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Cyanobacteria: From Basic Science to Applications
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SYSNO ASEP 0497586 Document Type M - Monograph Chapter R&D Document Type Monograph Chapter Title Influence of circadian clocks on optimal regime of central C-N metabolism of cyanobacteria Author(s) Červený, Jan (UEK-B) RID, ORCID, SAI
Šalagovič, J. (SK)
Muzika, F. (CZ)
Šafránek, D. (CZ)Source Title Cyanobacteria: From Basic Science to Applications. - London : Elsevier, 2019 / Mishra A. K. ; Tiwari D. N. ; Rai A. N. - ISBN 978-0-12-814667-5 Pages s. 193-206 Number of pages 9 s. Number of pages 541 Publication form Print - P Language eng - English Country GB - United Kingdom Keywords computational modeling ; bioreactor ; formal methods ; industry 4.0 ; microalgae ; network analysis ; optimization ; process control Subject RIV EA - Cell Biology OECD category Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology R&D Projects GA15-17367S GA ČR - Czech Science Foundation (CSF) LM2015055 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UEK-B - RVO:86652079 UT WOS 000509547100010 DOI 10.1016/B978-0-12-814667-5.00009-X Annotation Mechanistic aspects of cyanobacteria clock and metabolism have been analyzed in considerable detail during recent decades, but only limited knowledge is available about particular link(s) between the clock and controlled metabolic processes. We describe a case study where we couple a mechanistic model of a circadian oscillator with a model of central carbon-nitrogen metabolism and apply formal methods based on temporal logic and bifurcation analysis to examine response of the metabolic part of the combined model to the autonomous clock oscillations. The analysis identified a set of parametric groups that, when applied to the in silico system, lead either to an optimal configuration of metabolic pathways for most efficient rhythmic function of the metabolism or to (oscillatory) system death. Under controlled conditions in monitored environments, such as cultivation in photobioreactors, the knowledge can be used for optimal regulation of production capacity that would reflect dynamic constraints of real world systems. 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