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  • 1
    Publication Date: 2012-03-03
    Description: 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.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nicolas, Pierre -- Mader, Ulrike -- Dervyn, Etienne -- Rochat, Tatiana -- Leduc, Aurelie -- Pigeonneau, Nathalie -- Bidnenko, Elena -- Marchadier, Elodie -- Hoebeke, Mark -- Aymerich, Stephane -- Becher, Dorte -- Bisicchia, Paola -- Botella, Eric -- Delumeau, Olivier -- Doherty, Geoff -- Denham, Emma L -- Fogg, Mark J -- Fromion, Vincent -- Goelzer, Anne -- Hansen, Annette -- Hartig, Elisabeth -- Harwood, Colin R -- Homuth, Georg -- Jarmer, Hanne -- Jules, Matthieu -- Klipp, Edda -- Le Chat, Ludovic -- Lecointe, Francois -- Lewis, Peter -- Liebermeister, Wolfram -- March, Anika -- Mars, Ruben A T -- Nannapaneni, Priyanka -- Noone, David -- Pohl, Susanne -- Rinn, Bernd -- Rugheimer, Frank -- Sappa, Praveen K -- Samson, Franck -- Schaffer, Marc -- Schwikowski, Benno -- Steil, Leif -- Stulke, Jorg -- Wiegert, Thomas -- Devine, Kevin M -- Wilkinson, Anthony J -- van Dijl, Jan Maarten -- Hecker, Michael -- Volker, Uwe -- Bessieres, Philippe -- Noirot, Philippe -- New York, N.Y. -- Science. 2012 Mar 2;335(6072):1103-6. doi: 10.1126/science.1206848.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉INRA, UR1077, Mathematique Informatique et Genome, Jouy-en-Josas, France.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22383849" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological ; Algorithms ; Bacillus subtilis/*genetics/*physiology ; Binding Sites ; Gene Expression Profiling ; *Gene Expression Regulation, Bacterial ; Gene Regulatory Networks ; Oligonucleotide Array Sequence Analysis ; *Promoter Regions, Genetic ; RNA, Antisense/genetics/metabolism ; RNA, Bacterial/genetics/metabolism ; RNA, Messenger/genetics/metabolism ; Regulon ; Sigma Factor/metabolism ; Terminator Regions, Genetic ; *Transcription, Genetic ; *Transcriptome
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2012-03-03
    Description: 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.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Buescher, Joerg Martin -- Liebermeister, Wolfram -- Jules, Matthieu -- Uhr, Markus -- Muntel, Jan -- Botella, Eric -- Hessling, Bernd -- Kleijn, Roelco Jacobus -- Le Chat, Ludovic -- Lecointe, Francois -- Mader, Ulrike -- Nicolas, Pierre -- Piersma, Sjouke -- Rugheimer, Frank -- Becher, Dorte -- Bessieres, Philippe -- Bidnenko, Elena -- Denham, Emma L -- Dervyn, Etienne -- Devine, Kevin M -- Doherty, Geoff -- Drulhe, Samuel -- Felicori, Liza -- Fogg, Mark J -- Goelzer, Anne -- Hansen, Annette -- Harwood, Colin R -- Hecker, Michael -- Hubner, Sebastian -- Hultschig, Claus -- Jarmer, Hanne -- Klipp, Edda -- Leduc, Aurelie -- Lewis, Peter -- Molina, Frank -- Noirot, Philippe -- Peres, Sabine -- Pigeonneau, Nathalie -- Pohl, Susanne -- Rasmussen, Simon -- Rinn, Bernd -- Schaffer, Marc -- Schnidder, Julian -- Schwikowski, Benno -- Van Dijl, Jan Maarten -- Veiga, Patrick -- Walsh, Sean -- Wilkinson, Anthony J -- Stelling, Jorg -- Aymerich, Stephane -- Sauer, Uwe -- New York, N.Y. -- Science. 2012 Mar 2;335(6072):1099-103. doi: 10.1126/science.1206871.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22383848" target="_blank"〉PubMed〈/a〉
    Keywords: *Adaptation, Physiological ; Algorithms ; Bacillus subtilis/*genetics/*metabolism ; Bacterial Proteins/metabolism ; Computer Simulation ; Data Interpretation, Statistical ; Gene Expression Regulation, Bacterial ; *Gene Regulatory Networks ; Genome, Bacterial ; Glucose/*metabolism ; Malates/*metabolism ; Metabolic Networks and Pathways/*genetics ; Metabolome ; Metabolomics ; Models, Biological ; Operon ; Promoter Regions, Genetic ; Transcription Factors/metabolism ; Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
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