Literature DB >> 11809879

Conserved economics of transcription termination in eubacteria.

Shyam Unniraman1, Ranjana Prakash, Valakunja Nagaraja.   

Abstract

A secondary structure in the nascent RNA followed by a trail of U residues is believed to be necessary and sufficient to terminate transcription. Such structures represent an extremely economical mechanism of transcription termination since they function in the absence of any additional protein factors. We have developed a new algorithm, GeSTer, to identify putative terminators and analysed all available complete bacterial genomes. The algorithm classifies the structures into five classes. We find that potential secondary structure sequences are concentrated downstream of coding regions in most bacterial genomes. Interestingly, many of these structures are not followed by a discernible U-trail. However, irrespective of the nature of the trail sequence, the structures show a similar distribution, indicating that they serve the same purpose. In contrast, such a distribution is absent in archaeal genomes, indicating that they employ a distinct mechanism for transcription termination. The present algorithm represents the fastest and most accurate algorithm for identifying terminators in eubacterial genomes without being restricted by the classical Escherichia coli paradigm.

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Year:  2002        PMID: 11809879      PMCID: PMC100295          DOI: 10.1093/nar/30.3.675

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  30 in total

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Authors:  I Gusarov; E Nudler
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2.  Alternate paradigm for intrinsic transcription termination in eubacteria.

Authors:  S Unniraman; R Prakash; V Nagaraja
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5.  DNA-RNA hybrid duplexes containing oligo(dA:rU) sequences are exceptionally unstable and may facilitate termination of transcription.

Authors:  F H Martin; I Tinoco
Journal:  Nucleic Acids Res       Date:  1980-05-24       Impact factor: 16.971

6.  Mechanism of intrinsic transcription termination and antitermination.

Authors:  W S Yarnell; J W Roberts
Journal:  Science       Date:  1999-04-23       Impact factor: 47.728

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

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Authors:  P H von Hippel
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Authors:  I Artsimovitch; R Landick
Journal:  Genes Dev       Date:  1998-10-01       Impact factor: 11.361

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  37 in total

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5.  Characterization of 582 natural and synthetic terminators and quantification of their design constraints.

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7.  Genome-wide operon prediction in Staphylococcus aureus.

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9.  Reconstructing genome trees of prokaryotes using overlapping genes.

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10.  A novel antisense RNA regulates at transcriptional level the virulence gene icsA of Shigella flexneri.

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Journal:  Nucleic Acids Res       Date:  2010-02-03       Impact factor: 16.971

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