The Selective Advantage of Synonymous Codon Usage Bias in Salmonella.

The genetic code in mRNA is redundant, with 61 sense codons translated into 20 different amino acids. Individual amino acids are encoded by up to six different codons but within codon families some are used more frequently than others. This phenomenon is referred to as synonymous codon usage bias. T...

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Main Authors: Gerrit Brandis, Diarmaid Hughes
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-03-01
Series:PLoS Genetics
Online Access:http://europepmc.org/articles/PMC4786093?pdf=render
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spelling doaj-302327c5f7bd469eacc4b8087c83da502020-11-24T21:41:38ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042016-03-01123e100592610.1371/journal.pgen.1005926The Selective Advantage of Synonymous Codon Usage Bias in Salmonella.Gerrit BrandisDiarmaid HughesThe genetic code in mRNA is redundant, with 61 sense codons translated into 20 different amino acids. Individual amino acids are encoded by up to six different codons but within codon families some are used more frequently than others. This phenomenon is referred to as synonymous codon usage bias. The genomes of free-living unicellular organisms such as bacteria have an extreme codon usage bias and the degree of bias differs between genes within the same genome. The strong positive correlation between codon usage bias and gene expression levels in many microorganisms is attributed to selection for translational efficiency. However, this putative selective advantage has never been measured in bacteria and theoretical estimates vary widely. By systematically exchanging optimal codons for synonymous codons in the tuf genes we quantified the selective advantage of biased codon usage in highly expressed genes to be in the range 0.2-4.2 x 10-4 per codon per generation. These data quantify for the first time the potential for selection on synonymous codon choice to drive genome-wide sequence evolution in bacteria, and in particular to optimize the sequences of highly expressed genes. This quantification may have predictive applications in the design of synthetic genes and for heterologous gene expression in biotechnology.http://europepmc.org/articles/PMC4786093?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Gerrit Brandis
Diarmaid Hughes
spellingShingle Gerrit Brandis
Diarmaid Hughes
The Selective Advantage of Synonymous Codon Usage Bias in Salmonella.
PLoS Genetics
author_facet Gerrit Brandis
Diarmaid Hughes
author_sort Gerrit Brandis
title The Selective Advantage of Synonymous Codon Usage Bias in Salmonella.
title_short The Selective Advantage of Synonymous Codon Usage Bias in Salmonella.
title_full The Selective Advantage of Synonymous Codon Usage Bias in Salmonella.
title_fullStr The Selective Advantage of Synonymous Codon Usage Bias in Salmonella.
title_full_unstemmed The Selective Advantage of Synonymous Codon Usage Bias in Salmonella.
title_sort selective advantage of synonymous codon usage bias in salmonella.
publisher Public Library of Science (PLoS)
series PLoS Genetics
issn 1553-7390
1553-7404
publishDate 2016-03-01
description The genetic code in mRNA is redundant, with 61 sense codons translated into 20 different amino acids. Individual amino acids are encoded by up to six different codons but within codon families some are used more frequently than others. This phenomenon is referred to as synonymous codon usage bias. The genomes of free-living unicellular organisms such as bacteria have an extreme codon usage bias and the degree of bias differs between genes within the same genome. The strong positive correlation between codon usage bias and gene expression levels in many microorganisms is attributed to selection for translational efficiency. However, this putative selective advantage has never been measured in bacteria and theoretical estimates vary widely. By systematically exchanging optimal codons for synonymous codons in the tuf genes we quantified the selective advantage of biased codon usage in highly expressed genes to be in the range 0.2-4.2 x 10-4 per codon per generation. These data quantify for the first time the potential for selection on synonymous codon choice to drive genome-wide sequence evolution in bacteria, and in particular to optimize the sequences of highly expressed genes. This quantification may have predictive applications in the design of synthetic genes and for heterologous gene expression in biotechnology.
url http://europepmc.org/articles/PMC4786093?pdf=render
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