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Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria

BACKGROUND: Most amino acids are encoded by multiple synonymous codons. However, synonymous codons are not used equally, and this biased codon use varies between different organisms. It has previously been shown that both selection acting to increase codon translational efficiency and selection acti...

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Autores principales: Seward, Emily A., Kelly, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6066932/
https://www.ncbi.nlm.nih.gov/pubmed/30064467
http://dx.doi.org/10.1186/s13059-018-1480-7
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author Seward, Emily A.
Kelly, Steven
author_facet Seward, Emily A.
Kelly, Steven
author_sort Seward, Emily A.
collection PubMed
description BACKGROUND: Most amino acids are encoded by multiple synonymous codons. However, synonymous codons are not used equally, and this biased codon use varies between different organisms. It has previously been shown that both selection acting to increase codon translational efficiency and selection acting to decrease codon biosynthetic cost contribute to differences in codon bias. However, it is unknown how these two factors interact or how they affect molecular sequence evolution. RESULTS: Through analysis of 1320 bacterial genomes, we show that bacterial genes are subject to multi-objective selection-driven optimization of codon use. Here, selection acts to simultaneously decrease transcript biosynthetic cost and increase transcript translational efficiency, with highly expressed genes under the greatest selection. This optimization is not simply a consequence of the more translationally efficient codons being less expensive to synthesize. Instead, we show that transfer RNA gene copy number alters the cost-efficiency trade-off of synonymous codons such that, for many species, selection acting on transcript biosynthetic cost and translational efficiency act in opposition. Finally, we show that genes highly optimized to reduce cost and increase efficiency show reduced rates of synonymous and non-synonymous mutation. CONCLUSIONS: This analysis provides a simple mechanistic explanation for variation in evolutionary rate between genes that depends on selection-driven cost-efficiency optimization of the transcript. These findings reveal how optimization of resource allocation to messenger RNA synthesis is a critical factor that determines both the evolution and composition of genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1480-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-60669322018-08-02 Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria Seward, Emily A. Kelly, Steven Genome Biol Research BACKGROUND: Most amino acids are encoded by multiple synonymous codons. However, synonymous codons are not used equally, and this biased codon use varies between different organisms. It has previously been shown that both selection acting to increase codon translational efficiency and selection acting to decrease codon biosynthetic cost contribute to differences in codon bias. However, it is unknown how these two factors interact or how they affect molecular sequence evolution. RESULTS: Through analysis of 1320 bacterial genomes, we show that bacterial genes are subject to multi-objective selection-driven optimization of codon use. Here, selection acts to simultaneously decrease transcript biosynthetic cost and increase transcript translational efficiency, with highly expressed genes under the greatest selection. This optimization is not simply a consequence of the more translationally efficient codons being less expensive to synthesize. Instead, we show that transfer RNA gene copy number alters the cost-efficiency trade-off of synonymous codons such that, for many species, selection acting on transcript biosynthetic cost and translational efficiency act in opposition. Finally, we show that genes highly optimized to reduce cost and increase efficiency show reduced rates of synonymous and non-synonymous mutation. CONCLUSIONS: This analysis provides a simple mechanistic explanation for variation in evolutionary rate between genes that depends on selection-driven cost-efficiency optimization of the transcript. These findings reveal how optimization of resource allocation to messenger RNA synthesis is a critical factor that determines both the evolution and composition of genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1480-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-31 /pmc/articles/PMC6066932/ /pubmed/30064467 http://dx.doi.org/10.1186/s13059-018-1480-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Seward, Emily A.
Kelly, Steven
Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria
title Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria
title_full Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria
title_fullStr Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria
title_full_unstemmed Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria
title_short Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria
title_sort selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6066932/
https://www.ncbi.nlm.nih.gov/pubmed/30064467
http://dx.doi.org/10.1186/s13059-018-1480-7
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