Počet záznamů: 1  

Quantitative insights into the cyanobacterial cell economy

  1. 1.
    0504331 - ÚVGZ 2020 RIV GB eng J - Článek v odborném periodiku
    Zavřel, Tomáš - Faizi, M. - Loureiro, C. - Poschmann, G. - Stuehler, K. - Sinětova, Maria A. - Zorina, A. - Steuer, R. - Červený, Jan
    Quantitative insights into the cyanobacterial cell economy.
    eLife. Roč. 8, feb (2019), č. článku e42508. ISSN 2050-084X. E-ISSN 2050-084X
    Grant CEP: GA ČR(CZ) GA18-24397S
    Výzkumná infrastruktura: CzeCOS II - 90061
    Institucionální podpora: RVO:86652079
    Klíčová slova: sp pcc 6803 * bacterial-growth laws * gene-expression * resource-allocation * chlorophyll fluorescence * trade-offs * light * cultivation * model * photobioreactor
    Obor OECD: Microbiology
    Impakt faktor: 7.080, rok: 2019
    Způsob publikování: Open access
    https://elifesciences.org/articles/42508

    Phototrophic microorganisms are promising resources for green biotechnology. Compared to heterotrophic microorganisms, however, the cellular economy of phototrophic growth is still insufficiently understood. We provide a quantitative analysis of light-limited, light-saturated, and light-inhibited growth of the cyanobacterium Synechocystis sp. PCC 6803 using a reproducible cultivation setup. We report key physiological parameters, including growth rate, cell size, and photosynthetic activity over a wide range of light intensities. Intracellular proteins were quantified to monitor proteome allocation as a function of growth rate. Among other physiological acclimations, we identify an upregulation of the translational machinery and downregulation of light harvesting components with increasing light intensity and growth rate. The resulting growth laws are discussed in the context of a coarse-grained model of phototrophic growth and available data obtained by a comprehensive literature search. Our insights into quantitative aspects of cyanobacterial acclimations to different growth rates have implications to understand and optimize photosynthetic productivity.
    Trvalý link: http://hdl.handle.net/11104/0295991

     
     
Počet záznamů: 1  

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