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The present study was aimed at revealing the early signalling events during the interaction of the diazotrophic soil bacterium Azospirillum brasilense with its host plant Arabidopsis thaliana. Furthermore, taking advantage of the micro array technique, a comprehensive overview of Arabidopsis genes has been undertaken which are affected upon association with A. brasilense The characterization of the early responses of Arabidopsis plants upon inoculation with Azospirillum brasilense strain Sp7 clearly indicated parallels with the initial events in plant pathogen interaction. For instance, not only bacterial preprations (lysates) form Azospirillum elicited an apoplastic alkalinization of the culture medium, but also the live bacteria, which were even more effective. Besides, in a luminol based assay, the bacterial lysates triggered production of the reactive oxygen species (ROS) in the Arabidopsis leaf discs. Interestingly, the elongation factor receptor mutants (efr) were completely insensitive to Azospirillum, suggesting elongation factor Tu (EF-TU) recognition as elicitor by Arabidopsis. This hypothesis was further validated with a bioinformatic approach. The N terminus initial 26 amino acids from Azospirillum EF-TU gene (elf26) showed more similarity to the elf26 sequences of bacteria like Agrobacterium tumefaciens which elicit responses in the plants through EF-TU rather than Pseudomonas syringae where the potent elicitor is flagellin 22. Universal transcriptome profiling of Arabidopsis thaliana seedlings upon inoculation with Azospirillum brasilense over a time course of six, twenty four and ninty six hours revealed very little genetic responses in the early time points. However, a bulk of genes was differentially regulated in 96 hours post inoculation (96hpi). The nature of these genes indicated that the bacterial treatment, among others, greatly affect the processes like cell wall modification, hormone metabolism, stress and secondary metabolism. Additionally expression levels of a numer of transcription factors (TFs) related to basic helix loop helix (BHLH) and MYB domain containing TF families were altered with Azospirillum inoculation. Particularly the BHLH TFs were among the most highly regulated genes. The array results from Azospirillum treated plants were further compared with the already available data emnating from treatment with flagellin 22 (flg22), oligogalacturonides (OGs) and Agrobacterium tumefaciens. Noteworthy, very different set of genes were affected upon inoculation with Azospirillum in relation to other treatments. Secondly a cluster of proteins involved in the biosynthesis of aliphatic glucosinolates (GSL) were uniquely induced upon Sp7 exposure. Genes operating in flavonoid biosynthesis also showed a distinct regulation trend in the comparative analysis. Taken together, the study in question provides insights into the early signalling events in the context of Azospirillum-Arabidopsis association and the bacterial signals recognized by the plants. The array data, at the same time, elucidates the genetic factors of Arabidopsis triggered upon association with Azospirillum brasilense.
The phylum Tardigrada consists of about 1000 described species to date. The animals live in habitats within marine, freshwater and terrestrial ecosystems allover the world. Tardigrades are polyextremophiles. They are capable to resist extreme temperature, pressure or radiation. In the event of desiccation, tardigrades enter a so-called tun stage. The reason for their great tolerance capabilities against extreme environmental conditions is not discovered yet. Our Funcrypta project aims at finding answers to the question what mechanisms underlie these adaption capabilities particularly with regard to the species Milnesium tardigradum. The first part of this thesis describes the establishment of expressed sequence tags (ESTs) libraries for different stages of M. tardigradum. From proteomics data we bioinformatically identified 144 proteins with a known function and additionally 36 proteins which seemed to be specific for M. tardigradum. The generation of a comprehensive web-based database allows us to merge the proteome and transcriptome data. Therefore we created an annotation pipeline for the functional annotation of the protein and nucleotide sequences. Additionally, we clustered the obtained proteome dataset and identified some tardigrade-specific proteins (TSPs) which did not show homology to known proteins. Moreover, we examined the heat shock proteins of M. tardigradum and their different expression levels depending on the actual state of the animals. In further bioinformatical analyses of the whole data set, we discovered promising proteins and pathways which are described to be correlated with the stress tolerance, e.g. late embryogenesis abundant (LEA) proteins. Besides, we compared the tardigrades with nematodes, rotifers, yeast and man to identify shared and tardigrade specific stress pathways. An analysis of the 50 and 30 untranslated regions (UTRs) demonstrates a strong usage of stabilising motifs like the 15-lipoxygenase differentiation control element (15-LOX-DICE) but also reveals a lack of other common UTR motifs normally used, e.g. AU rich elements. The second part of this thesis focuses on the relatedness between several cryptic species within the tardigrade genus Paramacrobiotus. Therefore for the first time, we used the sequence-structure information of the internal transcribed spacer 2 (ITS2) as a phylogenetic marker in tardigrades. This allowed the description of three new species which were indistinguishable using morphological characters or common molecular markers like the 18S ribosomal ribonucleic acid (rRNA) or the Cytochrome c oxidase subunit I (COI). In a large in silico simulation study we also succeeded to show the benefit for the phylogenetic tree reconstruction by adding structure information to the ITS2 sequence. Next to the genus Paramacrobiotus we used the ITS2 to corroborate a monophyletic DO-group (Sphaeropleales) within the Chlorophyceae. Additionally we redesigned another comprehensive database—the ITS2 database resulting in a doubled number of sequence-structure pairs of the ITS2. In conclusion, this thesis shows the first insights (6 first author publications and 4 coauthor publications) into the reasons for the enormous adaption capabilities of tardigrades and offers a solution to the debate on the phylogenetic relatedness within the tardigrade genus Paramacrobiotus.
The Contribution of Common and Rare Variants to the Complex Genetics of Psychiatric Disorders
(2010)
Attention deficit/hyperactivity disorder (ADHD), one of the most frequent childhood-onset, chronic and lifelong neurodevelopmental diseases, affects 5 - 10% of school – aged children and adolescents, and 4% of adults. The classified basic symptoms are - according to the diagnostic system DSM-VI - inattentiveness, impulsivity and hyperactivity. Also daily life of patients is impaired by learning problems, relationship crises, conflicts with authority and unemployment, but also comorbidities like sleep - and eating problems, mood - and anxiety disorders, depression and substance abuse disorders are frequently observed. Although several twin and family studies have suggested heritability of ADHD, the likely involvement of multiple genes and environmental factors has hampered the elucidation of its etiology and pathogenesis. Due to the successful medication of ADHD with dopaminergic drugs like methylphenidate, up to now, the search for candidate genes has mainly focused on the dopaminergic and - because of strong interactions - the serotonergic system, including the already analyzed candidate genes DAT1, DRD4 and 5, DBH or 5-HTTLPR. Recently, DNA copy number changes have been implicated in the development of a number of neurodevelopmental diseases and the analysis of chromosomal gains and losses by Array Comparative Genomic Hybridization (Array CGH) has turned out a successful strategy to identify disease associated genes. Here we present the first systematic screen for chromosomal imbalances in ADHD using sub-megabase resolution Array CGH. To detect micro-deletions and -duplications which may play a role in the pathogenesis of ADHD, we carried out a genome-wide screen for copy number variations (CNVs) in a cohort of 99 children and adolescents with severe ADHD. Using high-resolution aCGH, a total of 17 potentially syndrome-associated CNVs were identified. The aberrations comprise four deletions and 13 duplications with approximate sizes ranging from 110 kb to 3 Mb. Two CNVs occurred de novo and nine were inherited from a parent with ADHD, whereas five are transmitted by an unaffected parent. Candidates include genes expressing acetylcholine-metabolising butyrylcholinesterase (BCHE), contained in a de novo chromosome 3q26.1 deletion, and a brain-specific pleckstrin homology domain-containing protein (PLEKHB1), with an established function in primary sensory neurons, in two siblings carrying a 11q13.4 duplication inherited from their affected mother. Other genes potentially influencing ADHD-related psychopathology and involved in aberrations inherited from affected parents are the genes for the mitochondrial NADH dehydrogenase 1 alpha subcomplex assembly factor 2 (NDUFAF2), the brain-specific phosphodiesterase 4D isoform 6 (PDE4D6), and the neuronal glucose transporter 3 (SLC2A3). The gene encoding neuropeptide Y (NPY) was included in a ~3 Mb duplication on chromosome 7p15.2-15.3, and investigation of additional family members showed a nominally significant association of this 7p15 duplication with increased NPY plasma concentrations (empirical FBAT, p = 0.023). Lower activation of the left ventral striatum and left posterior insula during anticipation of large rewards or losses elicited by fMRI links gene dose-dependent increases in NPY to reward and emotion processing in duplication carriers. Additionally, further candidate genes were examined via Matrix assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS). This method enables the analysis of SNPs directly from human genomic DNA without the need for initial target amplification by PCR. All these findings implicate CNVs of behavior-related genes in the pathogenesis of ADHD and are consistent with the notion that both frequent and rare variants influence the development of this common multifactorial syndrome. The second part of this work concentrates on MLC1, a gene associated with Megalencephalic leukoencephalopathy with subcortical cysts, located on chromosome 22q13.33. To get more insight in the disease itself, a targeting vector for a conditional knockout mouse was constructed using homologous recombination. Furthermore, MLC1 has been suggested as a risk gene for schizophrenia, especially the periodic catatonia subtype. An initially identified missense mutation was found to be extremely rare in other patient cohorts; however, a recent report again argued for an association of two intronic MLC1 SNPs with schizophrenia and bipolar disorder. A case-control study of these polymorphisms as well as SNPs in the transcriptional control region of MLC1 was conducted in 212 chronic schizophrenic patients, 56 of which suffered from periodic catatonia, 106 bipolar patients, and 284 controls. Both intronic and promoter polymorphisms were specifically and significantly associated with periodic catatonia but not schizophrenia or bipolar disorder in general. A haplotype constructed from all polymorphisms was also associated with periodic catatonia. The MLC1 variation is associated with periodic catatonia; whether it constitutes a susceptibility or a modifier gene has to be determined.
This thesis is concerned with the statistical physics of various systems far from thermal equilibrium, focusing on universal critical properties, scaling laws and the role of fluctuations. To this end we study several models which serve as paradigmatic examples, such as surface growth and non-equilibrium wetting as well as phase transitions into absorbing states. As a particular interesting example of a model with a non-conventional scaling behavior, we study a simplified model for pulsed laser deposition by rate equations and Monte Carlo simulations. We consider a set of equations, where islands are assumed to be point-like, as well as an improved one that takes the size of the islands into account. The first set of equations is solved exactly but its predictive power is restricted to the first few pulses. The improved set of equations is integrated numerically, is in excellent agreement with simulations, and fully accounts for the crossover from continuous to pulsed deposition. Moreover, we analyze the scaling of the nucleation density and show numerical results indicating that a previously observed logarithmic scaling does not apply. In order to understand the impact of boundaries on critical phenomena, we introduce particle models displaying a boundary-induced absorbing state phase transition. These are one-dimensional systems consisting of a single site (the boundary) where creation and annihilation of particles occur, while particles move diffusively in the bulk. We study different versions of these models and confirm that, except for one exactly solvable bosonic variant exhibiting a discontinuous transition with trivial exponents, all the others display a non-trivial behavior, with critical exponents differing from their mean-field values, representing a universality class. We show that these systems are related to a $(0+1)$-dimensional non-Markovian model, meaning that in nonequilibrium a phase transition can take place even in zero dimensions, if time long-range interactions are considered. We argue that these models constitute the simplest universality class of phase transition into an absorbing state, because the transition is induced by the dynamics of a single site. Moreover, this universality class has a simple field theory, corresponding to a zero dimensional limit of direct percolation with L{\'e}vy flights in time. Another boundary phenomena occurs if a nonequilibrium growing interface is exposed to a substrate, in this case a nonequilibrium wetting transition may take place. This transition can be studied through Langevin equations or discrete growth models. In the first case, the Kardar-Parisi-Zhang equation, which defines a very robust universality class for nonequilibrium moving interfaces, is combined with a soft-wall potential. While in the second, microscopic models, in the corresponding universality class, with evaporation and deposition of particles in the presence of hard-wall are studied. Equilibrium wetting is related to a particular case of the problem, corresponding to the Edwards-Wilkinson equation with a potential in the continuum approach or to the fulfillment of detailed balance in the microscopic models. In this thesis we present the analytical and numerical methods used to investigate the problem and the very rich behavior that is observed with them. The entropy production for a Markov process with a nonequilibrium stationary state is expected to give a quantitative measure of the distance form equilibrium. In the final chapter of this thesis, we consider a Kardar-Parisi-Zhang interface and investigate how entropy production varies with the interface velocity and its dependence on the interface slope, which are quantities that characterize how far the stationary state of the interface is away from equilibrium. We obtain results in agreement with the idea that the entropy production gives a measure of the distance from equilibrium. Moreover we use the same model to study fluctuation relations. The fluctuation relation is a symmetry in the large deviation function associated to the probability of the variation of entropy during a fixed time interval. We argue that the entropy and height are similar quantities within the model we consider and we calculate the Legendre transform of the large deviation function associated to the height for small systems. We observe that there is no fluctuation relation for the height, nevertheless its large deviation function is still symmetric.
Integrating neurobiological markers of depression: an fMRI-based pattern classification approach
(2010)
While depressive disorders are, to date, diagnosed based on behavioral symptoms and course of illness, the interest in neurobiological markers of psychiatric disorders has grown substantially in recent years. However, current classification approaches are mainly based on data from a single biomarker, making it difficult to predict diseases such as depression which are characterized by a complex pattern of symptoms. Accordingly, none of the previously investigated single biomarkers has shown sufficient predictive power for practical application. In this work, we therefore propose an algorithm which integrates neuroimaging data associated with multiple, symptom-related neural processes relevant in depression to improve classification accuracy. First, we identified the core-symptoms of depression from standard classification systems. Then, we designed and conducted three experimental paradigms probing psychological processes known to be related to these symptoms using functional Magnetic Resonance Imaging. In order to integrate the resulting 12 high-dimensional biomarkers, we developed a multi-source pattern recognition algorithm based on a combination of Gaussian Process Classifiers and decision trees. Applying this approach to a group of 30 healthy controls and 30 depressive in-patients who were on a variety of medications and displayed varying degrees of symptom-severity allowed for high-accuracy single-subject classification. Specifically, integrating biomarkers yielded an accuracy of 83% while the best of the 12 single biomarkers alone classified a significantly lower number of subjects (72%) correctly. Thus, integrated biomarker-based classification of a heterogeneous, real-life sample resulted in accuracy comparable to the highest ever achieved in previous single biomarker research. Furthermore, investigation of the final prediction model revealed that neural activation during the processing of neutral facial expressions, large rewards, and safety cues is most relevant for over-all classification. We conclude that combining brain activation related to the core-symptoms of depression using the multi-source pattern classification approach developed in this work substantially increases classification accuracy while providing a sparse relational biomarker-model for future prediction.
The aim of the present thesis was to explore how food deprivation and reward expectancy versus frustrative nonreward change implicit and explicit food-liking and food-wanting. As a result, Experiment 1-3 were successful in revealing that liking- and wanting-related associations toward food stimuli dissociate as a function of food deprivation, given that participants were not rewarded with real food during the experiment. More specifically, whereas food-deprived participants showed more wanting-related associations toward food stimuli than satiated participants, the liking-related associations did not differ across both conditions of hunger. Overall, this effect could be replicated in 3 experiments using different manipulations of nonreward versus reward expectancy. However, neither food deprivation nor nonreward were found to influence participants’ self-reported mood and frustration. Moreover, participants of Experiment 2 anticipating food consumption showed the same liking- and wanting-related responses due to food deprivation than participants in the nonreward condition. But providing participants with individual control over food consumption abolished the dissociation of liking- and wanting-related associations. In this condition, however, participants’ liking- and wanting-related associations were not moderated by need state, maybe due to the (partial) consumption of snack food before the implicit attitude assessment. This, in turn, may have reduced participants’ disposition to respond with more liking- and wanting-related associations when being hungry. Finally, Experiment 4 revealed that the presentation of need-relevant vs. need-irrelevant stimuli prompted different liking-related associations depending on the time participants had fasted before the experiment. Specifically, it could be demonstrated that whereas moderately-hungry compared to satiated participants responded with more positive associations toward need-relevant stimuli, 15 hours food-deprived participants responded with more negative associations compared to moderately-hungry and satiated participants. Respectively, a significant curvilinear function of need state was obtained. In addition, participants were found to immediately respond more negatively to need-irrelevant stimuli as soon as they became moderately hungry, evidencing devaluation effects (see Brendl, Markman, & Messner, 2003) to also occur on an implicit level of responding. Contrary to the implicit liking- and wanting-related evaluations, self-reported explicit food-liking and food-wanting did not dissociate as a function of food deprivation and nonreward, revealing that participants’ explicit self-reports of food-liking and food-wanting did not mirror their implicit responses. As the most important result, it could be demonstrated that explicit food-liking and food-wanting varied positively as a function of need state. The results were discussed on the background of different theoretical assumptions on the malleability of implicit and explicit need-relevant attitudes (e.g. motivational theories, frustrative nonreward).
Macrophages are important effector cells of the innate and adaptive immune response and exert a wide variety of immunological functions which necessitates a high level of plasticity on the chromatin level. In response to pathogen-associated molecular patterns (PAMPs) or inflammatory signals macrophages undergo a process of cellular activation which is associated with morphologic, functional and biochemical changes. Toll-like receptors (TLR) are able to sense many different PAMPs. TLR4 is an important sensor for lipopolysaccharide (LPS) which elicits a major portion of the host’s inflammatory response through the activation of many different signaling pathways such as the NF-κB and the MAPK protein kinase pathways RASRAF- MEK-ERK, p38 and JNK. Polycomb group (PcG) proteins are well known chromatin modifiers which function in large complexes and are required to maintain chromatin structure in a transcriptionally repressed state. It has previously been shown that the PcG protein Bmi1 is phosphorylated by 3pK, a downstream effector kinase of the MAPK protein kinase pathways RAS-RAF-MEK-ERK, p38 and JNK. In this work I analyzed the role of Bmi1 as a downstream effector of MAPK signaling during macrophage activation. Unexpectedly a rapid up-regulation on the Bmi1 protein level was observed in bone marrow derived macrophages (BMDMs) after LPS treatment. The Bmi1 induction was associated with transient protein phosphorylation that occured downstream of MAPK signaling. LPS treatment of BMDMs in the absence of Bmi1 resulted in a pronounced increase of IL-10 secretion. This secretion of the anti-inflammatory cytokine IL-10 was associated with increased IL-10 mRNA levels. Furthermore, siRNA mediated knock down of Bmi1 in J774A.1 macrophages also resulted in elevated IL-10 mRNA levels in response to LPS. ChIP analysis revealed that Bmi1 binds to throughout the il-10 locus. Alternative activation of wild type BMDMs via concomitant TLR4 and FcγR activation which triggers high IL-10 expression is paralleled by an attenuated Bmi1 protein expression. These results identify Bmi1 as a repressor of IL-10 expression during activation of macrophages.
The present thesis deals with surface treatment, material improvement, and the electronic structure of the diluted magnetic semiconductor (Ga,Mn)As. The two key issues are the preparation of clean surfaces and the observation of potential valence hybridizations in (Ga,Mn)As by means of photoemission spectroscopy. Several cleaning methods are applied individually to (Ga,Mn)As and their e ects are compared in detail by various methods. Based on the results of each method, a sophisticated recipe has been elaborated, which provides clean, stoichiometric, and reconstructed surfaces, even if the sample was exposed to air prior to preparation. Moreover, the recipe works equally well for intentionally oxidized surfaces. The individual advantages of ex-situ wet- chemical etching and in situ ion-milling and tempering can be combined in an unique way. In regard to the post-growth annealing in order to optimize the electronic and magnetic properties of (Ga,Mn)As, the effect of surface segregation of interstitial Mn was quantifed. It turns out that the Mn concentration at the surface increases by a factor 4.3 after annealing at 190 C for 150 h. The removal of the segregated and oxidized species by wet-chemical etching allows a tentative estimate of the content of interstitial Mn. 19-23% of the overall Mn content in as-grown samples resides on interstitial positions. The complementary results of core level photoemission spectroscopy and resonant photoemission spectroscopy give hints to the fact that a sizeable valence hybridization of Mn is present in (Ga,Mn)As. This outlines that the simple Mn 3d5-con guration is too naive to refect the true electronic structure of substitutional Mn in (Ga,Mn)As. Great similarities in the core level spectra are found to MnAs. The bonding is thus dominantly of covalent, not ionic, character. Transport measurements, in particular for very low temperatures (<10 K), are in agreement with previous results. This shows that at low temperature, the conduction is mainly governed by variable-range hopping which is in line with the presence of an impurity band formed by substitutional Mn. In the light of the presented results, it is therefore concluded that a double-exchange interaction is the dominant mechanism leading to ferromagnetic coupling in (Ga,Mn)As. The valence hybridization and the presents of an impurity band, both of which are inherent properties of substitutional Mn, are indications for a double-exchange scenario, being at variance to a RKKY-based explanation. Contributions from a RKKY-like mechanism cannot definitely be excluded, however, they are not dominant.
In today's Internet, building overlay structures to provide a service is becoming more and more common. This approach allows for the utilization of client resources, thus being more scalable than a client-server model in this respect. However, in these architectures the quality of the provided service depends on the clients and is therefore more complex to manage. Resource utilization, both at the clients themselves and in the underlying network, determine the efficiency of the overlay application. Here, a trade-off exists between the resource providers and the end users that can be tuned via overlay mechanisms. Thus, resource management and traffic management is always quality-of-service management as well. In this monograph, the three currently significant and most widely used overlay types in the Internet are considered. These overlays are implemented in popular applications which only recently have gained importance. Thus, these overlay networks still face real-world technical challenges which are of high practical relevance. We identify the specific issues for each of the considered overlays, and show how their optimization affects the trade-offs between resource efficiency and service quality. Thus, we supply new insights and system knowledge that is not provided by previous work.
The Popeye domain containing (Popdc) gene family of membrane proteins is predominantly expressed in striated and smooth muscle tissues and has been shown to act as novel cAMP-binding proteins. In mice, loss of Popdc1 and Popdc2, respectively, affects sinus node function in the postnatal heart in an age and stress-dependent manner. In this thesis, I examined gene expression pattern and function of the Popdc gene family during zebrafish development with an emphasis on popdc2. Expression of the zebrafish popdc2 was exclusively present in cardiac and skeletal muscle during cardiac development, whereas popdc3 was expressed in striated muscle tissue and in distinct regions of the brain. In order to study the function of these genes, an antisense morpholino-based knockdown approach was used. Knockdown of popdc2 resulted in aberrant development of facial and tail musculature. In the heart, popdc2 morphants displayed irregular ventricular contractions with 2:1 and 3:1 ventricular pauses. Recordings of calcium transients using a transgenic indicator line Tg(cmlc2:gCaMP)s878 and selective plane illumination microscopy (SPIM) revealed the presence of an atrioventricular (AV) block in popdc2 morphants as well as a complete heart block. Interestingly, preliminary data revealed that popdc3 morphants developed a similar phenotype. In order to find a morphological correlate for the observed AV conduction defect, I studied the structure of the AV canal in popdc2 morphants using confocal analysis of hearts of the transgenic line Tg(cmlc2:eGFP-ras)s883, which outlines individual cardiac myocytes with the help of membrane-localized GFP. However, no evidence for morphological alterations was obtained. To ensure that the observed arrhythmia phenotype in the popdc2 morphant was based on a myocardial defect and not caused by defective valve development, live imaging was performed revealing properly formed valves. Thus, in agreement with the data obtained in knockout mice, popdc2 and popdc3 genes in zebrafish are involved in the regulation of cardiac electrical activity. However, both genes are not required for cardiac pacemaking, but they play essential roles in AV conduction. In order to elucidate the biological importance of cAMP-binding, wild type Popdc1 as well as mutants with a significant reduction in binding affinity for cAMP in vitro were overexpressed in zebrafish embryos. Expression of wild type Popdc1 led to a cardiac insufficiency phenotype characterized by pericardial edema and venous blood retention. Strikingly, the ability of the Popdc1 mutants to induce a cardiac phenotype correlated with the binding affinity for cAMP. These data suggest that cAMP-binding represents an important biological property of the Popdc protein family.