Variation in global codon usage bias among prokaryotic organisms is associated with their lifestyles.
BACKGROUND
It is widely acknowledged that synonymous codons are used unevenly among genes in a genome. In organisms under translational selection, genes encoding highly expressed proteins are enriched with specific codons. This phenomenon, termed codon usage bias, is common to many organisms and has been recognized as influencing cellular fitness. This suggests that the global extent of codon usage bias of an organism might be associated with its phenotypic traits.


RESULTS
To test this hypothesis we used a simple measure for assessing the extent of codon bias of an organism, and applied it to hundreds of sequenced prokaryotes. Our analysis revealed a large variability in this measure: there are organisms showing very high degrees of codon usage bias and organisms exhibiting almost no differential use of synonymous codons among different genes. Remarkably, we found that the extent of codon usage bias corresponds to the lifestyle of the organism. Especially, organisms able to live in a wide range of habitats exhibit high extents of codon usage bias, consistent with their need to adapt efficiently to different environments. Pathogenic prokaryotes also demonstrate higher extents of codon usage bias than non-pathogenic prokaryotes, in accord with the multiple environments that many pathogens occupy. Our results show that the previously observed correlation between growth rate and metabolic variability is attributed to their individual associations with codon usage bias.


CONCLUSIONS
Our results suggest that the extent of codon usage bias of an organism plays a role in the adaptation of prokaryotes to their environments.
Department of Microbiology and Molecular Genetics, Institute of Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, POB 12272, Jerusalem 91120, Israel.
Maya
M
Botzman
Hanah
H
Margalit
D000220:Adaptation, Biological; D001105:Archaea / Q000145:classification / Q000235:genetics* / Q000254:growth & development / Q000378:metabolism; D001419:Bacteria / Q000145:classification / Q000235:genetics* / Q000254:growth & development / Q000378:metabolism; D001482:Base Composition; D003062:Codon; D019295:Computational Biology; D030541:Databases, Genetic; D017753:Ecosystem; D019143:Evolution, Molecular; D020745:Genome, Archaeal; D016680:Genome, Bacterial; D008957:Models, Genetic; D010641:Phenotype; D010802:Phylogeny
D003062:Codon