Application of Cyanobacteria as Chassis Cells in Synthetic Biology
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Synthetic biology is an exciting new area of research that combines science and engineering to design and build new biological functions and systems. Predictably, with the development of synthetic biology, more efficient and economical photosynthetic microalgae chassis will be successfully constructed, making it possible to break through laboratory research into large-scale industrial applications. The synthesis of a range of biochemicals has been demonstrated in cyanobacteria; however, low product titers are the biggest barrier to the commercialization of cyanobacterial biotechnology. This review summarizes the applied improvement strategies from the perspectives of cyanobacteria chassis cells and synthetic biology. The harvest advantages of cyanobacterial products and the latest progress in improving production strategies are discussed according to the product status. As cyanobacteria synthetic biology is still in its infancy, apart from the achievements made, the difficulties and challenges in the application and development of cyanobacteria genetic tool kits in biochemical synthesis, environmental monitoring, and remediation were assessed.
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Such tools allow researchers to construct heterologous metabolic pathways, alternative metabolic networks, and regulate gene expression to optimise metabolic flux within engineered systems.
“Such tools allow researchers to construct heterologous metabolic pathways, alternative metabolic networks, and regulate gene expression to optimise metabolic flux within engineered systems [50].”
From Cyanobacteria as a Photosynthetic Chassis for Metabolic Pathway Engineering with Heterologous Gene Expression (2026) · cites this paper as [50]
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Heterologous Expression of Cryptomaldamide in a Cyanobacterial Host
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Engineering Cyanobacterial Cell Morphology for Enhanced Recovery and Processing of Biomass
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Engineered Production of Hapalindole Alkaloids in the Cyanobacterium Synechococcus sp. UTEX 2973
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Cytotoxicity and Antibacterial Efficacy of Betaine- and Choline-Substituted Polymers
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Genomic analysis of parallel-evolved cyanobacterium Synechocystis sp. PCC 6803 under acid stress
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Incorporation, fate, and turnover of free fatty acids in cyanobacteria
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Fast-growing cyanobacterial chassis for synthetic biology application
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Synthetic biology in marine cyanobacteria: Advances and challenges
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Glycogen Production in Marine Cyanobacterial Strain Synechococcus sp. NKBG 15041c
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Thermodynamics contributes to high limonene productivity in cyanobacteria
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Genome‐scale metabolic representation of Amycolatopsis balhimycina
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Two-Stage System for Hydrogen Production by Immobilized CyanobacteriumGloeocapsa alpicolaCALU 743
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Two-Stage System for Hydrogen Production by Immobilized Cyanobacterium Gloeocapsa alpicola CALU 743
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ClpB1 Overproduction in Synechocystis sp. Strain PCC 6803 Increases Tolerance to Rapid Heat Shock
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A genetically encoded system for oxygen generation in living cells
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Flagged first, then by citations
2 of the 157 references couldn’t be matched to a known paper.
Cited by
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Broad-Host-Range Synthetic Biology: Rethinking Microbial Chassis as a Design Variable
Chan, D. T. C., Bjerg, J., & Bernstein, H. C. (2025) · ACS Synthetic Biology · doi:10.1021/acssynbio.5c00308 · Cited by 16 · see citing works
Philmus, B. J., Avalon, N. E., Ding, Y., Doering, D. T., Eustáquio, A. S., Gerwick, W. H., Luesch, H., Orjala, J., Sutherland, S., Taton, A., et al. (2025) · Natural Product Reports · doi:10.1039/d5np00016e · Cited by 9 · see citing works
Calcareous pink power: algal eco-economic potential
Weng, Y., Oyewole, T. S., Holweck, J., Younes, S., Brueck, T., & Awad, D. (2025) · Environmental Sciences Europe · doi:10.1186/s12302-025-01218-2 · Cited by 3 · see citing works
Song, C., Shi, Z., & Li, L. (2026) · RENDICONTI LINCEI · doi:10.1007/s12210-025-01404-7 · Cited by 3 · see citing works
Bioelectrocatalysis for solar fuels and sustainable energy
Iost, R. M., Lanceros-Méndez, S., & Crespilho, F. N. (2025) · Catalysis Science & Technology · doi:10.1039/d5cy00177c · Cited by 2 · see citing works
Walshe, J., & Saha, S. K. (2026) · Current Issues in Molecular Biology · doi:10.3390/cimb48060638 · Cited by 1 · see citing works
“Such tools allow researchers to construct heterologous metabolic pathways, alternative metabolic networks, and regulate gene expression to optimise metabolic flux within engineered systems [50].”
InfluentialThermal kill-switches based biocontainment for genetically engineered cyanobacteria
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Third-Generation Biofuels: Bacteria and Algae for Better Yield and Sustainability
Lackner, M., & Köpke, M. (2025) · Springer eBooks · doi:10.1007/978-3-031-84483-6_90 · Cited by 1 · see citing works
Genetic Modifications in Cyanobacteria: Current Status and Future Prospects
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Recent advances in omics-driven research of photosynthetic microorganisms in green biotechnology
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Overexpression of β-carboxysomes increases photosynthesis and growth in Synechocystis sp. PCC 6803
Hu, J., Zhao, K., Chen, Y., Ge, X., Yang, J., Dykes, G. F., Shi, J. W., & Liu, L. (2026) · PLANT PHYSIOLOGY · doi:10.1093/plphys/kiag261 · Cited by 2 · see citing works
Self-citationUse and dual use of synthetic biology
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Third-Generation Biofuels: Bacteria and Algae for Better Yield and Sustainability
Lackner, M. K., & Köpke, M. (2025) · Springer eBooks · doi:10.1007/978-1-4614-6431-0_90-3
Cyanobacteria: A Biological Chassis for Industrial Applications
Majhi, B. K. (2025) · IntechOpen eBooks · doi:10.5772/intechopen.1012978
Expression landscape of metabolic engineering enzymes in cyanobacteriaPreprint
Medipally, H., Karlsson, A., Dheer, A., Hudson, E. P., & Englund, E. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.08.717203
Lupacchini, S., Sporre, E., Attallah, N. L., Arumughan, V., Kontturi, E., Brismar, H., Maloney, T. C., Hudson, E. P., & Guccini, V. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.04.729836
Zhao, M., Shang, J., Pan, X., Wang, X., Guo, L., & Qi, X. (2026) · ACS Synthetic Biology · doi:10.1021/acssynbio.6c00078
Smarter Fermenters, Better Foods: Automation and AI in the Plant-Based Revolution
Buttrós, V. H., Dias, D. R., & Schwan, R. F. (2026) · Springer eBooks · doi:10.1007/978-3-032-29927-7_10
Extremophilic microbial chassis for biomanufacturing applications
Luo, Y., Song, Y., Xu, H., & Cao, Y. (2026) · Scientia Sinica Vitae · doi:10.1360/ssv-2026-0246
Pan, C., Chen, H., Zhang, M., He, S., & Lin, Z. (2026) · Chemical Science · doi:10.1039/d6sc06370e
- Authors
- Liu, X., Tang, K., & Hu, J.
- Affiliations
- Northwestern Polytechnical University (CN)
- Corresponding author
- Hu, Jinlu
- ORCID
- Venue
- Microorganisms
- Publisher
- MDPI AG
- Published
- 2024-07-05
- Volume
- 12
- Issue
- 7
- Pages
- 1375
- ISSN
- 2076-2607 (ISSN-L)
- PMC
- PMC11278661
- OpenAlex
- W4400364082
- Cited by
- 20
- References
- 157
- Citations by year
- 2026: 11 · 2025: 9
- FWCI
- 0.82
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Microorganisms (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (32270128)
- 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 › Photosynthetic Processes and Mechanisms
- Keywords
- cyanobacteria, chassis cells, synthetic biology, photosynthetic microalgae, biochemical production, product titer, genetic engineering tools, environmental monitoring, bioremediation, industrial biotechnology
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.
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