Shedding light on blue-green photosynthesis: A wavelength-dependent mathematical model of photosynthesis in Synechocystis sp. PCC 6803.

Autor: Pfennig T; Computational Life Science, Department of Biology, RWTH Aachen University, Aachen, Germany.; Cluster of Excellence on Plant Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany., Kullmann E; Computational Life Science, Department of Biology, RWTH Aachen University, Aachen, Germany., Zavřel T; Department of Adaptive Biotechnologies, Global Change Research Institute, Czech Academy of Sciences, Brno, Czechia., Nakielski A; Computational Life Science, Department of Biology, RWTH Aachen University, Aachen, Germany.; Institute for Synthetic Microbiology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany., Ebenhöh O; Cluster of Excellence on Plant Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.; Institute of Theoretical and Quantitative Biology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany., Červený J; Department of Adaptive Biotechnologies, Global Change Research Institute, Czech Academy of Sciences, Brno, Czechia., Bernát G; Aquatic Botany and Microbial Ecology Research Group, HUN-REN Balaton Limnological Research Institute, Tihany, Hungary., Matuszyńska AB; Computational Life Science, Department of Biology, RWTH Aachen University, Aachen, Germany.; Cluster of Excellence on Plant Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Jazyk: angličtina
Zdroj: PLoS computational biology [PLoS Comput Biol] 2024 Sep 12; Vol. 20 (9), pp. e1012445. Date of Electronic Publication: 2024 Sep 12 (Print Publication: 2024).
DOI: 10.1371/journal.pcbi.1012445
Abstrakt: Cyanobacteria hold great potential to revolutionize conventional industries and farming practices with their light-driven chemical production. To fully exploit their photosynthetic capacity and enhance product yield, it is crucial to investigate their intricate interplay with the environment including the light intensity and spectrum. Mathematical models provide valuable insights for optimizing strategies in this pursuit. In this study, we present an ordinary differential equation-based model for the cyanobacterium Synechocystis sp. PCC 6803 to assess its performance under various light sources, including monochromatic light. Our model can reproduce a variety of physiologically measured quantities, e.g. experimentally reported partitioning of electrons through four main pathways, O2 evolution, and the rate of carbon fixation for ambient and saturated CO2. By capturing the interactions between different components of a photosynthetic system, our model helps in understanding the underlying mechanisms driving system behavior. Our model qualitatively reproduces fluorescence emitted under various light regimes, replicating Pulse-amplitude modulation (PAM) fluorometry experiments with saturating pulses. Using our model, we test four hypothesized mechanisms of cyanobacterial state transitions for ensemble of parameter sets and found no physiological benefit of a model assuming phycobilisome detachment. Moreover, we evaluate metabolic control for biotechnological production under diverse light colors and irradiances. We suggest gene targets for overexpression under different illuminations to increase the yield. By offering a comprehensive computational model of cyanobacterial photosynthesis, our work enhances the basic understanding of light-dependent cyanobacterial behavior and sets the first wavelength-dependent framework to systematically test their producing capacity for biocatalysis.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Pfennig et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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