Condition-dependent transcriptome reveals high-level regulatory architecture in Bacillus subtilis

Abstract:

Bacteria adapt to environmental stimuli by adjusting their transcriptomes in a complex manner, the full potential of which has yet to be established for any individual bacterial species. Here, we report the transcriptomes of Bacillus subtilis exposed to a wide range of environmental and nutritional conditions that the organism might encounter in nature. We comprehensively mapped transcription units (TUs) and grouped 2935 promoters into regulons controlled by various RNA polymerase sigma factors, accounting for ~66% of the observed variance in transcriptional activity. This global classification of promoters and detailed description of TUs revealed that a large proportion of the detected antisense RNAs arose from potentially spurious transcription initiation by alternative sigma factors and from imperfect control of transcription termination.

SEEK ID: https://fairdomhub.org/publications/148

PubMed ID: 22383849

Projects: BaCell-SysMO

Publication type: Not specified

Journal: Science

Citation:

Date Published: 3rd Mar 2012

Registered Mode: Not specified

Authors: Pierre Nicolas, , Etienne Dervyn, Tatiana Rochat, Aurélie Leduc, Nathalie Pigeonneau, Elena Bidnenko, Elodie Marchadier, Mark Hoebeke, Stéphane Aymerich, Dörte Becher, Paola Bisicchia, Eric Botella, Olivier Delumeau, Geoff Doherty, Emma L Denham, Mark J Fogg, Vincent Fromion, Anne Goelzer, Annette Hansen, Elisabeth Härtig, , Georg Homuth, Hanne Jarmer, Matthieu Jules, Edda Klipp, Ludovic Le Chat, François Lecointe, , Wolfram Liebermeister, Anika March, , , David Noone, Susanne Pohl, Bernd Rinn, Frank Rügheimer, , Franck Samson, Marc Schaffer, Benno Schwikowski, , , Thomas Wiegert, Kevin M Devine, Anthony J Wilkinson, , , , Philippe Bessières, Philippe Noirot

help Submitter
Activity

Views: 6284

Created: 30th Apr 2012 at 12:21

Last updated: 30th Apr 2012 at 12:21

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
(v.1.12.1)
Copyright © 2008 - 2022 The University of Manchester and HITS gGmbH

By continuing to use this site you agree to the use of cookies