Investigating Moorella thermoacetica metabolism with a genome-scale constraint-based metabolic model
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Moorella thermoacetica is a strictly anaerobic, endospore-forming, and metabolically versatile acetogenic bacterium capable of conserving energy by both autotrophic (acetogenesis) and heterotrophic (homoacetogenesis) modes of metabolism. Its metabolic diversity and the ability to efficiently convert a wide range of compounds, including syngas (CO + H2) into acetyl-CoA have made this thermophilic bacterium a promising host for industrial biotechnology applications. However, lack of detailed information on M. thermoacetica's metabolism is a major impediment to its use as a microbial cell factory. In order to overcome this issue, a genome-scale constraint-based metabolic model of Moorella thermoacetica, iAI558, has been developed using its genome sequence and physiological data from published literature. The reconstructed metabolic network of M. thermoacetica comprises 558 metabolic genes, 705 biochemical reactions, and 698 metabolites. Of the total 705 model reactions, 680 are gene-associated while the rest are non-gene associated reactions. The model, in addition to simulating both autotrophic and heterotrophic growth of M. thermoacetica, revealed degeneracy in its TCA-cycle, a common characteristic of anaerobic metabolism. Furthermore, the model helped elucidate the poorly understood energy conservation mechanism of M. thermoacetica during autotrophy. Thus, in addition to generating experimentally testable hypotheses regarding its physiology, such a detailed model will facilitate rapid strain designing and metabolic engineering of M. thermoacetica for industrial applications.
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Similar genome-scale models also exist for C. ljungdahlii and M. thermoacetica.
“Similar models also exist for C. ljungdahlii (Nagarajan et al., 2013) and M. thermoacetica (Islam et al., 2015).”
From Gas Fermentation—A Flexible Platform for Commercial Scale Production of Low-Carbon-Fuels and Chemicals from Waste and Renewable Feedstocks (2016) · cites this paper as Islam et al., 2015
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- Authors
- Islam, M. A., Zengler, K., Edwards, E. A., Mahadevan, R., & Stephanopoulos, G.
- Affiliations
- Massachusetts Institute of Technology (US)
- University of California San Diego (US)
- University of Toronto (CA)
- Corresponding author
- Mahadevan, Radhakrishnan
- Stephanopoulos, Gregory
- ORCID
- Venue
- Integrative Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 2015
- Volume
- 7
- Issue
- 8
- Pages
- 869-882
- ISSN
- 1757-9694 (ISSN-L)
- 1757-9708
- OpenAlex
- W1920412431
- Semantic Scholar
- 13594a852785fd4f83f62b09af6016f903bdda7e
- Cited by
- 41
- References
- 58
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2 · 2023: 4 · 2022: 4 · 2021: 3 · 2020: 2 · 2019: 6 · 2018: 2 · 2017: 9 · 2016: 4 · 2015: 1
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- green
- dspace.lboro.ac.uk
- Licence
- cc-by-nc-nd
- Locations
- Integrative Biology (publishedVersion)
- PubMed (publishedVersion)
- Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- Funders
- U.S. Department of Energy
- University of California, San Diego
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- Moorella thermoacetica, genome-scale metabolic models, acetogenesis, homoacetogenesis, syngas conversion, acetyl-CoA biosynthesis, anaerobic metabolism, metabolic network reconstruction, metabolic engineering, industrial biotechnology
- MeSH terms
- Bacterial Proteins, Computer Simulation, Models, Biological, Signal Transduction, Genome, Bacterial, Proteome, Metabolic Networks and Pathways, Metabolome, Moorella
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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