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CHARACTERISATION OF EVOLUTIONARY CHANGES TO STUDY AND ENGINEERING GREEN MICROALGAE
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SYSNO ASEP 0432921 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 CHARACTERISATION OF EVOLUTIONARY CHANGES TO STUDY AND ENGINEERING GREEN MICROALGAE Author(s) Búzová, D. (SK)
Nevrtalová, E. (CZ)
Zavřel, Tomáš (UEK-B) RID, SAI, ORCID
Fedorko, J. (CZ)
Segečová, A. (CZ)
Červený, Jan (UEK-B) RID, ORCID, SAINumber of pages 1 s. Action International Conference The problem of the origin of life Event date 22.09.2014-26.09.2014 VEvent location Moscow Country RU - Russian Federation Event type EUR Language eng - English Subject RIV EH - Ecology, Behaviour Institutional support RVO:67179843 - RVO:67179843 Annotation Green microalgae are among the most widely distributed microorganisms in the biosphere. They are significant contributors to global photosynthetic productivity and they are interesting for biotechnology area for their large variety of possible applications such as biofuels, cosmetics, pharmaceuticals, nutrition and food additives, aquaculture, and pollution prevention. Depending on the microalgae species, they can accumulate some compounds including a large range of chemicals and products, such as fats, polyunsaturated fatty acids, oil, natural dyes, sugars, pigments, antioxidants, high-value bioactive compounds [1]. Our aim is to understand the process of evolution and this knowledge can be used for higher compound accumulation/production of selected algae and cyanobacteria, for example higher production of astaxanthin by Haematococcus pluvialis or higher production of intracellular lipid bodies in Chlamydomonas reinhardtii. Combination several bio-imaging methods, signal processing techniques, high speed quantitative imaging cytometry, fluorescence activated cell sorting (FACS) and methods of molecular biology (highlighted characterization of whole genome and transcriptome analysis) we want to identify those candidates from populations which significant increase either in growth rate or compounds accumulation. Moreover, we would like to identify the evolutionary mechanisms related with the genome chages such as SNPs or futher mutations. Whole genome analysis is simplified by using powerfull method known as Next Generation Sequencing (NGS). We will focus on genome comparative analysis of our de novo breed strains and wild type strains so we enable to characterise evolutionary changes. These results will be useful for targeted engineering of new hyper productive strains that will increase the efficiency of biomass and other interesting compounds production in green algae. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2015
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