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Schriftenreihe
Sonstige beteiligte Institutionen
- Helmholtz Institute for RNA-based Infection Research (HIRI) (8)
- Fraunhofer-Institut für Silicatforschung ISC (5)
- Technische Hochschule Nürnberg Georg Simon Ohm (3)
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ResearcherID
- B-1911-2015 (1)
- B-4606-2017 (1)
- C-2593-2016 (1)
- D-1250-2010 (1)
- I-5818-2014 (1)
- J-8841-2015 (1)
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- N-3741-2015 (1)
EU-Project number / Contract (GA) number
- 311781 (1)
- 320377 (1)
- EU (FP7/ 2007-2013) (1)
The investigation of the Earth system and interplays between its components is of utmost importance to enhance the understanding of the impacts of global climate change on the Earth's land surface. In this context, Earth observation (EO) provides valuable long-term records covering an abundance of land surface variables and, thus, allowing for large-scale analyses to quantify and analyze land surface dynamics across various Earth system components. In view of this, the geographical entity of river basins was identified as particularly suitable for multivariate time series analyses of the land surface, as they naturally cover diverse spheres of the Earth. Many remote sensing missions with different characteristics are available to monitor and characterize the land surface. Yet, only a few spaceborne remote sensing missions enable the generation of spatio-temporally consistent time series with equidistant observations over large areas, such as the MODIS instrument.
In order to summarize available remote sensing-based analyses of land surface dynamics in large river basins, a detailed literature review of 287 studies was performed and several research gaps were identified. In this regard, it was found that studies rarely analyzed an entire river basin, but rather focused on study areas at subbasin or regional scale. In addition, it was found that transboundary river basins remained understudied and that studies largely focused on selected riparian countries. Moreover, the analysis of environmental change was generally conducted using a single EO-based land surface variable, whereas a joint exploration of multivariate land surface variables across spheres was found to be rarely performed.
To address these research gaps, a methodological framework enabling (1) the preprocessing and harmonization of multi-source time series as well as (2) the statistical analysis of a multivariate feature space was required. For development and testing of a methodological framework that is transferable in space and time, the transboundary river basins Indus, Ganges, Brahmaputra, and Meghna (IGBM) in South Asia were selected as study area, having a size equivalent to around eight times the size of Germany. These basins largely depend on water resources from monsoon rainfall and High Mountain Asia which holds the largest ice mass outside the polar regions. In total, over 1.1 billion people live in this region and in parts largely depend on these water resources which are indispensable for the world's largest connected irrigated croplands and further domestic needs as well. With highly heterogeneous geographical settings, these river basins allow for a detailed analysis of the interplays between multiple spheres, including the anthroposphere, biosphere, cryosphere, hydrosphere, lithosphere, and atmosphere.
In this thesis, land surface dynamics over the last two decades (December 2002 - November 2020) were analyzed using EO time series on vegetation condition, surface water area, and snow cover area being based on MODIS imagery, the DLR Global WaterPack and JRC Global Surface Water Layer, as well as the DLR Global SnowPack, respectively. These data were evaluated in combination with further climatic, hydrological, and anthropogenic variables to estimate their influence on the three EO land surface variables. The preprocessing and harmonization of the time series was conducted using the implemented framework. The resulting harmonized feature space was used to quantify and analyze land surface dynamics by means of several statistical time series analysis techniques which were integrated into the framework. In detail, these methods involved (1) the calculation of trends using the Mann-Kendall test in association with the Theil-Sen slope estimator, (2) the estimation of changes in phenological metrics using the Timesat tool, (3) the evaluation of driving variables using the causal discovery approach Peter and Clark Momentary Conditional Independence (PCMCI), and (4) additional correlation tests to analyze the human influence on vegetation condition and surface water area.
These analyses were performed at annual and seasonal temporal scale and for diverse spatial units, including grids, river basins and subbasins, land cover and land use classes, as well as elevation-dependent zones. The trend analyses of vegetation condition mostly revealed significant positive trends. Irrigated and rainfed croplands were found to contribute most to these trends. The trend magnitudes were particularly high in arid and semi-arid regions. Considering surface water area, significant positive trends were obtained at annual scale. At grid scale, regional and seasonal clusters with significant negative trends were found as well. Trends for snow cover area mostly remained stable at annual scale, but significant negative trends were observed in parts of the river basins during distinct seasons. Negative trends were also found for the elevation-dependent zones, particularly at high altitudes. Also, retreats in the seasonal duration of snow cover area were found in parts of the river basins. Furthermore, for the first time, the application of the causal discovery algorithm on a multivariate feature space at seasonal temporal scale revealed direct and indirect links between EO land surface variables and respective drivers. In general, vegetation was constrained by water availability, surface water area was largely influenced by river discharge and indirectly by precipitation, and snow cover area was largely controlled by precipitation and temperature with spatial and temporal variations. Additional analyses pointed towards positive human influences on increasing trends in vegetation greenness. The investigation of trends and interplays across spheres provided new and valuable insights into the past state and the evolution of the land surface as well as on relevant climatic and hydrological driving variables. Besides the investigated river basins in South Asia, these findings are of great value also for other river basins and geographical regions.
Breaking inversion symmetry in crystalline solids enables the formation of spin-polarized electronic states by spin-orbit coupling without the need for magnetism. A variety of interesting physical phenomena related to this effect have been intensively investigated in recent years, including the Rashba effect, topological insulators and Weyl semimetals. In this work, the interplay of inversion symmetry breaking and spin-orbit coupling and, in particular their general influence on the character of electronic states, i.e., on the spin and orbital degrees of freedom, is investigated experimentally. Two different types of suitable model systems are studied: two-dimensional surface states for which the Rashba effect arises from the inherently broken inversion symmetry at the surface, and a Weyl semimetal, for which inversion symmetry is broken in the three-dimensional crystal structure. Angle-resolved photoelectron spectroscopy provides momentum-resolved access to the spin polarization and the orbital composition of electronic states by means of photoelectron spin detection and dichroism with polarized light. The experimental results shown in this work are also complemented and supported by ab-initio density functional theory calculations and simple model considerations.
Altogether, it is shown that the breaking of inversion symmetry has a decisive influence on the Bloch wave function, namely, the formation of an orbital angular momentum. This mechanism is, in turn, of fundamental importance both for the physics of the surface Rashba effect and the topology of the Weyl semimetal TaAs.
Background: There is extensive evidence that explicit memory, which involves conscious recall of encoded information, can be modulated by emotions; emotions may influence encoding, consolidation or retrieval of information. However, less is known about the modulatory effects of emotions on procedural processes like motor memory, which do not depend upon conscious recall and are instead demonstrated through changes in behaviour. Experiment 1: The goal of the first experiment was to examine the influence of emotions on motor learning. Four groups of subjects completed a motor learning task performing brisk isometric abductions with their thumb. While performing the motor task, the subjects heard emotional sounds varying in arousal and valence: (1) valence negative / arousal low (V-/A-), (2) valence negative / arousal high (V-/A+), (3) valence positive / arousal low (V+/A-), and (4) valence positive / arousal high (V+/A+). Descriptive analysis of the complete data set showed best performances for motor learning in the V-/A- condition, but the differences between the conditions did not reach significance. Results suggest that the interaction between valence and arousal may modulate motor encoding processes. Since limitations of the study cannot be ruled out, future studies with different emotional stimuli have to test the assumption that exposure to low arousing negative stimuli during encoding has a facilitating effect on short term motor memory. Experiment 2: The purpose of the second experiment was to investigate the effects of emotional interference on consolidation of sequential learning. In different sessions, 6 groups of subjects were initially trained on a serial reaction time task (SRTT). To modulate consolidation of the newly learned skill, subjects were exposed, after the training, to 1 of 3 (positive, negative or neutral) different classes of emotional stimuli which consisted of a set of emotional pictures combined with congruent emotional musical pieces or neutral sound. Emotional intervention for each subject group was done in 2 different time intervals (either directly after the training session, or 6 h later). After a 72 h post-training interval, each group was retested on the SRTT. Re-test performance was evaluated in terms of response times and accuracy during performance of the target sequence. Emotional intervention did not influence either response times or accuracy of re-testing SRTT task performance. However, explicit awareness of sequence knowledge was enhanced by arousing negative stimuli applied at 0 h after training. These findings suggest that consolidation of explicit aspects of procedural learning may be more responsive toward emotional interference than are implicit aspects. Consolidation of different domains of skill acquisition may be governed by different mechanisms. Since skill performance did not correlate with explicit awareness we suggest that implicit and explicit modes of SRTT performance are not complementary. Experiment 3: The aim of the third experiment was to analyze if the left hemisphere preferentially controls flexion responses towards positive stimuli, while the right hemisphere is specialized towards extensor responses to negative pictures. To this end, right-handed subjects had to pull or push a joystick subsequent to seeing a positive or a negative stimulus in their left or right hemifield. Flexion responses were faster for positive stimuli, while negative stimuli were associated with faster extensions responses. Overall, performance was fastest when emotional stimuli were presented to the left visual hemifield. This right hemisphere superiority was especially clear for negative stimuli, while reaction times towards positive pictures showed no hemispheric difference. We did not find any interaction between hemifield and response type. Neither was there a triple interaction between valence, hemifield and response type. In our experimental context the interaction between valence and hemifield seems to be stronger than the interaction between valence and motor behaviour. From these results we suppose that under certain conditions a hierarchy scaling of the asymmetry patterns prevails, which might mask any other existing asymmetries.
Utility is perhaps the most central concept in modern economic theorizing. However, the behaviorist reduction to Revealed Preference not only removed the psychological content of utility but experimental investigations also exposed numerous anomalies in this theory.
This program of research focused on the psychological processes by which utility judgments are generated. For this purpose, the standard assumption of a homogeneous concept is substituted by the Utilitarian Duality Hypothesis.
In particular, judgments concerning categorical utility (uCat) infer an object's category based on its attributes which may subsequently allow the transfer of evaluative information like feelings or attitudes. In contrast, comparative utility (uCom) depends on the distance to a reference value on a specific dimension of comparison. Importantly, dimensions of comparison are manifold and context dependent.
In a series of experiments, we show that the resulting Dual Utility Model is able to explain several known anomalies in a parsimonious fashion. Moreover, we identify central factors determining the relative weight assigned to both utility components.
Finally, we discuss the implications of the Utilitarian Duality for both, the experimental practice in economics as well as the consequences for economic theorizing. In sum, we propose that the Dual Utility Model can serve as an integrative framework for both the rational model and its anomalies.
The importance of proactive and timely prediction of critical events is steadily increasing, whether in the manufacturing industry or in private life. In the past, machines in the manufacturing industry were often maintained based on a regular schedule or threshold violations, which is no longer competitive as it causes unnecessary costs and downtime. In contrast, the predictions of critical events in everyday life are often much more concealed and hardly noticeable to the private individual, unless the critical event occurs. For instance, our electricity provider has to ensure that we, as end users, are always supplied with sufficient electricity, or our favorite streaming service has to guarantee that we can watch our favorite series without interruptions. For this purpose, they have to constantly analyze what the current situation is, how it will develop in the near future, and how they have to react in order to cope with future conditions without causing power outages or video stalling.
In order to analyze the performance of a system, monitoring mechanisms are often integrated to observe characteristics that describe the workload and the state of the system and its environment. Reactive systems typically employ thresholds, utility functions, or models to determine the current state of the system. However, such reactive systems cannot proactively estimate future events, but only as they occur. In the case of critical events, reactive determination of the current system state is futile, whereas a proactive system could have predicted this event in advance and enabled timely countermeasures. To achieve proactivity, the system requires estimates of future system states. Given the gap between design time and runtime, it is typically not possible to use expert knowledge to a priori model all situations a system might encounter at runtime. Therefore, prediction methods must be integrated into the system. Depending on the available monitoring data and the complexity of the prediction task, either time series forecasting in combination with thresholding or more sophisticated machine and deep learning models have to be trained.
Although numerous forecasting methods have been proposed in the literature, these methods have their advantages and disadvantages depending on the characteristics of the time series under consideration. Therefore, expert knowledge is required to decide which forecasting method to choose. However, since the time series observed at runtime cannot be known at design time, such expert knowledge cannot be implemented in the system. In addition to selecting an appropriate forecasting method, several time series preprocessing steps are required to achieve satisfactory forecasting accuracy. In the literature, this preprocessing is often done manually, which is not practical for autonomous computing systems, such as Self-Aware Computing Systems. Several approaches have also been presented in the literature for predicting critical events based on multivariate monitoring data using machine and deep learning. However, these approaches are typically highly domain-specific, such as financial failures, bearing failures, or product failures. Therefore, they require in-depth expert knowledge. For this reason, these approaches cannot be fully automated and are not transferable to other use cases. Thus, the literature lacks generalizable end-to-end workflows for modeling, detecting, and predicting failures that require only little expert knowledge.
To overcome these shortcomings, this thesis presents a system model for meta-self-aware prediction of critical events based on the LRA-M loop of Self-Aware Computing Systems. Building upon this system model, this thesis provides six further contributions to critical event prediction. While the first two contributions address critical event prediction based on univariate data via time series forecasting, the three subsequent contributions address critical event prediction for multivariate monitoring data using machine and deep learning algorithms. Finally, the last contribution addresses the update procedure of the system model. Specifically, the seven main contributions of this thesis can be summarized as follows:
First, we present a system model for meta self-aware prediction of critical events. To handle both univariate and multivariate monitoring data, it offers univariate time series forecasting for use cases where a single observed variable is representative of the state of the system, and machine learning algorithms combined with various preprocessing techniques for use cases where a large number of variables are observed to characterize the system’s state. However, the two different modeling alternatives are not disjoint, as univariate time series forecasts can also be included to estimate future monitoring data as additional input to the machine learning models. Finally, a feedback loop is incorporated to monitor the achieved prediction quality and trigger model updates.
We propose a novel hybrid time series forecasting method for univariate, seasonal time series, called Telescope. To this end, Telescope automatically preprocesses the time series, performs a kind of divide-and-conquer technique to split the time series into multiple components, and derives additional categorical information. It then forecasts the components and categorical information separately using a specific state-of-the-art method for each component. Finally, Telescope recombines the individual predictions. As Telescope performs both preprocessing and forecasting automatically, it represents a complete end-to-end approach to univariate seasonal time series forecasting. Experimental results show that Telescope achieves enhanced forecast accuracy, more reliable forecasts, and a substantial speedup. Furthermore, we apply Telescope to the scenario of predicting critical events for virtual machine auto-scaling. Here, results show that Telescope considerably reduces the average response time and significantly reduces the number of service level objective violations.
For the automatic selection of a suitable forecasting method, we introduce two frameworks for recommending forecasting methods. The first framework extracts various time series characteristics to learn the relationship between them and forecast accuracy. In contrast, the other framework divides the historical observations into internal training and validation parts to estimate the most appropriate forecasting method. Moreover, this framework also includes time series preprocessing steps. Comparisons between the proposed forecasting method recommendation frameworks and the individual state-of-the-art forecasting methods and the state-of-the-art forecasting method recommendation approach show that the proposed frameworks considerably improve the forecast accuracy.
With regard to multivariate monitoring data, we first present an end-to-end workflow to detect critical events in technical systems in the form of anomalous machine states. The end-to-end design includes raw data processing, phase segmentation, data resampling, feature extraction, and machine tool anomaly detection. In addition, the workflow does not rely on profound domain knowledge or specific monitoring variables, but merely assumes standard machine monitoring data. We evaluate the end-to-end workflow using data from a real CNC machine. The results indicate that conventional frequency analysis does not detect the critical machine conditions well, while our workflow detects the critical events very well with an F1-score of almost 91%.
To predict critical events rather than merely detecting them, we compare different modeling alternatives for critical event prediction in the use case of time-to-failure prediction of hard disk drives. Given that failure records are typically significantly less frequent than instances representing the normal state, we employ different oversampling strategies. Next, we compare the prediction quality of binary class modeling with downscaled multi-class modeling. Furthermore, we integrate univariate time series forecasting into the feature generation process to estimate future monitoring data. Finally, we model the time-to-failure using not only classification models but also regression models. The results suggest that multi-class modeling provides the overall best prediction quality with respect to practical requirements. In addition, we prove that forecasting the features of the prediction model significantly improves the critical event prediction quality.
We propose an end-to-end workflow for predicting critical events of industrial machines. Again, this approach does not rely on expert knowledge except for the definition of monitoring data, and therefore represents a generalizable workflow for predicting critical events of industrial machines. The workflow includes feature extraction, feature handling, target class mapping, and model learning with integrated hyperparameter tuning via a grid-search technique. Drawing on the result of the previous contribution, the workflow models the time-to-failure prediction in terms of multiple classes, where we compare different labeling strategies for multi-class classification. The evaluation using real-world production data of an industrial press demonstrates that the workflow is capable of predicting six different time-to-failure windows with a macro F1-score of 90%. When scaling the time-to-failure classes down to a binary prediction of critical events, the F1-score increases to above 98%.
Finally, we present four update triggers to assess when critical event prediction models should be re-trained during on-line application. Such re-training is required, for instance, due to concept drift. The update triggers introduced in this thesis take into account the elapsed time since the last update, the prediction quality achieved on the current test data, and the prediction quality achieved on the preceding test data. We compare the different update strategies with each other and with the static baseline model. The results demonstrate the necessity of model updates during on-line application and suggest that the update triggers that consider both the prediction quality of the current and preceding test data achieve the best trade-off between prediction quality and number of updates required.
We are convinced that the contributions of this thesis constitute significant impulses for the academic research community as well as for practitioners. First of all, to the best of our knowledge, we are the first to propose a fully automated, end-to-end, hybrid, component-based forecasting method for seasonal time series that also includes time series preprocessing. Due to the combination of reliably high forecast accuracy and reliably low time-to-result, it offers many new opportunities in applications requiring accurate forecasts within a fixed time period in order to take timely countermeasures. In addition, the promising results of the forecasting method recommendation systems provide new opportunities to enhance forecasting performance for all types of time series, not just seasonal ones. Furthermore, we are the first to expose the deficiencies of the prior state-of-the-art forecasting method recommendation system.
Concerning the contributions to critical event prediction based on multivariate monitoring data, we have already collaborated closely with industrial partners, which supports the practical relevance of the contributions of this thesis. The automated end-to-end design of the proposed workflows that do not demand profound domain or expert knowledge represents a milestone in bridging the gap between academic theory and industrial application. Finally, the workflow for predicting critical events in industrial machines is currently being operationalized in a real production system, underscoring the practical impact of this thesis.
Fluorescence microscopy is a form of light microscopy that has developed during the 20th century and is nowadays a standard tool in Molecular and Cell biology for studying the structure and function of biological molecules. High-resolution fluorescence microscopy techniques, such as dSTORM (direct Stochastic Optical Reconstruction Microscopy) allow the visualization of cellular structures at the nanometre scale (10−9 m). This has already made it possible to decipher the composition and function of various biopolymers, such as proteins, lipids and nucleic acids, up to the three-dimensional (3D) structure of entire organelles. In practice, however, it has been shown that these imaging methods and their further developments still face great challenges in order to achieve an effective resolution below ∼ 10 nm. This is mainly due to the nature of labelling biomolecules. For the detection of molecular structures, immunostaining is often performed as a standard method. Antibodies to which fluorescent molecules are coupled, recognize and bind specifcally and with high affnity to the molecular section of the target structure, also called epitope or antigen. The fluorescent molecules serve as reporter molecules which are imaged with the use of a fluorescence microscope. However, the size of these labels with a length of about 10-15 nm in the case of immunoglobulin G (IgG) antibodies, cause a detection of the fluorescent molecules shifted to the real position of the studied antigen. In dense regions where epitopes are located close to each other, steric hindrance between antibodies can also occur and leads to an insuffcient label density. Together with the shifted detection of fluorescent molecules, these factors can limit the achievable resolution of a microscopy technique. Expansion microscopy (ExM) is a recently developed technique that achieves a resolution improvement by physical expansion of an investigated object. Therefore, biological samples such as cultured cells, tissue sections, whole organs or isolated organelles are chemically anchored into a swellable polymer. By absorbing water, this so-called superabsorber increases its own volume and pulls the covalently bound biomolecules isotropically apart. Routinely, this method achieves a magnifcation of the sample by about four times its volume. But protocol variants have already been developed that result in higher expansion factors of up to 50-fold. Since the ExM technique includes in the frst instance only the sample treatment for anchoring and magnifcation of the sample, it can be combined with various standard methods of fluorescence microscopy. In theory, the resolution of the used imaging technique improves linearly with the expansion factor of the ExM treated sample. However, an insuffcient label density and the size of the antibodies can here again impair the effective achievable resolution. The combination of ExM with high-resolution fluorescence microscopy methods represents a promising strategy to increase the resolution of light microscopy. In this thesis, I will present several ExM variants I developed which show the combination of ExM with confocal microscopy, SIM (Structured Illumination Microscopy), STED (STimulated Emission Depletion) and dSTORM. I optimized existing ExM protocols and developed different expansion strategies, which allow the combination with the respective imaging technique. Thereby, I gained new structural insights of isolated centrioles from the green algae Chlamydomonas reinhardtii by combining ExM with STED and confocal microscopy. In another project, I combined 3D-SIM imaging with ExM and investigated the molecular structure of the so-called synaptonemal complex. This structure is formed during meiosis in eukaryotic cells and contributes to the exchange of genetic material between homologous chromosomes. Especially in combination with dSTORM, the ExM method showed its high potential to overcome the limitations of modern fluorescence microscopy techniques. In this project, I expanded microtubules in mammalian cells, a polymer of the cytoskeleton as well as isolated centrioles from C. reinhardtii. By labelling after expansion of the samples, I was able to signifcantly reduce the linkage error of the label and achieve an improved label density. In future, these advantages together with the single molecule sensitivity and high resolution obtained by the dSTORM method could pave the way for achieving molecular resolution in fluorescence microscopy
Organic solar cells have great potential to become a low-cost and clean alternative to conventional photovoltaic technologies based on the inorganic bulk material silicon. As a highly promising concept in the field of organic photovoltaics, bulk heterojunction (BHJ) solar cells consist of a mixture of an electron donating and an electron withdrawing component. Their degree of intermixing crucially affects the generation of photocurrent. In this work, the effect of an altered blend morphology on polaron pair dissociation, charge carrier transport, and nongeminate recombination is analyzed by the charge extraction techniques time delayed collection field (TDCF) and open circuit corrected transient charge extraction (OTRACE). Different comparative studies cover a broad range of material systems, including polymer and small-molecule donors in combination with different fullerene acceptors. The field dependence of polaron pair dissociation is analyzed in blends based on the polymer pBTTT-C16, allowing a systematic tuning of the blend morphology by varying the acceptor type and fraction. The effect of both excess photon energy and intercalated phases are minor compared to the influence of excess fullerene, which reduces the field dependence of photogeneration. The study demonstrates that the presence of neat fullerene domains is the major driving force for efficient polaron pair dissociation that is linked to the delocalization of charge carriers. Furthermore, the influence of the processing additive diiodooctane (DIO) is analyzed using the photovoltaic blends PBDTTT-C:PC71BM and PTB7:PC71BM. The study reveals amulti-tiered alteration of the blend morphology of PBDTTT-C based blends upon a systematic increase of the amount of DIO. Domains on the hundred nanometers length scale in the DIO-free blend are identified as neat fullerene agglomerates embedded in an intermixed matrix. With the addition of the additive, 0.6% and 1% DIO already substantially reduces the size of these domains until reaching the optimum 3% DIO mixture, where a 7.1% power conversion efficiency is obtained. It is brought into connection with the formation of interpenetrating polymer and fullerene phases. Similar to PBDTTT-C, the morphology of DIO-free PTB7:PC71BM blends is characterized by large fullerene domains being decreased in size upon the addition of 3% DIO. OTRACE measurements reveal a reduced Langevin-type, super-second order recombination in both blends. It is demonstrated that the deviation from bimolecular recombination kinetics cannot be fully attributed to the carrier density dependence of the mobility but is rather related to trapping in segregated PC71BM domains. Finally, with regard to small-molecule donors, a higher yield of photogeneration and balanced transport properties are identified as the dominant factors enhancing the efficiency of vacuum deposited MD376:C60 relative to its solution processed counterpart MD376:PC61BM. The finding is explained by a higher degree of dimerization of the merocyanine dye MD376 and a stronger donor-acceptor interaction at the interface in the case of the vacuum deposited blend.
Bacterial mastitis is caused by invasion of the udder, bacterial multiplication and induction of
inflammatory responses in the bovine mammary gland. Disease severity and the cause of disease are
influenced by environmental factors, the cow’s immune response as well as bacterial traits. Escherichia coli (E. coli) is one of the main causes of acute bovine mastitis, but although pathogenic E. coli strains can be classified into different pathotypes, E. coli causing mastitis cannot unambiguously be distinguished from commensal E. coli nor has a common set of virulence factors
been described for mastitis isolates. This project focussed on the characterization of virulence-
associated traits of E. coli mastitis isolates in comprehensive analyses under conditions either
mimicking initial pathogenesis or conditions that E. coli mastitis isolates should encounter while entering the udder. Virulence-associated traits as well as fitness traits of selected bovine mastitis or faecal E. coli strains were identified and analyzed in comparative phenotypic assays. Raw milk whey was introduced to
test bacterial fitness in native mammary secretion known to confer antimicrobial effects.
Accordingly, E. coli isolates from bovine faeces represented a heterogeneous group of which some
isolates showed reduced ability to survive in milk whey whereas others phenotypically resembled
mastitis isolates that represented a homogeneous group in that they showed similar survival and
growth characteristics in milk whey. In contrast, mastitis isolates did not exhibit such a uniform phenotype when challenged with iron shortage, lactose as sole carbon source and lingual
antimicrobial peptide (LAP) as a main defensin of milk. Reduced bacterial fitness could be related to LAP suggesting that bacterial adaptation to an intramammary lifestyle requires resistance to host
defensins present in mammary secretions, at least LAP.
E. coli strain 1303 and ECC-1470 lack particular virulence genes associated to mastitis isolates. To find out whether differences in gene expression may contribute to the ability of E. coli variants to cause mastitis, the transcriptome of E. coli model mastitis isolates 1303 and ECC-1470 were analyzed to
identify candidate genes involved in bacterium-host interaction, fitness or even pathogenicity during bovine mastitis.
DNA microarray analysis was employed to assess the transcriptional response of E. coli 1303 and
ECC-1470 upon cocultivation with MAC-T immortalized bovine mammary gland epithelial cells to
identify candidate genes involved in bacterium-host interaction. Additionally, the cell adhesion and invasion ability of E. coli strain 1303 and ECC-1470 was investigated. The transcriptonal response to the presence of host cells rather suggested competition for nutrients and oxygen between E. coli and MAC-T cells than marked signs of adhesion and invasion. Accordingly, mostly fitness traits that may also contribute to efficient colonization of the E. coli primary habitat, the gut, have been utilized by the mastitis isolates under these conditions. In this study, RNA-Seq was employed to assess the bacterial transcriptional response to milk whey.
According to our transcriptome data, the lack of positively deregulated and also of true virulence-associated determinants in both of the mastitis isolates indicated that E. coli might have adapted by other means to the udder (or at least mammary secretion) as an inflammatory site. We identified traits that promote bacterial growth and survival in milk whey. The ability to utilize citrate promotes fitness and survival of E. coli that are thriving in mammary secretions. According to our results, lactoferrin has only weak impact on E. coli in mammary secretions. At the same time bacterial determinants involved in iron assimilation were negatively regulated, suggesting that, at least during the first hours, iron assimilation is not a challenge to E. coli colonizing the mammary gland. It has been hypothesized that cellular iron stores cause temporary independency to extracellular accessible iron. According to our transcriptome data, this hypothesis was supported and places iron uptake
systems beyond the speculative importance that has been suggested before, at least during early
phases of infection. It has also been shown that the ability to resist extracytoplasmic stress, by oxidative conditions as well as host defensins, is of substantial importance for bacterial survival in mammary secretions.
In summary, the presented thesis addresses important aspects of host-pathogen interaction and
bacterial conversion to hostile conditions during colonization of the mastitis inflammatory site, the mammary gland.
Neuronal representation and processing of chemosensory communication signals in the ant brain
(2008)
Ants heavily rely on olfaction for communication and orientation and ant societies are characterized by caste- and sex-specific division of labor. Olfaction plays a key role in mediating caste-specific behaviours. I investigated whether caste- and sex-specific differences in odor driven behavior are reflected in specific differences and/or adaptations in the ant olfactory system. In particular, I asked the question whether in the carpenter ant, Camponotus floridanus, the olfactory pathway exhibits structural and/or functional adaptations to processing of pheromonal and general odors. To analyze neuroanatomical specializations, the central olfactory pathway in the brain of large (major) workers, small (minor) workers, virgin queens, and males of the carpenter ant C. floridanus was investigated using fluorescent tracing, immunocytochemistry, confocal microscopy and 3D-analyzes. For physiological analyzes of processing of pheromonal and non-pheromonal odors in the first odor processing neuropil , the antennal lobe (AL), calcium imaging of olfactory projection neurons (PNs) was applied. Although different in total glomerular volumes, the numbers of olfactory glomeruli in the ALs were similar across the female worker caste and in virgin queens. Here the AL contains up to ~460 olfactory glomeruli organized in 7 distinct clusters innervated via 7 antennal sensory tracts. The AL is divided into two hemispheres regarding innervations of glomeruli by PNs with axons leaving via a dual output pathway. This pathway consists of the medial (m) and lateral (l) antenno-cerebral tract (ACT) and connects the AL with the higher integration areas in the mushroom bodies (MB) and the lateral horn (LH). M- and l-ACT PNs differ in their target areas in the MB calyx and the LH. Three additional ACTs (mediolateral - ml) project to the lateral protocerebrum only. Males had ~45% fewer glomeruli compared to females and one of the seven sensory tracts was absent. Despite a substantially smaller number of glomeruli, males possess a dual PN output pathway to the MBs. In contrast to females, however, only a small number of glomeruli were innervated by projection neurons of the m-ACT. Whereas all glomeruli in males were densely innervated by serotonergic processes, glomeruli innervated by sensory tract six lacked serotonergic innervations in the female castes. It appears that differences in general glomerular organization are subtle among the female castes, but sex-specific differences in the number, connectivity and neuromodulatory innervations of glomeruli are substantial and likely to promote differences in olfactory behavior. Calcium imaging experiments to monitor pheromonal and non-pheromonal processing in the ant AL revealed that odor responses were reproducible and comparable across individuals. Calcium responses to both odor groups were very sensitive (10-11 dilution), and patterns from both groups were partly overlapping indicating that processing of both odor classes is not spatially segregated within the AL. Intensity response patterns to the pheromone components tested (trail pheromone: nerolic acid; alarm pheromone: n-undecane), in most cases, remained invariant over a wide range of intensities (7-8 log units), whereas patterns in response to general odors (heptanal, octanol) varied across intensities. Durations of calcium responses to stimulation with the trail pheromone component nerolic acid increased with increasing odor concentration indicating that odor quality is maintained by a stable pattern (concentration invariance) and intensity is mainly encoded in the response durations of calcium activities. For n-undecane and both general odors increasing response dynamics were only monitored in very few cases. In summary, this is the first detailed structure-function analyses within the ant’s central olfactory system. The results contribute to a better understanding of important aspects of odor processing and olfactory adaptations in an insect’s central olfactory system. Furthermore, this study serves as an excellent basis for future anatomical and/or physiological experiments.
Extreme value theory is concerned with the stochastic modeling of rare and extreme events. While fundamental theories of classical stochastics - such as the laws of small numbers or the central limit theorem - are used to investigate the asymptotic behavior of the sum of random variables, extreme value theory focuses on the maximum or minimum of a set of observations. The limit distribution of the normalized sample maximum among a sequence of independent and identically distributed random variables can be characterized by means of so-called max-stable distributions.
This dissertation concerns with different aspects of the theory of max-stable random vectors and stochastic processes. In particular, the concept of 'differentiability in distribution' of a max-stable process is introduced and investigated. Moreover, 'generalized max-linear models' are introduced in order to interpolate a known max-stable random vector by a max-stable process. Further, the connection between extreme value theory and multivariate records is established. In particular, so-called 'complete' and 'simple' records are introduced as well as it is examined their asymptotic behavior.
Although the field of fungal infections advanced tremendously, diagnosis of invasive pulmonary aspergillosis (IPA) in immunocompromised patients continues to be a challenge. Since IPA is a multifactorial disease, investigation from different aspects may provide new insights, helpful for improving IPA diagnosis. This work aimed to characterize the human immune response to Aspergillus fumigatus in a multilevel manner to identify characteristic molecular candidates and risk factors indicating IPA, which may in the future support already established diagnostic assays. We combined in vitro studies using myeloid cells infected with A. fumigatus and longitudinal case-control studies investigating patients post allogeneic stem cell transplantation (alloSCT) suffering from IPA and their match controls.
Characteristic miRNA and mRNA signatures indicating A. fumigatus-infected monocyte-derived dendritic cells (moDCs) demonstrated the potential to differentiate between A. fumigatus and Escherichia coli infection. Transcriptome and protein profiling of alloSCT patients suffering from IPA and their matched controls revealed a distinctive IPA signature consisting of MMP1 induction and LGAL2 repression in combination with elevated IL-8 and caspase-3 levels. Both, in vitro and case-control studies, suggested cytokines, matrix-metallopeptidases and galectins are important in the immune response to A. fumigatus. Identified IPA characteristic molecular candidates are involved in numerous processes, thus a combination of these in a distinctive signature may increase the specificity. Finally, low monocyte counts, severe GvHD of the gut (grade ≥ 2) and etanercept administration were significantly associated with IPA diagnosis post alloSCT. Etanercept in monocyte-derived macrophages (MDM) infected with A. fumigatus downregulates genes involved in the NF-κB and TNF-α pathway and affects the secretion of CXCL10.
Taken together, identified characteristic molecular signatures and risk factors indicating IPA may in the future in combination with established fungal biomarkers overcome current diagnostic challenges and help to establish tailored antifungal therapy. Therefore, further multicentre studies are encouraged to evaluate reported findings.
Internet applications are becoming more and more flexible to support diverge user demands and network conditions. This is reflected by technical concepts, which provide new adaptation mechanisms to allow fine grained adjustment of the application quality and the corresponding bandwidth requirements. For the case of video streaming, the scalable video codec H.264/SVC allows the flexible adaptation of frame rate, video resolution and image quality with respect to the available network resources. In order to guarantee a good user-perceived quality (Quality of Experience, QoE) it is necessary to adjust and optimize the video quality accurately. But not only have the applications of the current Internet changed. Within network and transport, new technologies evolved during the last years providing a more flexible and efficient usage of data transport and network resources. One of the most promising technologies is Network Virtualization (NV) which is seen as an enabler to overcome the ossification of the Internet stack. It provides means to simultaneously operate multiple logical networks which allow for example application-specific addressing, naming and routing, or their individual resource management. New transport mechanisms like multipath transmission on the network and transport layer aim at an efficient usage of available transport resources. However, the simultaneous transmission of data via heterogeneous transport paths and communication technologies inevitably introduces packet reordering. Additional mechanisms and buffers are required to restore the correct packet order and thus to prevent a disturbance of the data transport. A proper buffer dimensioning as well as the classification of the impact of varying path characteristics like bandwidth and delay require appropriate evaluation methods. Additionally, for a path selection mechanism real time evaluation mechanisms are needed. A better application-network interaction and the corresponding exchange of information enable an efficient adaptation of the application to the network conditions and vice versa. This PhD thesis analyzes a video streaming architecture utilizing multipath transmission and scalable video coding and develops the following optimization possibilities and results: Analysis and dimensioning methods for multipath transmission, quantification of the adaptation possibilities to the current network conditions with respect to the QoE for H.264/SVC, and evaluation and optimization of a future video streaming architecture, which allows a better interaction of application and network.
Graphs provide a key means to model relationships between entities.
They consist of vertices representing the entities,
and edges representing relationships between pairs of entities.
To make people conceive the structure of a graph,
it is almost inevitable to visualize the graph.
We call such a visualization a graph drawing.
Moreover, we have a straight-line graph drawing
if each vertex is represented as a point
(or a small geometric object, e.g., a rectangle)
and each edge is represented as a line segment between its two vertices.
A polyline is a very simple straight-line graph drawing,
where the vertices form a sequence according to which the vertices are connected by edges.
An example of a polyline in practice is a GPS trajectory.
The underlying road network, in turn, can be modeled as a graph.
This book addresses problems that arise
when working with straight-line graph drawings and polylines.
In particular, we study algorithms
for recognizing certain graphs representable with line segments,
for generating straight-line graph drawings,
and for abstracting polylines.
In the first part, we first examine,
how and in which time we can decide
whether a given graph is a stick graph,
that is, whether its vertices can be represented as
vertical and horizontal line segments on a diagonal line,
which intersect if and only if there is an edge between them.
We then consider the visual complexity of graphs.
Specifically, we investigate, for certain classes of graphs,
how many line segments are necessary for any straight-line graph drawing,
and whether three (or more) different slopes of the line segments
are sufficient to draw all edges.
Last, we study the question,
how to assign (ordered) colors to the vertices of a graph
with both directed and undirected edges
such that no neighboring vertices get the same color
and colors are ascending along directed edges.
Here, the special property of the considered graph is
that the vertices can be represented as intervals
that overlap if and only if there is an edge between them.
The latter problem is motivated by an application
in automated drawing of cable plans with vertical and horizontal line segments,
which we cover in the second part.
We describe an algorithm that
gets the abstract description of a cable plan as input,
and generates a drawing that takes into account
the special properties of these cable plans,
like plugs and groups of wires.
We then experimentally evaluate the quality of the resulting drawings.
In the third part, we study the problem of abstracting (or simplifying)
a single polyline and a bundle of polylines.
In this problem, the objective is to remove as many vertices as possible from the given polyline(s)
while keeping each resulting polyline sufficiently similar to its original course
(according to a given similarity measure).
The aim of the present work was to improve drug monitoring in patients with various diseases in the context of precision medicine. This was pursued through the development and validation of mass spectrometric methods for determining the drug concentrations of kinase inhibitors and their clinical application. Besides conventional approaches to determine plasma level concentrations, the focus was also on alternative sampling techniques using volumetric absorptive microsampling (VAMS).
A conventional LC-MS/MS method was developed for the determination of cabozantinib in human EDTA plasma and validated according to the guidelines of the European and United States drug authorities (EMA, FDA). The method met the required criteria for linearity, accuracy and precision, selectivity, sensitivity, and stability of the analyte. Validation was also performed for dilution integrity, matrix effect, recovery, and carry-over, with results also in accordance with the requirements. The importance of monitoring the exposure of cabozantinib was demonstrated by a clinical case report of a 34-year-old female patient with advanced adrenocortical carcinoma who also required hemodialysis due to chronic kidney failure. Expected cabozantinib plasma concentrations were simulated for this off-label use based on a population pharmacokinetic model. It was shown that the steady state trough levels were much lower than expected but could not be explained by hemodialysis. Considering the critical condition and potential drug-drug interaction with metyrapone, a substance the patient had taken among several others during the observation period, individual pharmacokinetics could consequently not be estimated without drug monitoring.
In addition, a VAMS method for simultaneous determination of ten kinase inhibitors from capillary blood was developed. This microsampling technique was mainly characterized by the collection of a defined volume of blood, which could be dried and subsequently analyzed. The guidelines for bioanalytical method validation of the EMA and FDA were also used for this evaluation. As the nature of dried blood samples differs from liquid matrices, further parameters were investigated. These include the investigation of the hematocrit effect, process efficiency, and various stability conditions, for example at increased storage temperatures. The validation showed that the developed method is suitable to analyze dried matrix samples accurate, precise, and selective for all analytes. Apart from the stability tests, all acceptance criteria were met. The decreased stability of two analytes was probably due to the reproducible but reduced recovery. In vitro studies provided results on the VAMS-to-plasma correlation to predict the analyte distribution between both matrices, at least in an exploratory manner. It revealed a heterogeneous picture of analytes with different VAMS-to-plasma distributions. Furthermore, the analysis of 24 patient samples indicated the applicability of at-home VAMS. Both should be confirmed later as part of the clinical validation.
The clinical investigation of the VAMS method pursued two objectives. On the one hand, the simultaneous collection of VAMS and serum samples should enable a conversion of the determined concentrations and, on the other hand, the feasibility of autonomous microsampling at home should be examined more closely. For the former, it could be shown that different conversion methods are suitable for converting VAMS concentrations into serum levels. The type of conversion was secondary for the prediction. However, the previously defined criteria could not be fulfilled for all five kinase inhibitors investigated. The framework conditions of the study led to increased variability, especially for analytes with short half-life. A low and varying hematocrit, caused by the underlying disease, also made prediction difficult for a specific patient collective. For the second objective, investigating the feasibility of VAMS, different aspects were considered. It could be shown that the majority of patients support home-based microsampling. The acceptance is likely to increase even further when microsampling is no longer part of a non-interventional study, but participation is accompanied by targeted monitoring and subsequent adjustment of the therapy. The fact that additional training increases understanding of the correct sampling procedure is also a source of confidence. Demonstrated stability during storage under real-life conditions underlines the practicality of this sampling technique.
Taken together, mass spectrometric methods for both plasma and VAMS could be developed and validated, and their clinical application could be successfully demonstrated. The availability of simple bioanalytical methods to determine kinase inhibitor exposure could improve access to prospective studies and thus facilitate the implementation of routine therapeutic drug monitoring.
The eukaryotic parasite Trypanosoma brucei has evolved sophisticated strategies to persist within its mammalian host. Trypanosomes evade the hosts' immune system by antigenic variation of their surface coat, consisting of variant surface glycoproteins (VSGs). Out of a repertoire of thousands of VSG genes, only one is expressed at any given time from one of the 15 telomeric expression sites (ES). The VSG is stochastically exchanged either by a transcriptional switch of the active ES (in situ switch) or by a recombinational exchange of the VSG within the active ES. However, for infections to persist, the parasite burden has to be limited. The slender (sl) bloodstream form secretes the stumpy induction factor (SIF), which accumulates with rising parasitemia. SIF induces the irreversible developmental transition from the proliferative sl to the cell cycle-arrested but fly-infective stumpy (st) stage once a concentration threshold is reached. Thus, antigenic variation and st development ensure persistent infections and transmissibility. A previous study in monomorphic cells indicated that the attenuation of the active ES could be relevant for the development of trypanosomes. The present thesis investigated this hypothesis using the inducible overexpression of an ectopic VSG in pleomorphic trypanosomes, which possess full developmental competence. These studies revealed a surprising phenotypic plasticity: while the endogenous VSG was always down-regulated upon induction, the ESactivity determined whether the VSG overexpressors arrested in growth or kept proliferating. Full ES-attenuation induced the differentiation of bona fide st parasites independent of the cell density and thus represents the sole natural SIF-independent differentiation trigger to date. A milder decrease of the ES-activity did not induce phenotypic changes, but appeared to prime the parasites for SIF-induced differentiation. These results demonstrate that antigenic variation and development are linked and indicated that the ES and the VSG are independently regulated. Therefore, I investigated in the second part of my thesis how ES-attenuation and VSG-silencing can be mediated. Integration of reporters with a functional or defective VSG 3'UTR into different genomic loci showed that the maintenance of the active state of the ES depends on a conserved motif within the VSG 3'UTR. In situ switching was only triggered when the telomere-proximal motif was partially deleted, suggesting that it serves as a DNA-binding motif for a telomere-associated protein. The VSG levels seem to be additionally regulated in trans based on the VSG 3'UTR independent of the genomic context, which was reinforced by the regulation of a constitutively expressed reporter with VSG 3' UTR upon ectopic VSG overexpression.
Ischemia-reperfusion injury (I/R injury) is a common complication in ischemic stroke (IS) treatment, which is characterized by a paradoxical perpetuation of tissue damage despite the successful re-establishment of vascular perfusion. This phenomenon is known to be facilitated by the detrimental interplay of platelets and inflammatory cells at the vascular interface. However, the spatio-temporal and molecular mechanisms underlying these cellular interactions and their contribution to infarct progression are still incompletely understood. Therefore, this study intended to clarify the temporal mechanisms of infarct growth after cerebral vessel recanalization. The data presented here could show that infarct progression is driven by early blood-brain-barrier perturbation and is independent of secondary thrombus formation. Since previous studies unravelled the secretion of platelet granules as a molecular mechanism of how platelets contribute to I/R injury, special emphasis was placed on the role of platelet granule secretion in the process of barrier dysfunction. By combining an in vitro approach with a murine IS model, it could be shown that platelet α-granules exerted endothelial-damaging properties, whereas their absence (NBEAL2-deficiency) translated into improved microvascular integrity. Hence, targeting platelet α-granules might serve as a novel treatment option to reduce vascular integrity loss and diminish infarct growth despite recanalization.
Recent evidence revealed that pathomechanisms underlying I/R injury are already instrumental during large vessel occlusion. This indicates that penumbral tissue loss under occlusion and I/R injury during reperfusion share an intertwined relationship. In accordance with this notion, human observational data disclosed the presence of a neutrophil dominated immune response and local platelet activation and secretion, by the detection of the main components of platelet α-granules, within the secluded vasculature of IS patients. These initial observations of immune cells and platelets could be further expanded within this thesis by flow cytometric analysis of local ischemic blood samples. Phenotyping of immune cells disclosed a yet unknown shift in the lymphocyte population towards CD4+ T cells and additionally corroborated the concept of an immediate intravascular immune response that is dominated by granulocytes. Furthermore, this thesis provides first-time evidence for the increased appearance of platelet-leukocyte-aggregates within the secluded human vasculature. Thus, interfering with immune cells and/or platelets already under occlusion might serve as a potential strategy to diminish infarct expansion and ameliorate clinical outcome after IS.
Upon approval of a drug, the stability of the API and the FPP has to be studied intensively because it determines the shelf-life. If a drug is found to be stable, the expiry date is arbitrary set to five years at the maximum, if a drug tends to undergo degradation, the expiry date is set shorter. The drug product must comply with predefined specifications in accordance with the ICH guidelines Q6A and Q6B during its entire market life. The content of the active substance is required to be within a specification of 95–105% of its labeled claim until expiry corresponding to the ICH guideline Q1A(R2). However, there is little or scattered literature information addressing the stability of drug products beyond their expiry dates. The objective of this thesis was to study and assess the long-term stability of a collection involving numerous pure drug substances and ampoules manufactured in the 20th century. The content and the impurity profile were examined by means of appropriate analytical methods, mainly using liquid chromatography. The results were compared to data being available in the literature. Assessing the stability regarding the dosage form and the affiliation of the drug class was conducted.
The experimental studies comprise the examination of 50 drug substances manufactured 20–30 years ago and 14 long expired ampoules which were older than 40 years in the time of analysis, exceeding many times the maximum shelf life of five years.
For investigation of the solid drug substances, pharmacopoeial methods were applied as far as possible. Indeed, results of the study showed that 44 tested substances still complied with the specification of the Ph. Eur. with regard to the content and impurity profile, even after more than two decades of storage.
For analysis of the injection solutions, HPLC-UV and HPLC-ESI/MS techniques were applied, commonly based on liquid chromatography methods of the Ph. Eur. for determination of related substances. Each method was further validated for its application to ensure accurate API quantification corresponding to ICH Q2(R1). Quite a few ampoules were identified to show surprisingly high stability. In spite of their age of 53–72 years, APIs such as caffeine, etilefrine, synephrine, metamizole sodium, furosemide, and sodium salicylate complied with the specified content that is valid nowadays, respectively. Nevertheless, typical degradation reaction, e.g. hydrolysis, oxidation, or isomerization, was observed in all remaining ampoules. Various degrees of hydrolysis were revealed for scopolamine, procaine, and adenosine triphosphate, the contents were decreased to 71%, 70%, and 15% of the declared concentrations, respectively. In the epinephrine and dipyridamole ampoules, oxidative degradation has been occurred, finding respective API contents of more or less 70%. For dihydroergotamine, excessive decomposition by epimerization was observed, resulting in an API content of 21% and degradation by isomerization was found in lobeline, still containing 64% of the labeled claim.
In conclusion, supported by the data of the present studies and the literature, defining and authorizing a longer shelf-life may be applicable to numerous pharmaceuticals which should be considered by pharmaceutical manufacturers and regulatory authorities, if justified based on stability studies. A general extension of the shelf-lives of drug products and the abolishment or extension of the maximum shelf-life limit of five years would prevent disposing of still potent medications and save a lot of money to the entire health care system.
In this work the synthesis of dendritic macromolecules and small redox cascades was reported and studies of their energy and electron transfer properties discussed.
The chromophores in the dendrimers and the redox cascades are linked via triazoles, which were built up by CuAAC. Thereby, a synthetic concept based on building blocks was implemented, which allowed the exchange of all basic components. Resulting structures include dendrimers composed exclusively of TAAs (G1–G3), dendrimers with an incorporated spirobifluorene core (spiro-G1 and spiro-G2) and the donor-acceptor dendrimer D-A-G1, in which the terminal groups are exchanged by NDIs.
Furthermore, a series of model compounds was synthesised in order to achieve a better understanding of the photophysical processes in the dendrimers.
A modification of the synthetic concept for dendrimers enabled the synthesis of a series of donor-acceptor triads (T-Me, T-Cl and T-CN) consisting of two TAA donors and one NDI acceptor unit. The intermediate TAA chromophore ensured a downhill redox gradient from the NDI to the terminal TAA, which was proved by cyclic voltammetry measurements. The redox potential of the intermediate TAA was adjusted by different redox determining substituents in the “free” p-position of the TAA. Additionally, two dyads (Da and Db) were synthesised which differ in the junction of the triazole to the TAA or the NDI, respectively. In these cascades a nodal-plane along the N-N-axes in the NDI and a large twist angle between the NDI and the N-aryl substituent guaranteed a small electronic coupling.
The photophysical investigations of the dendrimers focused on the homo-energy transfer properties in the TAA dendrimers G1–G3. Steady-state emission spectroscopy revealed that the emission takes place from a charge transfer state. The polar excited state resulted in a strong Stokes shift of the emission, which in turn led to a small spectral overlap integral between the absorption of the acceptor and the emission of the donor in the solvent relaxed state. According to the Förster theory, the overlap integral strongly determines the energy transfer rate. Fluorescence up-conversion measurements showed a strong and rapid initial fluorescence anisotropy decay and a much slower decrease on the longer time scale. The experiment revealed a fast energy transfer in the first 2 ps followed by a much slower energy hopping. Time resolved emission spectra (TRES) of the model compound M indicated a solvent relaxation on the same time scale as the fast energy transfer.
The Förster estimation of energy transfer rates in G1 explains fast energy transfer in the vibrotionally relaxed state before solvent relaxation starts. Thereby, the emission spectrum of G1 in cyclohexane served as the time zero spectrum. Thus, solvent relaxation and fast energy transfer compete in the first two ps after excitation and it is crucial to discriminate between energy transfer in the Franck-Condon and in the solvent relaxed state. Furthermore, this finding demonstrates that fast energy transfer occurs even in charge transfer systems where a large Stokes shift prevents an effective spectral overlap integral if there is a sufficient overlap integral in before solvent relaxation.
Energy transfer upon excitation was also observed in the spiro dendrimers spiro-G1 and spiro-G2 and identified by steady-state emission anisotropy measurements. It was assumed that the energy in spiro-G1 is completely distributed over the entire molecule while the energy in spiro-G2 is probably distributed over only one individual branch. This finding was based on a more polarised emission of spiro-G2 compared to spiro-G1. This issue has to be ascertained by e.g. time resolved emission anisotropy measurements in further energy transfer studies.
Concerning the electron transfer properties of TAA-triazole systems the radical cations of G1–G2, spiro-G1 and spiro-G2 and of the model compound M were investigated by steady-state absorption spectroscopy. Experiments showed that the triazole bridge exhibits small electronic communication between the adjacent chromophores but still possesses sufficient electronic coupling to allow an effective electron transfer from one chromophore to the other.
Due to the high density of chromophores, their D-A-D structure and their superficial centrosymmetry, the presented dendrimers are prospective candidates for two-photon absorption applications.
The dyads, triads and the donor-acceptor dendrimer D-A-G1 were investigated regarding their photoinduced electron transfer properties and the effects that dominate charge separation and charge recombination in these systems.
The steady-state absorption spectra of all cascades elucidated a superposition of the absorption characteristics of the individual subunits and spectra indicated that the chromophores do not interact in the electronic ground state.
Time resolved transient absorption spectroscopy of the cascades was performed in the fs- and ns-time regime in MeCN and toluene as solvent. Measurements revealed that upon with 28200 cm-1 (355) nm and 26300 cm-1 (380 nm), respectively, an electron is transferred from the TAA towards the NDI unit yielding a CS state. In the triads at first a CS1 state is populated, in which the NDI is reduced and the intermediate TAA1 is oxidised. Subsequently, an additional electron transfer from the terminal TAA2 to TAA1 led to the fully CS2 state. Fully CS states of the dyads and triads exhibit lifetimes in the ns-time regime. In contrast for Db in MeCN, a lifetime of 43 ps was observed for the CS state together with the population of a 3NDI state. The signals of the other CS states decay biexponentially, which is a result of the presence of the 1CS and the 3CS states. While magnetic field dependent measurements of Db did not show an effect due to the large singlet-triplet splitting, T-CN exhibited a strong magnetic field dependence which is an evidence for the 1CS/3CS assignment. Further analysis of the singlet-triplet dynamics are required and are currently in progress.
Charge recombination occurred in the Marcus inverted region for compounds solved in toluene and in the Marcus normal region for MeCN as solvent. However, a significant inverted region effect was observed only for Db. Triads are probably characterised by charge recombination rates in the inverted and in the normal region near to the vertex of the Marcus parabola. Hence the inverted region effect is not pronounced and the rate charge recombination rates are all in the same magnitude. However, compared to the charge recombination rate of Db the enlarged spatial distance between the terminal TAA and the NDI in the fully CS2 states in the triads resulted in reduced charge recombination rates by ca. one order of magnitude.
More important than a small charge recombination rate is an overall lifetime of the CS states and this lifetime can significantly be enhanced by the population of the 3CS state. The reported results reveal that a larger singlet-triplet splitting in the dyads led to a CS state lifetime in the us time regime while a lifetime in the ns-time regime was observed in cases of the triads. Moreover, the singlet-triplet splitting was found to be solvent dependent in the triads, which is a promising starting point for further investigations concerning singlet-triplet splitting.
The donor-acceptor dendrimer D-A-G1 showed similar characteristics to the dyads. The generation of a CS state is assumed due to a clear NDI radical anion band in the transient absorption spectrum. Noteworthy, the typical transient absorption band of the TAA radical cation is absent for D A-G1 in toluene. Bixon-Jortner analysis yielded a similar electronic coupling in D-A-G1 compared to the dyads. However, the charge recombination rate is smaller than of Db due to a more energetic CS state, which in the inverted region slows down charge recombination. In combination a singlet-triplet splitting similar to the dyads prolongs the CS state lifetime up to 14 us in diluted solution. Both effects result in an even better performance of D-A-G1 concerning energy conversion. D A-G1 is therefore a promising key structure for further studies on light harvesting applications. In a prospective study a second generation donor-acceptor dendrimer D-A-G2 might be an attractive structure accessible by “click reaction” of 13 and 8. D-A-G2 is expected to exhibit a downhill oriented gradient of CS states as assumed from the CV studies on G1–G3.
Anxiety disorders (AD) are common, disabling mental disorders, which constitute the most prevalent mental health condition conveying a high individual and socioeconomic burden. Social anxiety disorder (SAD), i.e. fear in social situations particularly when subjectively scrutinized by others, is the second most common anxiety disorder with a life time prevalence of 10%. Panic disorder (PD) has a life time prevalence of 2-5% and is characterized by recurrent and abrupt surges of intense fear and anticipatory anxiety, i.e. panic attacks, occurring suddenly and unexpected without an apparent cue.
In recent years, psychiatric research increasingly focused on epigenetic mechanisms such as DNA methylation as a possible solution for the problem of the so-called “hidden heritability”, which conceptualizes the fact that the genetic risk variants identified so far only explain a small part of the estimated heritability of mental disorders.
In the first part of this thesis, oxytocin receptor (OXTR) gene methylation was investigated regarding its role in the pathogenesis of social anxiety disorder. In summary, OXTR methylation patterns were implicated in different phenotypes of social anxiety disorder on a categorical, neuropsychological, neuroendocrinological as well as on a neural network level. The results point towards a multilevel role of OXTR gene hypomethylation particularly at one CpG site (CpG3, Chr3: 8 809 437) within the protein coding region of the gene in SAD.
The second part of the thesis investigated monoamine oxidase A (MAOA) gene methylation regarding its role in the pathogenesis of panic disorder as well as – applying a psychotherapy-epigenetic approach – its dynamic regulation during the course of cognitive behavioural therapy (CBT) in PD patients. First, MAOA hypomethylation was shown to be associated with panic disorder as well as with panic disorder severity. Second, in patients responding to treatment MAOA hypomethylation was shown to be reversible up to the level of methylation in healthy controls after the course of CBT. This increase in MAOA methylation along with successful psychotherapeutic treatment was furthermore shown to be associated with symptom improvement regarding agoraphobic avoidance in an independent replication sample of non-medicated patients with PD.
Taken together, in the future the presently identified epigenetic patterns might contribute to establishing targeted preventive interventions and personalized treatment options for social anxiety disorder or panic disorder, respectively.
For the differentiation of a embryonic stem cells (ESCs) to neuronal cells (NCs) a complex and coordinated gene regulation program is needed. One important control element for neuronal differentiation is the repressor element 1 silencing transcription factor (REST) complex, which represses neuronal gene expression in non-neuronal cells. Crucial effector proteins of the REST complex are small phosphatases such as the CTDSPs (C-terminal domain small phosphatases) that regulate polymerase II activity by dephosphorylating the C-terminal domain of the polymerase, thereby repressing target genes. The stepwise inactivation of REST, including the CTDSPs, leads to the induction of a neuron-specific gene program, which ultimately induces the formation of neurons. The spatio-temporal control of REST and its effector components is therefore a crucial step for neurogenesis.
In zebrafish it was shown that the REST-associated CTDSP2 is negatively regulated by the micro RNA (miR) -26b. Interestingly, the miR-26b is encoded in an intron of the primary transcript of CTDSP2. This gives the fundament of an intrinsic regulatory negative feedback loop, which is essential for the proceeding of neurogenesis. This feedback loop is active during neurogenesis, but inactive in non-neuronal cells. The reason for this is that the maturation of the precursor miR (pre-miR) to the mature miR-26 is arrested in non neuronal cells, but not in neurons. As only mature miRs are actively repressing genes, the regulation of miR-26 processing is an essential step in neurogenesis.
In this study, the molecular basis of miR-26 processing regulation in the context of neurogenesis was addressed. The mature miR is processed from two larger precursors: First the primary transcript is cleaved by the enzyme DROSHA in the nucleus to form the pre-miR. The pre-miR is exported from the nucleus and processed further through the enzyme DICER to yield the mature miR. The mature miR can regulate gene expression in association with the RNA-induced silencing complex (RISC).
Multiple different scenarios in which miR processing was regulated were proposed and experimentally tested. Microinjection studies using Xenopus leavis oocytes showed that slowdown or blockage of the nucleo-cytoplasmic transport are not the reason for delayed pre-miR-26 processing. Moreover, in vitro and in vivo miR-processing assays showed that maturation is most likely regulated through a in trans acting factor, which blocks processing in non neuronal cells.
Through RNA affinity chromatographic assays using zebrafish and murine lysates I was able to isolate and identify proteins that interact specifically with pre-miR-26 and could by this influence its biogenesis. Potential candidates are FMRP/FXR1/2, ZNF346 and Eral1, whose functional characterisation in the context of miR-biogenesis could now be addressed.
The second part of my thesis was executed in close colaboration with the laboratory of Prof. Albrecht Müller. The principal question was addressed how miR-26 influences neuronal gene expression and which genes are primarily affected. This research question could be addressed by using a cell culture model system, which mimics ex vivo the differentiation of ESCs to NCs via neuronal progenitor.
For the functional analysis of miR-26 knock out cell lines were generated by the CRISPR/Cas9 technology. miR-26 deficient ESC keep their pluripotent state and are able to develop NPC, but show major impairment in differentiating to NCs. Through RNA deep sequencing the miR-26 induced transcriptome differences could be analysed.
On the level of mRNAs it could be shown, that the expression of neuronal gene is downregulated in miR-26 deficient NCs. Interestingly, the deletion of miR-26 leads to selectively decreased levels of miRs, which on one hand regulate the REST complex and on the other hand are under transcriptional control by REST themself. This data and the discovery that induction of miR-26 leads to enrichment of other REST regulating miRs indicates that miR-26 initiates neurogenesis through stepwise inactivation of the REST complex.
This dissertation is divided into three studies by addressing the following constitutive research questions in the context of the biotechnology industry: (1) How do different types of inter-firm alliances influence a firm’s R&D activity? (2) How does an increasing number and diversity of alliances in a firm’s alliance portfolio affect its R&D activity? (3) What is the optimal balance between exploration and exploitation? (1) To answer these research questions the first main chapter analyzes the impact of different types of alliances on the R&D activities of successful firms in the biotechnology industry. Following the use of a new approach to measuring changes in research activities, the results show that alliances are used to specialize in a certain research field, rather than to enter a completely new market. This effect becomes smaller when the equity involvement of the partners in the alliance project increases. (2) The second main chapter analyzes the impact on innovation output of having heterogeneous partners in a biotechnology firm’s alliance portfolio. Previous literature has stressed that investment in the heterogeneity of partners in an alliance portfolio is more important than merely engaging in multiple collaborative agreements. The analysis of a unique panel dataset of 20 biotechnology firms and their 8,602 alliances suggests that engaging in many alliances generally has a positive influence on a firm’s innovation output. Furthermore, maintaining diverse alliance portfolios has an inverted U-shaped influence on a firm’s innovation output, as managerial costs and complexity levels become too high. (3) And the third main chapter investigates whether there is an optimal balance to be found between explorative and exploitative innovation strategies. Previous literature states that firms that are ambidextrous (i.e., able to focus on exploration and exploitation simultaneously) tend to be more successful. Using a unique panel dataset of 20 leading biotechnology firms and separating their explorative and exploitative research, the chapter suggests that firms seeking to increase their innovation output should avoid imbalances between their explorative and exploitative innovation strategies. Furthermore, an inverted U-shaped relationship between a firm’s relative research attention on exploration and its innovation output is found. This dissertation concludes with the results of the dissertation, combines the findings, gives managerial implications and proposes areas for potential further research.
Fusobacterium nucleatum is an emerging cancer-associated bacterium belonging to the Fusobacteriota phylum, which is evolutionary distant from all model bacteria. Recent analysis generated global fusobacterial RNA maps, which enabled the discovery of 24 small noncoding RNAs (sRNAs) in F. nucleatum. Notably, the σE-dependent sRNA FoxI and FoxJ act as a posttranscriptional regulator of several cell envelope proteins. The σE-dependent sRNAs in Escherichia coli and Salmonella require the RNA chaperone Hfq for their functions. Intriguingly, F. nucleatum seems to have no homologs of the three common RNA-binding proteins (RBPs) CsrA, Hfq and ProQ. However, it remains unclear if other families of RBPs act in concert with FoxI, FoxJ and other fusobacterial sRNAs.
This work has successfully established a 14-mer capture tagged-sRNA affinity purification procedure initially using 6S RNA as a proof-of-concept. Applying this method to 19 different F. nucleatum sRNAs led to a comprehensive mapping of sRNA-binding proteins in this bacterium. This screen identified a total of 75 proteins significantly enriched across all sRNAs and prominent in ribosomal proteins, uncharacterized proteins and enzymes associated with metabolism. This work further focused on the homologs of two KH domain proteins KhpA and KhpB, which were recently recognized as global RBPs in various Gram-positive bacteria such as Streptococcus pneumoniae, Clostridioides difficile, and Enterococcus faecalis.
Comparative analyses revealed conserved domain composition and gene synteny of KhpA and KhpB across F. nucleatum, S. pneumoniae, C. difficle and E. faecalis, indicating conserved roles of these proteins in bacteria. Further protein-protein interaction assays and global RNA targets profiling demonstrated that KhpA and KhpB form dimers and act together as broad RBPs, binding to sRNAs, mRNAs and tRNAs in F. nucleatum. Further functional characterizations unveiled that KhpA/B are required for the growth of F. nucleatum under nutrient limitation conditions and impact cell morphology. Additionally, the two RBPs also influence global gene expression in F. nucleatum affecting various bacterial physiological processes, including ethanolamine utilization.
In summary, this work established a sRNA-centric approach for screening sRNA-binding proteins in F. nucleatum. Further, the assay could be applied in other non-model organisms and is feasible to screen multiple sRNA baits in parallel for sRNA-interactors. By applying this procedure to nearly all known fusobacterial sRNAs, this work generated an extensive map of sRNA-interacting proteins in F. nucleatum. Molecular and genetic studies identified that KhpA/B act as major RBPs and gene regulators in F. nucleatum, representing important first steps in elucidating key players of post-transcriptional control at the root of the bacterial phylogenetic tree.
Blumeria graminis, the obligate biotrophic grass powdery mildew, is a highly pathogenic fungus capable of inflicting foliar diseases and of causing severe yield losses. There is asexual and sexual propagation in the life cycle of B. graminis. In the epidemiological processes of this pathogen, both types of spores - asexual conidia and sexual ascospores – are crucial.
Conidia of B. graminis are demonstrated to perceive cuticular very-long-chain aldehydes as molecular signal substances notably promoting germination and differentiation of the infection structure (the appressorium) – the prepenetration processes – in a concentration- and chain-length-dependent manner. Conidial germination and appressorium formation are known to be dramatically impeded by the presence of free water on the host surface. However, sexually formed ascospores are reported to easily germinate immersed in water. There are abundant assays on conidial prepenetration processes. However, with respect to the stimulating effects of very-long-chain aldehydes and to the influence of the presence of free water, ascosporic prepenetration processes are still obscure.
In order to study the effects of very-long-chain aldehydes on the ascosporic prepenetration processes of wheat powdery mildew fungus B. graminis f. sp. tritici, Formvar®-based in vitro systems were applied to exclude the secondary host effects (such as host resistance) and to reproducibly provide homogeneous hydrophobic substratum surfaces. By the presence of even-numbered very-long-chain aldehydes (C22 - C30), the appressorium formation of the ascospores was notably triggered in a chain-length dependent manner. N-octacosanal (C28) was the most inducing aldehyde tested. Unlike conidia, ascospores could easily differentiate immersed in water and showed a more variable differentiation pattern even with a single germ tube differentiating an appressorium.
To evaluate the alternative management against barley powdery mildew fungus Blumeria graminis f. sp. hordei, the suppressing effects of UV-C irradiation on the developmental processes of conidia on artificial surfaces (in vitro) and on host leaf surfaces (in vivo) were assayed. In vitro and in vivo, a single dose of 100 J m-2 UV-C was adequate to decrease conidial germination to < 20 % and to reduce appressorium formation to values < 5 %. UV-C irradiation negatively affected colony pustule size and vegetative propagation. Under photoperiodic conditions of 2h light/16h dark, 6h dark/12h light or 6h dark/18h light, UV-C-treated conidia showed photoreactivation (photo-recovery). White light-mediated photoreactivation was most effective immediately after UV-C irradiation, suggesting that a prolonged phase of darkness after UV-C application increased the efficacy of management against B. graminis. UV-C irradiation increased transcript levels of three putative photolyase genes in B. graminis, indicating those were probably involved in photoreactivation processes. However, mere white light or blue light (wavelength peak, 475 nm) could not induce the up-regulation of these genes.
To determine whether visible light directly impacted the prepenetration and penetration processes of this powdery mildew pathogen, conidia of Blumeria graminis f. sp. hordei and Blumeria graminis f. sp. tritici were inoculated onto artificial surfaces and on host leaf surfaces. Samples were analyzed after incubation periods under light conditions (white light intensity and spectral quality). Increasing white light intensities directly impaired conidial prepenetration processes in vitro but not in vivo. Applying an agar layer under the wax membrane compensated for conidial water loss as a consequence of high white light irradiation. Light stimulated in vitro and in vivo the appressorium elongation of B. graminis in a wavelength-dependent manner. Red light was more effective to trigger the elongation of appressorium than blue light or green light assayed.
Taken together, the findings of this study demonstrate that 1) a host surface recognition principle based on cuticular very-long-chain aldehydes is a common feature of B. graminis f. sp. tritici ascospores and conidia; 2) the transcriptional changes of three putative photolyase genes in B. graminis are mediated in a UV-C-dependent manner; 3) light directly affected the (pre)penetration processes of B. graminis.
Microbial species (bacteria and archaea) in the gut are important for human health in various ways. Not only does the species composition vary considerably within the human population, but each individual also appears to have its own strains of a given species. While it is known from studies of bacterial pan-genomes, that genetic variation between strains can differ considerably, such as in Escherichia coli, the extent of genetic variation of strains for abundant gut species has not been surveyed in a natural habitat. This is mainly due to the fact that most of these species cannot be cultured in the laboratory. Genetic variation can range from microscale genomic rearrangements such as small nucleotide polymorphism (SNP) to macroscale large genomic rearrangements like structural variations. Metagenomics offers an alternative solution to study genetic variation in prokaryotes, as it involves DNA sequencing of the whole community directly from the environment. However, most metagenomic studies to date only focus on variation in gene abundance and hence are not able to characterize genetic variation (in terms of presence or absence of SNPs and genes) of gut microbial strains of individuals.
The aim of my doctorate studies was therefore to study the extent of genetic variation in the genomic sequence of gut prokaryotic species and its phenotypic effects based on: (1) the impact of SNP variation in gut bacterial species, by focusing on genes under selective pressure and (2) the gene content variation (as a proxy for structural variation) and their effect on microbial species and the phenotypic traits of their human host.
In the first part of my doctorate studies, I was involved in a project in which we created a catalogue of 10.3 million SNPs in gut prokaryotic species, based on metagenomes. I used this to perform the first SNP-based comparative study of prokaryotic species evolution in a natural habitat. Here, I found that strains of gut microbial species in different individuals evolve at more similar rates than the strains within an individual. In addition, I found that gene evolution can be uncoupled from the evolution of its originating species, and that this could be related to selective pressure such as diet, exemplified by galactokinase gene (galK). Despite the individuality (i.e. uniqueness of each individual within the studied metagenomic dataset) in the SNP profile of the gut microbiota that we found, for most cases it is not possible to link SNPs with phenotypic differences. For this reason I also used gene content as a proxy to study structural variation in metagenomes.
In the second part of my doctorate studies, I developed a methodology to characterize the variability of gene content in gut bacterial species, using metagenomes. My approach is based on gene deletions, and was applied to abundant species (demonstrated using a set of 11 species). The method is sufficiently robust as it captures a similar range of gene content variability as has been detected in completely sequenced genomes. Using this procedure I found individuals differ by an average of 13% in their gene content of gut bacterial strains within the same species. Interestingly no two individuals shared the same gene content across bacterial species. However, this variation corresponds to a lower limit, as it is only accounts for gene deletion and not insertions. This large variation in the gene content of gut strain was found to affect important functions, such as polysaccharide utilization loci (PULs) and capsular polysaccharide synthesis (CPS), which are related with digestion of dietary fibers.
In summary, I have shown that metagenomics based approaches can be robust in characterizing genetic variation in gut bacterial species. I also illustrated, using examples both for SNPs and gene content (galK, PULs and CPS), that this genetic variation can be used to predict the phenotypic characteristics of the microbial species, as well as predicting the phenotype of their human host (for example, their capacity to digest different food components). Overall, the results of my thesis highlight the importance of characterizing the strains in the gut microbiome analogous to the emerging variability and importance of human genomics.
The discovery, heterologous expression, and characterization of channelrhodopsin-2 (ChR2) – a light-sensitive cation channel found in the green alga Chlamydomonas reinhardtii – led to the success of optogenetics as a powerful technology, first in neuroscience. ChR2 was employed to induce action potentials by blue light in genetically modified nerve cells. In optogenetics, exogenous photoreceptors are expressed in cells to manipulate cellular activity. These photoreceptors were in the beginning mainly microbial opsins. During nearly two decades, many microbial opsins and their mutants were explored for their application in neuroscience. Until now, however, the application of optogenetics to plant studies is limited to very few reports. Several optogenetic strategies for plant research were demonstrated, in which most attempts are based on non-opsin optogenetic tools. Opsins need retinal (vitamin A) as a cofactor to generate the functional protein, the rhodopsin. As most animals have eyes that contain animal rhodopsins, they also have the enzyme - a 15, 15'-Dioxygenase - for retinal production from food-supplied provitamin A (beta-carotene). However, higher plants lack a similar enzyme, making it difficult to express functional rhodopsins successfully in plants. But plant chloroplasts contain plenty of beta-carotene. I introduced a gene, coding for a 15, 15'-Dioxygenase with a chloroplast target peptide, to tobacco plants. This enzyme converts a molecule of β-carotene into two of all-trans-retinal. After expressing this enzyme in plants, the concentration of all-trans-retinal was increased greatly. The increased retinal concentration led to increased expression of several microbial opsins, tested in model higher plants. Unfortunately, most opsins were observed intracellularly and not in the plasma membrane. To improve their localization in the plasma membrane, some reported signal peptides were fused to the N- or C-terminal end of opsins. Finally, I helped to identify three microbial opsins -- GtACR1 (a light-gated anion channel), ChR2 (a light-gated cation channel), PPR (a light-gated proton pump) which express and work well in the plasma membrane of plants. The transgene plants were grown under red light to prevent activation of the expressed opsins. Upon illumination with blue or green light, the activation of these opsins then induced the expected change of the membrane potential, dramatically changing the phenotype of plants with activated rhodopsins.
This study is the first which shows the potential of microbial opsins for optogenetic research in higher plants, using the ubq10 promoter for ubiquitous expression. I expect this to be just the beginning, as many different opsins and tissue-specific promoters for selective expression now can be tested for their usefulness. It is further to be expected that the here established method will help investigators to exploit more optogenetic tools and explore the secrets, kept in the plant kingdom.
A large variety of sex determination systems have been described in fish. However, almost no information is available about sex determination in the classical fish models, the zebrafish Danio rerio and the pufferfish Takifugu rubripes. A DNA-binding protein gene called dmrt1bY (or DMY) has been recently described as an outstanding candidate for the primary sex-determining gene in the medaka fish Oryzias latipes. But this gene is not the universal master sex-determining gene in teleost fish, since dmrt1bY is not found in most other fishes. Hence, other fish models need to be examined including the platyfish Xiphophorus maculatus. Xiphophorus maculatus has three types of sex chromosomes (X, Y and W; females are XX, WX or WY; males are XY or YY). Its gonosomes are at an early stage of differentiation. The sex-determining locus on the sex chromosomes is flanked by two receptor tyrosine kinase genes, the Xmrk oncogene and its protooncogenic progenitor gene egfrb, which both delimit a region of about 0.6 centiMorgans. This situation should allow the positional cloning of the sex-determining gene (SD) of the platyfish. For this purpose, Bacterial Artificial Chromosome (BAC) contigs were assembled from a BAC library of XY males constructed in our laboratory, using the oncogene Xmrk, egfrb, as well as a Y-specific pseudogene called ps-criptY as starting points. The ps-criptY sequence was found to be closely linked to the SD gene, since no recombination was observed between SD and ps-criptY in more than 400 individuals tested. Two major BAC contigs for the X chromosome (about 2.5 Mb) and three major BAC contigs for the Y chromosome (about 3.5 Mb) were built up and analyzed by strategic sequencing. These are some of the largest contigs ever assembled for the sex chromosomes of a non-mammalian vertebrate species. The molecular analysis of the ps-criptY contig was the major objective of this work. The Y-specific ps-criptY contig has been extended over 1 Mb in this work with 58 identified molecular markers. Approximatively 700 kb of non-redundant sequences has been obtained from this contig by strategic sequencing. Numerous Y-linked markers from the contig including ps-criptY were also detected on the X chromosome. Nevertheless, major structural differences were observed between the X and Y chromosomes. Particularly, a large region, which is present at one copy on the X chromosome and contains several candidate genes, was found to be duplicated on the Y chromosome. Evidence for an inversion in the sex-determining region and for the Y-specific accumulation of a repeated sequence called XIR was also obtained. Such events might correspond to an initiation of differentiation between both types of gonosomes. Accumulation of transposable elements was also observed in the ps-criptY contig. A DNA transposable element, helitron, was isolated from the sex-determining region of X. maculatus. Three copies of helitron are located on the ps-criptY contig and one copy on the X-linked contig (helitron has roughly 15 copies per haploid genome). No in-frame stop codon, truncation or intron was found in these four copies, which present high nucleotide identities to each other. This suggests that helitron elements might be active or have been recently active in X. maculatus. A consensus open reading frame of helitron was also assembled from medaka (Oryzias latipes) genomic sequences. Two candidate genes from the ps-criptY contig are also located on the W chromosome in the X. maculatus Usumacinta strain (heterogamety). These markers show the relationship between the different types of gonosomes and allow to compare the male and female heterogameties in the platyfish. Several gene candidates were identified in the ps-criptY contig. However, some of them such as msh2, cript, igd and acr probably correspond to pseudogenes. Interestingly, a novel gene, called swimy, is exclusively expressed in spermatogonia of the adult testis. Swimy is a gene encoding a DNA-binding protein with several putative DNA-binding domains. The data suggest that swimy is a very promising candidate for the master SD gene. Another novel gene, which is called fredi and encodes a novel helix-turn-helix protein, is predominately expressed in the adult testis and currently under scrutiny. There is no doubt that the master SD gene of X. maculatus will be identified by positional cloning. Further molecular analysis of the contigs built in this work will shed new light on the molecular mechanism of sex determination and the evolution of sex chromosomes in fish.
PTPN22 encodes the lymphoid tyrosine phosphatase Lyp that can dephosphorylate Lck, ZAP-70 and Fyn to attenuate TCR signaling. A single-nucleotide polymorphism (C1858T) causes a substitution from arginine (R) to tryptophan (W) at 620 residue (R620W). Lyp-620W has been confirmed as a susceptible allele in multiple autoimmune diseases, including type 1 diabetes (T1D). Several independent studies proposed that the disease-associated allele is a gain-of-function variant. However, a recent report found that in human cells and a knockin mouse containing the R620W homolog that Ptpn22 protein degradation is accelerated, indicating Lyp-620W is a loss-of-function variant. Whether Lyp R620W is a gain- or loss-of-function variant remains controversial. To resolve this issue, we generated two lines (P2 and P4) of nonobese diabetic (NOD) mice in which Ptpn22 can be inducibly silenced by RNAi. We found long term silencing of Ptpn22 increased spleen cellularity and regulatory T (Treg) cell numbers, replicating the effect of gene deletion reported in the knockout (KO) B6 mice. Notably, Ptpn22 silencing also increased the reactivity and apoptotic behavior of B lymphocytes, which is consistent with the reduced reactivity and apoptosis of human B cells carrying the alleged gain-of-function PTPN22 allele. Furthermore, loss of Ptpn22 protected P2 KD mice from spontaneous and Cyclophosphamide (CY) induced diabetes. Our data support the notion that Lyp-620W is a gain-of-function variant. Moreover, Lyp may be a valuable target for the treatment of autoimmune diseases.
This thesis investigates the charged moments and the symmetry-resolved
entanglement entropy in the context of the AdS3/CFT2 duality. In the
first part, I focus on the holographic U(1) Chern-Simons-Einstein gravity,
a toy model of AdS3/CFT2 with U(1) Kac-Moody symmetry. I
start with the vacuum background with a single entangling interval. I
show that, apart from a partition function in the grand canonical ensemble,
the charged moments can also be interpreted as the two-point
function of vertex operators on the replica surface. For the holographic
description, I propose a duality between the bulk U(1) Wilson line and
the boundary vertex operators. I verify this duality by deriving the
effective action for the Chern-Simons fields and comparing the result
with the vertex correlator. In the twist field approach, I show that the
charged moments are given by the correlation function of the charged
twist operators and the additional background operators. To solve the
correlation functions involved, I prove the factorization of the U(1) extended
conformal block into a U(1) block and a Virasoro block. The
general expression for the U(1) block is derived by directly summing
over the current descendant states, and the result shows that it takes
an identical form as the vertex correlators. This leads to the conclusion
that the disjoint Wilson lines compute the neutral U(1) block. The final
result for the symmetry-resolved entanglement entropy shows that
it is always charge-independent in this model. In the second part, I
study charged moments in higher spin holography, where the boundary
theory is a CFT with W3 symmetry. I define the notion of the
higher spin charged moments by introducing a spin-3 modular charge
operator. Restricting to the vacuum background with a single entangling
interval, I employ the grand canonical ensemble interpretation
and calculate the charged moments via the known higher spin black
hole solution. On the CFT side, I perform a perturbative expansion for
the higher spin charged moments in terms of the connected correlation
functions of the spin-3 modular charge operators. Using the recursion
relation for the correlation functions of the W3 currents, I evaluate the
charged moments up to the quartic order of the chemical potential. The
final expression matches with the holographic result. My results both
for U(1) Chern-Simons Einstein gravity and W3 higher spin gravity
constitute novel checks of the AdS3/CFT2 correspondence.
Virulent Agrobacterium tumefaciens strains transfer and integrate a DNA region of the tumor-inducing (Ti) plasmid, the T-DNA, into the plant genome and thereby cause crown gall disease. The most essential genes required for crown gall development are the T-DNA-encoded oncogenes, IaaH (indole-3-acetamide hydrolase), IaaM (tryptophan monooxygenase) for auxin, and Ipt (isopentenyl transferase) for cytokinin biosynthesis. When these oncogenes are expressed in the host cell, the levels of auxin and cytokinin increase and cause cell proliferation. The aim of this study was to unravel the molecular mechanisms, which regulate expression of the agrobacterial oncogenes in plant cells. Transcripts of the three oncogenes were expressed in Arabidopsis thaliana crown galls induced by A. tumefaciens strain C58 and the intergenic regions (IGRs) between their coding sequences (CDS) were proven to have promoter activity in plant cells. These promoters possess eukaryotic sequence structures and contain cis-regulatory elements for the binding of plant transcription factors. The high-throughput protoplast transactivation (PTA) system was used and identified the Arabidopsis thaliana transcription factors WRKY18, WRKY40, WRKY60 and ARF5 to activate the Ipt oncogene promoter. No transcription factor promoted the activity of the IaaH and IaaM promoters, despite the fact that the sequences contained binding elements for type B ARR transcription factors. Likewise, the treatment of Arabidopsis mesophyll protoplasts with cytokinin (trans-zeatin) and auxin (1-NAA) exerted no positive effect on IaaH and IaaM promoter activity. In contrast, the Ipt promoter strongly responded to a treatment with auxin and only modestly to cytokinin. The three Arabidopsis WRKYs play a role in crown gall development as the wrky mutants developed smaller crown galls than wild-type plants. The WRKY40 and WRKY60 genes responded very quickly to pathogen infection, two and four hours post infection, respectively. Transcription of the WRKY18 gene was induced upon buffer infiltration, which implicates a response to wounding. The three WRKY proteins interacted with ARF5 and with each other in the plant nucleus, but only WRKY40 together with ARF5 increased activation of the Ipt promoter. Moreover, ARF5 activated the Ipt promoter in an auxin-dependent manner. The severe developmental phenotype of the arf5 mutant prevented studies on crown gall development, nevertheless, the reduced crown gall growth on the transport inhibitor response 1 (TIR1) tir1 mutant, lacking the auxin sensor, suggested that auxin signaling is required for optimal crown gall development. In conclusion, A. tumefaciens recruits the pathogen defense related WRKY40 pathway to activate Ipt expression in T-DNA-transformed plant cells. IaaH and IaaM gene expression seems not to be controlled by transcriptional activators, but the increasing auxin levels are signaled via ARF5. The auxin-depended activation of ARF5 boosts expression of the Ipt gene in combination with WRKY40 to increase cytokinin levels and induce crown gall development.
This dissertation explores the local gazetteers of West Lake that were compiled by literati of the Ming dynasty. In 1547, the first West Lake gazetteer was published by the local literatus of Hangzhou, Tian Rucheng 田汝成. In the late sixteenth and early seventeenth centuries, accompanying the huge enthusiasm for West Lake and the flourishing of its tourism, the production of West Lake gazetteers reached its peak. This trend, however, was reduced by the turmoils in the last years of the Ming and the dynastic transition, a period when West Lake had also experienced destruction. Nevertheless, the practice was resumed in the first decades of the Qing dynasty by some literati who had survived the disasters. One prominent work of this period was compiled by the Ming loyalist and “remnant subject” Zhang Dai 張岱, who wrote an author’s preface in 1671. This dissertation can be divided into two parts. The first part focuses on the editorial principles of compilers, e.g., which materials are included, how they are organized and presented. It explores various possible intentions of the compilers, such as scholarly and documentary, practical and oriented toward tour-guiding, didactic and educational, and personal and nostalgic ones. The second part focuses on some of the perceptions, attitudes, and values of literati focusing on West Lake. The discourses analyzed in this part include West Lake as a hybrid between metropolitan city and sheer wilderness, as a national symbol and object of nostalgia of the lost dynasty, and as a place of pleasure-seeking and indulgence. While a discourse often had a long tradition and historical development, the emphasis of the study is on the late sixteenth and early seventeenth centuries, i.e., the late Ming.
In this study, we developed an innovative nanoparticle formulation to facilitate the delivery of antitumor antibodies to tumor sites. The study commenced with the utilization of 13 bispecific antibody fusion proteins, which targeted the Fn14 receptor, thereby validating the pivotal role of crosslinking in Fn14 receptor activation. Subsequently, gold nanoparticles were activated using COOH-PEG-SH in combination with EDC/NHS, and subsequently conjugated with two Fn14-targeting antibodies, PDL192 and 5B6. Following this, a pH-sensitive shell was generated on the outer layer of the antibody-coupled gold nanoparticles through the application of chemically modified polylysine. The resultant complexes, termed MPL-antibody-AuNP, demonstrated a release profile reminiscent of the tumor microenvironment (TME). Notably, these complexes released antibody-AuNPs only in slightly acidic conditions while remaining intact in neutral or basic environments. Functionality analysis further affirmed the pH-sensitive property of MPL-antibody-AuNPs, demonstrating that the antibodies only initiated potent Fn14 activation in slightly acidic environments. This formulation holds potential for applicability to antibodies or ligands targeting the 80 TNFRSF family, given that gold nanoparticles successfully served as platforms for antibody crosslinking, thereby transforming these antibodies into potent agonists. Moreover, the TME disintegration profile of MPL mitigates the potential cytotoxic effects of antibodies, thereby circumventing associated adverse side effects. This study not only showcases the potential of nanoparticle formulations in targeted therapy, but also provides a solid foundation for further investigations on their clinical application in the context of targeting category II TNFRSF receptors with antibodies or ligands.
Plant-derived natural products and their analogs continue to play an important role in the discovery of new drugs for the treatment of human diseases. Potentially promising representatives of secondary metabolites are the naphthylisoquinoline alkaloids, which show a broad range of activities against protozoan pathogens, such as plasmodia, leishmania, and trypanosoma. Due to the increasing resistance of those pathogens against current therapies, highly potent novel agents are still urgently needed. Thus, it is worthy to discover new naphthylisoquinoline alkaloids hopefully with pronounced bioactivities by isolation from plants or by synthesis. The naphthylisoquinoline alkaloids are biosynthetically related to another class of plant-derived products, the naphthoquinones, some of which have been recently found to display excellent anti-multiple myeloma activities without showing any cytotoxicities on normal blood cells. Multiple myeloma still remains incurable, although remissions may be induced with co-opted therapeutic treatments. Therefore, more potent naphthoquinones are urgently required, and can be obtained by isolation from plants or by synthesis. In detail, the results in this thesis are listed as follows: 1) Isolation and characterization of naphthylisoquinoline alkaloids from the stems of a Chinese Ancistrocladus tectorius species. Nine new naphthylisoquinoline alkaloids, named ancistectorine A1 (60), N-methylancistectorine A1 (61), ancistectorine A2 (62a), 5-epi-ancistectorine A2 (62b), 4'-O-demethylancistectorine A2 (63), ancistectorine A3 (64), ancistectorine B1 (65), ancistectorine C1 (66), and 5-epi-ancistrolikokine D (67) were isolated from the Chinese A. tectorius and fully characterized by chemical, spectroscopic, and chiroptical methods. Furthermore, the in vitro anti-infectious activities of 60-62 and 63-66 have been tested. Three of the metabolites, 61, 62a, and 62b, exhibited strong antiplasmodial activities against the strain K1 of P. falciparum without showing significant cytotoxicities. With IC50 values of 0.08, 0.07, and 0.03 μM, respectively, they were 37 times more active than the standard chloroquine (IC50 = 0.26 μM). Moreover, these three compounds displayed high antiplasmodial selectivity indexes ranging from 100 to 3300. According to the TDR/WHO guidelines, they could be considered as lead compounds. In addition, seven alkaloids, 69-74 (structures not shown here), were isolated from A. tectorius that were known, but new to the plant, together with another fourteen known compounds (of these, only the structures of the three main alkaloids, 5a, 5b, and 78 are shown here), which had been previously found in the plant. The three metabolites ancistrocladine (5a), hamatine (5b), and (+)-ancistrocline (78) were found to show no or moderate activities against the MM cell lines. 2) Isolation and characterization of naphthylisoquinoline alkaloids from the root bark of a new, botanically yet undescribed Congolese Ancistrocladus species. An unprecedented dimeric Dioncophyllaceae-type naphthylisoquinoline alkaloid, jozimine A2 (84), as first recognized by G. Bauckmann from an as yet undescribed Ancistrocladus species, was purified and characterized as part of this thesis. Its full structural assignment was achieved by spectroscopic and chiroptical methods, and further confirmed by an X-ray diffraction analysis, which had never succeeded for any other dimeric naphthylisoquinoline alkaloids before. Structurally, the dimer is composed of two identical 4'-O-demethyldioncophylline A halves, coupled through a sterically hindered central axis at C-3',3'' of the two naphthalene moieties. Pharmacologically, jozimine A2 (84) showed an extraordinary antiplasmodial activity (IC50 = 1.4 nM) against the strain NF54 of P. falciparum. Beside jozimine A2 (85), another new alkaloid, 6-O-demethylancistrobrevine C (84), and four known ones, ancistrocladine (5a), hamatine (5b), ancistrobrevine C (86), and dioncophylline A (6) were isolated from the Ancistrocladus species, the latter in a large quantity (~500 mg), showing that the plant produces Ancistrocladaceae-type, mixed-Ancistrocladaceae/Dioncophyllaceae-type, and Dioncophyllaceae-type naphthyl- isoquinoline alkaloids. Remarkably, it is one of the very few plants, like A. abbreviatus, and A. barteri, that simultaneously contain typical representatives of all the above three classes of alkaloids. 3) Semi-synthesis of jozimine A2 (85), 3'-epi-85, jozimine A3 (93) and other alkaloids from dioncophylline A (6). The dimeric naphthylisoquinoline alkaloids, jozimine A2 (85) and 3'-epi-85, constitute rewarding synthetic targets for a comparative analysis of their antiplasmodial activities and for a further confirmation of the assigned absolute configurations of the isolated natural product of 85. They were semi-synthesized in a four-step reaction sequence from dioncophylline A (6) in cooperation with T. Büttner. The key step was a biomimetic phenol-oxidative dimerization at C-3' of the N,O-dibenzylated derivative of 89 by utilizing Pb(OAc)4. This is the first time that the synthesis of such an extremely sterically hindered (four ortho-substituents) naphthylisoquinoline alkaloid – with three consecutive biaryl axes! – has been successfully achieved. A novel dimeric naphthylisoquinoline, jozimine A3 (93), bearing a 6',6''-central biaryl axis, was semi-synthesized from 5'-O-demethyldioncophylline A (90) by a similar biomimetic phenol-oxidative coupling reaction as a key step, by employing Ag2O. HPLC analysis with synthetic reference material of 3'-epi-85 and 93 for co-elution revealed that these two alkaloids clearly are not present in the crude extract of the Ancistrocladus species from which jozimine A2 (85) was isolated. This evidences that jozimine A2 (85) is very specifically biosynthesized by the plant with a high regio- and stereoslectivity. Remarkably, the two synthetic novel dimeric naphthylisoquinoline alkaloids 3'-epi-85 and 93 were found to display very good antiplasmodial activities, albeit weaker than that of the natural and semi-synthetic product 85. Additionally, the two compounds 3'-epi-85 and 93 possessed high or moderate selectivity indexes, which were much lower than that of 85. However, they can still be considered as new lead structures. Two unprecedented oxidative products of dioncophylline A, the diastereomeric dioncotetralones A (94a) and B (94b), were synthesized from dioncophylline A (6) in a one-step reaction. Remarkably, the aromatic properties in the “naphthalene” and the “isoquinoline” rings of 94a and 94b are partially lost and the “biaryl” axis has become a C,C-double bond, so that the two halves are nearly co-planar to each other, which has never been found among any natural or synthetic naphthylisoquinoline alkaloid. Their full structural characterization was accomplished by spectroscopic methods and quantum-chemical CD calculations (done by Y. Hemberger). The presumed reaction mechanism was proposed in this thesis. In addition, one of the two compounds, 94a, exhibited a highly antiplasmodial activity (IC50 = 0.09 μM) with low cytotoxicity, and thus, can be considered as a new promising lead structure. Its 2'-epi-isomer, 94b, was inactive, evidencing a significant effect of chirality on the bioactivity. Of a number of naphthylisoquinoline alkaloids tested against the multiple-myeloma cell lines, the three compounds, dioncophylline A (6), 4'-O-demethyldioncophylline A (89), and 5'-O-demethyldioncophylline A (90) showed excellent activities, even much stronger than dioncoquinones B (10), C (102), the epoxide 175, or the standard drug melphalan. 4) Isolation and characterization of bioactive naphthoquinones from cell cultures of Triphyophyllum peltatum. Three new naphthoquinones, dioncoquinones C (102), D (103), and E (104), the known 8-hydroxydroserone (105), which is new to this plant, and one new naphthol dimer, triphoquinol A (107), were isolated from cell cultures of T. peltatum in cooperation with A. Irmer. Dioncoquinone C (102) showed an excellent activity against the MM cells, very similar to that of the previously found dioncoquinone B (10), without showing any inhibitory effect on normal cells. The other three naphthoquinones, 103105, were inactive or only weakly active. 5) Establishment of a new strategy for a synthetic access to dioncoquinones B (10) and C (102) on a large scale for in vivo experiments and for the synthesis of their analogs for first SAR studies. Before the synthesis of dioncoquinone B (10) described in this thesis, two synthetic pathways had previously been established in our group. The third approach described here involved the preparation of the joint synthetic intermediate 42 with the previous two routes. The tertiary benzamide 135 was ortho-deprotonated by using s-BuLi/TMEDA, followed by transmetallation with MgBr2▪2Et2O, and reaction with 2-methylallyl bromide (139). It resulted in the formation of ortho-allyl benzamide 140, which was cyclized by using methyl lithium to afford the naphthol 42. This strategy proved to be the best among the established three approaches with regard to its very low number of steps and high yields. By starting with 136, this third strategy yielded the related bioactive natural product, dioncoquinone C (102), which was accessed by total synthesis for the first time. To identify the pharmacophore of the antitumoral naphthoquinones, a library of dioncoquinone B (10) and C (102) analogs were synthesized for in vitro testing. Among the numerous naphthoquinones tested, the synthetic 7-O-demethyldioncoquinone C (or 7-O-hydroxyldioncoquinone B) (145), constitutes another promising basic structure to develop a new anti-MM agent. Furthermore, preliminary SAR results evidence that the three hydroxy functions at C-3, C-5, and C-6 are essential for the biological properties as exemplarily shown through the compounds 10, 102, and 145. All other mixed OH/OMe- or completely OMe-substituted structures were entirely inactive. By a serendipity the expoxide 175 was found to display the best anti-MM activity of all the tested isolated metabolites from T. peltatum, the synthesized naphthoquinones, and their synthetic intermediates. Toxic effects of 175 on normal cells were not observed, in contrast to the high toxicities of all other epoxides. Thus, the anti-MM activity of 175 is of high selectivity. The preliminary SAR studies revealed that the 6-OMe group in 175 is required, thus differed with the above described naphthoquinones (where 6-OH is a requisite in 10, 102, and 145), which evidenced potentially different modes of action for these two classes of compounds. 6) The first attempted total synthesis of the new naturally occurring triphoquinone (187a), which was recently isolated from the root cultures of T. peltatum in our group. A novel naphthoquinone-naphthalene dimer, 187a (structure shown in Chapter 10), was isolated in small quantities from the root cultures of T. peltatum. Thus, its total synthesis was attempted for obtaining sufficient amounts for selected biotestings. The key step was planned to prepare the extremely sterically hindered (four ortho-substituents) binaphthalene 188 by a coupling reaction between the two 2-methylnaphthalene derivatives. Test reactions involving a system of two simplified 2-methylnaphthylboron species and 2-methylnaphthyl bromide proved the Buchwald ligand as most promising. The optimized conditions were then applied to the two true - highly oxygenated - coupling substrates, between the 2-methylnaphthylboron derivatives 210, 211, 213, or 214 and the 2-methylnaphthyl iodides (or bromides) 215 (206), 215 (206), 212 (205), or 212 (205), respectively. Unfortunately, this crucial step failed although various bases and solvent systems were tested. This could be due to the high electron density of the two coupling substrates, both bearing strongly OMOM/OMe-donating function groups. Therefore, a more powerful catalyst system or an alternative synthetic strategy must be explored for the total synthesis of 187a. 7) Phytochemical investigation of the Streptomyces strain RV-15 derived from a marine sponge. Cyclodysidins A-D (216-219), four new cyclic lipopeptides with a- and ß-amino acids, were isolated from the Streptomyces strain RV15 derived from a marine sponge by Dr. U. Abdelmohsen. Their structures were established as cyclo-(ß-AFA-Ser-Gln-Asn-Tyr-Asn-Ser-Thr) by spectroscopic analysis using 2D NMR techniques and CID-MS/MS in the course of this thesis. In conclusion, the present work contributes to the discovery of novel antiplasmodial naphthylisoquinoline alkaloids and antitumoral naphthoquinones, which will pave the way for future studies on these two classes of compounds.
This thesis is devoted to Bernoulli Stochastics, which was initiated by Jakob Bernoulli more than 300 years ago by his master piece 'Ars conjectandi', which can be translated as 'Science of Prediction'. Thus, Jakob Bernoulli's Stochastics focus on prediction in contrast to the later emerging disciplines probability theory, statistics and mathematical statistics. Only recently Jakob Bernoulli's focus was taken up von Collani, who developed a unified theory of uncertainty aiming at making reliable and accurate predictions. In this thesis, teaching material as well as a virtual classroom are developed for fostering ideas and techniques initiated by Jakob Bernoulli and elaborated by Elart von Collani. The thesis is part of an extensively construed project called 'Stochastikon' aiming at introducing Bernoulli Stochastics as a unified science of prediction and measurement under uncertainty. This ambitious aim shall be reached by the development of an internet-based comprehensive system offering the science of Bernoulli Stochastics on any level of application. So far it is planned that the 'Stochastikon' system (http://www.stochastikon.com/) will consist of five subsystems. Two of them are developed and introduced in this thesis. The first one is the e-learning programme 'Stochastikon Magister' and the second one 'Stochastikon Graphics' that provides the entire Stochastikon system with graphical illustrations. E-learning is the outcome of merging education and internet techniques. E-learning is characterized by the facts that teaching and learning are independent of place and time and of the availability of specially trained teachers. Knowledge offering as well as knowledge transferring are realized by using modern information technologies. Nowadays more and more e-learning environments are based on the internet as the primary tool for communication and presentation. E-learning presentation tools are for instance text-files, pictures, graphics, audio and videos, which can be networked with each other. There could be no limit as to the access to teaching contents. Moreover, the students can adapt the speed of learning to their individual abilities. E-learning is particularly appropriate for newly arising scientific and technical disciplines, which generally cannot be presented by traditional learning methods sufficiently well, because neither trained teachers nor textbooks are available. The first part of this dissertation introduces the state of the art of e-learning in statistics, since statistics and Bernoulli Stochastics are both based on probability theory and exhibit many similar features. Since Stochastikon Magister is the first e-learning programme for Bernoulli Stochastics, the educational statistics systems is selected for the purpose of comparison and evaluation. This makes sense as both disciplines are an attempt to handle uncertainty and use methods that often can be directly compared. The second part of this dissertation is devoted to Bernoulli Stochastics. This part aims at outlining the content of two courses, which have been developed for the anticipated e-learning programme Stochastikon Magister in order to show the difficulties in teaching, understanding and applying Bernoulli Stochastics. The third part discusses the realization of the e-learning programme Stochastikon Magister, its design and implementation, which aims at offering a systematic learning of principles and techniques developed in Bernoulli Stochastics. The resulting e-learning programme differs from the commonly developed e-learning programmes as it is an attempt to provide a virtual classroom that simulates all the functions of real classroom teaching. This is in general not necessary, since most of the e-learning programmes aim at supporting existing classroom teaching. The forth part presents two empirical evaluations of Stochastikon Magister. The evaluations are performed by means of comparisons between traditional classroom learning in statistics and e-learning of Bernoulli Stochastics. The aim is to assess the usability and learnability of Stochastikon Magister. Finally, the fifth part of this dissertation is added as an appendix. It refers to Stochastikon Graphics, the fifth component of the entire Stochastikon system. Stochastikon Graphics provides the other components with graphical representations of concepts, procedures and results obtained or used in the framework of Bernoulli Stochastics. The primary aim of this thesis is the development of an appropriate software for the anticipated e-learning environment meant for Bernoulli Stochastics, while the preparation of the necessary teaching material constitutes only a secondary aim used for demonstrating the functionality of the e-learning platform and the scientific novelty of Bernoulli Stochastics. To this end, a first version of two teaching courses are developed, implemented and offered on-line in order to collect practical experiences. The two courses, which were developed as part of this projects are submitted as a supplement to this dissertation. For the time being the first experience with the e-learning programme Stochastikon Magister has been made. Students of different faculties of the University of Würzburg, as well as researchers and engineers, who are involved in the Stochastikon project have obtained access to Stochastikon Magister via internet. They have registered for Stochastikon Magister and participated in the course programme. This thesis reports on two assessments of these first experiences and the results will lead to further improvements with respect to content and organization of Stochastikon Magister.
The incidence of cancer cases is rising steadily, while improved early detection and new cancer-specific therapies are reducing the mortality rate. In addition to curing cancer or prolonging life, increasing the quality of life is thus an important goal of oncology, which is why the burdens of cancer and treatment are becoming more important. A common side effect of cancer and its therapy is cancer-related fatigue, a tiredness that manifests itself on physical, emotional and cognitive levels and is not in proportion to previous physical efforts. Since the etiology of fatigue has not yet been fully clarified, symptom-oriented therapy is preferable to cause-specific therapy. In addition to activity management, sleep hygiene, and cognitive behavioral therapy, mind-body interventions such as yoga are recommended for reducing fatigue.
Previous studies with small sample sizes were able to examine the efficacy of yoga regarding fatigue predominantly in patients with breast cancer. Long-term effects of yoga have rarely been studied and there have been no attempts to increase long-term effects through interventions such as reminder e-mails. This dissertation takes a closer look at these mentioned aspects of the study sample and long-term effects. An 8-week randomized controlled yoga intervention was conducted, including patients with different cancer types reporting mild to severe fatigue. Following the 8-week yoga therapy, a randomized group of participants received weekly reminder e-mails for 6 months for regular yoga practice, whereas the control group did not receive reminder e-mails.
The first paper is a protocol article, which addresses the design and planned implementation of the research project this dissertation is based upon. This serves to ensure better replicability and comparability with other yoga studies. Due to a very low consent rate of patients in the pilot phase, it was necessary to deviate from the protocol article in the actual implementation and the planned inclusion criterion of fatigue >5 was reduced to fatigue >1.
The second paper examines the efficacy of the eight-week yoga intervention. Patients in the intervention group who participated in the yoga classes seven times or more showed a significantly greater reduction in general and physical fatigue than those who participated less often. The efficacy of yoga was related to the number of attended yoga sessions. Women with breast cancer who participated in yoga reported greater reductions in fatigue than women with other cancer types. There was also an improvement for depression and quality of life after eight weeks of yoga therapy compared to no yoga therapy. These results imply that yoga is helpful in reducing depression and cancer-related fatigue, especially in terms of physical aspects and improving quality of life.
The third paper focuses on the efficacy of reminder e-mails in terms of fatigue and practice frequency. Patients who received reminder e-mails reported greater reductions in general and emotional fatigue, as well as significant increases in practice frequency, compared to patients who did not receive reminder e-mails. Compared to fatigue scores before yoga, significantly lower fatigue and depression scores and higher quality of life were reported after yoga therapy and at follow-up six months later. Weekly e-mail reminders after yoga therapy may have positive effects on general and emotional fatigue and help cancer patients with fatigue establish a regular yoga practice at home. However, higher practice frequency did not lead to higher improvement in physical fatigue as found in Paper 2. This may indicate other factors that influence the efficacy of yoga practice on physical fatigue, such as mindfulness or side effects of therapy.
This research project provides insight into the efficacy of yoga therapy for oncology patients with fatigue. It is important that such interventions be offered early, while fatigue symptoms are not too severe. Regular guided yoga practice can reduce physical fatigue, but subsequent yoga practice at home does not further reduce physical fatigue. Reminder emails after completed yoga therapy could only reduce patients' emotional fatigue. It may be that physical fatigue was reduced as much as possible by the previous yoga therapy and that there was a floor effect, or it may be that reminder emails are not suitable as an intervention to reduce physical fatigue at all. Further research is needed to examine the mechanisms of the different interventions in more detail and to find appropriate interventions that reduce all levels of fatigue equally.
This work is concerned with the numerical approximation of solutions to models that are used to describe atmospheric or oceanographic flows. In particular, this work concen- trates on the approximation of the Shallow Water equations with bottom topography and the compressible Euler equations with a gravitational potential. Numerous methods have been developed to approximate solutions of these models. Of specific interest here are the approximations of near equilibrium solutions and, in the case of the Euler equations, the low Mach number flow regime. It is inherent in most of the numerical methods that the quality of the approximation increases with the number of degrees of freedom that are used. Therefore, these schemes are often run in parallel on big computers to achieve the best pos- sible approximation. However, even on those big machines, the desired accuracy can not be achieved by the given maximal number of degrees of freedom that these machines allow. The main focus in this work therefore lies in the development of numerical schemes that give better resolution of the resulting dynamics on the same number of degrees of freedom, compared to classical schemes.
This work is the result of a cooperation of Prof. Klingenberg of the Institute of Mathe- matics in Wu¨rzburg and Prof. R¨opke of the Astrophysical Institute in Wu¨rzburg. The aim of this collaboration is the development of methods to compute stellar atmospheres. Two main challenges are tackled in this work. First, the accurate treatment of source terms in the numerical scheme. This leads to the so called well-balanced schemes. They allow for an accurate approximation of near equilibrium dynamics. The second challenge is the approx- imation of flows in the low Mach number regime. It is known that the compressible Euler equations tend towards the incompressible Euler equations when the Mach number tends to zero. Classical schemes often show excessive diffusion in that flow regime. The here devel- oped scheme falls into the category of an asymptotic preserving scheme, i.e. the numerical scheme reflects the behavior that is computed on the continuous equations. Moreover, it is shown that the diffusion of the numerical scheme is independent of the Mach number.
In chapter 3, an HLL-type approximate Riemann solver is adapted for simulations of the Shallow Water equations with bottom topography to develop a well-balanced scheme. In the literature, most schemes only tackle the equilibria when the fluid is at rest, the so called Lake at rest solutions. Here a scheme is developed to accurately capture all the equilibria of the Shallow Water equations. Moreover, in contrast to other works, a second order extension is proposed, that does not rely on an iterative scheme inside the reconstruction procedure, leading to a more efficient scheme.
In chapter 4, a Suliciu relaxation scheme is adapted for the resolution of hydrostatic equilibria of the Euler equations with a gravitational potential. The hydrostatic relations are underdetermined and therefore the solutions to that equations are not unique. However, the scheme is shown to be well-balanced for a wide class of hydrostatic equilibria. For specific classes, some quadrature rules are computed to ensure the exact well-balanced property. Moreover, the scheme is shown to be robust, i.e. it preserves the positivity of mass and energy, and stable with respect to the entropy. Numerical results are presented in order to investigate the impact of the different quadrature rules on the well-balanced property.
In chapter 5, a Suliciu relaxation scheme is adapted for the simulations of low Mach number flows. The scheme is shown to be asymptotic preserving and not suffering from excessive diffusion in the low Mach number regime. Moreover, it is shown to be robust under certain parameter combinations and to be stable from an Chapman-Enskog analysis.
Numerical results are presented in order to show the advantages of the new approach.
In chapter 6, the schemes developed in the chapters 4 and 5 are combined in order to investigate the performance of the numerical scheme in the low Mach number regime in a gravitational stratified atmosphere. The scheme is shown the be well-balanced, robust and stable with respect to a Chapman-Enskog analysis. Numerical tests are presented to show the advantage of the newly proposed method over the classical scheme.
In chapter 7, some remarks on an alternative way to tackle multidimensional simulations are presented. However no numerical simulations are performed and it is shown why further research on the suggested approach is necessary.
Single-molecule microscopy is one of the decisive methodologies that allows one to clarify cellular signaling in both spatial and temporal dimentions by tracking with nanometer precision the diffusion of individual microscopic particles coupled to relevant biological molecules. Trajectory analysis not only enables determination of the mechanisms that drive and constrain the particles motion but also to reveal crucial information about the molecule interaction, mobility, stoichiometry, all existing subpopulations and unique functions of particular molecules. Efficacy of this technique depends on two problematic issues the usage of the proper fluorophore and the type of biochemical attachment of the fluorophore to a biomolecule. The goal of this study was to evolve a highly specific labeling method suitable for single molecule tracking, internalization and trafficking studies that would attain a calculable 1:1 fluorophore-to-receptor stoichiometry. A covalent attachment of quantum dots to transmembrane receptors was successfully achieved with a techinque that amalgamates acyl carrier protein (ACP) system as a comparatively small linker and coenzyme A (CoA)-functionalized quantum dots. The necessity of optimization of the quantum dot usage for more precise calculation of the membrane protein stoichiometries in larger assemblies led to the further study in which methods maximizing the number of signals and the tracking times of diverse QD types were examined. Next, the optimized techniques were applied to analyze behavior of interleukin-5 β-common chain receptor (IL-5Rβc) receptors that are endogenously expressed at low level on living differentiated eosinophil-like HL-60 cells. Obtained data disclosed that perused receptors form stable and higher order oligomers. Additionally, the mobility analysis based on increased in number (>10%) uninterrupted 1000-step trajectories revealed two patterns of confined motion. Thereupon methods were developed that allow both, determination of stoichiometries of cell surface protein complexes and the acquisition of long trajectories for mobility analysis. Sequentially, the aforementioned methods were used to scrutinize on the mobility, internalization and recycling dynamics characterization of a G protein-coupled receptor (GPCRs), the parathyroid hormone receptor (PTHR1) and several bone morphogenetic proteins (BMPs), a member of the TGF-beta superfamily of receptors. These receptors are two important representatives of two varied membrane receptor classes. BMPs activate SMAD- and non-SMAD pathways and as members of the transforming growth factor β (TGF-β) superfamily are entailed in the regulation of proliferation, differentiation, chemotaxis, and apoptosis. For effective ligand induced and ligand independent signaling, two types of transmembrane serine/threonine kinases, BMP type I and type II receptors (BMPRI and BMPRII, respectively) are engaged. Apparently, the lateral mobility profiles of BMPRI and BMPRII receptors differ markedly, which determinate specificity of the signal. Non-SMAD signaling and subsequent osteoblastic differentiation of precursor cells particularly necessitate the confinement of the BMP type I receptor, resulting in the conclusion that receptor lateral mobility is a dominative mechanism to modulate SMAD versus non-SMAD signaling during differentiation. Confined motion was also predominantly observed in the studies devoted to, entailed in the regulation of calcium homeostasis and in bone remodeling, the parathyroid hormone receptor (PTHR1), in which stimulation with five peptide ligands, specific fragments of PTH: hPTH(1–34), hPTHrP(107–111)NH2; PTH(1–14); PTH(1–28) G1R19, bPTH(3–34), first four belonging to PTH agonist group and the last to the antagonist one, were tested in the wide concentration range on living COS-1 and AD293 cells. Next to the mobility, defining the internalization and recycling rates of the PTHR1 receptor maintained in this investigation one of the crucial questions. Internalization, in general, allows to diminish the magnitude of the receptor-mediated G protein signals (desensitization), receptor resensitization via recycling, degradation (down-regulation), and coupling to other signaling pathways (e.g. MAP kinases). Determinants of the internalization process are one of the most addressed in recent studies as key factors for clearer understanding of the process and linking it with biological responses evoked by the signal transduction. The internalization of the PTH-receptor complex occurs via the clathrin-coated pit pathway involving β-arrestin2 and is initiated through the agonist occupancy of the PTHR1 leading to activation of adenylyl cyclase (via Gs), and phosphatidylinositol-specific phospholipase Cβ (via Gq). Taken together, this work embodies complex study of the interleukin-5 β-common chain receptor (IL-5Rβc) receptors, bone morphogenetic proteins (BMPs) and the parathyroid hormone receptor with the application of single-molecule microscopy with the newly attained ACP-quantum dot labeling method and standard techniques.
The basic question which drove our whole work was to find a meaningful noncommutative gauge theory even for the time-like case ($\theta^{0 i} \neq 0$). In order to be able to tackle questions regarding unitarity, it is not sufficient to consider theories which include the noncommutative parameter only up to a finite order. The reason is that in order to investigate tree-level unitarity or the optical theorem in loops one has to know the behavior of the noncommutative theory for center-of-mass energies much greater than the noncommutative scale. Therefore an effective theory, that is by construction only valid up to the noncommutative scale, isn't sufficient for our purpose. Our model is based on two fundamental assumptions. The first assumption is given by the commutation relations \eqref{eq:ncalg}. This led to the Moyal-Weyl star-product \eqref{eq:astproduct2} which replaces all point-like products between two fields. The second assumption is to assume that the model built this way is not only invariant under the noncommutative gauge transformation but also under the commutative one. In order to obtain an action of such a model one has to replace the fields by their appropriate \swms. We chose the gauge fixed action \eqref{eq:actioncgf} as the fundamental action of our model. After having constructed the action of the NCQED including the {\swms} we were confronted with the problem of calculating the {\swms} to all orders in $\tMN$. By means of \cite{bbg} we could calculate the {\swms} order by order in the gauge field, where each order in the gauge field contains all orders in the noncommutative parameter (\cf chapter \ref{chapter:swms}). By comparing the maps with the result we obtained from an alternative ansatz \cite{bcpvz}, we realized that already the simplest {\swm} for the gauge field is not unique. In chapter \ref{chapter:ambiguities} we examined this ambiguity, which we could parametrised by an arbitrary function $\astf$. The next step was to derive the Feynman rules for our NCQED. One finds that the propagators remain unchanged so that the free theory is equal to the commutative QED. The fermion-fermion-photon vertex contains not only a phase factor coming from the Moyal-Weyl star-product but also two additional terms which have their origin in the \swms. Beside the 3-photon vertex which is already present in NCQED without {\swms} and which has also additional terms coming from the \swms, too, one has a contact vertex which couples two fermions with two photons. After having derived all the vertices we calculated the pair annihilation scattering process $e^+ e^- \rightarrow \gamma \gamma$ at Born level. By choosing the parameter $\kggg = 1$ (\cf section \ref{sec:represent}), we found that the amplitude of the pair annihilation process becomes equal to the amplitude of the NCQED without \swms. This means that, at least for this process, the NCQED excluding {\swms} is only a special case of NCQED including \swms. On the basis of the pair annihilation process, we afterwards investigated tree-level unitarity. In order to satisfy the tree-level unitarity we had to constrain the arbitrary function $\astf$. We found that the series expansion of $\astf$ has to start with unity. In addition, the even part of the function must not increase faster than $s^{-1/2} \log(s)$ for $s \rightarrow \infty$, whereas the odd part of the $\astf$-function can't be constrained, at least by the process we considered. By assuming these constrains for the $\astf$-function, we could show that tree-level unitarity is satisfied if one incorporates the uncertainties present in the energy and the momenta of the scattered particles, \ie the uncertainties of the center-of-mass energy and the scattering angles. This uncertainties are not exclusively present due to the finite experimental resolution. A delta-like center-of-mass energy as well as delta-like momenta are in general not possible because the scattered particles are never exact plane waves.
This work is composed of three main parts: remote control of mobile systems via Internet, ad-hoc networks of mobile robots, and remote control of mobile robots via 3G telecommunication technologies. The first part gives a detailed state of the art and a discussion of the problems to be solved in order to teleoperate mobile robots via the Internet. The focus of the application to be realized is set on a distributed tele-laboratory with remote experiments on mobile robots which can be accessed world-wide via the Internet. Therefore, analyses of the communication link are used in order to realize a robust system. The developed and implemented architecture of this distributed tele-laboratory allows for a smooth access also with a variable or low link quality. The second part covers the application of ad-hoc networks for mobile robots. The networking of mobile robots via mobile ad-hoc networks is a very promising approach to realize integrated telematic systems without relying on preexisting communication infrastructure. Relevant civilian application scenarios are for example in the area of search and rescue operations where first responders are supported by multi-robot systems. Here, mobile robots, humans, and also existing stationary sensors can be connected very fast and efficient. Therefore, this work investigates and analyses the performance of different ad-hoc routing protocols for IEEE 802.11 based wireless networks in relevant scenarios. The analysis of the different protocols allows for an optimization of the parameter settings in order to use these ad-hoc routing protocols for mobile robot teleoperation. Also guidelines for the realization of such telematics systems are given. Also traffic shaping mechanisms of application layer are presented which allow for a more efficient use of the communication link. An additional application scenario, the integration of a small size helicopter into an IP based ad-hoc network, is presented. The teleoperation of mobile robots via 3G telecommunication technologies is addressed in the third part of this work. The high availability, high mobility, and the high bandwidth provide a very interesting opportunity to realize scenarios for the teleoperation of mobile robots or industrial remote maintenance. This work analyses important parameters of the UMTS communication link and investigates also the characteristics for different data streams. These analyses are used to give guidelines which are necessary for the realization of or industrial remote maintenance or mobile robot teleoperation scenarios. All the results and guidelines for the design of telematic systems in this work were derived from analyses and experiments with real hardware.
Computer Science approaches (software, database, management systems) are powerful tools to boost research. Here they are applied to metabolic modelling in infections as well as health care management. Starting from a comparative analysis this thesis shows own steps and examples towards improvement in metabolic modelling software and health data management. In section 2, new experimental data on metabolites and enzymes induce high interest in metabolic modelling including metabolic flux calculations. Data analysis of metabolites, calculation of metabolic fluxes, pathways and their condition-specific strengths is now possible by an advantageous combination of specific software. How can available software for metabolic modelling be improved from a computational point of view? A number of available and well established software solutions are first discussed individually. This includes information on software origin, capabilities, development and used methodology. Performance information is obtained for the compared software using provided example data sets. A feature based comparison shows limitations and advantages of the compared software for specific tasks in metabolic modeling. Often found limitations include third party software dependence, no comprehensive database management and no standard format for data input and output. Graphical visualization can be improved for complex data visualization and at the web based graphical interface. Other areas for development are platform independency, product line architecture, data standardization, open source movement and new methodologies. The comparison shows clearly space for further software application development including steps towards an optimal user friendly graphical user interface, platform independence, database management system and third party independence especially in the case of desktop applications. The found limitations are not limited to the software compared and are of course also actively tackled in some of the most recent developments. Other improvements should aim at generality and standard data input formats, improved visualization of not only the input data set but also analyzed results. We hope, with the implementation of these suggestions, metabolic software applications will become more professional, cheap, reliable and attractive for the user. Nevertheless, keeping these inherent limitations in mind, we are confident that the tools compared can be recommended for metabolic modeling for instance to model metabolic fluxes in bacteria or metabolic data analysis and studies in infection biology. ...
Dynamic interactions and their changes are at the forefront of current research in bioinformatics and systems biology. This thesis focusses on two particular dynamic aspects of cellular adaptation: miRNA and metabolites.
miRNAs have an established role in hematopoiesis and megakaryocytopoiesis, and platelet miRNAs have potential as tools for understanding basic mechanisms of platelet function. The thesis highlights the possible role of miRNAs in regulating protein translation in platelet lifespan with relevance to platelet apoptosis and identifying involved pathways and potential key regulatory molecules. Furthermore, corresponding miRNA/target mRNAs in murine platelets are identified. Moreover, key miRNAs involved in aortic aneurysm are predicted by similar techniques. The clinical relevance of miRNAs as biomarkers, targets, resulting later translational therapeutics, and tissue specific restrictors of genes expression in cardiovascular diseases is also discussed.
In a second part of thesis we highlight the importance of scientific software solution development in metabolic modelling and how it can be helpful in bioinformatics tool development along with software feature analysis such as performed on metabolic flux analysis applications. We proposed the “Butterfly” approach to implement efficiently scientific software programming. Using this approach, software applications were developed for quantitative Metabolic Flux Analysis and efficient Mass Isotopomer Distribution Analysis (MIDA) in metabolic modelling as well as for data management. “LS-MIDA” allows easy and efficient MIDA analysis and, with a more powerful algorithm and database, the software “Isotopo” allows efficient analysis of metabolic flows, for instance in pathogenic bacteria (Salmonella, Listeria). All three approaches have been published (see Appendices).
In this thesis we study various aspects of chaos synchronization of time-delayed coupled chaotic maps. A network of identical nonlinear units interacting by time-delayed couplings can synchronize to a common chaotic trajectory. Even for large delay times the system can completely synchronize without any time shift. In the first part we study chaotic systems with multiple time delays that range over several orders of magnitude. We show that these time scales emerge in the Lyapunov spectrum: Different parts of the spectrum scale with the different delays. We define various types of chaos depending on the scaling of the maximum exponent. The type of chaos determines the synchronization ability of coupled networks. This is, in particular, relevant for the synchronization properties of networks of networks where time delays within a subnetwork are shorter than the corresponding time delays between the different subnetworks. If the maximum Lyapunov exponent scales with the short intra-network delay, only the elements within a subnetwork can synchronize. If, however, the maximum Lyapunov exponent scales with the long inter-network connection, complete synchronization of all elements is possible. The results are illustrated analytically for Bernoulli maps and numerically for tent maps. In the second part the attractor dimension at the transition to complete chaos synchronization is investigated. In particular, we determine the Kaplan-Yorke dimension from the spectrum of Lyapunov exponents for iterated maps. We argue that the Kaplan-Yorke dimension must be discontinuous at the transition and compare it to the correlation dimension. For a system of Bernoulli maps we indeed find a jump in the correlation dimension. The magnitude of the discontinuity in the Kaplan-Yorke dimension is calculated for networks of Bernoulli units as a function of the network size. Furthermore the scaling of the Kaplan-Yorke dimension as well as of the Kolmogorov entropy with system size and time delay is investigated. Finally, we study the change in the attractor dimension for systems with parameter mismatch. In the third and last part the linear response of synchronized chaotic systems to small external perturbations is studied. The distribution of the distances from the synchronization manifold, i.e., the deviations between two synchronized chaotic units due to external perturbations on the transmitted signal, is used as a measure of the linear response. It is calculated numerically and, for some special cases, analytically. Depending on the model parameters this distribution has power law tails in the region of synchronization leading to diverging moments. The linear response is also quantified by means of the bit error rate of a transmitted binary message which perturbs the synchronized system. The bit error rate is given by an integral over the distribution of distances and is studied numerically for Bernoulli, tent and logistic maps. It displays a complex nonmonotonic behavior in the region of synchronization. For special cases the distribution of distances has a fractal structure leading to a devil's staircase for the bit error rate as a function of coupling strength. The response to small harmonic perturbations shows resonances related to coupling and feedback delay times. A bi-directionally coupled chain of three units can completely filter out the perturbation. Thus the second moment and the bit error rate become zero.
Asymptomatische Bakteriurie (ABU) stellt eine bakterielle Infektion der Harnblase über einen langen Zeitraum dar, die häufig von Escherichia coli hervorgerufen wird, ohne dass typische Symptome einer Harnwegsinfektion auftreten. Um die Charakteristika von ABU E. coli Isolaten genauer zu untersuchen, wurden die Geno- und Phänotypen von 11 ABU-Isolaten verglichen. Außerdem wurden in mehreren aufeinanderfolgenden in vivo-Reisolaten des Modell-ABU Stammes 83972 die Veränderungen im Transkriptom, Proteom und Genom während einer langfristigen Persistenz in der menschlichen Blase charakterisiert. Schließlich wurde der Effekt des menschlichen Wirtes auf die bakterielle Adaptation durch einen Vergleich von in vitro- mit in vivo-kultivierten Stämmen abgeschätzt. ABU-Isolate stellt eine heterogene Gruppe von Organismen dar. Diese können den vier phylogenetischen Hauptgruppen von E. coli sowie unterschiedlichen klonalen Gruppen zugeordnet werden. Dementsprechend unterscheiden sie sich erheblich bezüglich der Zusammensetzung des Genomes, der Genomgröße und auch der Ausstattung mit UPEC-typischen Virulenz-assoziierten Genen. Multi-Lokus-Sequenz-Typisierung legt nahe, dass bestimmte ABU Stämme sich durch Genomreduktion aus UPEC Stämmen entwickelt haben, die eine Harnwegsinfektion mit charakteristischen Symptomen auslösen konnten. Folglich erlaubt die hohe Genomplastizität von E. coli keine generalisierte Betrachtung einzelner Isolate eines Klons. Genomreduktion über Punktmutationen, Genom-Reorganisation und Deletionen resultierte in der Inaktivierung einiger Gene, die für einige UPEC Virulenz-Faktoren kodieren. Dies stützt die Vorstellung, dass eine verminderte bakterielle Aktivierung der Entzündung der Wirtsschleimhaut den Lebensstil von ABU (bei diesen E. coli-)Isolaten fördert. Genregulation und genetische Diversität sind Strategien, die es Bakterien ermöglichen unter sich fortlaufend ändernden Bedingungen zu leben bzw. zu überleben. Um die anpassungsbedingten Veränderungen bei einem langfristigen Wachstum in der Blase zu untersuchen, wurden aufeinanderfolgende Reisolate, denen eine langfristige in vivo-Kolonisierung im menschlichen Wirt beziehungsweise eine in vitro-Kultivierung vorausgegangen ist, im Hinblick auf Veränderungen Genexpression und Genomorganisation analysiert. In diesem Zusammenhang konnte gezeigt werden, dass E. coli in der Lage ist, seine metabolischen Netzwerke verschiedenen Wachstumsbedingungen anzupassen und individuelle bakterielle Kolonisierungsstrategien entwickeln kann. Transkriptom- und Proteom-Analysen zeigten verschiedene metabolische Strategien zur Nährstoffbeschaffung und Energieproduktion bei untersuchten in vivo-Reisolaten vom Stamm 83972, die es ihnen ermöglichen, den Wirt zu kolonisieren. Das Zurückgreifen auf D-Serin, Deoxy- und Ribonucleoside sowie die bidirektionale Umwandlung zwischen Pentose und Glucuronat waren hoch-regulierte Stoffwechselwege, die die in vivo-Reisolate mit zusätzlicher Energie für ein effizientes Wachstum in der Blase versorgen. Zudem wurden in dieser Studie die Netzwerke für eine Reaktion auf Abwehrmechanismen des Wirtes erforscht: Erstmals wurde hier die Rolle der Klasse-III-Alkoholdehydrogenase AdhC, bekannt durch ihre Bedeutung bei der Entgiftung von Stickstoffmonoxid, bei der Wirtsantwort während einer asymptomatischen Bakteriurie gezeigt. Aufeinanderfolgende in vivo- und in vitro-Reisolate vom Stamm 83972 wurden ebenfalls bezüglich ihrer Genomstruktur analysiert. Einige Veränderungen in der Genomstruktur der aufeinanderfolgenden Reisolate, die von einer humanen Kolonisierungsstudie stammen, implizieren die Bedeutung einer Interaktion der Bakterien mit dem Wirt bei der Mikroevolution der Bakterien. Dagegen war die Genomstruktur von Reisolaten eines langfristigen in vitro-Kultivierungsexperiments, bei dem sich der Stamm 83972 ohne Wirtskontakt vermehrt hat, nicht von Veränderungen betroffen. Das legt nahe, dass die Immunantwort eine Genomplastizität fördert und somit eine treibende Kraft für den ABU Lebensstil und die Evolution im Harnwegstrakt ist.
More warning Advanced Driver Assistance Systems (ADAS) will be integrated into the European vehicles in the coming years, due to the ongoing progress on the way to automated driving and Euro NCAP requirements. Furthermore, upcoming technologies like Car-2-X will extend the sensory horizon of ADAS and enable the possibility to warn drivers earlier against various hazards than today. Regarding this progress, increasing numbers of different ADAS warnings will be communicated to the driver. In this context, an important question is how multiple ADAS warnings can be integrated into the Human Machine Interface (HMI) of vehicles and which warning elements are needed to ensure warning acceptance, efficiency and understandability seen from the driver’s point of view.
Two driving simulator studies were conducted and the effects of specific warning elements examined to develop a concept for the integration of upcoming warning ADAS, which focuses on early collision warnings. The implemented early warnings were defined with a warning onset of approximately two seconds before the last possible warning onset. Main questions were whether and how drivers profit from warning direction cues and/or warning object cues for their response to a hazard, and how these cues affect the acceptance of an integrated warning ADAS approach. Furthermore, it was analyzed whether a generalized warning can be used for a cluster of different ADAS concerning the group “warning of collisions”. Therefore critical scenarios in rural and urban surroundings were evaluated, including frontal and lateral (intersections) scenarios. Unnecessary warnings and false alarms have also been taken into account.
The results indicate that early warning direction cues have a high potential to assist drivers with an ADAS warning cluster which covers warning of collisions. In contrast, warning object cues seem to be less important for the drivers’ performance and acceptance regarding early collision warnings. According to these findings, this thesis provides recommendations which warning elements should be included into future ADAS warnings in favor of an integrated warning approach.
Perovskite oxides are a very versatile material class with a large variety of outstanding physical properties.
A subgroup of these compounds particularly tempting to investigate are oxides involving high-\(Z\) elements, where spin-orbit coupling is expected to give rise to new intriguing phases and potential application-relevant functionalities. This thesis deals with the preparation and characterization of two representatives of high-\(Z\) oxide sample systems based on KTaO\(_3\) and BaBiO\(_3\).
KTaO\(_3\) is a band insulator with an electronic valence configuration of Ta 5\(d\)\(^0\) . It is shown that by pulsed laser deposition of a disordered LaAlO\(_3\) film on the KTaO\(_3\)(001) surface, through the creation of oxygen vacancies, a Ta 5\(d\)\(^{0+\(\delta\)}\) state is obtained in the upmost crystal layers of the substrate. In consequence a quasi two dimensional electron system (q2DES) with large spin-orbit coupling emerges at the heterointerface. Measurements of the Hall effect establish sheet carrier densities in the range of 0.1-1.2 10\(^{14}\) cm\(^2\), which can be controlled by the applied oxygen background pressure during deposition and the LaAlO\(_3\) film thickness. When compared to the prototypical oxide q2DESs based on SrTiO\(_3\) crystals, the investigated system exhibits exceptionally large carrier mobilities of up to 30 cm\(^2\)/Vs (7000 cm\(^2\)/Vs) at room temperature (below 10 K). Through a depth profiling by photoemission spectra of the Ta 4\(f\) core level it is shown that the majority of the Ta 5\(d\)\(^0\) charge carriers, consisting of mobile and localized electrons, is situated within 4 nm from the interface at low temperatures. Furthermore, the momentum-resolved electronic structure of the q2DES \(buried\) underneath the LaAlO\(_3\) film is probed by means of hard X-ray angle-resolved photoelectron spectroscopy. It is inferred that, due to a strong confinement potential of the electrons, the band structure of the system is altered compared to \(n\)-doped bulk KTO. Despite the constraint of the electron movement along one direction, the Fermi surface exhibits a clear three dimensional momentum dependence, which is related to a depth extension of the conduction channels of at least 1 nm.
The second material, BaBiO\(_3\), is a charge-ordered insulator, which has recently been predicted to emerge as a large-gap topological insulator upon \(n\)-doping. This study reports on the thin film growth of pristine BaBiO\(_3\) on Nb:SrTiO\(_3\)(001) substrates by means of pulsed laser deposition. The mechanism is identified that facilitates the development of epitaxial order in the heterostructure despite the presence of an extraordinary large lattice mismatch of 12 %. At the heterointerface, a structurally modified layer of about 1.7 nm thickness is formed that gradually relieves the in-plane strain and serves as the foundation of a relaxed BBO film. The thereupon formed lattice orders laterally in registry with the substrate with the orientation BaBiO\(_3\)(001)||SrTiO\(_3\)(001) by so-called domain matching, where 8 to 9 BaBiO\(_3\) unit cells align with 9 to 10 unit cells of the substrate. Through the optimization of the deposition conditions in regard to the cation stoichiometry and the structural lattice quality, BaBiO\(_3\) thin films with bulk-like electronic properties are obtained, as is inferred from a comparison of valence band spectra with density functional theory calculations. Finally, a spectroscopic survey of BaBiO\(_3\) samples of various thicknesses resolves that a recently discovered film thickness-controlled phase transition in BaBiO\(_3\) thin films can be traced back to the structural and concurrent stoichiometric modifications occuring in the initially formed lattice on top of the SrTiO\(_3\) substrate rather than being purely driven by the smaller spatial extent of the BBO lattice.
N-heterocyclic carbenes (NHC) are utilized for the stabilization of reactive compounds, for the activation of strong bonds, and as ligands in transition metal chemistry. In contrast to neutral NHCs, few examples of anionic or even dianionic NHCs are known. One approach for the synthesis of anionic carbenes is the deprotonation of neutral or anionic precursors, bearing Lewis acids instead of alkyl or aryl substituents. Following this strategy, novel anionic and dianionic NHCs, featuring weakly coordinating fluorinated borane and phosphorane substituents or coordinating tricyanoborane substituents were synthesized within the scope of this thesis. These carbenes possess unprecedented stabilities compared to related species. Furthermore, their electronic and steric properties can be directly adjusted by the type of Lewis acid attached. Their potential as ligands with highly shielding weakly coordinating substituents next to the carbene coordination center was demonstrated by the syntheses of the respective NHC selenium adducts and NHC gold(I) complexes. In contrast anionic NHCs with coordinating tricyanoborane moieties have an outstanding potential as ditopic ligands with coordination being possible at the carbene center and via the cyano groups. Their beneficial ligand properties were demonstrated by the syntheses of the respective NHC selenium adducts and NHC nickeltricarbonyl complexes. The combination of electronic properties, the large buried volume, the negative charge, the possibility to act as ditopic or ligands with weakly coordinating groups, and the ease of accessibility render borane- and phosphorane functionalized NHCs unique novel ligands. A further project of this PhD thesis deals with the steric properties of Lewis acids. Therefore, an easy-to-apply model was designed to quantify the steric demand of Lewis acids. Using the results of this evaluation, a second model was developed which judges the steric repulsion in Lewis acid/base adduct formation for arbitrary sets of acids and bases.
Growth factor induced signaling cascades are key regulatory elements in tissue development, maintenance and regeneration. Deregulation of the cascades has severe consequences, leading to developmental disorders and neoplastic diseases. As a major function in signal transduction, activating mutations in RAF family kinases are the cause of many human cancers. In the first project described in this thesis we focused on B-RAF V600E that has been identified as the most prevalent B-RAF mutant in human cancer. In order to address the oncogenic function of B-RAF V600E, we have generated transgenic mice expressing the activated oncogene specifically in lung alveolar epithelial type II cells. Constitutive expression of B-RAF V600E caused abnormalities in alveolar epithelium formation that led to airspace enlargements. These lung lesions showed signs of tissue remodeling and were often associated with chronic inflammation and low incidence of lung tumors. Inflammatory cell infiltration did not precede the formation of emphysema-like lesions but was rather accompanied with late tumor development. These data support a model where the continuous regenerative process initiated by oncogenic B-RAF-driven alveolar disruption provides a tumor-promoting environment associated with chronic inflammation. In the second project we focused on wild type B-RAF and its role in an oncogenic-C-RAF driven mouse lung tumor model. Toward this aim we have generated compound mice in which we could conditionally deplete B-RAF in oncogenic-C-RAF driven lung tumors. Conditional elimination of B-RAF did not block lung tumor formation however led to reduced tumor growth. The diminished tumor growth was not caused by increased cell death instead was a consequence of reduced cell proliferation. Moreover, B-RAF ablation caused a reduction in the amplitude of the mitogenic signalling cascade. These data indicate that in vivo B-RAF is dispensable for the oncogenic potential of active C-RAF; however it cooperates with oncogenic C-RAF in the activation of the mitogenic cascade.
1. Since the early nineteenth century describing (and understanding) patterns of distribution of biodiversity across the Earth has represented one of the most significant intellectual challenges to ecologists and biogeographers. Among the most striking patterns of species richness are: the latitudinal and elevational gradients, with peaks in number of species at low latitudes and somewhere at mid altitudes, although other patterns, e.g. declines with increasing elevation, are often observed. Even in highly diverse tropical regions, species richness is not evenly distributed but there are “hotspots” of biodiversity where an exceptional number of species, especially endemics, are concentrated. Unfortunately, such areas are also experiencing dramatic loss of habitat. Among vertebrate taxa, amphibians are facing the most alarming number of extinctions. Habitat destruction, pollution and emergence of infectious diseases such as chytridiomycosis, are causing worldwide population declines. Responses to these drivers can be multidirectional and subtle, i.e. they may not be captured at the species but at the genetic level. Moreover, present patterns of diversity can result from the influence of past geological, climatic and environmental changes.
In this study, I used a multidisciplinary and multilevel approach to understand how and to which extent the landscape influences amphibian diversity. Mount Kilimanjaro is an exceptional tropical region where the landscape is rapidly evolving due to land use changes; additionally, there is a broad lack of knowledge of its amphibian fauna. During two rainy seasons in 2011, I recorded anurans from the foothills to 3500 m altitude; in addition, I focused on two river frog species and collected tissue samples for genetic analysis and swabs for detection of chytridiomycosis, the deadly disease caused by Batrachochytrium dendrobatidis (Bd).
2. I analyzed how species richness and composition change with increasing elevation and anthropogenic disturbance. In order to disentangle the observed patterns of species diversity and distribution, I incorporated inferences from historical biogeography and compared the assemblage of Mt. Kilimanjaro and Mt. Meru (both recent volcanoes) with those of the older Eastern Arc Mountains. Species richness decreased with elevation and locally increased in presence of water bodies, but I did not detect effects of either anthropogenic disturbance or vegetation structure on species richness and composition. Moreover, I found a surprisingly low number of forest species. Historical events seem to underlie the current pattern of species distribution; the young age of Mt. Kilimanjaro and the complex biogeographic processes which occurred in East Africa during the last 20 million years prevented montane forest frogs from colonizing the volcano.
3. I focused on the genetic level of biodiversity and investigated how the landscape, i.e. elevation, topographic relief and land cover, influence genetic variation, population structure and gene flow of two ecologically similar and closely related river frog species, namely Amietia angolensis and Amietia wittei. I detected greater genetic differentiation among populations in the highland species (A. wittei) and higher genetic variation in the lowland species (A. angolensis), although genetic diversity was not significantly correlated with elevation. Importantly, human settlements seemed to restrict gene flow in A. angolensis, whereas steep slopes were positively correlated with gene flow in A. wittei. This results show that even ecologically similar species can respond differently to landscape processes and that the spatial configuration of topographic features combined with species-specific biological attributes can affect dispersal and gene flow in disparate ways.
4. River frogs of the genus Amietia seem to be particularly susceptible to chytridiomycosis, showing the highest pathogen load in Kenya and other African countries. In the last study, I collected swab samples from larvae of A. angolensis and A. wittei for Bd detection. Both species resulted Bd-positive. The presence of Bd on Mt. Kilimanjaro has serious implication. For instance, Bd can be transported by footwear of hikers from contaminated water and soil. Tourists visiting Mt. Kilimanjaro may translocate Bd zoospores to other areas such as the nearby Eastern Arc Mts. where endemic and vulnerable species may still be naïve to the fungus and thus suffer of population declines.
5. My study significantly contributed to the knowledge of the amphibian fauna of Mt. Kilimanjaro and of East Africa in general, and it represents a valuable tool for future conservation actions and measures. Finally, it highlights the importance of using a multidisciplinary (i.e. community ecology, historical biogeography, landscape genetics, disease ecology) and multilevel (i.e. community, species, population, gene) approach to disentangle patterns of biodiversity.
The present study concerned mainly on the source, facies, and sedimentary environments of the Middle to Upper Jurassic strata in the Kerman and Tabas areas, east-central Iran. The composition of sandstones, and heavy mineral analysis point to pre-existing sedimentary, low, middle to upper rank metamorphic, and plutonic rocks of the Kalmard, Posht-e-Badam, Bayazeh, and Zarand-Kerman areas as the source rocks. According to the diagram of WELTJE et al. (1998), most samples from the Middle-Upper Jurassic rocks suggest a moderate to high elevation of the source area, and indicate a semi-arid and mediterranean to sub-humid climate. In the Qt-F-L ternary diagrams of DICKINSON et al. (1983), most point counting data from the Lower Siliciclastic Member and the top of the Hojedk Formation plot in the recycled orogen (Quartzose recycled) area of the diagram. The sandstones in this area can be interpreted as being derived from the Mid-Cimmerian Movements. Sixteen different types of siliciclastic-carbonate, and evaporatic sedimentary environments have been recognized. Thirty-nine macroinvertebrate taxa have been identified. Ten ichnotaxa have been taxonomically described from the Middle to Upper Jurassic rocks. Quite likely, before rotation of CEIM which were associated with counterclockwise block-rotation, equivalent rocks of the Bidou Formation occurred along the tectonic zone between the Yazd and the Tabas blocks (probably during the Middle Jurassic to Lower Cretaceous). However, from the Cretaceous onwards, most of the Bidou Formation has been removed by a combination of strike-slip and reverse movements of the Kashmar-Kerman tectonic zone. Roughly, these block-rotation movements occurred after the Cretaceous. During the Middle to Upper Jurassic, the tectonic activities were vertical movements producing the sedimentary pattern in the CEIM.
During infection, bacteria need to adapt to a changing environment and have to endure various stress conditions. Small non-coding RNAs are considered as important regulators of bacterial gene expression and so allow quick adaptations by altering expression of specific target genes. Regulation of gene expression in the human-restricted pathogen Neisseria gonorrhoeae, the causative agent of the sexually transmitted disease gonorrhoea, is only poorly understood. The present study aims a better understanding of gene regulation in N. gonorrhoeae by studying small non-coding RNAs.
The discovery of antisense RNAs for all opa genes led to the hypothesis of asRNA-mediated degradation of out-of-frame opa transcripts. Analysis of asRNA expression revealed a very low abundance of the transcripts and inclusion of another phase-variable gene in the study indicates that the asRNAs are not involved in degradation of out-of-frame transcripts.
This doctoral thesis focuses on the analysis of trans-acting sRNAs. The sibling sRNAs NgncR_162 and NgncR_163 were discovered as post-transcriptional regulators altering expression of genes involved in metabolic processes, amino acid uptake and transcriptional regulation. A more detailed analysis by in silico and transcriptomic approaches showed that the sRNAs regulate a broad variety of genes coding for proteins of central metabolism, amino acid biosynthesis and degradation and several transport processes. Expression levels of the sibling sRNAs depend on the growth phase of the bacteria and on the growth medium. This indicates that NgncR_162 and NgncR_163 are involved in the adaptation of the gonococcal metabolism to specific growth conditions.
This work further initiates characterisation of the sRNA NgncR_237. An in silico analysis showed details on sequence conservation and a possible secondary structure. A combination of in silico target prediction and differential RNA sequencing resulted in the identification of several target genes involved in type IV pilus biogenesis and DNA recombination. However, it was not successful to find induction conditions for sRNA expression. Interestingly, a possible sibling sRNA could be identified that shares the target interaction sequence with NgncR_237 and could therefore target the same mRNAs.
In conclusion, this thesis provides further insights in gene regulation by non-coding RNAs in N. gonorrhoeae by analysing two pairs of sibling sRNAs modulating bacterial metabolism or possibly type IV pilus biogenesis.
In order to test the effects of environmental factors on different characteristics of plant leaf waxes, barley plants (Hordeum vulgare) were abiotically stress treated (exposure to darkness, heavy metal, high salt concentrations and drought), and biotically stressed by the infection with powdery mildew (Blumeria graminis f.sp. hordei; Bgh). Different wax parameters like amount, chemical composition, and micromorphology of epicuticular wax crystals, were investigated. Etiolated leaves of barley showed distinctly reduced wax amounts and modifications in their relative composition. The alterations of these wax parameters might be a result of a developmental delay, which could have been caused by a decreased availability of energy for cellular processes, due to lack of light. Cadmium exposure led to a 1.5-fold increase of wax amount, while chemical composition was unaffected. In drought- and salt-stressed plants, all investigated leaf wax parameters remained unaltered. In each of the abiotic treatments, the microstructure of epicuticular wax crystals, formed as typical platelets, was not modified. Even after 6d infection with powdery mildew (Bgh), neither locally nor systemically enforced modifications of wax features were revealed.
The analyzed leave surfaces, resulting from these four abiotic and the biotic treatment (phenotypic approach), were compared to altered leaf surfaces’ characteristics of 18 analyzed eceriferum (cer-) wax mutants (genotypic approach). Within the screening, 5 mutants were selected which distinctly differed from the wild-type in wax amount, portions of epi- and intracuticular wax fraction, relative chemical composition, crystal morphology, and surface wettability (hydrophobicity).
Apart from quantitative and qualitative effects on the leaf waxes, environmentally enforced modifications in cuticular waxes might be reflected in molecular processes of wax biogenesis. Therefore, a barley wax-microarray was established. 254 genes were selected, which are putatively involved in processes of de novo fatty acid biosynthesis, fatty acid elongation, and modification, and which are supposed to take part in lipid-trafficking between cell compartments, and transport of wax components to the outer cell surface. The regulations within the expression pattern evoked by the respective treatments were correlated with the corresponding analytical wax data, and the observed molecular effects of a 3d powdery mildew infection were compared with succeeding fungal morphogenesis. Etiolation and cadmium exposition pointed to transcriptional modifications in the de novo fatty acid synthesis, and in the screened, transport-related mechanisms, which correlate with respective alterations in surface wax characteristics. Moderate changes in the gene expression pattern, evoked by drought- and salinity-stress, might give hints for evolved adaptations in barley to such common habitat stresses. Theinvasion of powdery mildew into the epidermal host cells was reflected in the regulation of several genes. Beside other functions, these genes take part in pathogen defense, and intracellular component transport, or they encode transcription factors. The different modifications within the molecular responses evoked by the investigated abiotic treatments, and the effects of powdery mildew infection representing a biotic stressor, were compared between the different treatments.
In order to test the potential impact of different wax parameters on Bgh, conidia germination and differentiation was comparably investigated on leaf surfaces of abiotically stressed wild-type and cer-mutants, isolated cuticles, and further artificial surfaces. The rates of conidial development were similar on each of the leaf surfaces resulting from the abiotic treatments, while a significant reduction of the germination and differentiation success was revealed for the wax mutant cer-yp.949. Compared to the wild-type, developmental rates on isolated cuticles and extracted leaf waxes of the mutant cer-yp.949 indicated a modified embedding of cuticular waxes, and a possibly changed three-dimensional structure of the cer-yp.949 cuticle, which might explain the reduced conidial developmental rates on leaf surfaces of this particular mutant.
Experiments with Bgh conidia on mechanically de-waxed leaf surfaces (selective mechanical removal of the epicuticular leaf waxes with glue-like gum arabic, followed by an extraction of the intracuticular wax portion with chloroform) demonstrated the importance of the wax coverage for the germination and differentiation of the fungal conidia. On all dewaxed leaf surfaces, except those of cer-yp.949, the differentiation success of the germlings was significantly reduced, by about 20% (“wax-effect”). This result was verified through an artificial system with increased conidia developmental rates on glass slides covered with extracted leaf waxes. Further comparative tests with the major components of barley leaf wax, hexacosanol and hexacosanal, showed that the germination and differentiation of powdery mildew conidia not only depends on the different chemistry, but is also influenced by the respective surface hydrophobicity. Compared to hexacosanol, on hexacosanal coated glass surfaces, higher germination and differentiation rates were achieved, which correlated with increased levels of surface hydrophobicity. Developmental rates of conidia on hydrophobic foils demonstrated that hydrophobicity, as a sole surface factor, may stimulate the conidial germination and differentiation processes. Moreover, the survival of conidia on artificial surfaces is determined by additional surface derived factors, e.g. the availability of water, and a pervadable matrix.