Regeneration is a relatively widespread phenomenon in nature, although different organisms exhibit different abilities to reconstitute missing structures. Due to the diversity in the extent of damage the organisms can repair it has been debated for a long time whether those abilities are evolutionary traits that arose independently in multiple organisms or whether they represent a by-product of more basic processes. To date, due to constant increase in the amount of available genomic information this question can be approached by means of comparative genomics by comparing several taxa that have different regenerative capabilities. Two relatively closely related salamander species, newt, Notophthalmus viridescens, and the Mexican axolotl, Ambystoma mexicanum, offer a unique opportunity to compare two organisms with well-known regenerative capabilities. Despite their importance for regeneration research, relatively little sequence information was available until recently, owing mainly to the large sizes of the respective genomes. In this work I aimed to create a comprehensive transcriptome assembly of the axolotl by sequencing and then assembling the sequence data from a number of tissues and developmental stages. I also incorporated available sequence information that mostly comes from cDNA libraries sequenced previously. I assessed the completeness of the transcriptome by comparing it to a set of available axolotl sequences and found that 96% of those have homologs in the assembly. Additionally, I found that 7,568 of 7,695 protein families common to vertebrates are also represented in the transcriptome. In order to turn the assembly from a merely collection of sequences into a valuable and useful resource for the entire research community I first annotated the sequences, predicted the open reading frames and protein domains and additionally put together multiple bits of information available for each sequence including but not limited to time-course and tissue- specific expression data and in situ hybridization results. The assembly was thereafter made available for the entire axolotl research community through a web portal I developed. Not only does the web portal provide access to the transcriptome data, it is also equipped with an engine for automated data retrieval, which could facilitate automated cross-species bioinformatics analyses. The study crossed the boundary between pure bioinformatics and biology as the transcriptome allowed for computational comparison of the axolotl and the newt in order to identify salamander-specific genes possibly implicated in regeneration and subsequent functional analysis thereof in the lab. Since regeneration closely resembles embryonic development in terms of genes involved in both processes, I first identified approximately 200 homologous contigs in axolotl and newt, which had a predicted open reading frame, but did not have homologs in non-regenerating species. The expression profile of one of those candidate genes suggested that it had a role in regeneration. I studied the molecular function of that gene using CRISPR/Cas system to confirm that it was protein-coding and to create knock-out animals to study the effect of gene knock-down and knock-out. Knock-out animals exhibited significant delays in both, limb development and tail regeneration. The exact mechanism causing this delay is currently being investigated.

Im gleichen Maße wie informatisches Wissen mehr und mehr in den wissenschaftlichen Alltag aller Lebenswissenschaften Einzug gehalten hat, hat sich der Schwerpunkt bioinformatischer Forschung in stärker mathematisch und informatisch-orientierte Themengebiete verschoben. Bioinformatik heute ist mehr als die computergestützte Verarbeitung großer Mengen an biologischen Daten, sondern hat einen entscheidenden Fokus auf der Modellierung komplexer biologischer Systeme. Zur Anwendung kommen hierbei insbesondere Theorien aus dem Bereich der Stochastik und Statistik, des maschinellen Lernens und der theoretischen Informatik. In der vorliegenden Dissertation beschreibe ich in Fallstudien die systematische Modellierung biologischer Systeme aus einem informatisch - mathematischen Standpunkt unter Anwendung von Verfahren aus den genannten Teilbereichen und auf unterschiedlichen Ebenen biologischer Abstraktion. Ausgehend von der Sequenzinformation über Transkriptom, Metabolom und deren regulatorischer Interaktion hin zur Modellierung von Populationseffekten werden hierbei aktuelle biologische Fragestellungen mit mathematisch - informatischen Modellen und einer Vielzahl experimenteller Daten kombiniert. Ein besonderer Augenmerk liegt dabei auf dem Vorgang der Modellierung und des Modellbegriffs als solchem im Rahmen moderner bioinformatischer Forschung. Im Detail umfassen die Projekte (mehrere Publikationen) die Entwicklung eines neuen Ansatzes zur Einbettung und Visualisierung von Multiplen Sequenz- und Sequenz-Strukturalignments, illustriert am Beispiel eines Hemagglutininalignments unterschiedlicher H5N1 Varianten, sowie die Modellierung des Transkriptoms von A. thaliana, bei welchem mit Hilfe einer kernelisierten nicht-parametrischen Metaanalyse neue, an der Infektionsabwehr beteiligten, Gene ausfindig gemacht werden konnten. Desweiteren ist uns mit Hilfe unserer Software YANAsquare eine detaillierte Untersuchung des Metabolismus von L. monocytogenes unter Aktivierung des Transkriptionsfaktors prfA gelungen, dessen Vorhersagen durch experimentelle 13C Isotopologstudien belegt werden konnten. In einem Anschlußprojekt war der Zusammenhang zwischen Regulation des Metabolismus durch Regulation der Genexpression und der Fluxverteilung des metabolischen Steady- State-Netzwerks das Ziel. Die Modellierung eines komplexen organismischen Phänotyps, der Zellgrößenentwicklung der Diatomee Pseudo-nitzschia delicatissima, schließt die Untersuchungen ab. / In the same way that informatical knowledge has made its way into almost all areas of research in the Life Sciences, the focus of bioinformatical research has shifted towards topics originating more in the fields of mathematics and theoretical computer science. Bioinformatics today is more than the computer-driven processing of huge amounts of biological data, but it has a special focus on the emphmodelling of complex biological systems. Of special importance hereby are theories from stochastics and statistics, from the field of machine learning and theoretical computer science. In the following dissertation, I describe the systematic modelling of biological systems from an informatical-mathematical point of view in a case studies approach, applying methods from the aforementioned areas of research and on different levels of biological abstraction. Beginning with the sequence information itself, followed by the transcriptome, metabolome and the interaction of both and finally population effects I show how current biological questions can be tackled with mathematical models and combined with a variety of different experimental datasets. A special focus lies hereby on the procedure of modelling and the concept and notion of a model as such in the framework of bioinformatical research. In more detail, the projects contained the development of a new approach for embedding and visualizing Multiple Sequence and Structure Alignments, which was illustrated using a hemagglutinin alignment from different H5N1 variants as an example. Furthermore we investigated the A. thaliana transcriptome by means of a kernelized non-parametric meta-analysis, thus being able to annotate several new genes as pathogen-defense related. Another major part of this work was the modelling of the metabolic network of L. monocytogenes under activation of the transcription factor prfA, establishing predictions which were later verified by experimental 13C isotopologue studies. Following this project we investigated the relationship between the regulation of metabolism by changes in the cellular genexpression patterns and the flux distributions of the metabolic steady-state network. Modelling of a complex organismal property, the cell size development of the planktonic diatom Pseudo-nitzschia delicatissima concludes this work.

Die Mykorrhiza (griechisch: mýkēs für „Pilz”; rhiza für „Wurzel”) stellt eine Symbiose zwischen Pilzen und einem Großteil der Landpflanzen dar. Der Pilz verbessert durch die Symbiose die Versorgung der Pflanze mit Nährstoffen, während die Pflanze den Pilz mit Kohlenhydraten versorgt. Die arbuskuläre Mykorrhiza (AM) stellt dabei einen beson-dere Form der Mykorrhiza dar. Der AM-Pilz bildet dabei während der Symbiose die namensgebenden Arbuskeln innerhalb der Wurzelzellen als Ort des primären Nährstoff- austausches aus. Die AM-Symbiose (AMS) ist der Forschungsschwerpunkt dieser Arbeit. Als Modellorganismen wurden Medicago truncatula und Glomus intraradices verwendet. Es wurden Transkriptionsanalysen durchgeführt um u.a. AMS regulierte Transkriptions- faktoren (TFs) zu identifizieren. Die Aktivität der Promotoren von drei der so identifizier-ten AMS-regulierten TFs (MtOFTN, MtNTS, MtDES) wurde mit Hilfe eine Reportergens visualisiert. Der Bereich der größten Promotoraktivität waren in einem Fall nur die ar- buskelhaltigen Zellen (MtOFTN). Im zweiten Fall war der Promotor auch aktiv in nicht arbuskelhaltigen Zellen, jedoch am stärksten aktiv in den arbuskelhaltigen Zellen (MtNTS). Ein weiterer Promotor war in arbuskelhaltigen Zellen und den diesen benach-barten Zellen gleich aktiv (MtDES). Zusätzlich wurden weitere Gene als AMS-reguliert identifiziert und es wurde für drei dieser Gene (MtPPK, MtAmT, MtMDRL) ebenfalls eine Promotor::Reporter-Aktivitäts- studie durchgeführt. Die Promotoren der Kinase (MtPPK) und des Ammoniumtrans-porters (MtAmt) waren dabei ausschließlich in arbuskelhaltigen Zellen aktiv, während die Aktivität des ABC-Transporters (MtMDRL) keinem bestimmten Zelltyp zuzuordnen war. Für zwei weitere identifizierte Gene, ein Kupfertransporter (MtCoT) und ein Zucker- bzw. Inositoltransporter (MtSuT), wurden RNA-Interferenz (RNAi)-Untersuchungen durchgeführt. Dabei stellte sich in beiden Fällen heraus, dass, sobald ein RNAi-Effekt in den transformierten Wurzeln vorlag, diese in einem deutlich geringerem Ausmaß wie in der Wurzelkontrolle von G. intraradices kolonisiert worden sind. Im Falle von MtCoT könnte das aus dem selben Grund geschehen, wie im Falle von MtPt4. Welche Rolle MtSuT genau in der Ausbildung der AMS spielt und welche Rolle Inositol in der Aus- bildung der AMS spielt müsste durch weitere Untersuchungen am Protein untersucht werden. Weitere Untersuchen an den in dieser Arbeit als spezifisch für arbuskelhaltige Zellen gezeigten Genen MtAmT, MtPPK und MtOFTN könnten ebenfalls aufschlussreich für das weitere Verständnis der AMS sein. Dies trifft auch auf die TFs MtNTS und MtDES zu, die zwar nicht ausschließlich arbuskelspezifisch transkribiert werden, aber auch eine Rolle in der Regulation der AMS innerhalb von M. truncatula Wurzeln zu spielen scheinen. / The mycorrhiza (Greek: mýkēs for "mushroom"; rhiza for "root") is a symbiosis between fungi and the vast majority of land plants. The fungus improves the nutrient supply of the plant, while the plant provides the fungus with carbohydrates. The arbuscular my-corrhiza (AM) represents a special type of mycorrhiza. The AM forms during the sym-biosis eponymous arbuscules within the root cells as the supposed site of the major nu-trient exchange. The AM symbiosis (AMS) is the research focus of this work. Medicago truncatula and Glomus intraradices were used as model organisms. During the project several transcription analysis were performed to identify AMS re-gulated transcription factors (TFs). The activity of the promoters of three of the identified AMS regulated TFs (MtOFTN, MtNTS, MtDES) were visualised using a reporter gene. Cells with promoter activity were in one case the arbuscle containing cells (MtOFTN). In the another case, the promoter was also weakly active in non arbuscle containing cells, however the major site of activity were the arbuscle containing cells (MtNTS). Another promoter was active in arbuscle containing and adjacent cells (MtDES). In addition, other genes were identified as AMS regulated and for three of these genes (MtPPK, MtAmT, MtMDRL) a promoter::reporter activity study was conducted, too. The promoters of the kinase (MtPPK) and the ammonium transporter (MtAmT) were active exclusively in arbuscle containing cells, whereas the activity of the ABC-transporter (MtMDRL) could not be assigned to a specific cell type. For two other identified genes (a copper transporter (MtCoT) and a sugar/ inositol transporter (MtSuT)) RNA-interference (RNAi) studies were carried out. The studies revealed in both cases that, once an RNAi effect was present in the transformed roots, the roots were colonised by G. intraradices in a much lesser extent as in the vector-control. In the case of MtCoT it maybe has the same basic principle as in the case of the phosphate transporter MtPt4. Which role MtSuT and inositol plays during the fo-rmation of the AMS has to be reviewed. Further examinations on the genes MtAmT, MtPPK and MtOFTN could also be reveal-ing for the understanding of the AMS, as their promotors, as shown in this thesis, are exclusively active in arbuscle containing cells The same can be said for the TFs MtNFTS and MtDES. They are not exclusively transcripted in arbuscle containing cells, but nevertheless seem to play a role in the formation of the AMS within M. truncatula roots.

Die Bildung neuen Nervenzellen im erwachsenen Gehirn—adulte Neurogenese—ist bei Säugetieren auf spezifische Regionen beschränkt. Eine der beiden bekannten ist der Hippokampus, eine Gehirnstruktur, die eine wichtige Rolle beim Lernen sowie der Gedächtnisbildung spielt. Ein Reservoir von neuralen Stammzellen befindet sich in der subgranulären Zone des hippokampalen Gyrus dentatus. Diese Zellen teilen sich fortwährend und bilden neue Nervenzellen. Die Regulation adulter hippokampaler Neurogenese wird sowohl von der Umgebung beeinflusst als auch von mehreren Genen gesteuert. In der vorliegenden Arbeit wurden mittels Hochdurchsatz- Genexpressionsverfahren die an der Neurogenese beteiligten Gene identifiziert und ihr Zusammenspiel untersucht. Anhand von genetischen, umgebungsbedingten und zeitlichen Angaben und Variationen wurde ein vielseitiger Datensatz erstellt, der einen multidimensionalen Blick auf den proliferativen Phänotyp verschafft. Netzwerke aus Gen-Gen und Gen-Phänotyp Interaktionen wurden beschrieben und in einer mehrschichtigen Ressource zusammengefasst. Ein Kern-Netzwerk bestehend aus immerwiederkehrenden Modulen aus verschiedenen Ebenen wurde anhand von Proliferation als Keim-Phänotyp identifiziert. Aus diesem Kern-Netzwerk sind neue Gene und ihre Interaktionen hervorgegangen, die potentiell bei der Regulierung adulter Neurogenesis beteiligt sind. / Neurogenesis, the production of new neurons, is restricted in the adult brain of mammals to only a few regions. One of these sites of adult neurogenesis is the hippocampus, a structure essential for many types of learning. A pool of stem cells is maintained in the subgranular zone of the hippocampal dentate gyrus which proliferate and can differentiate into new neurons, astrocytes and oligodendroctytes. Regulation of adult hippocampal neurogenesis occurs in response to en- vironmental stimuli and is under the control of many genes. This work employs high-throughput gene expression technologies to identify these genes and their interactions with each other and the neurogenesis phenotype. Harnessing variation from genetic, environmental and temporal sources, a multi-faceted dataset has been generated which offers a multidimensional view of the neural precursor proliferation phenotype. Networks of gene-gene and gene-phenotype interac- tions have been described and merged into a multilayer resource. A core subnetwork derived from modules recurring in the different layers has been identified using the proliferation phenotype as a seed. This subnetwork has suggested novel genes and interactions potentially involved in the regulation of adult hippocampal neurogenesis.

Screening of a deeply sequenced transcriptome using Illumina sequencing as well as the genome of the tardigrade Hypsibius dujardini revealed a set of five opsin genes. To clarify the phylogenetic position of these genes and to elucidate the evolutionary history of opsins in Panarthropoda (Onychophora + Tardigrada + Arthropoda), we reconstructed the phylogeny of broadly sampled metazoan opsin genes using maximum likelihood and Bayesian inference methods in conjunction with carefully selected substitution models. According to our findings, the opsin repertoire of H. dujardini comprises representatives of all three major bilaterian opsin clades, including one r-opsin, three c-opsins, and a Group 4 opsin (neuropsin/opsin-5). The identification of the tardigrade ortholog of neuropsin/opsin-5 is the first record of this opsin type in a protostome, but our screening of available metazoan genomes revealed that it is also present in other protostomes. Our opsin phylogeny further suggests that two r-opsins, including an "arthropsin", were present in the last common ancestor of Panarthropoda. While both r-opsin lineages were retained in Onychophora and Arthropoda, the "arthropsin" was lost in Tardigrada. The single (most likely visual) r-opsin found in H. dujardini supports the hypothesis of monochromatic vision in the panarthropod ancestor, whereas two duplications of the ancestral panarthropod c-opsin have led to three c-opsins in tardigrades. Although the early-branching nodes are unstable within the metazoans, our findings suggest that the last common ancestor of Bilateria possessed six opsins: two r-opsins, one c-opsin, and three Group 4 opsins, one of which (Go opsin) was lost in the ecdysozoan lineage.

The detection of non-protein-coding RNA (ncRNA) genes in bacteria and their diverse regulatory mode of action moved the experimental and bio-computational analysis of ncRNAs into the focus of attention. Regulatory ncRNA transcripts are not translated to proteins but function directly on the RNA level. These typically small RNAs have been found to be involved in diverse processes such as (post-)transcriptional regulation and modification, translation, protein translocation, protein degradation and sequestration. Bacterial ncRNAs either arise from independent primary transcripts or their mature sequence is generated via processing from a precursor. Besides these autonomous transcripts, RNA regulators (e.g. riboswitches and RNA thermometers) also form chimera with protein-coding sequences. These structured regulatory elements are encoded within the messenger RNA and directly regulate the expression of their “host” gene. The quality and completeness of genome annotation is essential for all subsequent analyses. In contrast to protein-coding genes ncRNAs lack clear statistical signals on the sequence level. Thus, sophisticated tools have been developed to automatically identify ncRNA genes. Unfortunately, these tools are not part of generic genome annotation pipelines and therefore computational searches for known ncRNA genes are the starting point of each study. Moreover, prokaryotic genome annotation lacks essential features of protein-coding genes. Many known ncRNAs regulate translation via base-pairing to the 5’ UTR (untranslated region) of mRNA transcripts. Eukaryotic 5’ UTRs have been routinely annotated by sequencing of ESTs (expressed sequence tags) for more than a decade. Only recently, experimental setups have been developed to systematically identify these elements on a genome-wide scale in prokaryotes. The first part of this thesis, describes three experimental surveys of exploratory field studies to analyze transcript organization in pathogenic bacteria. To identify ncRNAs in Pseudomonas aeruginosa we used a combination of an experimental RNomics approach and ncRNA prediction. Besides already known ncRNAs we identified and validated the expression of six novel RNA genes. Global detection of transcripts by next generation RNA sequencing techniques unraveled an unexpectedly complex transcript organization in many bacteria. These ultra high-throughput methods give us the appealing opportunity to analyze the complete RNA output of any species at once. The development of the differential RNA sequencing (dRNA-seq) approach enabled us to analyze the primary transcriptome of Helicobacter pylori and Xanthomonas campestris. For the first time we generated a comprehensive and precise transcription start site (TSS) map for both species and provide a general framework for the analysis of dRNA-seq data. Focusing on computer-aided analysis we developed new tools to annotate TSS, detect small protein-coding genes and to infer homology of newly detected transcripts. We discovered hundreds of TSS in intergenic regions, upstream of protein-coding genes, within operons and antisense to annotated genes. Analysis of 5’ UTRs (spanning from the TSS to the start codon of the adjacent protein-coding gene) revealed an unexpected size diversity ranging from zero to several hundred nucleotides. We identified and validated the expression of about 60 and about 20 ncRNA candidates in Helicobacter and Xanthomonas, respectively. Among these ncRNA candidates we found several small protein-coding genes that have previously evaded annotation in both species. We showed that the combination of dRNA-seq and computational analysis is a powerful method to examine prokaryotic transcriptomes. Experimental setups are time consuming and often combined with huge costs. Another limitation of experimental approaches is that genes which are expressed in specific developmental stages or stress conditions are likely to be missed. Bioinformatic tools build an alternative to overcome such restraints. General approaches usually depend on comparative genomic data and evolutionary signatures are used to analyze the (non-)coding potential of multiple sequence alignments. In the second part of my thesis we present our major update of the widely used ncRNA gene finder RNAz and introduce RNAcode, an efficient tool to asses local protein-coding potential of genomic regions. RNAz has been successfully used to identify structured RNA elements in all domains of life. However, our own experience and the user feedback not only demonstrated the applicability of the RNAz approach, but also helped us to identify limitations of the current implementation. Using a much larger training set and a new classification model we significantly improved the prediction accuracy of RNAz. During transcriptome analysis we repeatedly identified small protein-coding genes that have not been annotated so far. Only a few of those genes are known to date and standard proteincoding gene finding tools suffer from the lack of training data. To avoid an excess of false positive predictions, gene finding software is usually run with an arbitrary cutoff of 40-50 amino acids and therefore misses the small sized protein-coding genes. We have implemented RNAcode which is optimized for emerging applications not covered by standard protein-coding gene annotation software. In addition to complementing classical protein gene annotation, a major field of application of RNAcode is the functional classification of transcribed regions. RNA sequencing analyses are likely to falsely report transcript fragments (e.g. mRNA degradation products) as non-coding. Hence, an evaluation of the protein-coding potential of these fragments is an essential task. RNAcode reports local regions of high coding potential instead of complete protein-coding genes. A training on known protein-coding sequences is not necessary and RNAcode can therefore be applied to any species. We showed this with our analysis of the Escherichia coli genome where the current annotation could be accurately reproduced. We furthermore identified novel small protein-coding genes with RNAcode in this extensively studied genome. Using transcriptome and proteome data we found compelling evidence that several of the identified candidates are bona fide proteins. In summary, this thesis clearly demonstrates that bioinformatic methods are mandatory to analyze the huge amount of transcriptome data and to identify novel (non-)coding RNA genes. With the major update of RNAz and the implementation of RNAcode we contributed to complete the repertoire of gene finding software which will help to unearth hidden treasures of the RNA World.

This thesis was focused on the identification and characterization of the salivary proteins from Ixodes ricinus, the European vector of Lyme disease and tick-borne encephalitis causative agents. In the first part of this work, the the transcriptomic approach was used in order to identify and describe I. ricinus salivary proteins. The second part is dealing with functional and structural characterization of the salivary protein named IRS-2 (I. ricinus serpin-2).

The study of arbuscular mycorrhizal symbiosis (AMS) - the mutualist relationship between the most of land plants and evolutionary old fungal group Glomeromycota - is becoming a prestigious topic. The prevalence of and extent of physiological action of AMS on plants is very interesting for the plant biology itself, but its importance grows, notably in time of global climate change, frequent soil degradation and ascending exhaustion of mineral fertilizer reserves. Although the flows in AMS of some minerals, like of phosphorus was enlightened, carbon exchange between the symbionts is still poorly understood. In this experimental work, I utilized the boom of molecular and bioinformatic methods in the quest for completely unexplained carbon flows. The organisms used include barrel medic (Medicago truncatula), the model legume for symbiotic relationships, biotic, and abiotic stresses; Rhizophagus irregularis, the widely used fungus for such experimental studies of AMS; and Sinorhizobium meliloti, the nodulating nitrogen-fixing bacterium compatible with the barrel medic. Two variants - mycorrhizal (M+) and non-mycorrhizal (NM) plants were subjected to several levels of analysis. I have checked the variants, did the measurements of phosphorus and nitrogen contents, as well as I probed the plants with...

Diplomová práce se zabývá studiem genové regulace v Clostridium beijerinckii NRRL B-598, pro následné odvození genové regulační sítě bakterie C. beijerinckii NRRL B-598. V teoretické části této práce je uvedena obecná nomenklatura problematiky genové regulace se zaměřením na nomenklaturu genových regulačních sítí. Následně jsou zde popsané laboratorní metody, sloužící pro získání vhodných dat popisující expresi genů. Tato data jsou základem pro studium genové regulace a návrhy genových regulačních sítí. Práce se zaměřuje především na technologii RNA-Seq a stručný popis laboratorních dat získaných ze zmíněné bakterie C. beijerinckii NRRL B-598. V praktické části se práce zabývá předzpracováním těchto surových laboratorních dat a následným studiem genové regulace se zaměřením na odvození operonů a vytvoření prvních genových regulačních sítí pomocí různých přístupů pro C. beijerinckii NRRL B-598.

Endosymbiotic gain and transfer of plastids is a widespread evolutionary phenomenon and a major driving force of eukaryotic evolution. The integration of a new organelle is accompanied by changes in its structure, gene content, molecular mechanisms for biogenesis and transport, and re-wiring of the host and organelle metabolic pathways. To understand the course and underlying mechanisms of plastid evolution, it is important to study these processes in variety of secondary algae and notice their differences and similarities. Euglenophytes gained their plastids from green eukaryotic algae after a long history of heterotrophic lifestyle. In my thesis, I participated in analyses of newly generated sequence datasets: transcriptomes of Euglena gracilis and Euglena longa and mass spectrometry-determined proteome of E. gracilis plastid with especial regard to the potential novelties associated with plastid gain and incorporation. In the resulting publications we particularly focus on plastid protein import machinery and targeting signals and report extremely reduced TIC and completely absent TOC in euglenophyte plastid. Using the proteomic dataset, we predict potential novel plastid protein translocases recruited from ER/Golgi and re-analyze plastid signal domains, characterizing previously overlooked...