Literature DB >> 17095544

The frequency of translational misreading errors in E. coli is largely determined by tRNA competition.

Emily B Kramer1, Philip J Farabaugh.   

Abstract

Estimates of missense error rates (misreading) during protein synthesis vary from 10(-3) to 10(-4) per codon. The experiments reporting these rates have measured several distinct errors using several methods and reporter systems. Variation in reported rates may reflect real differences in rates among the errors tested or in sensitivity of the reporter systems. To develop a more accurate understanding of the range of error rates, we developed a system to quantify the frequency of every possible misreading error at a defined codon in Escherichia coli. This system uses an essential lysine in the active site of firefly luciferase. Mutations in Lys529 result in up to a 1600-fold reduction in activity, but the phenotype varies with amino acid. We hypothesized that residual activity of some of the mutant genes might result from misreading of the mutant codons by tRNA(Lys) (UUUU), the cognate tRNA for the lysine codons, AAA and AAG. Our data validate this hypothesis and reveal details about relative missense error rates of near-cognate codons. The error rates in E. coli do, in fact, vary widely. One source of variation is the effect of competition by cognate tRNAs for the mutant codons; higher error frequencies result from lower competition from low-abundance tRNAs. We also used the system to study the effect of ribosomal protein mutations known to affect error rates and the effect of error-inducing antibiotics, finding that they affect misreading on only a subset of near-cognate codons and that their effect may be less general than previously thought.

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Year:  2006        PMID: 17095544      PMCID: PMC1705757          DOI: 10.1261/rna.294907

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  52 in total

1.  Lysine 2,3-aminomutase from Clostridium subterminale SB4: mass spectral characterization of cyanogen bromide-treated peptides and cloning, sequencing, and expression of the gene kamA in Escherichia coli.

Authors:  F J Ruzicka; K W Lieder; P A Frey
Journal:  J Bacteriol       Date:  2000-01       Impact factor: 3.490

2.  Functional insights from the structure of the 30S ribosomal subunit and its interactions with antibiotics.

Authors:  A P Carter; W M Clemons; D E Brodersen; R J Morgan-Warren; B T Wimberly; V Ramakrishnan
Journal:  Nature       Date:  2000-09-21       Impact factor: 49.962

Review 3.  Ribosome fidelity: tRNA discrimination, proofreading and induced fit.

Authors:  M V Rodnina; W Wintermeyer
Journal:  Trends Biochem Sci       Date:  2001-02       Impact factor: 13.807

4.  The role of lysine 529, a conserved residue of the acyl-adenylate-forming enzyme superfamily, in firefly luciferase.

Authors:  B R Branchini; M H Murtiashaw; R A Magyar; S M Anderson
Journal:  Biochemistry       Date:  2000-05-09       Impact factor: 3.162

5.  Mistranslation of the mRNA encoding bacteriophage T7 0.3 protein.

Authors:  J B Rice; R T Libby; J N Reeve
Journal:  J Biol Chem       Date:  1984-05-25       Impact factor: 5.157

6.  Control of basal-level codon misreading in Escherichia coli.

Authors:  J Parker; G Holtz
Journal:  Biochem Biophys Res Commun       Date:  1984-06-15       Impact factor: 3.575

7.  An estimate of the global error frequency in translation.

Authors:  N Ellis; J Gallant
Journal:  Mol Gen Genet       Date:  1982

8.  Codon usage and mistranslation. In vivo basal level misreading of the MS2 coat protein message.

Authors:  J Parker; T C Johnston; P T Borgia; G Holtz; E Remaut; W Fiers
Journal:  J Biol Chem       Date:  1983-08-25       Impact factor: 5.157

9.  A novel mutation in ribosomal protein S4 that affects the function of a mutated RF1.

Authors:  A Dahlgren; M Rydén-Aulin
Journal:  Biochimie       Date:  2000-08       Impact factor: 4.079

10.  Codon-specific missense errors in vivo.

Authors:  F Bouadloun; D Donner; C G Kurland
Journal:  EMBO J       Date:  1983       Impact factor: 11.598

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  227 in total

1.  Can Protein Expression Be Regulated by Modulation of tRNA Modification Profiles?

Authors:  Leticia Pollo-Oliveira; Valérie de Crécy-Lagard
Journal:  Biochemistry       Date:  2018-12-18       Impact factor: 3.162

2.  Unassigned codons, nonsense suppression, and anticodon modifications in the evolution of the genetic code.

Authors:  Peter T S van der Gulik; Wouter D Hoff
Journal:  J Mol Evol       Date:  2011-11-11       Impact factor: 2.395

3.  Genetic code translation displays a linear trade-off between efficiency and accuracy of tRNA selection.

Authors:  Magnus Johansson; Jingji Zhang; Måns Ehrenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-21       Impact factor: 11.205

4.  The evolution of multimeric protein assemblages.

Authors:  Michael Lynch
Journal:  Mol Biol Evol       Date:  2011-12-05       Impact factor: 16.240

Review 5.  Evolutionary optimization of speed and accuracy of decoding on the ribosome.

Authors:  Ingo Wohlgemuth; Corinna Pohl; Joerg Mittelstaet; Andrey L Konevega; Marina V Rodnina
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-10-27       Impact factor: 6.237

Review 6.  tRNA biology charges to the front.

Authors:  Eric M Phizicky; Anita K Hopper
Journal:  Genes Dev       Date:  2010-09-01       Impact factor: 11.361

7.  Optimization of speed and accuracy of decoding in translation.

Authors:  Ingo Wohlgemuth; Corinna Pohl; Marina V Rodnina
Journal:  EMBO J       Date:  2010-09-14       Impact factor: 11.598

8.  Kinetic basis for global loss of fidelity arising from mismatches in the P-site codon:anticodon helix.

Authors:  Hani S Zaher; Rachel Green
Journal:  RNA       Date:  2010-08-19       Impact factor: 4.942

9.  Missense suppressor mutations in 16S rRNA reveal the importance of helices h8 and h14 in aminoacyl-tRNA selection.

Authors:  Sean P McClory; Joshua M Leisring; Daoming Qin; Kurt Fredrick
Journal:  RNA       Date:  2010-08-10       Impact factor: 4.942

Review 10.  Fidelity at the molecular level: lessons from protein synthesis.

Authors:  Hani S Zaher; Rachel Green
Journal:  Cell       Date:  2009-02-20       Impact factor: 41.582

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