Systems biology approaches for advancing biotechnology of microalgae

0498285 - ÚVGZ 2019 RIV US eng A - Abstrakt
Červený, Jan - Schreiber, I. - Šafránek, D.
Systems biology approaches for advancing biotechnology of microalgae.
Basic & Clinical Pharmacology & Toxicology. Wiley. Roč. 124, č. 1 (2018), s. 8-8. ISSN 1742-7835. E-ISSN 1742-7843.
[International Conference on Biotechnology and Bioengineering. 24.12.2018-26.12.2018, Budapešť]
Institucionální podpora: RVO:86652079
Klíčová slova: phenotypization * microalgae * biotechnology * systems biology * modeling * online tools
Obor OECD: Environmental biotechnology

For sustainable development and prosperity of humankind that would not compromise the Earth's resources and would meet today's energy, food and environmental needs we have to develop innovative biotechnological solutions that are incorporated into our community actions and reflections. Such innovations are usually perceived as enhancement in agricultural productivity or protection, ways to diminish the use of pesticides, reduction of greenhouse gas emissions, creation of an innovative disease therapy etc. Here, we focus on microalgal cell factories used as a chassis for innovative biotechnological solutions. Microalgae have evolved and developed adaptation mechanisms to profit in wide range of ecological niches that are usually not optimized for production of value‐added compounds or to act as mitigation agents even though they often have such capacity. To overcome these limitations dictated by natural genetic optimization during long process of evolution it is necessary to identify ways to improve their capacity to produce value‐added compounds or perform desired functions. To enhance our understanding of dynamic
behavior and molecular mechanisms of complex biological systems, we have developed experimental platform for detailed characterization, phenotypization and optimization of the investigated biological systems under a wide range
of conditions—including natural conditions, future scenarios and conditions simulating flue outputs of industrial processes and environments. Further, we are applying computational science and technology, and developing web
platform for modeling and analysis of large and complex photosynthetic dynamical systems. The web platform provides easy and intuitive navigation through the structure of photosynthetic systems, storage and presentation of wet‐lab experiments and unified representation of related biological networks. Perspectives of using these platforms for design of adaptive strategies and technological solutions supporting sustainable use of resources and strains engineering with particular focus on the area of technologies that aim to reduce and mitigate global change impact are outlined.
Trvalý link: http://hdl.handle.net/11104/0290674