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A quantitative description of light-limited cyanobacterial growth using flux balance analysis
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SYSNO ASEP 0599393 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title A quantitative description of light-limited cyanobacterial growth using flux balance analysis Author(s) Höper, D. (DE)
Komkova, D. (DE)
Zavřel, Tomáš (UEK-B) RID, SAI, ORCID
Steuer, R. (DE)Number of authors 4 Article number e1012280 Source Title PLoS Computational Biology - ISSN 1553-734X
Roč. 20, č. 8 (2024)Number of pages 27 s. Language eng - English Country US - United States Keywords Computational Biology ; Cyanobacteria ; Metabolic Flux Analysis ; photosynthesis ; light Subject RIV IN - Informatics, Computer Science OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Method of publishing Open access Institutional support UEK-B - RVO:86652079 UT WOS 001422919200008 EID SCOPUS 85200576529 DOI https://doi.org/10.1371/journal.pcbi.1012280 Annotation The metabolism of phototrophic cyanobacteria is an integral part of global biogeochemical cycles, and the capability of cyanobacteria to assimilate atmospheric CO2 into organic carbon has manifold potential applications for a sustainable biotechnology. To elucidate the properties of cyanobacterial metabolism and growth, computational reconstructions of genome-scale metabolic networks play an increasingly important role. Here, we present an updated reconstruction of the metabolic network of the cyanobacterium Synechocystis sp. PCC 6803 and its quantitative evaluation using flux balance analysis (FBA). To overcome limitations of conventional FBA, and to allow for the integration of experimental analyses, we develop a novel approach to describe light absorption and light utilization within the framework of FBA. Our approach incorporates photoinhibition and a variable quantum yield into the constraint-based description of light-limited phototrophic growth. We show that the resulting model is capable of predicting quantitative properties of cyanobacterial growth, including photosynthetic oxygen evolution and the ATP/NADPH ratio required for growth and cellular maintenance. Our approach retains the computational and conceptual simplicity of FBA and is readily applicable to other phototrophic microorganisms. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2025 Electronic address https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012280
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