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Global network reorganization during dynamic adaptations of Bacillus subtilis metabolism

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Authors:
  • Buescher, Joerg Martin ;
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  • Liebermeister, Wolfram ;
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  • Jules, Matthieu ;
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  • Uhr, Markus ;
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  • Muntel, Jan ;
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  • Botella, Eric ;
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  • Hessling, Bernd ;
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  • Kleijn, Roelco Jacobus ;
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  • Le Chat, Ludovic ;
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  • Lecointe, François ;
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  • Mäder, Ulrike ;
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  • Nicolas, Pierre ;
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  • Piersma, Sjouke ;
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  • Rügheimer, Frank ;
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  • Becher, Dörte ;
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  • Bessieres, Philippe ;
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  • Bidnenko, Elena ;
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  • Denham, Emma L ;
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  • Dervyn, Etienne ;
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  • Devine, Kevin M ;
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  • Doherty, Geoff ;
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  • Drulhe, Samuel ;
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  • Felicori, Liza ;
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  • Fogg, Mark J ;
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  • Goelzer, Anne ;
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  • Hansen, Annette ;
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  • Harwood, Colin R ;
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  • Hecker, Michael ;
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  • Hubner, Sebastian ;
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  • Hultschig, Claus ;
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  • Jarmer, Hanne ;
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    Orcid logo0000-0002-6549-8730
    Department of Systems Biology, Technical University of Denmark
  • Klipp, Edda ;
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  • Leduc, Aurélie ;
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  • Lewis, Peter ;
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  • Molina, Frank ;
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  • Noirot, Philippe ;
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  • Peres, Sabine ;
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  • Pigeonneau, Nathalie ;
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  • Pohl, Susanne ;
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  • Rasmussen, Simon ;
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    Orcid logo0000-0001-6323-9041
    Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark
  • Rinn, Bernd ;
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  • Schaffer, Marc ;
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  • Schnidder, Julian ;
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  • Schwikowski, Benno ;
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  • Van Dijl, Jan Maarten ;
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  • Veiga, Patrick ;
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  • Walsh, Sean ;
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  • Wilkinson, Anthony J ;
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  • Stelling, Jörg ;
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  • Aymerich, Stéphane ;
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  • Sauer, Uwe
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DOI:
10.1126/science.1206871
Abstract:
Adaptation of cells to environmental changes requires dynamic interactions between metabolic and regulatory networks, but studies typically address only one or a few layers of regulation. For nutritional shifts between two preferred carbon sources of Bacillus subtilis, we combined statistical and model-based data analyses of dynamic transcript, protein, and metabolite abundances and promoter activities. Adaptation to malate was rapid and primarily controlled posttranscriptionally compared with the slow, mainly transcriptionally controlled adaptation to glucose that entailed nearly half of the known transcription regulation network. Interactions across multiple levels of regulation were involved in adaptive changes that could also be achieved by controlling single genes. Our analysis suggests that global trade-offs and evolutionary constraints provide incentives to favor complex control programs.
Type:
Journal article
Language:
English
Published in:
Science, 2012, Vol 335, Issue 6072, p. 1099-1103
Main Research Area:
Science/technology
Publication Status:
Published
Review type:
Peer Review
Submission year:
2012
Scientific Level:
Scientific
ID:
194549715

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