V. Domain of Adaptive and Innovative Techniques


"Our goal is to develop innovative biotechnological solutions using microalgae as effective cell factories that could be incorporated into our community actions and allow sustainable development and prosperity of humankind that would not compromise the Earth’s resources."

Domain of Adaptive and Innovative Techniques focuses on development of methods and technologies for intensive cultivation and research of photosynthetic microorganisms. We pursue detailed characterization of investigated biological systems under wide range of culturing conditions, including natural conditions, predictive scenarios and conditions simulating harsh environments of industrial processes. Within activities of this Domain we aim at both basic and applied research with tight connection to industrial partners via practical applicability of achieved results.

During past years the main objective was to create an infrastructure that would support the utilization of photosynthetic microorganisms’ (i.e. algae and cyanobacteria) in real biotechnological applications. Such infrastructure provides an excellent tool for advanced investigation of photosynthetic microorganisms' capacity to capture atmospheric carbon dioxide or carbon dioxide emitted in industrial processes, as well as for investigation of their capacity to produce next-generation biofuels and valuable biological substances, such as carotenoids, unsaturated fatty acids or various proteins.


  • Innovations for mitigation of global change impacts; project OP VaVpI „CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies“; Ministry of Education, Youth and Sports
  • Providing expert know-how and services in Systems Biology; project OP VaVaI „C4Sys - Center for Systems Biology“; Ministry of Education, Youth and Sports
  • Investigation on dynamics of complex reaction networks in enzyme reactors and photobioreactors; Czech Science Foundation
  • Investigation on constrained analysis of reaction networks as a tool for experimental validation of models of biochemical and photobiological reactors; Czech Science Foundation
  • Epigenetics approaches in hepatocellular carcinoma; Czech health research council

Dr. Jan Červený

Scientific secretary
Petra Literáková

Drásov 470, 66424 Drásov

It includes:
Department of Adaptive Biotechnologies
Experimental High-Performance Photobioreactor

Department of Adaptive Biotechnologies

Červený Jan, Dr. - head

Scientists :
Búzová Diana, Dr., Ph.D.
Masuda-Enoki Takako, M.Sc., Ph.D.
Roitsch Thomas, Prof., Dr.
Zavřel Tomáš, Dr.

Ph.D. students :
Chmelík Dominik, Mgr.
Fedorko Jan, Mgr.
Literáková Petra, Mgr.
Segečová Anna, Mgr.
Zlámal Tomáš, Mgr.

Others :
Jedličková Iveta
Svobodová Kateřina, Ing., Ph.D.



"Our goal is to develop innovative biotechnological solutions using microalgae as effective cell factories that could be incorporated into our community actions and allow sustainable development and prosperity of humankind that would not compromise the Earth’s resources."

In Department of Adaptive Biotechnologies we combine advanced experimental methods and systems biology approaches to research photosynthetic microorganisms and their interactions with environment. The aim of department activities is to search for microorganisms that have metabolic pathways leading to production or even secretion of energy-rich valuable biocompounds and substances, that are ideally genetically transformable. This requires proper selection and management of cultivation technology that allows long-term viable culturing. We are developing platforms and methods for characterization and optimization of photosynthetic microorganisms in simulated (aquatic) environment of photobioreactors that allows to explore perspective of selected microorganisms for use in biotechnologies. In particular, we focus on investigation of their primary production and carbon sequestration capacity, investigation of stress and adaptation mechanisms, and other physiological and biochemical properties. Essential part of the platform is fluorescence activated cell sorting that extends the capacity of the platform towards genetic evolution (or breeding) of various microorganisms. Methods and protocols for fluorescence staining specific for light sensitive photosynthetic microorganisms are designed with respect to staining limitations (extracellular polysaccharides formation, membrane/ cell wall permeability, etc.). The methods and protocols allow routine analyses such as quantification of cell morphological properties, quantification of physiological parameters like cell viability and DNA topology, and identification of lipid droplets formation. All data generated using these methods contain single cell level information from statistically significant sample of thousands cells per sample.

To extend our understanding of dynamic behavior of complex biological systems (in this case represented by photosynthetic microorganisms) are developing web-based platform for modeling of photosynthetic processes (www.e-photosynthesis.org and www.e-cyanobacterium.org ) in collaboration with Systems Biology Laboratory, Masaryk University in Brno led by Dr. David Safránek. The platform provides an easy and intuitive navigation through the structure of photosynthetic system, storage and presentation of wet-lab experiments, and unified representation of related biological networks. The platform serves as both educational and research oriented tool.

As a part of the above mentioned research activities we established collection of characterized photosynthetic microorganisms for biotechnological applications, suitable for both basic and applied research.

Department main activities are:

  • We provide special services within activities of the Center for Systems Biology (C4Sys) project
  • Establishment of biotechnologically interesting strains collection
  • Development of methods for characterization and effective optimization of production and adaptive properties
  • Development and design of technological solutions for viable microalgal biotechnologies
  • Development of reference experimental platform for validation experiments
  • Development of computational platform for predictive experiments (in silico)
  • High-throughput fluorescence microscopic single cell level analyses of photosynthetic cultures
  • Detailed physiological characterization of photosynthetic microorganisms in a series of laboratory scale photobioreactors with high precision control of its environment
  • Optimization of production conditions reflecting limitations of real (large scale/industrial) cultivations
  • Sorting of mixed populations and selection of subpopulations with "on demand" properties
  • Application of selective (evolutionary) pressure on different types of microalgae for both increased adaptivity to unnatural conditions and production capacity

Developed applications:

Highlited publications:

  • Effect of carbon limitation on photosynthetic electron transport in Nannochloropsis oculata
    Zavřel T, Szabó M, Tamburic B, Evenhuis C, Kuzhiumparambil U, Literáková PČervený J, Ralph PJ
    2018. J Photochem Photobiol B 181: 31–43.
  • Phenotypic characterization of Synechocystis sp . PCC 6803 substrains reveals differences in sensitivity to abiotic stress
    Zavřel T, Očenášová P, Červený J
    2017. PLoS One 12(12): 1-21
  • E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria
    Troják M, Šafránek D, Hrabec J, Šalagovič J, Romanovská F, Červený J
    2016. In: Computational Methods in Systems Biology, Springer, pp 316–322
  • A quantitative evaluation of ethylene production in the recombinant cyanobacterium Synechocystis sp. PCC 6803 harboring the ethylene-forming enzyme by membrane inlet mass spectrometry
    Zavřel T, Knoop H, Steuer R, Jones PR, Červený J, Trtílek M
    2016. Bioresour Technol 202: 142–151
  • Mechanisms of high temperature resistance of Synechocystis sp. PCC 6803: an impact of histidine kinase 34
    Červený J, Sinetova MA, Zavřel T, Los DA
    2015. Life 5(1): 676–699
  • Characterization of a model cyanobacterium Synechocystis sp. PCC 6803 autotrophic growth in a flat-panel photobioreactor
    Zavřel T, Sinetová MA, Búzová D, Literáková P, Červený J
    2015. Eng Life Sci 15: 122 – 132
  • Biochemical Space: A Framework for Systemic Annotation of Biological Models
    Klement M, Děd T, Šafránek D, Červený J, Müller S, Steuer R
    2014. Electron Notes Theor Comput Sci 306: 31–44
  • Ultradian metabolic rhythm in the diazotrophic cyanobacterium Cyanothece sp. ATCC 51142
    Červený J, Sinetova MA, Valledor L, Sherman LA, Nedbal L
    2013. Proc Natl Acad Sci USA 110: 13210–13215

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Experimental High-Performance Photobioreactor

Sukačová Kateřina, RNDr. - head

Scientists :
Vícha Daniel, Ing.

Others :
Muselíková Kateřina, Bc.


To address challenges of production and aquatic systems monitoring on large scale/industrial level we focus on characterization and optimization of microalgae cultivations in experimental large scale photobioreactor. The experimental large scale photobioreactor consists of two inoculation units (flat panel photobioreactor-volume 25L and 120 L) and three types/different designs of large scale units (tubular, spiral and 3D photobioreactors). Photobioreactors are operated together with fully automatic media mixing and harvesting units.

Additional research activity linked to aquatic systems research is evaluation of microalgae potential for use in wastewater treatment applications. Selected algal species with predicted potential of nutrient remediation in wastewater treatment processes were isolated from different natural locations. Several microalgal and cyanobacterial species were immobilized to form algal biofilm. The algal biofilm is cultivated on different artificial and natural substrates to choose and design optimal surface for algal biofilm cultivation

For these purposes, the following are being designed, developed and tested in operation:

a) High-performance photobioreactor for the simulation and study of the industrial potential of selected organisms, and

b) Supporting system for work with autotrophic microorganisms.