Metabolomic and transcriptomic stress response of Escherichia coli

Abstract Environmental fluctuations lead to a rapid adjustment of the physiology of Escherichia coli, necessitating changes on every level of the underlying cellular and molecular network. Thus far, the majority of global analyses of E. coli stress responses have been limited to just one level, gene...

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Main Authors: Szymon Jozefczuk, Sebastian Klie, Gareth Catchpole, Jedrzej Szymanski, Alvaro Cuadros‐Inostroza, Dirk Steinhauser, Joachim Selbig, Lothar Willmitzer
Format: Article
Language:English
Published: Springer Nature 2010-05-01
Series:Molecular Systems Biology
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Online Access:https://doi.org/10.1038/msb.2010.18
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author Szymon Jozefczuk
Sebastian Klie
Gareth Catchpole
Jedrzej Szymanski
Alvaro Cuadros‐Inostroza
Dirk Steinhauser
Joachim Selbig
Lothar Willmitzer
author_facet Szymon Jozefczuk
Sebastian Klie
Gareth Catchpole
Jedrzej Szymanski
Alvaro Cuadros‐Inostroza
Dirk Steinhauser
Joachim Selbig
Lothar Willmitzer
author_sort Szymon Jozefczuk
collection DOAJ
description Abstract Environmental fluctuations lead to a rapid adjustment of the physiology of Escherichia coli, necessitating changes on every level of the underlying cellular and molecular network. Thus far, the majority of global analyses of E. coli stress responses have been limited to just one level, gene expression. Here, we incorporate the metabolite composition together with gene expression data to provide a more comprehensive insight on system level stress adjustments by describing detailed time‐resolved E. coli response to five different perturbations (cold, heat, oxidative stress, lactose diauxie, and stationary phase). The metabolite response is more specific as compared with the general response observed on the transcript level and is reflected by much higher specificity during the early stress adaptation phase and when comparing the stationary phase response to other perturbations. Despite these differences, the response on both levels still follows the same dynamics and general strategy of energy conservation as reflected by rapid decrease of central carbon metabolism intermediates coinciding with downregulation of genes related to cell growth. Application of co‐clustering and canonical correlation analysis on combined metabolite and transcript data identified a number of significant condition‐dependent associations between metabolites and transcripts. The results confirm and extend existing models about co‐regulation between gene expression and metabolites demonstrating the power of integrated systems oriented analysis.
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spelling doaj-art-9cd3c976778a47fd8bb2bfe5dd02c1ab2025-08-24T12:00:38ZengSpringer NatureMolecular Systems Biology1744-42922010-05-016111610.1038/msb.2010.18Metabolomic and transcriptomic stress response of Escherichia coliSzymon Jozefczuk0Sebastian Klie1Gareth Catchpole2Jedrzej Szymanski3Alvaro Cuadros‐Inostroza4Dirk Steinhauser5Joachim Selbig6Lothar Willmitzer7Molecular Plant Physiology, Max‐Planck‐Institute for Molecular Plant PhysiologyMolecular Plant Physiology, Max‐Planck‐Institute for Molecular Plant PhysiologyMolecular Plant Physiology, Max‐Planck‐Institute for Molecular Plant PhysiologyMolecular Plant Physiology, Max‐Planck‐Institute for Molecular Plant PhysiologyMolecular Plant Physiology, Max‐Planck‐Institute for Molecular Plant PhysiologyMolecular Plant Physiology, Max‐Planck‐Institute for Molecular Plant PhysiologyMolecular Plant Physiology, Max‐Planck‐Institute for Molecular Plant PhysiologyMolecular Plant Physiology, Max‐Planck‐Institute for Molecular Plant PhysiologyAbstract Environmental fluctuations lead to a rapid adjustment of the physiology of Escherichia coli, necessitating changes on every level of the underlying cellular and molecular network. Thus far, the majority of global analyses of E. coli stress responses have been limited to just one level, gene expression. Here, we incorporate the metabolite composition together with gene expression data to provide a more comprehensive insight on system level stress adjustments by describing detailed time‐resolved E. coli response to five different perturbations (cold, heat, oxidative stress, lactose diauxie, and stationary phase). The metabolite response is more specific as compared with the general response observed on the transcript level and is reflected by much higher specificity during the early stress adaptation phase and when comparing the stationary phase response to other perturbations. Despite these differences, the response on both levels still follows the same dynamics and general strategy of energy conservation as reflected by rapid decrease of central carbon metabolism intermediates coinciding with downregulation of genes related to cell growth. Application of co‐clustering and canonical correlation analysis on combined metabolite and transcript data identified a number of significant condition‐dependent associations between metabolites and transcripts. The results confirm and extend existing models about co‐regulation between gene expression and metabolites demonstrating the power of integrated systems oriented analysis.https://doi.org/10.1038/msb.2010.18Escherichia colimetabolomicresponse to stresstime coursetranscriptomic
spellingShingle Szymon Jozefczuk
Sebastian Klie
Gareth Catchpole
Jedrzej Szymanski
Alvaro Cuadros‐Inostroza
Dirk Steinhauser
Joachim Selbig
Lothar Willmitzer
Metabolomic and transcriptomic stress response of Escherichia coli
Molecular Systems Biology
Escherichia coli
metabolomic
response to stress
time course
transcriptomic
title Metabolomic and transcriptomic stress response of Escherichia coli
title_full Metabolomic and transcriptomic stress response of Escherichia coli
title_fullStr Metabolomic and transcriptomic stress response of Escherichia coli
title_full_unstemmed Metabolomic and transcriptomic stress response of Escherichia coli
title_short Metabolomic and transcriptomic stress response of Escherichia coli
title_sort metabolomic and transcriptomic stress response of escherichia coli
topic Escherichia coli
metabolomic
response to stress
time course
transcriptomic
url https://doi.org/10.1038/msb.2010.18
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