Literature DB >> 12887898

Control of rRNA expression by small molecules is dynamic and nonredundant.

Heath D Murray1, David A Schneider, Richard L Gourse.   

Abstract

The control of ribosomal RNA transcription is one of the most enduring issues in molecular microbiology, having been subjected to intense scrutiny for over 50 years. Rapid changes in rRNA expression occur during transitions in the bacterial growth cycle and following nutritional shifts during exponential growth. Genetic approaches and measurements of initiating nucleoside triphosphate (iNTP) and guanosine 5'-diphosphate, 3'-diphosphate (ppGpp) concentrations and of rRNA promoter activities showed that rapid changes in the concentrations of iNTPs and ppGpp account for the rapid changes in rRNA expression. The two regulatory signals are nonredundant: changes in iNTP concentration dominate regulation during outgrowth from stationary phase, whereas changes in ppGpp concentration are responsible for regulation following upshifts and downshifts during exponential phase. The results suggest a molecular logic for the use of two homeostatic regulatory mechanisms to monitor different aspects of ribosome activity and provide general insights into the nature of overlapping regulatory circuits.

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Year:  2003        PMID: 12887898     DOI: 10.1016/s1097-2765(03)00266-1

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  99 in total

Review 1.  ppGpp: magic beyond RNA polymerase.

Authors:  Zachary D Dalebroux; Michele S Swanson
Journal:  Nat Rev Microbiol       Date:  2012-02-16       Impact factor: 60.633

2.  RpoS proteolysis is controlled directly by ATP levels in Escherichia coli.

Authors:  Celeste N Peterson; Igor Levchenko; Joshua D Rabinowitz; Tania A Baker; Thomas J Silhavy
Journal:  Genes Dev       Date:  2012-03-15       Impact factor: 11.361

Review 3.  Control of rRNA synthesis in Escherichia coli: a systems biology approach.

Authors:  Patrick P Dennis; Mans Ehrenberg; Hans Bremer
Journal:  Microbiol Mol Biol Rev       Date:  2004-12       Impact factor: 11.056

4.  DksA is required for growth phase-dependent regulation, growth rate-dependent control, and stringent control of fis expression in Escherichia coli.

Authors:  Prabhat Mallik; Brian J Paul; Steven T Rutherford; Richard L Gourse; Robert Osuna
Journal:  J Bacteriol       Date:  2006-08       Impact factor: 3.490

5.  Conservation of the metabolomic response to starvation across two divergent microbes.

Authors:  Matthew J Brauer; Jie Yuan; Bryson D Bennett; Wenyun Lu; Elizabeth Kimball; David Botstein; Joshua D Rabinowitz
Journal:  Proc Natl Acad Sci U S A       Date:  2006-12-11       Impact factor: 11.205

6.  Effects of DksA, GreA, and GreB on transcription initiation: insights into the mechanisms of factors that bind in the secondary channel of RNA polymerase.

Authors:  Steven T Rutherford; Justin J Lemke; Catherine E Vrentas; Tamas Gaal; Wilma Ross; Richard L Gourse
Journal:  J Mol Biol       Date:  2006-12-12       Impact factor: 5.469

7.  The nucleotide-binding site of bacterial translation initiation factor 2 (IF2) as a metabolic sensor.

Authors:  Pohl Milon; Eugene Tischenko; Jerneja Tomsic; Enrico Caserta; Gert Folkers; Anna La Teana; Marina V Rodnina; Cynthia L Pon; Rolf Boelens; Claudio O Gualerzi
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-12       Impact factor: 11.205

8.  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

9.  New insights into the regulatory mechanisms of ppGpp and DksA on Escherichia coli RNA polymerase-promoter complex.

Authors:  Nicola Doniselli; Piere Rodriguez-Aliaga; Davide Amidani; Jorge A Bardales; Carlos Bustamante; Daniel G Guerra; Claudio Rivetti
Journal:  Nucleic Acids Res       Date:  2015-04-27       Impact factor: 16.971

Review 10.  Analysis of RNA polymerase-promoter complex formation.

Authors:  Wilma Ross; Richard L Gourse
Journal:  Methods       Date:  2008-10-24       Impact factor: 3.608

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