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Quantitative insights into the cyanobacterial cell economy
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SYSNO ASEP 0522763 Document Type A - Abstract R&D Document Type The record was not marked in the RIV R&D Document Type Není vybrán druh dokumentu Title Quantitative insights into the cyanobacterial cell economy Author(s) Zavřel, Tomáš (UEK-B) RID, SAI, ORCID
Faizi, M. (DE)
Loureiro, C. (ES)
Poschmann, G. (DE)
Stühler, K. (DE)
Sinětova, Maria A. (UEK-B)
Zorina, A. (RU)
Steuer, R. (DE)
Červený, Jan (UEK-B) RID, ORCID, SAISource Title Program and Abstracts 13th Workshop on Cyanobacteria. - Boulder : Univesity of Colorado, Boulder, CO, USA, 2019 / Jianping Yu ; Cameron Jeffrey ; Dawson Carlyla
S. 98-99Number of pages 1 s. Action 13th Workshop on Cyanobacteria Event date 06.06.2019 - 09.06.2019 VEvent location Boulder Country US - United States Event type WRD Language eng - English Country US - United States Keywords cyanobacteria Annotation Despite the importance of cyanobacteria as photosynthetic model organisms and as host organisms for green biotechnology, as yet only few studies have addressed quantitative growth properties and resource allocation even for well characterized model strains. Here, 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 focused on light as the only variable environmental parameter – and identified trends in key physiological parameters, including growth rate, cell size, photosynthetic activity as well as proteome allocation as a function of growth rate. The interpretation of data was facilitated by a coarse-grained computational model of cyanobacterial resource allocation. Overall, the resulting growth laws (decrease of proteome fraction associated with light harvesting and increase of proteome fraction associated with translation with increasing light intensity and growth rate) are in good agreement with previous theoretical and experimental studies, whereas the observed invariance of the proteome fraction associated with metabolic processes differed from model predictions. Light, however, is not the only factor that affects photoautotrophic growth. Further studies are required to identify growth limitation under different environmental conditions, in particular limitations induced by other biotechnologically or environmentally relevant macro- or micronutrients. The proposed reproducible cultivation setup and the coarse-grained computational model used in this study provide a suitable framework and reference to facilitate and to contribute to such studies. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2020
Number of the records: 1