Metabolic model guided strain design of cyanobacteria
Open accessAbstract
Cyanobacteria are oxygenic photoautotrophs that serve as potential platforms for the production of biochemicals from cheap and renewable raw materials - sunlight, water, and carbon dioxide. Systems level analysis of the metabolic network of these organisms could enable the successful engineering of these organisms for the enhanced production of target chemicals. Metabolic modeling techniques including both stoichiometric and kinetic modeling with a genome-wide coverage enable a global assessment of metabolic capabilities. Recent studies guided by such modeling techniques have engineered strains for the enhanced production of valuable chemicals such as ethanol, n-butanol, 1,3-propanediol, glycerol, limonene, and isoprene from CO 2.
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This approach is especially critical for pathways that demand high levels of pyruvate, acetyl-CoA, glyceraldehyde-3-phosphate, ATP, or NADPH.
“This approach is especially critical for pathways that demand high levels of pyruvate, acetyl-CoA, glyceraldehyde-3-phosphate, ATP, or NADPH [212].”
From Cyanobacteria as a Photosynthetic Chassis for Metabolic Pathway Engineering with Heterologous Gene Expression (2026) · cites this paper as [212]
The genome-scale metabolic modeling section (p. 5) says models can compare metabolic routes for yield and energetic efficiency, illustrating this with acetyl-CoA synthesis and the ATP cost of n-butanol. It does not say the approach is especially critical for pathways with high demands for the full listed set of pyruvate, acetyl-CoA, glyceraldehyde-3-phosphate, ATP, or NADPH. (LLM, conf=0.84)
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Metabolism of microalgae and metabolic engineering for biomaterial applications
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Walshe, J., & Saha, S. K. (2026) · Current Issues in Molecular Biology · doi:10.3390/cimb48060638 · Cited by 1 · see citing works
“This approach is especially critical for pathways that demand high levels of pyruvate, acetyl-CoA, glyceraldehyde-3-phosphate, ATP, or NADPH [212].”
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Trends in cyanobacterial Phycobiliproteins - structure, function, and applications: A review
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Rhythm of The Night (and Day): Predictive metabolic modeling of circadian growth in ChlamydomonasPreprint
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Engineering Cyanobacteria for Efficient Photosynthetic Production: Ethanol Case Study
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- Authors
- Hendry, J. I., Bandyopadhyay, A., Srinivasan, S., Pakrasi, H. B., & Maranas, C. D.
- Affiliations
- Pennsylvania State University (US)
- Washington University in St. Louis (US)
- Corresponding author
- Maranas, Costas D
- Venue
- Current Opinion in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 64
- Pages
- 17-23
- ISSN
- 0958-1669 (ISSN-L)
- OpenAlex
- W3003581587
- Cited by
- 46
- References
- 68
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 5 · 2023: 8 · 2022: 3 · 2021: 13 · 2020: 9 · 2019: 1
- FWCI
- 0.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Opinion in Biotechnology (acceptedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- National Science Foundation
- U.S. Department of Energy
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- cyanobacteria, strain engineering, metabolic modeling, genome-scale metabolic models, kinetic modeling, CO2 utilization, bio-based chemicals, ethanol production, n-butanol, 1,3-propanediol, glycerol, limonene, isoprene, metabolic network analysis
- MeSH terms
- Cyanobacteria, Carbon Dioxide, Photosynthesis, Metabolic Networks and Pathways, Metabolic Engineering
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