A proteomic and transcriptional view of acidogenic and solventogenic steady-state cells of Clostridium acetobutylicum in a chemostat culture
The complex changes in the life cycle of Clostridium acetobutylicum, a promising biofuel producer, are not well understood. During exponential growth, sugars are fermented to acetate and butyrate, and in the transition phase, the metabolism switches to the production of the solvents acetone and butanol accompanied by the initiation of endospore formation. Using phosphate-limited chemostat cultures at pH 5.7, C. acetobutylicum was kept at a steady state of acidogenic metabolism, whereas at pH 4.5, the cells showed stable solvent production without sporulation. Novel proteome reference maps of cytosolic proteins from both acidogenesis and solventogenesis with a high degree of reproducibility were generated. Yielding a 21% coverage, 15 protein spots were specifically assigned to the acidogenic phase, and 29 protein spots exhibited a significantly higher abundance in the solventogenic phase. Besides well-known metabolic proteins, unexpected proteins were also identified. Among these, the two proteins CAP0036 and CAP0037 of unknown function were found as major striking indicator proteins in acidogenic cells. Proteome data were confirmed by genome-wide DNA microarray analyses of the identical cultures. Thus, a first systematic study of acidogenic and solventogenic chemostat cultures is presented, and similarities as well as differences to previous studies of batch cultures are discussed.
SEEK ID: https://fairdomhub.org/publications/93
DOI: 10.1007/s00253-010-2741-x
Projects: COSMIC
Publication type: Not specified
Journal: Appl Microbiol Biotechnol
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Date Published: 1st Aug 2010
Registered Mode: Not specified
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Created: 8th Nov 2010 at 15:25
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Projects: COSMIC
Institutions: University of Rostock
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Institutions: University of Goettingen
Expertise: pH dependent dynamic shift experiments of continuous cultures
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Institutions: University of Goettingen
Expertise: Microbiology, Molecular Biology, Programming, Anaerobic Microbiology, Chemostats, HPLC, Clostridium, Microarray printing, Microarray experiments with prokaryotes, Database design
Tools: Microbiology, Java, Fermentation, Microarray analysis, Molecular biology techniques (RNA/DNA/Protein), qRT-PCR, HPLC, Groovy
I have a permanent position at the department of microbiology at the TU-München. As a microbiologist I am interested in the regulation of central metabolism in prokaryotic organisms with different types of energy metabolism such as Clostridia, Bacilli and acetic acid bacteria. Furthermore I worked as a software developer for several years in a bioinformatics company and I am very interested in bioinformatics and handling of large amounts of data.
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Institutions: University of Rostock
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Institutions: University of Nottingham
I am a Birmingham and MRC Fellow in mathematical biology. Specialising in the modelling of gene regulation networks using both numerical and analytical approaches, my work spans a range of biological applications, from drug development to bioenergy to understanding bacterial behaviour. My MRC fellowship gave me the opportunity to gain experimental training in order to generate the complementary data required to adopt a truly interdisciplinary approach to mathematical modelling in biology.
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Projects: COSMIC
Institutions: University of Rostock
Expertise: Microbiology, Biotechnology
Tools: Transcriptomics, Fermentation, Proteomics (2D-PAGE), Gaschromatographic analysis
PhD University of Rostock, Germany Institute of Biological Sciences Division of Microbiology Albert-Einstein-Str. 3 18051 Rostock
SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.
Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...
Projects: BaCell-SysMO, COSMIC, SUMO, KOSMOBAC, SysMO-LAB, PSYSMO, SCaRAB, MOSES, TRANSLUCENT, STREAM, SulfoSys, SysMO DB, SysMO Funders, SilicoTryp, Noisy-Strep
Web page: http://sysmo.net/
Systems Biology of Clostridium acetobutylicum - a possible answer to dwindling crude oil reserves
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=54
Organisms: Clostridium acetobutylicum
Comparison of the transcriptome at steady state in acidogenesis and at steady state in solventogenesis.
Submitter: Sara Jabbari
Assay type: Genomics
Technology type: Microarray
Investigation: The effect of pH upon the metabolic shift in Cl...
Organisms: Clostridium acetobutylicum : ATCC824 (wild-type / wild-type)
SOPs: No SOPs
Data files: Transcriptome data of Clostridium acetobutylicu..., Transcriptome data of Clostridium acetobutylicu...
Snapshots: No snapshots
Investigation of all steady state pH-values between pH 5.7 and 4.5 (pH 5.5, 5.3, 5.1, 4.9, 4.7).
Submitter: Sara Jabbari
Assay type: Proteomics
Technology type: Technology Type
Investigation: The effect of pH upon the metabolic shift in Cl...
Study: Effect of pH on the proteome
Organisms: Clostridium acetobutylicum : ATCC824 (wild-type / wild-type)
SOPs: Standard operating procedure to analyze the int...
Data files: Proteome Reference maps of Clostridium acetobuy..., Proteome of Clostridium acetobutylicum growing ...
Snapshots: No snapshots
Measurements of acetone, butanol, acetate, butyrate and ethanol taken during dynamic shift (pH 5.8, 5.5, 5.3, 5.1, 4.9, 4.7, 4.5) and at steady state (pH 5.7, 5.5, 5.3, 5.1, 4.9, 4.7, 4.5).
Submitter: Sara Jabbari
Assay type: Metabolomics
Technology type: Technology Type
Investigation: The effect of pH upon the metabolic shift in Cl...
Organisms: Clostridium acetobutylicum : ATCC824 (wild-type / wild-type)
SOPs: No SOPs
Data files: End products of Clostridium acetobutylicum grow..., End products of Clostridium acetobutylicum grow...
Snapshots: No snapshots
Monitoring of end products ethanol, acetone, butanol, acetate and butyrate during master fermentation of Clostridium acetobutylicum at the steady state pH values 5.5, 5.3, 5.1, 4.9 and 4.7.
Creator: Holger Janssen
Submitter: Holger Janssen
Investigations: The effect of pH upon the metabolic shift in Cl...
Studies: Effect of pH on the metabolome
Micro array analysis of steady-state growing cells of Clostridium acetobutylicum at pH 5.7 (acidogenesis) in comparison to pH 4.5 (solventogenesis).
Creator: Holger Janssen
Submitter: Holger Janssen
Investigations: The effect of pH upon the metabolic shift in Cl...
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Monitoring of end products in mM of ethanol, acetone, butanol, acetate and butyrate during master fermentation of Clostridium acetobutylicum at the steady state pH values 5.7 (acidogenesis) and 4.5 (solventogenesis).
Creator: Holger Janssen
Submitter: Holger Janssen
Investigations: The effect of pH upon the metabolic shift in Cl...
Studies: Effect of pH on the metabolome
Micro array analyses of all mRNA levels of cells growing at steady state pH values 5.7, 5.5, 5.3, 5.1, 4.9, 4.7 compared to the same reference steady-state pH 4.5.
Creator: Holger Janssen
Submitter: Holger Janssen
Investigations: The effect of pH upon the metabolic shift in Cl...
Studies: Effect of pH upon the transcriptome
All spots and identified proteins of Clostridium acetobutylicum growing at steady-state pH 5.7 (acidogenesis) and pH 4.5 (solventogenesis), respectively, using 2D PAGE and Maldi-TOF analysis. The focus were cytosolic proteins with an isoelectric point bewteen 4 and 7 as well as a molecular weight of 180-10 kDa.
Creator: Holger Janssen
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Investigations: The effect of pH upon the metabolic shift in Cl...
Studies: Effect of pH on the proteome
Representation of all prepared 2D PAGE analyses of cytosolic proteins of Clostridium acetobutylicum growing continuously at pH 5.5, 5.3, 5.1, 4.9 and 4.7.
Creator: Holger Janssen
Submitter: Holger Janssen
Investigations: The effect of pH upon the metabolic shift in Cl...
Studies: Effect of pH on the proteome
This model assumes a phenotypic switch between an acid- and solvent-forming population caused by the changing pH levels. The two phenotypes differ in their transcriptomic, proteomic, and ,thus, their metabolomic profile. Because the growth rates of these phenotypes depends on the extracellular pH, the initiation of the pH-shift results in a significant decline of the acidogenic population. Simultaneously, the solvent-forming population rises and establishes an new steady state.
The model is build ...
Creators: Thomas Millat, Graeme Thorn, Olaf Wolkenhauer, John King
Submitter: Thomas Millat
Model type: Ordinary differential equations (ODE)
Model format: Matlab package
Environment: Matlab
Organism: Clostridium acetobutylicum
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
The acetone-butanol-ethanol (ABE) fermentation of Clostridium acetobutylicum attracts new attention because it provides a potential alternative for the synthesis of value added chemicals to petroleum and other fossil reserves. This fermentative metabolic process comprises two distinct metabolic states that differ in their product spectrum. Growing on starch or sugars the predominant fermentation products are acetate and butyrate during acidogenesis (high pH). In contrast, C. acetobutylicum produces ...
Creator: Thomas Millat
Submitter: Thomas Millat
This presentation given at the 5th International Beilstein Symposium presents the development of a model for the pH-induced shift in C. acetobutylicum. Starting from experimental information, the model construction and underlying assumptions are explained. Furthermore, the required additions to the metabolic and genetic network caused by the used experimentals setup are established.
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Creator: Thomas Millat
Submitter: Thomas Millat