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Jak rostliny vnímají chlad: omická analýza
Karšulinová, Daniela
Plants of temperate zones have developed a sophisticated mechanism that helps them cope with freezing conditions. This process is called cold acclimation. From an agronomical point of view, comprehending this process is necessary to ensure crop yield and quality. This thesis entitled: "Jak rostliny vnímají chlad: omická analýza" describes the molecular mechanism behind the cold acclimation process, specifically the role of light and selected photoreceptors in this process. In the experimental part of the thesis, a mutant line (UVR8 line12-monomer) of model organism Arabidopsis thaliana, which has a partially activated signaling of the UV-B, and the control line (Ws-4) were used. These lines were exposed to cold and UV-B radiation to further study the interaction of the cold signaling pathway and UV-B radiation signaling. LC-MS profiling identified more than 6000 proteins, of which 3472 significantly changed their abundance. Moreover, lipidome analysis was performed using TLC Proteomic analysis revealed an increased abundance of proteins involved in biosynthesis of jasmonic acid. Based on this, a validation experiment with exogenous application of methyl jasmonic acid was performed.
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A transcriptomic-based comparison of barley cultivars differing with respect to their low temperature acclimation capacity
Janská, Anna ; Ovesná, Jaroslava (advisor) ; Vaňková, Radomíra (referee) ; Honys, David (referee)
The PhD thesis is focused on a transcriptomics-based comparison of barley cultivars differing with respect to their low temperature acclimation capacity, with a particular focus on genes transcribed in the leaf and crown. The crown was of interest because of its importance for the winter survival of the plant. To involve both the first and the second phase of hardening, the test plants were exposed first to +3řC for 21 days, followed by - 3řC for one day. Freezing damage was assessed by measuring electrolyte leakage (Papers 2 and 3), using a modified version of a protocol developed by Prášil and Zámečník (1998). The same protocol was adapted to evaluate crown regrowth (Paper 2); for this purpose, the plants were cooled, then replanted and cut above the crown, and their survival rate calculated over the following week. Each RNA sample was queried by hybridization to an Affymetrix 22 K Barley1 GeneChip Genome Array (Close et al. 2004). The data were statistically analysed with the help of the software packages R, MAS 5.0 (Ihaka & Gentleman 1996) (Papers 2 and 3), Gene Spring GX 7.3 (Agilent Technologies, Santa Clara CA) and MapMan (Thimm et al. 2004; Usadel et al. 2005) (Paper 2), the "Self-Organizing Maps" algorithm (Kohonen et al. 1996) (Paper 3) and MIPS FunCat (Ruepp et al. 2004) (Paper 2). Paper...
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A transcriptomic-based comparison of barley cultivars differing with respect to their low temperature acclimation capacity
Janská, Anna ; Ovesná, Jaroslava (advisor) ; Vaňková, Radomíra (referee) ; Honys, David (referee)
The PhD thesis is focused on a transcriptomics-based comparison of barley cultivars differing with respect to their low temperature acclimation capacity, with a particular focus on genes transcribed in the leaf and crown. The crown was of interest because of its importance for the winter survival of the plant. To involve both the first and the second phase of hardening, the test plants were exposed first to +3řC for 21 days, followed by - 3řC for one day. Freezing damage was assessed by measuring electrolyte leakage (Papers 2 and 3), using a modified version of a protocol developed by Prášil and Zámečník (1998). The same protocol was adapted to evaluate crown regrowth (Paper 2); for this purpose, the plants were cooled, then replanted and cut above the crown, and their survival rate calculated over the following week. Each RNA sample was queried by hybridization to an Affymetrix 22 K Barley1 GeneChip Genome Array (Close et al. 2004). The data were statistically analysed with the help of the software packages R, MAS 5.0 (Ihaka & Gentleman 1996) (Papers 2 and 3), Gene Spring GX 7.3 (Agilent Technologies, Santa Clara CA) and MapMan (Thimm et al. 2004; Usadel et al. 2005) (Paper 2), the "Self-Organizing Maps" algorithm (Kohonen et al. 1996) (Paper 3) and MIPS FunCat (Ruepp et al. 2004) (Paper 2). Paper...
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