Detailing the optimality of photosynthesis in cyanobacteria through systems biology analysis
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Photosynthesis has recently gained considerable attention for its potential role in the development of renewable energy sources. Optimizing photosynthetic organisms for biomass or biofuel production will therefore require a systems understanding of photosynthetic processes. We reconstructed a high-quality genome-scale metabolic network for Synechocystis sp. PCC6803 that describes key photosynthetic processes in mechanistic detail. We performed an exhaustive in silico analysis of the reconstructed photosynthetic process under different light and inorganic carbon (Ci) conditions as well as under genetic perturbations. Our key results include the following. (i) We identified two main states of the photosynthetic apparatus: a Ci-limited state and a light-limited state. (ii) We discovered nine alternative electron flow pathways that assist the photosynthetic linear electron flow in optimizing the photosynthesis performance. (iii) A high degree of cooperativity between alternative pathways was found to be critical for optimal autotrophic metabolism. Although pathways with high photosynthetic yield exist for optimizing growth under suboptimal light conditions, pathways with low photosynthetic yield guarantee optimal growth under excessive light or Ci limitation. (iv) Photorespiration was found to be essential for the optimal photosynthetic process, clarifying its role in high-light acclimation. Finally, (v) an extremely high photosynthetic robustness drives the optimal autotrophic metabolism at the expense of metabolic versatility and robustness. The results and modeling approach presented here may promote a better understanding of the photosynthetic process. They can also guide bioengineering projects toward optimal biofuel production in photosynthetic organisms.
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“The Calvin cycle itself requires a high ATP/NADPH input, with an approximate ATP/NADPH demand of 1.5 for CO2 fixation [160].”
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“The Calvin cycle itself requires a high ATP/NADPH input, with an approximate ATP/NADPH demand of 1.5 for CO 2 fixation [160].”
Influential
- Authors
- Nogales, J., Gudmundsson, S., Knight, E. M., Palsson, B. O., & Thiele, I.
- Affiliations
- University of Iceland (IS)
- Center for Systems Biology, University of Iceland, 101 Reykjavik, Iceland
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2012-01-30
- Volume
- 109
- Issue
- 7
- Pages
- 2678-2683
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3289291
- OpenAlex
- W2012689220
- Cited by
- 301
- References
- 108
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 14 · 2023: 11 · 2022: 17 · 2021: 18 · 2020: 19 · 2019: 17 · 2018: 25 · 2017: 30 · 2016: 35 · 2015: 29 · 2014: 32 · 2013: 22 · 2012: 12
- FWCI
- 12.22
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Open Repository and Bibliography (University of Luxembourg) (submittedVersion, other-oa)
- Funders
- U.S. Department of Energy (DESC0002009)
- National Institute of General Medical Sciences (U01GM102098)
- Advanced Scientific Computing Research
- Biological and Environmental Research
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Photosynthetic Processes and Mechanisms
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Keywords
- photosynthesis, cyanobacteria, Synechocystis sp. PCC 6803, genome-scale metabolic networks, photorespiration, light limitation, inorganic carbon limitation, high light acclimation, photosynthetic yield, metabolic robustness, autotrophic metabolism, biofuel production
- MeSH terms
- Photosynthesis, Synechocystis, Systems Biology
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