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A quantitative description of light-limited cyanobacterial growth using flux balance analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F24%3A00599393" target="_blank" >RIV/86652079:_____/24:00599393 - isvavai.cz</a>

  • Result on the web

    <a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012280" target="_blank" >https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012280</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1371/journal.pcbi.1012280" target="_blank" >10.1371/journal.pcbi.1012280</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A quantitative description of light-limited cyanobacterial growth using flux balance analysis

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    PLoS Computational Biology

  • ISSN

    1553-734X

  • e-ISSN

    1553-7358

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    8

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    27

  • Pages from-to

    e1012280

  • UT code for WoS article

    001422919200008

  • EID of the result in the Scopus database

    2-s2.0-85200576529