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Dynamic changes in translational efficiency are deduced from codon usage of the transcriptome
Translation of a gene is assumed to be efficient if the supply of the tRNAs that translate it is high. Yet high-abundance tRNAs are often also at high demand since they correspond to preferred codons in genomes. Thus to fully model translational efficiency one must gauge the supply-to-demand ratio o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3488229/ https://www.ncbi.nlm.nih.gov/pubmed/22941644 http://dx.doi.org/10.1093/nar/gks772 |
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author | Gingold, Hila Dahan, Orna Pilpel, Yitzhak |
author_facet | Gingold, Hila Dahan, Orna Pilpel, Yitzhak |
author_sort | Gingold, Hila |
collection | PubMed |
description | Translation of a gene is assumed to be efficient if the supply of the tRNAs that translate it is high. Yet high-abundance tRNAs are often also at high demand since they correspond to preferred codons in genomes. Thus to fully model translational efficiency one must gauge the supply-to-demand ratio of the tRNAs that are required by the transcriptome at a given time. The tRNAs’ supply is often approximated by their gene copy number in the genome. Yet neither the demand for each tRNA nor the extent to which its concentration changes across environmental conditions has been extensively examined. Here we compute changes in the codon usage of the transcriptome across different conditions in several organisms by inspecting conventional mRNA expression data. We find recurring dynamics of codon usage in the transcriptome in multiple stressful conditions. In particular, codons that are translated by rare tRNAs become over-represented in the transcriptome in response to stresses. These results raise the possibility that the tRNA pool might dynamically change upon stress to support efficient translation of stress-transcribed genes. Alternatively, stress genes may be typically translated with low efficiency, presumably due to lack of sufficient evolutionary optimization pressure on their codon usage. |
format | Online Article Text |
id | pubmed-3488229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34882292012-11-06 Dynamic changes in translational efficiency are deduced from codon usage of the transcriptome Gingold, Hila Dahan, Orna Pilpel, Yitzhak Nucleic Acids Res Computational Biology Translation of a gene is assumed to be efficient if the supply of the tRNAs that translate it is high. Yet high-abundance tRNAs are often also at high demand since they correspond to preferred codons in genomes. Thus to fully model translational efficiency one must gauge the supply-to-demand ratio of the tRNAs that are required by the transcriptome at a given time. The tRNAs’ supply is often approximated by their gene copy number in the genome. Yet neither the demand for each tRNA nor the extent to which its concentration changes across environmental conditions has been extensively examined. Here we compute changes in the codon usage of the transcriptome across different conditions in several organisms by inspecting conventional mRNA expression data. We find recurring dynamics of codon usage in the transcriptome in multiple stressful conditions. In particular, codons that are translated by rare tRNAs become over-represented in the transcriptome in response to stresses. These results raise the possibility that the tRNA pool might dynamically change upon stress to support efficient translation of stress-transcribed genes. Alternatively, stress genes may be typically translated with low efficiency, presumably due to lack of sufficient evolutionary optimization pressure on their codon usage. Oxford University Press 2012-11 2012-08-30 /pmc/articles/PMC3488229/ /pubmed/22941644 http://dx.doi.org/10.1093/nar/gks772 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Gingold, Hila Dahan, Orna Pilpel, Yitzhak Dynamic changes in translational efficiency are deduced from codon usage of the transcriptome |
title | Dynamic changes in translational efficiency are deduced from codon usage of the transcriptome |
title_full | Dynamic changes in translational efficiency are deduced from codon usage of the transcriptome |
title_fullStr | Dynamic changes in translational efficiency are deduced from codon usage of the transcriptome |
title_full_unstemmed | Dynamic changes in translational efficiency are deduced from codon usage of the transcriptome |
title_short | Dynamic changes in translational efficiency are deduced from codon usage of the transcriptome |
title_sort | dynamic changes in translational efficiency are deduced from codon usage of the transcriptome |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3488229/ https://www.ncbi.nlm.nih.gov/pubmed/22941644 http://dx.doi.org/10.1093/nar/gks772 |
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