservation in most organisms, but sequencing of genes from the human mitochondrial genomes revealed deviations in codon assignments. Since then, alternative codes have been reported in both nuclear and mitochondrial genomes and genetic code engineering has become an important research field. Here, we review the most recent concepts arising from the study of natural non-standard genetic codes with special emphasis on codon re-assignment strategies that are relevant to engineering genetic code in the laboratory. Recent tools for synthetic biology and current attempts to engineer new codes for incorporation of non-standard amino acids are also reviewed in this article.
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spelling pubmed-46958392016-01-19 Non-Standard Genetic Codes Define New Concepts for Protein Engineering Bezerra, Ana R. Guimarães, Ana R. Santos, Manuel A. S. Life (Basel) Review The essential feature of the genetic code is the strict one-to-one correspondence between codons and amino acids. The canonical code consists of three stop codons and 61 sense codons that encode 20% of the amino acid repertoire observed in nature. It was originally designated as immutable and universal due to its conservation in most organisms, but sequencing of genes from the human mitochondrial genomes revealed deviations in codon assignments. Since then, alternative codes have been reported in both nuclear and mitochondrial genomes and genetic code engineering has become an important research field. Here, we review the most recent concepts arising from the study of natural non-standard genetic codes with special emphasis on codon re-assignment strategies that are relevant to engineering genetic code in the laboratory. Recent tools for synthetic biology and current attempts to engineer new codes for incorporation of non-standard amino acids are also reviewed in this article. MDPI 2015-11-10 /pmc/articles/PMC4695839/ /pubmed/26569314 http://dx.doi.org/10.3390/life5041610 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Bezerra, Ana R.
Guimarães, Ana R.
Santos, Manuel A. S.
Non-Standard Genetic Codes Define New Concepts for Protein Engineering
title Non-Standard Genetic Codes Define New Concepts for Protein Engineering
title_full Non-Standard Genetic Codes Define New Concepts for Protein Engineering
title_fullStr Non-Standard Genetic Codes Define New Concepts for Protein Engineering
title_full_unstemmed Non-Standard Genetic Codes Define New Concepts for Protein Engineering
title_short Non-Standard Genetic Codes Define New Concepts for Protein Engineering
title_sort non-standard genetic codes define new concepts for protein engineering
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4695839/
https://www.ncbi.nlm.nih.gov/pubmed/26569314
http://dx.doi.org/10.3390/life5041610
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