Effect of Correlated tRNA abundances on translation errors and evolution of codon usage bias

Premal Shah, Michael A. Gilchrist

Research output: Contribution to journalArticlepeer-review

60 Scopus citations


Despite the fact that tRNA abundances are thought to play a major role in determining translation error rates, their distribution across the genetic code and the resulting implications have received little attention. In general, studies of codon usage bias (CUB) assume that codons with higher tRNA abundance have lower missense error rates. Using a model of protein translation based on tRNA competition and intra-ribosomal kinetics, we show that this assumption can be violated when tRNA abundances are positively correlated across the genetic code. Examining the distribution of tRNA abundances across 73 bacterial genomes from 20 different genera, we find a consistent positive correlation between tRNA abundances across the genetic code. This work challenges one of the fundamental assumptions made in over 30 years of research on CUB that codons with higher tRNA abundances have lower missense error rates and that missense errors are the primary selective force responsible for CUB.

Original languageEnglish (US)
Article numbere1001128
JournalPLoS genetics
Issue number9
StatePublished - Sep 2010
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Molecular Biology
  • Genetics
  • Genetics(clinical)
  • Cancer Research

Fingerprint Dive into the research topics of 'Effect of Correlated tRNA abundances on translation errors and evolution of codon usage bias'. Together they form a unique fingerprint.

Cite this