Abstract

Prokaryote genomes exhibit a wide range of GC contents and codon usages, both resulting from an interaction between mutational bias and natural selection. In order to investigate the basis underlying specific codon changes, we performed a comprehensive analysis of 29 different prokaryote families. The analysis of core gene sets with increasing ancestries in each family lineage revealed that the codon usages became progressively more adapted to the tRNA pools. While, as previously reported, highly expressed genes presented the most optimized codon usage, the singletons contained the less selectively favored codons. The results showed that usually codons with the highest translational adaptation were preferentially enriched. In agreement with previous reports, a C bias in 2- to 3-fold pyrimidine-ending codons, and a U bias in 4-fold codons occurred in all families, irrespective of the global genomic GC content. Furthermore, the U biases suggested that U3-mRNA-U34-tRNA interactions were responsible for a prominent codon optimization in both the most ancestral core and the highly expressed genes. A comparative analysis of sequences that encode conserved (cr) or variable (vr) translated products, with each one being under high (HEP) and low (LEP) expression levels, demonstrated that the efficiency was more relevant (by a factor of 2) than accuracy to modeling codon usage. Finally, analysis of the third position of codons (GC3) revealed that in genomes with global GC contents higher than 35 to 40%, selection favored a GC3 increase, whereas in genomes with very low GC contents, a decrease in GC3 occurred. A comprehensive final model is presented in which all patterns of codon usage variations are condensed in four distinct behavioral groups.IMPORTANCE The prokaryotic genomes-the current heritage of the most ancient life forms on earth-are comprised of diverse gene sets, all characterized by varied origins, ancestries, and spatial-temporal expression patterns. Such genetic diversity has for a long time raised the question of how cells shape their coding strategies to optimize protein demands (i.e., product abundance) and accuracy (i.e., translation fidelity) through the use of the same genetic code in genomes with GC contents that range from less than 20 to more than 80%. Here, we present evidence on how codon usage is adjusted in the prokaryotic tree of life and on how specific biases have operated to improve translation. Through the use of proteome data, we characterized conserved and variable sequence domains in genes of either high or low expression level and quantitated the relative weight of efficiency and accuracy-as well as their interaction-in shaping codon usage in prokaryotes.

Highlights

  • Prokaryote genomes exhibit a wide range of GC contents and codon usages, both resulting from an interaction between mutational bias and natural selection

  • The first comprises the majority of the coding sequences that are associated with the so-called typical codon usage, while the second consists of the putative highly expressed (PHE) genes involving codon usages that are the best adapted to the translational machinery [20, 22,23,24,25,26]

  • The codon usage variation with gene ancestry within a given prokaryote family was evaluated through a correspondence analysis (CA) that used as variables the raw codon counts (RCC) of the individual genes in each genome analyzed

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Summary

Introduction

Prokaryote genomes exhibit a wide range of GC contents and codon usages, both resulting from an interaction between mutational bias and natural selection. Current evidence indicates that accessory genes involve atypical codon usages [21, 28, 46, 50] compared to the most conserved (ancestral) core genes in a given lineage The latter genes, for their part, exhibit adaptational variations in codon usages ranging from typical to more biased, as the one observed in genes that correspond to highly abundant proteins which are coded by PHE genes [51]. In the work reported here, after examining 29 different prokaryote families, we performed a consolidated analysis aimed at characterizing the specific intragenomic codon variations that lead to differences in codon usage between gene sets with diverse expression levels and degrees of conservation in a given lineage. The evaluation of intragenic regions with different coding characteristics— compared to strategies

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