Monitoring fitness and productivity in cyanobacteria batch cultures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F21%3A00543490" target="_blank" >RIV/61388971:_____/21:00543490 - isvavai.cz</a>
Alternative codes found
RIV/86652079:_____/21:00543490
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2211926421001478?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2211926421001478?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.algal.2021.102328" target="_blank" >10.1016/j.algal.2021.102328</a>
Alternative languages
Result language
angličtina
Original language name
Monitoring fitness and productivity in cyanobacteria batch cultures
Original language description
Cyanobacteria are key photosynthetic organisms in many aquatic ecosystems and hold great potential for sustainable green biotechnology. Growth of cyanobacteria in batch cultures is expected to be part of future biotechnological practices. However, the issue of correlating the dynamics of metabolic and photosynthetic parameters with the culture fitness during batch cultivation is still outstanding. In this paper we take advantage of a photobioreactor system to continuously track growth parameters of Synechocystis sp. PCC 6803, and to couple online culture monitoring with offline measurements of photosynthetic efficiency and biochemical and elemental cell composition under several light intensity and CO2 regimes. Light intensity determines the flux of energy into the photosynthetic system while CO2 concentrations determines the ability to capture this energy in chemical form. From this perspective, four distinct source-sink regimes were established and compared, which allowed us to reveal specific strategies to acclimate to both carbon and light limitation. As part of the measurements, room temperature excitation-emission spectra and elemental composition of Synechocystis cells were, for the first time, compared throughout the exponential and linear growth phases. In total, 39 parameters (out of 170 measured) were identified as highly correlating (R2 > 0.9) with growth rate or productivity under at least one tested cultivation condition, including concentrations and ratios of pigments or particular elements. For online fitness and productivity monitoring in cyanobacteria batch cultures, parameters such as photosynthesis and respiration rates and ratios, energy-dependent non-photochemical quenching (qE) or Zn and Mo concentration in the cultivation medium can be of interest.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10606 - Microbiology
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Algal Research-Biomass Biofuels and Bioproducts
ISSN
2211-9264
e-ISSN
2211-9264
Volume of the periodical
56
Issue of the periodical within the volume
JUN
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
15
Pages from-to
102328
UT code for WoS article
000654306500008
EID of the result in the Scopus database
2-s2.0-85108537722