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An integrated network approach identifies the isobutanol response network of Escherichia coli
Isobutanol has emerged as a potential biofuel due to recent metabolic engineering efforts. Here we used gene expression and transcription network connectivity data, genetic knockouts, and network component analysis (NCA) to map the initial isobutanol response network of Escherichia coli under aerobi...
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Formato: | Texto |
Lenguaje: | English |
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Nature Publishing Group
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2710865/ https://www.ncbi.nlm.nih.gov/pubmed/19536200 http://dx.doi.org/10.1038/msb.2009.34 |
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author | Brynildsen, Mark P Liao, James C |
author_facet | Brynildsen, Mark P Liao, James C |
author_sort | Brynildsen, Mark P |
collection | PubMed |
description | Isobutanol has emerged as a potential biofuel due to recent metabolic engineering efforts. Here we used gene expression and transcription network connectivity data, genetic knockouts, and network component analysis (NCA) to map the initial isobutanol response network of Escherichia coli under aerobic conditions. NCA revealed profound perturbations to respiration. Further investigation showed ArcA as an important mediator of this response. Quinone/quinol malfunction was postulated to activate ArcA, Fur, and PhoB in this study. In support of this hypothesis, quinone-linked ArcA and Fur target expressions were significantly less perturbed by isobutanol under fermentative growth whereas quinol-linked PhoB target expressions remained activated, and isobutanol impeded growth on glycerol, which requires quinones, more than on glucose. In addition, ethanol, n-butanol, and isobutanol response networks were compared. n-Butanol and isobutanol responses were qualitatively similar, whereas ethanol had notable induction differences of pspABCDE and ndh, whose gene products manage proton motive force. The network described here could aid design and comprehension of alcohol tolerance, whereas the approach provides a general framework to characterize complex phenomena at the systems level. |
format | Text |
id | pubmed-2710865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-27108652009-07-15 An integrated network approach identifies the isobutanol response network of Escherichia coli Brynildsen, Mark P Liao, James C Mol Syst Biol Article Isobutanol has emerged as a potential biofuel due to recent metabolic engineering efforts. Here we used gene expression and transcription network connectivity data, genetic knockouts, and network component analysis (NCA) to map the initial isobutanol response network of Escherichia coli under aerobic conditions. NCA revealed profound perturbations to respiration. Further investigation showed ArcA as an important mediator of this response. Quinone/quinol malfunction was postulated to activate ArcA, Fur, and PhoB in this study. In support of this hypothesis, quinone-linked ArcA and Fur target expressions were significantly less perturbed by isobutanol under fermentative growth whereas quinol-linked PhoB target expressions remained activated, and isobutanol impeded growth on glycerol, which requires quinones, more than on glucose. In addition, ethanol, n-butanol, and isobutanol response networks were compared. n-Butanol and isobutanol responses were qualitatively similar, whereas ethanol had notable induction differences of pspABCDE and ndh, whose gene products manage proton motive force. The network described here could aid design and comprehension of alcohol tolerance, whereas the approach provides a general framework to characterize complex phenomena at the systems level. Nature Publishing Group 2009-06-16 /pmc/articles/PMC2710865/ /pubmed/19536200 http://dx.doi.org/10.1038/msb.2009.34 Text en Copyright © 2009, EMBO and Nature Publishing Group http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits distribution and reproduction in any medium, provided the original author and source are credited. Creation of derivative works is permitted but the resulting work may be distributed only under the same or similar licence to this one. This licence does not permit commercial exploitation without specific permission. |
spellingShingle | Article Brynildsen, Mark P Liao, James C An integrated network approach identifies the isobutanol response network of Escherichia coli |
title | An integrated network approach identifies the isobutanol response network of Escherichia coli |
title_full | An integrated network approach identifies the isobutanol response network of Escherichia coli |
title_fullStr | An integrated network approach identifies the isobutanol response network of Escherichia coli |
title_full_unstemmed | An integrated network approach identifies the isobutanol response network of Escherichia coli |
title_short | An integrated network approach identifies the isobutanol response network of Escherichia coli |
title_sort | integrated network approach identifies the isobutanol response network of escherichia coli |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2710865/ https://www.ncbi.nlm.nih.gov/pubmed/19536200 http://dx.doi.org/10.1038/msb.2009.34 |
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