Condition-Dependent Transcriptome Reveals High-Level Regulatory Architecture in Bacillus subtilis

Author:

Nicolas Pierre1,Mäder Ulrike23,Dervyn Etienne4,Rochat Tatiana4,Leduc Aurélie1,Pigeonneau Nathalie4,Bidnenko Elena4,Marchadier Elodie4,Hoebeke Mark1,Aymerich Stéphane4,Becher Dörte2,Bisicchia Paola5,Botella Eric5,Delumeau Olivier4,Doherty Geoff6,Denham Emma L.7,Fogg Mark J.8,Fromion Vincent1,Goelzer Anne1,Hansen Annette5,Härtig Elisabeth9,Harwood Colin R.10,Homuth Georg3,Jarmer Hanne11,Jules Matthieu4,Klipp Edda12,Le Chat Ludovic4,Lecointe François4,Lewis Peter6,Liebermeister Wolfram12,March Anika9,Mars Ruben A. T.7,Nannapaneni Priyanka3,Noone David5,Pohl Susanne10,Rinn Bernd13,Rügheimer Frank14,Sappa Praveen K.3,Samson Franck1,Schaffer Marc2,Schwikowski Benno14,Steil Leif3,Stülke Jörg15,Wiegert Thomas16,Devine Kevin M.5,Wilkinson Anthony J.8,Maarten van Dijl Jan7,Hecker Michael2,Völker Uwe3,Bessières Philippe1,Noirot Philippe4

Affiliation:

1. INRA, UR1077, Mathématique Informatique et Génome, F-78350 Jouy-en-Josas, France.

2. Institute for Microbiology, Ernst-Moritz-Arndt University Greifswald, D-17489 Greifswald, Germany.

3. Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, D-17489 Greifswald, Germany.

4. INRA, UMR1319 Micalis, F-78350 Jouy-en-Josas, France.

5. Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland.

6. School of Environmental and Life Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.

7. Department of Medical Microbiology, University of Groningen and University Medical Center Groningen, 9700 RB Groningen, Netherlands.

8. York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 5YW, UK.

9. Institute of Microbiology, Technical University of Braunschweig, D-38106 Braunschweig, Germany.

10. Centre for Bacterial Cell Biology, Institute, of Cell and Molecular Biosciences, Newcastle University of Newcastle, Newcastle upon Tyne, NE2 4AX, UK.

11. Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.

12. Theoretical Biophysics, Humboldt University Berlin, 10115 Berlin, Germany.

13. Center for Information Sciences and Databases, Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.

14. Systems Biology Lab and CNRS URA 2171, Institut Pasteur, 75724 Paris cedex 15, France.

15. Department of General Microbiology, Georg-August-University Göttingen, D-37077 Göttingen, Germany.

16. FN Biotechnologie, Hochschule Zittau/Görlitz, D-02763 Zittau, Germany.

Abstract

Outside In Acquisition and analysis of large data sets promises to move us toward a greater understanding of the mechanisms by which biological systems are dynamically regulated to respond to external cues. Now, two papers explore the responses of a bacterium to changing nutritional conditions (see the Perspective by Chalancon et al. ). Nicolas et al. (p. 1103 ) measured transcriptional regulation for more than 100 different conditions. Greater amounts of antisense RNA were generated than expected and appeared to be produced by alternative RNA polymerase targeting subunits called sigma factors. One transition, from malate to glucose as the primary nutrient, was studied in more detail by Buescher et al. (p. 1099 ) who monitored RNA abundance, promoter activity in live cells, protein abundance, and absolute concentrations of intracellular and extracellular metabolites. In this case, the bacteria responded rapidly and largely without transcriptional changes to life on malate, but only slowly adapted to use glucose, a shift that required changes in nearly half the transcription network. These data offer an initial understanding of why certain regulatory strategies may be favored during evolution of dynamic control systems.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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