National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Chromatin modifications and small regulatory RNA in plant intergenerational and transgenerational stress memory: experiments in plants subjected to drought
Macek, Jan ; Holá, Dana (advisor) ; Čermák, Vojtěch (referee)
Water is important for many vital processes, and a lack of water in plants causes drought stress. In case plants survive drought, they can be better adapted for subsequent drought periods. This is defined as stress memory, which will last for a certain period after the stress ended, and can even be transmitted to offspring to help it deal with stressful environment. In such case it is called an inter- or transgenerational stress memory and is probably mediated by chromatin modifications or non-coding RNAs. In this thesis, I collected and discussed original papers dealing with the molecular basis of this phenomenon in drought-stressed plants, focusing mostly on various methodical aspects. It is evident that the maintenance of chromatin modifications across generations is quite a complex process. Currently available information is still scarce, concerns mostly DNA methylation, is incomplete and conflicting. To better understand this topic in the future, the methods of analysis of these modifications need to be adjusted (and focus also on histone modifications), the general design of the experiments has to be improved (analysed generations subjected to stress/control conditions, drought verification, number of replicates) and some factors that can affect plant stress memory should be purposefully...
Classification of Small Noncoding RNAs
Žigárdi, Tomáš ; Martínek, Tomáš (referee) ; Vogel, Ivan (advisor)
This masters's thesis contains description of designed and implemented tool for classification of plant microRNA without genome. Properties of mature and star sequences in microRNA duplexes are used. Implemented method is based on clustering of RNA sequences (with CD-HIT) to mainly reduce their count. Selected representants from each clusters are classified using support vector machine. Performance of classification is more than 96% (based on cross-validation method using the training data).
Classification of Small Noncoding RNAs
Žigárdi, Tomáš ; Martínek, Tomáš (referee) ; Vogel, Ivan (advisor)
This masters's thesis contains description of designed and implemented tool for classification of plant microRNA without genome. Properties of mature and star sequences in microRNA duplexes are used. Implemented method is based on clustering of RNA sequences (with CD-HIT) to mainly reduce their count. Selected representants from each clusters are classified using support vector machine. Performance of classification is more than 96% (based on cross-validation method using the training data).

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