Literature DB >> 17897886

Ribosome kinetics and aa-tRNA competition determine rate and fidelity of peptide synthesis.

Aaron Fluitt1, Elsje Pienaar, Hendrik Viljoen.   

Abstract

It is generally accepted that the translation rate depends on the availability of cognate aa-tRNAs. In this study it is shown that the key factor that determines translation rate is the competition between near-cognate and cognate aa-tRNAs. The transport mechanism in the cytoplasm is diffusion, thus the competition between cognate, near-cognate and non-cognate aa-tRNAs to bind to the ribosome is a stochastic process. Two competition measures are introduced; C(i) and R(i) (i=1, 64) are quotients of the arrival frequencies of near-cognates vs. cognates and non-cognates vs. cognates, respectively. Furthermore, the reaction rates of bound cognates differ from those of bound near-cognates. If a near-cognate aa-tRNA binds to the A site of the ribosome, it may be rejected at the anti-codon recognition step or proofreading step or it may be accepted. Regardless of its fate, the near-cognates and non-cognates have caused delays of varying duration to the observed rate of translation. Rate constants have been measured at a temperature of 20 degrees C by (Gromadski, K.B., Rodnina, M.V., 2004. Kinetic determinants of high-fidelity tRNA discrimination on the ribosome. Mol. Cell 13, 191-200). These rate constants have been re-evaluated at 37 degrees C, using experimental data at 24.5 degrees C and 37 degrees C (Varenne, S., et al., 1984. Translation in a non-uniform process: effect of tRNA availability on the rate of elongation of nascent polypeptide chains. J. Mol. Biol. 180, 549-576). The key results of the study are: (i) the average time (at 37 degrees C) to add an amino acid, as defined by the ith codon, to the nascent peptide chain is: tau(i)=9.06+1.445x[10.48C(i)+0.5R(i)] (in ms); (ii) the misreading frequency is directly proportional to the near-cognate competition, E(i)=0.0009C(i); (iii) the competition from near-cognates, and not the availability of cognate aa-tRNAs, is the most important factor that determines the translation rate - the four codons with highest near-cognate competition (in the case of E. coli) are [GCC]>[CGG]>[AGG]>[GGA], which overlap only partially with the rarest codons: [AGG]<[CCA]<[GCC]<[CAC]; (iv) based on the kinetic rates at 37 degrees C, the average time to insert a cognate amino acid is 9.06ms and the average delay to process a near-cognate aa-tRNA is 10.45ms and (vii) the model also provides estimates of the vacancy times of the A site of the ribosome - an important factor in frameshifting.

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Year:  2007        PMID: 17897886      PMCID: PMC2727733          DOI: 10.1016/j.compbiolchem.2007.07.003

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  20 in total

1.  Effects of tRNA(1Leu) overproduction in Escherichia coli.

Authors:  S Z Wahab; K O Rowley; W M Holmes
Journal:  Mol Microbiol       Date:  1993-01       Impact factor: 3.501

2.  Effects of consecutive AGG codons on translation in Escherichia coli, demonstrated with a versatile codon test system.

Authors:  A H Rosenberg; E Goldman; J J Dunn; F W Studier; G Zubay
Journal:  J Bacteriol       Date:  1993-02       Impact factor: 3.490

3.  Codon usage determines translation rate in Escherichia coli.

Authors:  M A Sørensen; C G Kurland; S Pedersen
Journal:  J Mol Biol       Date:  1989-05-20       Impact factor: 5.469

4.  Alternative to the steady-state method: derivation of reaction rates from first-passage times and pathway probabilities.

Authors:  J Ninio
Journal:  Proc Natl Acad Sci U S A       Date:  1987-02       Impact factor: 11.205

5.  Translation rates of individual codons are not correlated with tRNA abundances or with frequencies of utilization in Escherichia coli.

Authors:  F Bonekamp; H Dalbøge; T Christensen; K F Jensen
Journal:  J Bacteriol       Date:  1989-11       Impact factor: 3.490

6.  Co-variation of tRNA abundance and codon usage in Escherichia coli at different growth rates.

Authors:  H Dong; L Nilsson; C G Kurland
Journal:  J Mol Biol       Date:  1996-08-02       Impact factor: 5.469

7.  Ribosome-mediated translational pause and protein domain organization.

Authors:  T A Thanaraj; P Argos
Journal:  Protein Sci       Date:  1996-08       Impact factor: 6.725

8.  Increased ribosomal accuracy increases a programmed translational frameshift in Escherichia coli.

Authors:  J Sipley; E Goldman
Journal:  Proc Natl Acad Sci U S A       Date:  1993-03-15       Impact factor: 11.205

9.  Evidence for use of rare codons in the dnaG gene and other regulatory genes of Escherichia coli.

Authors:  W Konigsberg; G N Godson
Journal:  Proc Natl Acad Sci U S A       Date:  1983-02       Impact factor: 11.205

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Authors:  S W Koontz; H Jakubowski; E Goldman
Journal:  J Mol Biol       Date:  1983-08-25       Impact factor: 5.469

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  62 in total

1.  The tri-frame model.

Authors:  Elsje Pienaar; Hendrik J Viljoen
Journal:  J Theor Biol       Date:  2007-12-14       Impact factor: 2.691

2.  Translation elongation can control translation initiation on eukaryotic mRNAs.

Authors:  Dominique Chu; Eleanna Kazana; Noémie Bellanger; Tarun Singh; Mick F Tuite; Tobias von der Haar
Journal:  EMBO J       Date:  2013-12-19       Impact factor: 11.598

3.  Analysis of Translation Elongation Dynamics in the Context of an Escherichia coli Cell.

Authors:  Joana Pinto Vieira; Julien Racle; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2016-05-10       Impact factor: 4.033

4.  Modelling and measuring intracellular competition for finite resources during gene expression.

Authors:  Renana Sabi; Tamir Tuller
Journal:  J R Soc Interface       Date:  2019-05-31       Impact factor: 4.118

Review 5.  The stop-and-go traffic regulating protein biogenesis: How translation kinetics controls proteostasis.

Authors:  Kevin C Stein; Judith Frydman
Journal:  J Biol Chem       Date:  2018-11-30       Impact factor: 5.157

6.  Electrostatic Interactions Govern Extreme Nascent Protein Ejection Times from Ribosomes and Can Delay Ribosome Recycling.

Authors:  Daniel A Nissley; Quyen V Vu; Fabio Trovato; Nabeel Ahmed; Yang Jiang; Mai Suan Li; Edward P O'Brien
Journal:  J Am Chem Soc       Date:  2020-03-23       Impact factor: 15.419

Review 7.  Genome stability versus transcript diversity.

Authors:  Brian Magnuson; Karan Bedi; Mats Ljungman
Journal:  DNA Repair (Amst)       Date:  2016-05-16

Review 8.  Synonymous codons, ribosome speed, and eukaryotic gene expression regulation.

Authors:  Daniel Tarrant; Tobias von der Haar
Journal:  Cell Mol Life Sci       Date:  2014-07-20       Impact factor: 9.261

9.  A comprehensive, quantitative, and genome-wide model of translation.

Authors:  Marlena Siwiak; Piotr Zielenkiewicz
Journal:  PLoS Comput Biol       Date:  2010-07-29       Impact factor: 4.475

10.  FSscan: a mechanism-based program to identify +1 ribosomal frameshift hotspots.

Authors:  Pei-Yu Liao; Yong Seok Choi; Kelvin H Lee
Journal:  Nucleic Acids Res       Date:  2009-11       Impact factor: 16.971

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