Literature DB >> 12119387

Global analysis of mRNA decay and abundance in Escherichia coli at single-gene resolution using two-color fluorescent DNA microarrays.

Jonathan A Bernstein1, Arkady B Khodursky, Pei-Hsun Lin, Sue Lin-Chao, Stanley N Cohen.   

Abstract

Much of the information available about factors that affect mRNA decay in Escherichia coli, and by inference in other bacteria, has been gleaned from study of less than 25 of the approximately 4,300 predicted E. coli messages. To investigate these factors more broadly, we examined the half-lives and steady-state abundance of known and predicted E. coli mRNAs at single-gene resolution by using two-color fluorescent DNA microarrays. An rRNA-based strategy for normalization of microarray data was developed to permit quantitation of mRNA decay after transcriptional arrest by rifampicin. We found that globally, mRNA half-lives were similar in nutrient-rich media and defined media in which the generation time was approximately tripled. A wide range of stabilities was observed for individual mRNAs of E. coli, although approximately 80% of all mRNAs had half-lives between 3 and 8 min. Genes having biologically related metabolic functions were commonly observed to have similar stabilities. Whereas the half-lives of a limited number of mRNAs correlated positively with their abundance, we found that overall, increased mRNA stability is not predictive of increased abundance. Neither the density of putative sites of cleavage by RNase E, which is believed to initiate mRNA decay in E. coli, nor the free energy of folding of 5' or 3' untranslated region sequences was predictive of mRNA half-life. Our results identify previously unsuspected features of mRNA decay at a global level and also indicate that generalizations about decay derived from the study of individual gene transcripts may have limited applicability.

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Year:  2002        PMID: 12119387      PMCID: PMC124983          DOI: 10.1073/pnas.112318199

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


  57 in total

1.  An evolutionarily conserved RNA stem-loop functions as a sensor that directs feedback regulation of RNase E gene expression.

Authors:  A Diwa; A L Bricker; C Jain; J G Belasco
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2.  Primer3 on the WWW for general users and for biologist programmers.

Authors:  S Rozen; H Skaletsky
Journal:  Methods Mol Biol       Date:  2000

Review 3.  Emerging features of mRNA decay in bacteria.

Authors:  D A Steege
Journal:  RNA       Date:  2000-08       Impact factor: 4.942

4.  DNA microarray analysis of gene expression in response to physiological and genetic changes that affect tryptophan metabolism in Escherichia coli.

Authors:  A B Khodursky; B J Peter; N R Cozzarelli; D Botstein; P O Brown; C Yanofsky
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

5.  The transcriptional program in the response of human fibroblasts to serum.

Authors:  V R Iyer; M B Eisen; D T Ross; G Schuler; T Moore; J C Lee; J M Trent; L M Staudt; J Hudson; M S Boguski; D Lashkari; D Shalon; D Botstein; P O Brown
Journal:  Science       Date:  1999-01-01       Impact factor: 47.728

Review 6.  Degradation of mRNA in Escherichia coli: an old problem with some new twists.

Authors:  G A Coburn; G A Mackie
Journal:  Prog Nucleic Acid Res Mol Biol       Date:  1999

7.  Prediction of transcription terminators in bacterial genomes.

Authors:  M D Ermolaeva; H G Khalak; O White; H O Smith; S L Salzberg
Journal:  J Mol Biol       Date:  2000-08-04       Impact factor: 5.469

8.  Enhanced cleavage of RNA mediated by an interaction between substrates and the arginine-rich domain of E. coli ribonuclease E.

Authors:  V R Kaberdin; A P Walsh; T Jakobsen; K J McDowall; A von Gabain
Journal:  J Mol Biol       Date:  2000-08-11       Impact factor: 5.469

9.  Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization.

Authors:  P T Spellman; G Sherlock; M Q Zhang; V R Iyer; K Anders; M B Eisen; P O Brown; D Botstein; B Futcher
Journal:  Mol Biol Cell       Date:  1998-12       Impact factor: 4.138

10.  Polyadenylylation helps regulate mRNA decay in Escherichia coli.

Authors:  E B O'Hara; J A Chekanova; C A Ingle; Z R Kushner; E Peters; S R Kushner
Journal:  Proc Natl Acad Sci U S A       Date:  1995-03-14       Impact factor: 11.205

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  335 in total

Review 1.  Genome-wide responses of a pathogenic bacterium to its host.

Authors:  David A Relman
Journal:  J Clin Invest       Date:  2002-10       Impact factor: 14.808

2.  Global RNA half-life analysis in Escherichia coli reveals positional patterns of transcript degradation.

Authors:  Douglas W Selinger; Rini Mukherjee Saxena; Kevin J Cheung; George M Church; Carsten Rosenow
Journal:  Genome Res       Date:  2003-02       Impact factor: 9.043

3.  Decay rates of human mRNAs: correlation with functional characteristics and sequence attributes.

Authors:  Edward Yang; Erik van Nimwegen; Mihaela Zavolan; Nikolaus Rajewsky; Mark Schroeder; Marcelo Magnasco; James E Darnell
Journal:  Genome Res       Date:  2003-08       Impact factor: 9.043

4.  Microarray analysis of transposition targets in Escherichia coli: the impact of transcription.

Authors:  Dipankar Manna; Adam M Breier; N Patrick Higgins
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-21       Impact factor: 11.205

5.  Genome-wide analysis of mRNA stability using transcription inhibitors and microarrays reveals posttranscriptional control of ribosome biogenesis factors.

Authors:  Jörg Grigull; Sanie Mnaimneh; Jeffrey Pootoolal; Mark D Robinson; Timothy R Hughes
Journal:  Mol Cell Biol       Date:  2004-06       Impact factor: 4.272

6.  Topological domain structure of the Escherichia coli chromosome.

Authors:  Lisa Postow; Christine D Hardy; Javier Arsuaga; Nicholas R Cozzarelli
Journal:  Genes Dev       Date:  2004-07-15       Impact factor: 11.361

7.  Analysis of developing maize plastids reveals two mRNA stability classes correlating with RNA polymerase type.

Authors:  A Bruce Cahoon; Faith M Harris; David B Stern
Journal:  EMBO Rep       Date:  2004-07-16       Impact factor: 8.807

8.  Solving the riddle of codon usage preferences: a test for translational selection.

Authors:  Mario dos Reis; Renos Savva; Lorenz Wernisch
Journal:  Nucleic Acids Res       Date:  2004-09-24       Impact factor: 16.971

Review 9.  Genome-wide technology for determining RNA stability in mammalian cells: historical perspective and recent advantages based on modified nucleotide labeling.

Authors:  Hidenori Tani; Nobuyoshi Akimitsu
Journal:  RNA Biol       Date:  2012-10-01       Impact factor: 4.652

10.  Protein evolutionary rates correlate with expression independently of synonymous substitutions in Helicobacter pylori.

Authors:  Björn Sällström; Ramy A Arnaout; Wagied Davids; Pär Bjelkmar; Siv G E Andersson
Journal:  J Mol Evol       Date:  2006-04-01       Impact factor: 2.395

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