Literature DB >> 28412516

Switching between nitrogen and glucose limitation: Unraveling transcriptional dynamics in Escherichia coli.

Michael Löffler1, Joana Danica Simen1, Jan Müller1, Günter Jäger2, Salaheddine Laghrami1, Karin Schäferhoff2, Andreas Freund1, Ralf Takors3.   

Abstract

Transcriptional control under nitrogen and carbon-limitation conditions have been well analyzed for Escherichia coli. However, the transcriptional dynamics that underlie the shift in regulatory programs from nitrogen to carbon limitation is not well studied. In the present study, cells were cultivated at steady state under nitrogen (ammonia)-limited conditions then shifted to carbon (glucose) limitation to monitor changes in transcriptional dynamics. Nitrogen limitation was found to be dominated by sigma 54 (RpoN) and sigma 38 (RpoS), whereas the "housekeeping" sigma factor 70 (RpoD) and sigma 38 regulate cellular status under glucose limitation. During the transition, nitrogen-mediated control was rapidly redeemed and mRNAs that encode active uptake systems, such as ptsG and manXYZ, were quickly amplified. Next, genes encoding facilitators such as lamB were overexpressed, followed by high affinity uptake systems such as mglABC and non-specific porins such as ompF. These regulatory programs are complex and require well-equilibrated and superior control. At the metabolome level, 2-oxoglutarate is the likely component that links carbon- and nitrogen-mediated regulation by interacting with major regulatory elements. In the case of dual glucose and ammonia limitation, sigma 24 (RpoE) appears to play a key role in orchestrating these complex regulatory networks.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  2-Oxoglutarate (α-Ketoglutarate); Carbon/nitrogen (double) limitation; Escherichia coli; Gene expression/regulation; Glucose uptake; Sigma 24 (rpoE)

Mesh:

Substances:

Year:  2017        PMID: 28412516     DOI: 10.1016/j.jbiotec.2017.04.011

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  8 in total

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4.  Repetitive Short-Term Stimuli Imposed in Poor Mixing Zones Induce Long-Term Adaptation of E. coli Cultures in Large-Scale Bioreactors: Experimental Evidence and Mathematical Model.

Authors:  Alexander Nieß; Michael Löffler; Joana D Simen; Ralf Takors
Journal:  Front Microbiol       Date:  2017-06-28       Impact factor: 5.640

5.  Impact of Elevated Levels of Dissolved CO2 on Performance and Proteome Response of an Industrial 2'-Fucosyllactose Producing Escherichia coli Strain.

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Review 7.  In Silico Prediction of Large-Scale Microbial Production Performance: Constraints for Getting Proper Data-Driven Models.

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Journal:  Comput Struct Biotechnol J       Date:  2018-07-06       Impact factor: 7.271

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  8 in total

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