Abstract

BackgroundSynonymous codon usage bias has typically been correlated with, and attributed to translational efficiency. However, there are other pressures on genomic sequence composition that can affect codon usage patterns such as mutational biases. This study provides an analysis of the codon usage patterns in Arabidopsis thaliana in relation to gene expression levels, codon volatility, mutational biases and selective pressures.ResultsWe have performed synonymous codon usage and codon volatility analyses for all genes in the A. thaliana genome. In contrast to reports for species from other kingdoms, we find that neither codon usage nor volatility are correlated with selection pressure (as measured by dN/dS), nor with gene expression levels on a genome wide level. Our results show that codon volatility and usage are not synonymous, rather that they are correlated with the abundance of G and C at the third codon position (GC3).ConclusionsOur results indicate that while the A. thaliana genome shows evidence for synonymous codon usage bias, this is not related to the expression levels of its constituent genes. Neither codon volatility nor codon usage are correlated with expression levels or selective pressures but, because they are directly related to the composition of G and C at the third codon position, they are the result of mutational bias. Therefore, in A. thaliana codon volatility and usage do not result from selection for translation efficiency or protein functional shift as measured by positive selection.

Highlights

  • Synonymous codon usage bias has typically been correlated with, and attributed to translational efficiency

  • Codon volatility analyses of A. thaliana genes To determine the codon volatility scores for all genes in the A. thaliana genome, all of the protein coding sequences in the Arabidopsis genome (29,157 protein coding genes from The Arabidopsis Information Resource (TAIR)) were used to calculate P-values representing the degree of codon volatility for each gene

  • If the codon volatility method can identify genes under positive selection in the Arabidopsis thaliana genome, codon volatility scores for each gene should be positively correlated with Nonsynonymous substitutions per nonsynonymous site (dN)/Synonymous substitutions per synonymous site (dS) values greater than 1 across all genes in the genome

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Summary

Introduction

Synonymous codon usage bias has typically been correlated with, and attributed to translational efficiency. There are other pressures on genomic sequence composition that can affect codon usage patterns such as mutational biases. This study provides an analysis of the codon usage patterns in Arabidopsis thaliana in relation to gene expression levels, codon volatility, mutational biases and selective pressures. The relative rate ratio test of non-synonymous to synonymous substitutions (dN/dS) can provide a measure of the type of selection operating on a particular gene [3]. Such dN/dS metrics can be used to identify selective pressure variation (on gene families) within sequenced genes or genomes. All dN/dS-based comparative approaches require extensive sequence data for the genes under scrutiny, ideally from a range of individuals across multiple species

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