Elucidating central metabolic redox obstacles hindering ethanol production in Clostridium thermocellum
Abstract
Clostridium thermocellum is an anaerobic, Gram-positive, thermophilic bacterium that has generated great interest due to its ability to ferment lignocellulosic biomass to ethanol. However, ethanol production is low due to the complex and poorly understood branched metabolism of C. thermocellum, and in some cases overflow metabolism as well. In this work, we developed a predictive stoichiometric metabolic model for C. thermocellum which incorporates the current state of understanding, with particular attention to cofactor specificity in the atypical glycolytic enzymes and the complex energy, redox, and fermentative pathways with the goal of aiding metabolic engineering efforts. We validated the model s capability to encompass experimentally observed phenotypes for the parent strain and derived mutants designed for significant perturbation of redox and energy pathways. Metabolic flux distributions revealed significant alterations in key metabolic branch points (e.g., phosphoenol pyruvate, pyruvate, acetyl-CoA, and cofactor nodes) in engineered strains for channeling electron and carbon fluxes for enhanced ethanol synthesis, with the best performing strain doubling ethanol yield and titer compared to the parent strain. In silico predictions of a redox-imbalanced genotype incapable of growth were confirmed in vivo, and a mutant strain was used as a platform to probe redox bottlenecks in the central metabolismmore »
- Authors:
-
- The Univ. of Tennessee, Knoxville, TN (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); The Univ. of Tennessee, Knoxville, TN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Dartmouth College, Hanover, NH (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). BioEnergy Science Center (BESC)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1327638
- Alternate Identifier(s):
- OSTI ID: 1250937
- Grant/Contract Number:
- AC05-00OR22725; AC05-000R22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Metabolic Engineering
- Additional Journal Information:
- Journal Volume: 32; Journal Issue: C; Journal ID: ISSN 1096-7176
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 59 BASIC BIOLOGICAL SCIENCES; Clostridium thermocellum; redox metabolism; energy metabolism; elementary mode analysis; minimal metabolic functionality; ethanol
Citation Formats
Thompson, R. Adam, Layton, Donovan S., Guss, Adam M., Olson, Daniel G., Lynd, Lee R., and Trinh, Cong T. Elucidating central metabolic redox obstacles hindering ethanol production in Clostridium thermocellum. United States: N. p., 2015.
Web. doi:10.1016/j.ymben.2015.10.004.
Thompson, R. Adam, Layton, Donovan S., Guss, Adam M., Olson, Daniel G., Lynd, Lee R., & Trinh, Cong T. Elucidating central metabolic redox obstacles hindering ethanol production in Clostridium thermocellum. United States. https://doi.org/10.1016/j.ymben.2015.10.004
Thompson, R. Adam, Layton, Donovan S., Guss, Adam M., Olson, Daniel G., Lynd, Lee R., and Trinh, Cong T. Wed .
"Elucidating central metabolic redox obstacles hindering ethanol production in Clostridium thermocellum". United States. https://doi.org/10.1016/j.ymben.2015.10.004. https://www.osti.gov/servlets/purl/1327638.
@article{osti_1327638,
title = {Elucidating central metabolic redox obstacles hindering ethanol production in Clostridium thermocellum},
author = {Thompson, R. Adam and Layton, Donovan S. and Guss, Adam M. and Olson, Daniel G. and Lynd, Lee R. and Trinh, Cong T.},
abstractNote = {Clostridium thermocellum is an anaerobic, Gram-positive, thermophilic bacterium that has generated great interest due to its ability to ferment lignocellulosic biomass to ethanol. However, ethanol production is low due to the complex and poorly understood branched metabolism of C. thermocellum, and in some cases overflow metabolism as well. In this work, we developed a predictive stoichiometric metabolic model for C. thermocellum which incorporates the current state of understanding, with particular attention to cofactor specificity in the atypical glycolytic enzymes and the complex energy, redox, and fermentative pathways with the goal of aiding metabolic engineering efforts. We validated the model s capability to encompass experimentally observed phenotypes for the parent strain and derived mutants designed for significant perturbation of redox and energy pathways. Metabolic flux distributions revealed significant alterations in key metabolic branch points (e.g., phosphoenol pyruvate, pyruvate, acetyl-CoA, and cofactor nodes) in engineered strains for channeling electron and carbon fluxes for enhanced ethanol synthesis, with the best performing strain doubling ethanol yield and titer compared to the parent strain. In silico predictions of a redox-imbalanced genotype incapable of growth were confirmed in vivo, and a mutant strain was used as a platform to probe redox bottlenecks in the central metabolism that hinder efficient ethanol production. The results highlight the robustness of the redox metabolism of C. thermocellum and the necessity of streamlined electron flux from reduced ferredoxin to NAD(P)H for high ethanol production. The model was further used to design a metabolic engineering strategy to phenotypically constrain C. thermocellum to achieve high ethanol yields while requiring minimal genetic manipulations. Furthermore, the model can be applied to design C. thermocellum as a platform microbe for consolidated bioprocessing to produce ethanol and other reduced metabolites.},
doi = {10.1016/j.ymben.2015.10.004},
journal = {Metabolic Engineering},
number = C,
volume = 32,
place = {United States},
year = {Wed Oct 21 00:00:00 EDT 2015},
month = {Wed Oct 21 00:00:00 EDT 2015}
}
Web of Science
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