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 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. The model can be applied to design C. thermocellum as a platform microbe for consolidated bioprocessing to produce ethanol and other reduced metabolites.
Original language | English |
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Pages (from-to) | 207-219 |
Number of pages | 13 |
Journal | Metabolic Engineering |
Volume | 32 |
DOIs | |
State | Published - Nov 1 2015 |
Funding
This research was supported as a subcontract by the BioEnergy Science Center (BESC), a U.S. Department of Energy Bioenergy Research Center funded by the Office of Biological and Environmental Research in the DOE Office of Science ( DE-AC05-000R22725 ). The authors would like to thank Dr. Joe Bozell (the Center of Renewable Carbon, UTK) for use of the GC/MS instrument and Dr. Gary Sayler (the Center of Environmental Biotechnology, UTK) for use of the SRS UGA-300 Universal Gas Analyzer. We also thank Prof. Hans van Dijken for useful discussion.
Funders | Funder number |
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BioEnergy Science Center | |
DOE Office of Science | DE-AC05-000R22725 |
Office of Biological and Environmental Research | |
U.S. Department of Energy Bioenergy Research Center |
Keywords
- Clostridium thermocellum
- Elementary mode analysis
- Energy metabolism
- Ethanol
- Minimal metabolic functionality
- Redox metabolism