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Translational Selection for Speed Is Not Sufficient to Explain Variation in Bacterial Codon Usage Bias

Increasing growth rate across bacteria strengthens selection for faster translation, concomitantly increasing the total number of tRNA genes and codon usage bias (CUB: enrichment of specific synonymous codons in highly expressed genes). Typically, enriched codons are translated by tRNAs with higher...

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Autores principales: Mahajan, Saurabh, Agashe, Deepa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800062/
https://www.ncbi.nlm.nih.gov/pubmed/29385509
http://dx.doi.org/10.1093/gbe/evy018
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author Mahajan, Saurabh
Agashe, Deepa
author_facet Mahajan, Saurabh
Agashe, Deepa
author_sort Mahajan, Saurabh
collection PubMed
description Increasing growth rate across bacteria strengthens selection for faster translation, concomitantly increasing the total number of tRNA genes and codon usage bias (CUB: enrichment of specific synonymous codons in highly expressed genes). Typically, enriched codons are translated by tRNAs with higher gene copy numbers (GCN). A model of tRNA–CUB coevolution based on fast growth-associated selection on translational speed recapitulates these patterns. A key untested implication of the coevolution model is that translational selection should favor higher tRNA GCN for more frequently used amino acids, potentially weakening the effect of growth-associated selection on CUB. Surprisingly, we find that CUB saturates with increasing growth rate across γ-proteobacteria, even as the number of tRNA genes continues to increase. As predicted, amino acid-specific tRNA GCN is positively correlated with the usage of corresponding amino acids, but there is no correlation between growth rate associated changes in CUB and amino acid usage. Instead, we find that some amino acids—cysteine and those in the NNA/G codon family—show weak CUB that does not increase with growth rate, despite large variation in the corresponding tRNA GCN. We suggest that amino acid-specific variation in CUB is not explained by tRNA GCN because GCN does not influence the difference between translation times of synonymous codons as expected. Thus, selection on translational speed alone cannot fully explain quantitative variation in overall or amino acid-specific CUB, suggesting a significant role for other functional constraints and amino acid-specific codon features.
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spelling pubmed-58000622018-02-12 Translational Selection for Speed Is Not Sufficient to Explain Variation in Bacterial Codon Usage Bias Mahajan, Saurabh Agashe, Deepa Genome Biol Evol Research Article Increasing growth rate across bacteria strengthens selection for faster translation, concomitantly increasing the total number of tRNA genes and codon usage bias (CUB: enrichment of specific synonymous codons in highly expressed genes). Typically, enriched codons are translated by tRNAs with higher gene copy numbers (GCN). A model of tRNA–CUB coevolution based on fast growth-associated selection on translational speed recapitulates these patterns. A key untested implication of the coevolution model is that translational selection should favor higher tRNA GCN for more frequently used amino acids, potentially weakening the effect of growth-associated selection on CUB. Surprisingly, we find that CUB saturates with increasing growth rate across γ-proteobacteria, even as the number of tRNA genes continues to increase. As predicted, amino acid-specific tRNA GCN is positively correlated with the usage of corresponding amino acids, but there is no correlation between growth rate associated changes in CUB and amino acid usage. Instead, we find that some amino acids—cysteine and those in the NNA/G codon family—show weak CUB that does not increase with growth rate, despite large variation in the corresponding tRNA GCN. We suggest that amino acid-specific variation in CUB is not explained by tRNA GCN because GCN does not influence the difference between translation times of synonymous codons as expected. Thus, selection on translational speed alone cannot fully explain quantitative variation in overall or amino acid-specific CUB, suggesting a significant role for other functional constraints and amino acid-specific codon features. Oxford University Press 2018-01-29 /pmc/articles/PMC5800062/ /pubmed/29385509 http://dx.doi.org/10.1093/gbe/evy018 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research Article
Mahajan, Saurabh
Agashe, Deepa
Translational Selection for Speed Is Not Sufficient to Explain Variation in Bacterial Codon Usage Bias
title Translational Selection for Speed Is Not Sufficient to Explain Variation in Bacterial Codon Usage Bias
title_full Translational Selection for Speed Is Not Sufficient to Explain Variation in Bacterial Codon Usage Bias
title_fullStr Translational Selection for Speed Is Not Sufficient to Explain Variation in Bacterial Codon Usage Bias
title_full_unstemmed Translational Selection for Speed Is Not Sufficient to Explain Variation in Bacterial Codon Usage Bias
title_short Translational Selection for Speed Is Not Sufficient to Explain Variation in Bacterial Codon Usage Bias
title_sort translational selection for speed is not sufficient to explain variation in bacterial codon usage bias
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800062/
https://www.ncbi.nlm.nih.gov/pubmed/29385509
http://dx.doi.org/10.1093/gbe/evy018
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AT agashedeepa translationalselectionforspeedisnotsufficienttoexplainvariationinbacterialcodonusagebias