Literature DB >> 24411237

Thermodynamic modeling of variations in the rate of RNA chain elongation of E. coli rrn operons.

David Fange1, Harriet Mellenius1, Patrick P Dennis2, Måns Ehrenberg3.   

Abstract

Previous electron-microscopic imaging has shown high RNA polymerase occupation densities in the 16S and 23S encoding regions and low occupation densities in the noncoding leader, spacer, and trailer regions of the rRNA (rrn) operons in E. coli. This indicates slower transcript elongation within the coding regions and faster elongation within the noncoding regions of the operon. Inactivation of four of the seven rrn operons increases the transcript initiation frequency at the promoters of the three intact operons and reduces the time for RNA polymerase to traverse the operon. We have used the DNA sequence-dependent standard free energy variation of the transcription complex to model the experimentally observed changes in the elongation rate along the rrnB operon. We also model the stimulation of the average transcription rate over the whole operon by increasing rate of transcript initiation. Monte Carlo simulations, taking into account initiation of transcription, translocation, and backward and forward tracking of RNA polymerase, partially reproduce the observed transcript elongation rate variations along the rrn operon and fully account for the increased average rate in response to increased frequency of transcript initiation.
Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24411237      PMCID: PMC3907208          DOI: 10.1016/j.bpj.2013.11.4487

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  36 in total

1.  Antiterminator-dependent modulation of transcription elongation rates by NusB and NusG.

Authors:  M Zellars; C L Squires
Journal:  Mol Microbiol       Date:  1999-06       Impact factor: 3.501

2.  Transcript cleavage factors GreA and GreB act as transient catalytic components of RNA polymerase.

Authors:  Oleg Laptenko; Jookyung Lee; Ivan Lomakin; Sergei Borukhov
Journal:  EMBO J       Date:  2003-12-01       Impact factor: 11.598

Review 3.  Thinking quantitatively about transcriptional regulation.

Authors:  Sandra J Greive; Peter H von Hippel
Journal:  Nat Rev Mol Cell Biol       Date:  2005-03       Impact factor: 94.444

4.  Analysis of the complex transcription termination region of the Escherichia coli rrnB gene.

Authors:  A Orosz; I Boros; P Venetianer
Journal:  Eur J Biochem       Date:  1991-11-01

5.  Structural basis for transcription elongation by bacterial RNA polymerase.

Authors:  Dmitry G Vassylyev; Marina N Vassylyeva; Anna Perederina; Tahir H Tahirov; Irina Artsimovitch
Journal:  Nature       Date:  2007-06-20       Impact factor: 49.962

6.  Maximum rrn promoter activity in Escherichia coli at saturating concentrations of free RNA polymerase.

Authors:  M Ehrenberg; P P Dennis; H Bremer
Journal:  Biochimie       Date:  2009-10-14       Impact factor: 4.079

7.  Structural basis of transcription: mismatch-specific fidelity mechanisms and paused RNA polymerase II with frayed RNA.

Authors:  Jasmin F Sydow; Florian Brueckner; Alan C M Cheung; Gerke E Damsma; Stefan Dengl; Elisabeth Lehmann; Dmitry Vassylyev; Patrick Cramer
Journal:  Mol Cell       Date:  2009-06-26       Impact factor: 17.970

8.  A unified model of transcription elongation: what have we learned from single-molecule experiments?

Authors:  Vasisht R Tadigotla; Evgeny Nudler; Andrei E Ruckenstein
Journal:  Biophys J       Date:  2011-03-02       Impact factor: 4.033

9.  Transcriptional arrest: Escherichia coli RNA polymerase translocates backward, leaving the 3' end of the RNA intact and extruded.

Authors:  N Komissarova; M Kashlev
Journal:  Proc Natl Acad Sci U S A       Date:  1997-03-04       Impact factor: 11.205

Review 10.  Macromolecular micromovements: how RNA polymerase translocates.

Authors:  Vladimir Svetlov; Evgeny Nudler
Journal:  Curr Opin Struct Biol       Date:  2009-11-02       Impact factor: 6.809

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  2 in total

1.  Relationship between promoter sequence and its strength in gene expression.

Authors:  Jingwei Li; Yunxin Zhang
Journal:  Eur Phys J E Soft Matter       Date:  2014-09-30       Impact factor: 1.890

2.  Road rules for traffic on DNA-systematic analysis of transcriptional roadblocking in vivo.

Authors:  Nan Hao; Sandeep Krishna; Alexandra Ahlgren-Berg; Erin E Cutts; Keith E Shearwin; Ian B Dodd
Journal:  Nucleic Acids Res       Date:  2014-07-17       Impact factor: 16.971

  2 in total

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