Adaptation and synthetic biology of the model cyanobacterium Synechococcus elongatus for sustainable development: a review
Open accessAbstract
Synechococcus elongatus is a model cyanobacterium with remarkable adaptability to diverse environmental stresses, making it a promising candidate for the photoautotrophic conversion of carbon dioxide into valuable chemicals. This review explores the adaptive mechanisms that allow S. elongatus to survive under various abiotic stresses, such as changes in CO 2 levels, heavy metals, and light conditions. We also highlight recent advancements in synthetic biology that have enabled the engineering of S. elongatus to produce biofuels and other value-added compounds, including fatty acids, alcohols, and carotenoids. Additionally, we discuss the applications of modern omics techniques to elucidate the genetic basis of stress tolerance and metabolic regulation. Despite the promising potential of S. elongatus for industrial applications, challenges remain in scaling up production, enhancing genetic stability, and optimizing bioreactor systems. Finally, we provide insights into future directions, including the integration of genome engineering, system-level modeling, and co-culture strategies, to improve the efficiency of cyanobacterial cell factories for sustainable biotechnology applications.
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Synechocystis sp. PCC 6803 is widely utilised due to its natural competence and high amenability to genetic manipulation, whereas Synechococcus species are often preferred for their relatively rapid growth rates and well-characterised physiology.
“Synechocystis sp. PCC 6803 is widely utilised due to its natural competence and high amenability to genetic manipulation, whereas Synechococcus species are often preferred for their relatively rapid growth rates and well-characterised physiology [21,22].”
From Cyanobacteria as a Photosynthetic Chassis for Metabolic Pathway Engineering with Heterologous Gene Expression (2026) · cites this paper as [22]
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“For example, Synechocystis sp. PCC 6803 is widely utilised due to its natural competence and high amenability to genetic manipulation, whereas Synechococcus species are often preferred for their relatively rapid growth rates and well-characterised physiology [21,22].”
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- Authors
- Meng, W., Xia, M., Hu, J., Wang, C., Qian, C., Zhang, M., & Fu, W.
- Affiliations
- Zhejiang University (CN)
- Tianjin University (CN)
- University of Iceland (IS)
- Corresponding author
- Fu, Weiqi
- Venue
- Frontiers in Marine Science
- Publisher
- Frontiers Media SA
- Published
- 2025-06-03
- Volume
- 12
- ISSN
- 2296-7745 (ISSN-L)
- OpenAlex
- W4411006148
- Cited by
- 5
- References
- 94
- Citations by year
- 2026: 3 · 2025: 2
- FWCI
- 0.44
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Marine Science (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (U23A2034)
- 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
- Anacystis nidulans, cyanobacteria, stress tolerance, abiotic stress adaptation, CO2 fixation, heavy metal stress, light stress, synthetic biology, biofuel production, fatty acid production, carotenoid production, omics, metabolic regulation, genome editing, system-level modeling, co-culture, sustainable 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.
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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