Literature DB >> 19017803

Stochasticity and traffic jams in the transcription of ribosomal RNA: Intriguing role of termination and antitermination.

Stefan Klumpp1, Terence Hwa.   

Abstract

In fast-growing bacteria, ribosomal RNA (rRNA) is required to be transcribed at very high rates to sustain the high cellular demand on ribosome synthesis. This results in dense traffic of RNA polymerases (RNAP). We developed a stochastic model, integrating results of single-molecule and quantitative in vivo studies of Escherichia coli, to evaluate the quantitative effect of pausing, termination, and antitermination (AT) on rRNA transcription. Our calculations reveal that in dense RNAP traffic, spontaneous pausing of RNAP can lead to severe "traffic jams," as manifested in the broad distribution of inter-RNAP distances and can be a major factor limiting transcription and hence growth. Our results suggest the suppression of these pauses by the ribosomal AT complex to be essential at fast growth. Moreover, unsuppressed pausing by even a few nonantiterminated RNAPs can already reduce transcription drastically under dense traffic. However, the termination factor Rho can remove the nonantiterminated RNAPs and restore fast transcription. The results thus suggest an intriguing role by Rho to enhance rather than attenuate rRNA transcription.

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Year:  2008        PMID: 19017803      PMCID: PMC2587539          DOI: 10.1073/pnas.0806084105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  40 in total

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Journal:  Mol Microbiol       Date:  1999-06       Impact factor: 3.501

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Journal:  FASEB J       Date:  2006-07-03       Impact factor: 5.191

Review 4.  The regulatory roles and mechanism of transcriptional pausing.

Authors:  R Landick
Journal:  Biochem Soc Trans       Date:  2006-12       Impact factor: 5.407

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Journal:  J Bacteriol       Date:  1986-10       Impact factor: 3.490

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Journal:  J Mol Biol       Date:  1997-01-31       Impact factor: 5.469

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Journal:  J Mol Biol       Date:  1990-05-05       Impact factor: 5.469

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Journal:  J Biol Chem       Date:  1981-03-25       Impact factor: 5.157

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Journal:  J Biol Chem       Date:  1992-09-25       Impact factor: 5.157

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  45 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-05       Impact factor: 11.205

Review 4.  Bacterial Transcription as a Target for Antibacterial Drug Development.

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Journal:  Microbiol Mol Biol Rev       Date:  2016-01-13       Impact factor: 11.056

5.  Transient Protein-RNA Interactions Guide Nascent Ribosomal RNA Folding.

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Review 6.  Systems biophysics of gene expression.

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Journal:  Biophys J       Date:  2013-06-18       Impact factor: 4.033

Review 7.  Ubiquitous transcription factors display structural plasticity and diverse functions: NusG proteins - Shifting shapes and paradigms.

Authors:  Monali NandyMazumdar; Irina Artsimovitch
Journal:  Bioessays       Date:  2015-01-15       Impact factor: 4.345

8.  Statistical mechanical model of coupled transcription from multiple promoters due to transcription factor titration.

Authors:  Mattias Rydenfelt; Robert Sidney Cox; Hernan Garcia; Rob Phillips
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-01-06

9.  Stochastic Kinetics of Nascent RNA.

Authors:  Heng Xu; Samuel O Skinner; Anna Marie Sokac; Ido Golding
Journal:  Phys Rev Lett       Date:  2016-09-13       Impact factor: 9.161

10.  Growth-rate-dependent partitioning of RNA polymerases in bacteria.

Authors:  Stefan Klumpp; Terence Hwa
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-10       Impact factor: 11.205

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