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Synaptic plasticity determines the development of functional neural circuits. It is widely accepted as the mechanism behind learning and memory. Among different forms of synaptic plasticity, Hebbian plasticity describes an activity-induced change in synaptic strength, caused by correlated pre- and postsynaptic activity. Additionally, Hebbian plasticity is characterised by input specificity, which means it takes place only at synapses, which participate in activity. Because of its correlative nature, Hebbian plasticity suggests itself as a mechanism behind associative learning.
Although it is commonly assumed that synaptic plasticity is closely linked to synaptic activity during development, the mechanistic understanding of this coupling is far from complete.
In the present study channelrhodopsin-2 was used to evoke activity in vivo, at the glutamatergic Drosophila neuromuscular junction. Remarkably, correlated pre- and postsynaptic stimulation led to increased incorporation of GluR-IIA-type glutamate receptors into postsynaptic receptor fields, thus boosting postsynaptic sensitivity. This phenomenon is input-specific.
Conversely, GluR-IIA was rapidly removed from synapses at which neurotransmitter release failed to evoke substantial postsynaptic depolarisation. This mechanism might be responsible to tame uncontrolled receptor field growth. Combining these results with developmental GluR-IIA dynamics leads to a comprehensive physiological concept, where Hebbian plasticity guides growth of postsynaptic receptor fields and sparse transmitter release stabilises receptor fields by preventing overgrowth.
Additionally, a novel mechanism of retrograde signaling was discovered, where direct postsynaptic channelrhodopsin-2 based stimulation, without involvement of presynaptic neurotransmitter release, leads to presynaptic depression. This phenomenon is reminiscent of a known retrograde homeostatic mechanism, of inverted polarity, where neurotransmitter release is upregulated, upon reduction of postsynaptic sensitivity.
The Chaco leaf-cutting ant Atta vollenweideri (Forel) inhabits large and deep subterranean nests composed of a large number of fungus and refuse chambers. The ants dispose of the excavated soil by forming small pellets that are carried to the surface. For ants in general, the organisation of underground soil transport during nest building remains completely unknown. In the laboratory, we investigated how soil pellets are formed and transported, and whether their occurrence influences the spatial organisation of collective digging. Similar to leaf transport, we discovered size matching between soil pellet mass and carrier mass. Workers observed while digging excavated pellets at a rate of 26 per hour. Each excavator deposited its pellets in an individual cluster, independently of the preferred deposition sites of other excavators. Soil pellets were transported sequentially over 2 m, and the transport involved up to 12 workers belonging to three functionally distinct groups: excavators, several short-distance carriers that dropped the collected pellets after a few centimetres, and long-distance, last carriers that reached the final deposition site. When initiating a new excavation, the proportion of long-distance carriers increased from 18% to 45% within the first five hours, and remained unchanged over more than 20 hours. Accumulated, freshly-excavated pellets significantly influenced the workers' decision where to start digging in a choice experiment. Thus, pellets temporarily accumulated as a result of their sequential transport provide cues that spatially organise collective nest excavation.
Background
The knowledge of metabolic pathways and fluxes is important to understand the adaptation of organisms to their biotic and abiotic environment. The specific distribution of stable isotope labelled precursors into metabolic products can be taken as fingerprints of the metabolic events and dynamics through the metabolic networks. An open-source software is required that easily and rapidly calculates from mass spectra of labelled metabolites, derivatives and their fragments global isotope excess and isotopomer distribution.
Results
The open-source software “Least Square Mass Isotopomer Analyzer” (LS-MIDA) is presented that processes experimental mass spectrometry (MS) data on the basis of metabolite information such as the number of atoms in the compound, mass to charge ratio (m/e or m/z) values of the compounds and fragments under study, and the experimental relative MS intensities reflecting the enrichments of isotopomers in 13C- or 15 N-labelled compounds, in comparison to the natural abundances in the unlabelled molecules. The software uses Brauman’s least square method of linear regression. As a result, global isotope enrichments of the metabolite or fragment under study and the molar abundances of each isotopomer are obtained and displayed.
Conclusions
The new software provides an open-source platform that easily and rapidly converts experimental MS patterns of labelled metabolites into isotopomer enrichments that are the basis for subsequent observation-driven analysis of pathways and fluxes, as well as for model-driven metabolic flux calculations.
The ability to perceive the number of objects has been known to exist in vertebrates for a few decades, but recent behavioral investigations have demonstrated that several invertebrate species can also be placed on the continuum of numerical abilities shared with birds, mammals, and reptiles. In this review article, we present the main experimental studies that have examined the ability of insects to use numerical information. These studies have made use of a wide range of methodologies, and for this reason it is striking that a common finding is the inability of the tested animals to discriminate numerical quantities greater than four. Furthermore, the finding that bees can not only transfer learnt numerical discrimination to novel objects, but also to novel numerosities, is strongly suggestive of a true, albeit limited, ability to count. Later in the review, we evaluate the available evidence to narrow down the possible mechanisms that the animals might be using to solve the number-based experimental tasks presented to them. We conclude by suggesting avenues of further research that take into account variables such as the animals’ age and experience, as well as complementary cognitive systems such as attention and the time sense.
Combined effects of climate change and extreme events on plants, arthropods and their interactions
(2013)
I. Global climate change directly and indirectly influences biotic and abiotic components of ecosystems. Changes in abiotic ecosystem components caused by climate change comprise temperature increases, precipitation changes and more frequently occurring extreme events. Mediated by these abiotic changes, biotic ecosystem components including all living organisms will also change. Expected changes of plants and animals are advanced phenologies and range shifts towards higher latitudes and altitudes which presumably induce changes in species interactions and composition. Altitudinal gradients provide an optimal opportunity for climate change studies, because they serve as natural experiments due to fast changing climatic conditions within short distances. In this dissertation two different approaches were conducted to reveal species and community responses to climate change. First, species richness and community trait analyses along an altitudinal gradient in the Bavarian Alps (chapters II, III) and second, climate change manipulation experiments under different climatic contexts (chapters IV, V, IV). II. We performed biodiversity surveys of butterfly and diurnal moth species on 34 grassland sites along an altitudinal gradient in the National Park Berchtesgaden. Additionally, we analysed the dominance structure of life-history traits in butterfly assemblages along altitude. Species richness of butterflies and diurnal moths decreased with increasing altitude. The dominance of certain life-history-traits changed along the altitudinal gradient with a higher proportion of larger-winged species and species with higher egg numbers towards higher altitudes. However, the mean egg maturation time, population density and geographic distribution within butterfly assemblages decreased with increasing altitude. Our results indicate that butterfly assemblages were mainly shaped by environmental filtering. We conclude that butterfly assemblages at higher altitudes will presumably lack adaptive capacity to future climatic conditions, because of specific trait combinations. III. In addition to butterfly and diurnal moth species richness we also studied plant species richness in combination with pollination type analyses along the altitudinal gradient. The management type of the alpine grasslands was also integrated in the analyses to detect combined effects of climate and management on plant diversity and pollination type. Plant species richness was highest at intermediate altitudes, whereby the management type influenced the plant diversity with more plant species at grazed compared to mown or non-managed grasslands. The pollination type was affected by both the changing climate along the gradient and the management type. These results suggest that extensive grazing can maintain high plant diversity along the whole altitudinal gradient. With ongoing climate change the diversity peak of plants may shift upwards, which can cause a decrease in biodiversity due to reduced grassland area but also changes in species composition and adaptive potential of pollination types. IV. We set up manipulation experiments on 15 grassland sites along the altitudinal gradient in order to determine the combined effects of extreme climatic events (extreme drought, advanced and delayed snowmelt) and elevation on the nutritional quality and herbivory rates of alpine plants. The leaf CN (carbon to nitrogen) ratio and the plant damage through herbivores were not significantly affected by the simulated extreme events. However, elevation influenced the CN ratios and herbivory rates of alpine plants with contrasting responses between plant guilds. Furthermore, we found differences in nitrogen concentrations and herbivory rates between grasses, legumes and forbs, whereas legumes had the highest nitrogen concentrations and were damaged most. Additionally, CN ratios and herbivory rates increased during the growing season, indicating a decrease of food plant quality during the growing season. Contrasting altitudinal responses of grasses, legumes and forbs presumably can change the dominance structure among these plant guilds with ongoing climate change. V. In this study we analysed the phenological responses of grassland species to an extreme drought event, advanced and delayed snowmelt along the altitudinal gradient. Advanced snowmelt caused an advanced beginning of flowering, whereas this effect was more pronounced at higher than at lower altitudes. Extreme drought and delayed snowmelt had rather low effects on the flower phenology and the responses did not differ between higher and lower sites. The strongest effect influencing flower phenology was altitude, with a declining effect through the season. The length of flowering duration was not significantly influenced by treatments. Our data suggest that plant species at higher altitudes may be more affected by changes in snowmelt timing in contrast to lowland species, as at higher altitudes more severe changes are expected. However, the risk of extreme drought events on flowering phenology seems to be low. VI. We established soil-emergence traps on the advanced snowmelt and control treatment plots in order to detect possible changes in abundances and emergence phenologies of five arthropod orders due to elevation and treatment. Additionally, we analysed the responses of Coleoptera species richness to elevation and treatment. We found that the abundance and species richness of Coleoptera increased with elevation as well as the abundance of Diptera. However, the abundance of Hemiptera decreased with elevation and the abundances of Araneae and Hymenoptera showed no elevational patterns. The advanced snowmelt treatment increased the abundances of Araneae and Hymenoptera. The emergence of soil-hibernating arthropods was delayed up to seven weeks at higher elevations, whereas advanced snowmelt did not influence the emergence phenology of arthropods immediately after snowmelt. With climate change earlier snowmelt will occur more often, which especially will affect soil-hibernating arthropods in alpine regions and may cause desynchronisations between species interactions. VII. In conclusion, we showed that alpine ecosystems are sensitive towards changing climate conditions and extreme events and that many alpine species in the Bavarian Alps are endangered. Many alpine species could exist under warmer climatic conditions, however they are expected to be outcompeted by more competitive lowland species. Furthermore, host-parasite or predator-prey interactions can be disrupted due to different responses of certain guilds to climate change. Understanding and predicting the complex dynamics and potential risks of future climate change remains a great challenge and therefore further studies analysing species and community responses to climate change are needed.
Primary contact with human polyomaviruses is followed by lifelong asymptomatic persistence of viral DNA. Under severe immunosuppression JCV activation may lead to unrestricted virus growth in the CNS followed by development of progressive multifocal leukoencephalopathy (PML). Besides the kidney and the brain, target cells of persistent infection were also found in the hematopoietic system. This included the presence of JCV genomes in peripheral blood cells (PBCs). In the attempt to understand the role of PBCs for the JCV infection in humans, we asked for the type of cells affected as well as for virus interaction with PBCs. Analysis of separated subpopulations by highly sensitive and specific polymerase chain reaction and Southern blot hybridization revealed the presence of JCV DNA mostly in circulating granulocytes. These cells have important functions in innate immunity and are professional phagocytes. This suggested that PCR amplified DNA might be the result of an extranuclear association of the virus due to membrane attachment or phagocytosis rather than JCV infection with presence of viral DNA in the nucleus. In the attempt to answer this question JCV DNA was subcellularly localized in the blood of 22 healthy donors by JCV specific fluorescence in situ hybridization (FISH). Granulocytes and peripheral blood mononuclear cells (PBMCs) were separated by Percoll gradient centrifugation. Intracellular JCV DNA was hybridized with Digoxigenin-labeled JCV specific DNA probes covering half of the viral genome. As the sensitivity of the anti-digoxigenin antibody system was lower than the PCR detection level, a chemical amplification step was included consisting of peroxidase labeled secondary antibody precipitating biotinylated tyramide followed by detection with streptavidin-Texas-Red and fluorescence microscopy. Comparison of the number of cells affected in healthy individuals with 15 HIV-1 infected patients with and without PML revealed that the rate of affected PBMCs was comparable in both groups (2.5±0.4 and 14.5±0.9 per 1000). In contrast, the rate of JCV positive granulocytes in the immunosuppressed group was 92.6±1.7% compared to 4±1.4% in healthy donors thus confirming that granulocytes are the major group of circulating cells affected by JCV and that HIV-1 associated immune impairment has an important effect on the virus-cell association. Localization revealed that JCV DNA was predominantly located within the cytoplasm, although hybridizing signals occasionally covered the nuclear compartment. The fluorescent glow of chemical amplification combined with classical fluorescence microscopy did not allow an unequivocal localization of viral DNA. However, confocal microscopy of 24 sections through single cells combined with FISH without chemical amplification confirmed cytoplasmic localization of JCV DNA in a large number of cells. Additionally, it clearly demonstrated that JCV DNA was also located in the nucleus and nuclear localization directly correlated with the number of cells affected. Calculation of the virus load in subcellular compartments revealed that up to 50% of the JCV genomes were located in the nucleus thus pointing to viral infection at least in the granulocytes of HIV-1 infected patients. This may contribute to the distribution of the virus from sites of peripheral infection to the CNS and may promote the development of active PML in the severely immune impaired patients.
The actin cytoskeleton is essential for many cellular functions, such as the regulation of cell morphology, cell migration and vesicle transport processes. The functional diversity of actin structures is reflected in a variety of distinct molecular mechanisms regulating the polymerization of actin filaments. The spontaneous polymerization of actin however is inhibited, by both the instability of small actin oligomers and by actin monomer binding proteins, which prevent the formation of such oligomers. Actin nucleation factors help to overcome this kinetic barrier of filament initiation and are essential for the generation of novel actin filaments at specified subcellular compartments. Spir proteins are the founding members of the novel class of WH2 domain containing actin nucleation factors. They initiate actin polymerization by binding of actin monomers to four WH2 domains in the central part of the protein. Despite their ability to nucleate actin polymerization in vitro by themselves, Spir proteins form a regulatory complex with the distinct actin nucleators of the formin subgroup of formins. Spir functions in the regulation of vesicular originated filamentous actin structures, vesicle transport processes and the assembly of the cleavage furrow during asymmetric meiotic cell divisions. The mammalian genome encodes two spir genes, spir-1 and spir-2. The corresponding proteins have an identical structural array and share a high degree of homology. In order to elucidate the Spir function in developing and adult mouse tissues, the yet unknown expression of the mouse spir-2 gene was addressed. Real-time PCR analysis revealed highest expression of spir-2 in oocytes, the brain, throughout the gastrointestinal tract, testis and kidney of adult mice. In situ hybridizations were performed to substantiate the cellular nature of spir gene expression. During embryogenesis in situ hybridizations show spir-2 to be expressed in the developing nervous system and intestine. In adult mouse tissues highest expression of spir-2 was detected in the epithelial cells of the digestive tract, in neuronal cells of the nervous system and in spermatocytes. In contrast to the more restricted expression of the mouse spir-1 gene, which is mainly found in the nervous system, oocytes and testis, the data presented here show a distinct and broader expression pattern of the spir-2 gene and by this support a more general cell biological function of the novel actin nucleators. In order to address the function of Spir proteins in the developing and adult nervous system, Spir-1 deficient mice were generated by a gene trap method. Spir-1 deficient mice are viable and provide a perfect tool to address the neurobiological function of the Spir-1 protein. Analyses of primary cortical neurons from Spir-1 deficient mice revealed a specific reduction of dendritic branchpoints and are the first description of a neuronal Spir-1 function. Further, a transgenic mouse line (thy1-GFP-M) was employed that expresses the green fluorescent protein (GFP) under the control of neuron specific elements from the thy1 promoter. GFP is thereby expressed in only a subset of neurons and labels the neurons in their entirety. Spir-1 deficient mice carrying the GFP transgene were generated and analyzed. It was found that Spir-1 deficient mice exhibit a reduced number of dendritic spines in the entorhinal cortex compared to wildtype littermates. All together this study gives novel information about the cell biological function of Spir and provides insights how cytoskeletal functions structure the mammalian neuronal network.
The neurodegenerative disorder Alzheimer's disease (AD) is the cause of approximately 60% of the world's 35 million patients suffering from dementia. Current research focuses here are on association with other diseases such as diabetes type 2 (T2DM), possible genetic markers, specific signal transduction pathways within the brain and potential protein modification, because the pathogenesis and etiology of AD are still not fully understood. Specifically association of T2DM with AD came to the focus with the so-called "Rotterdam study" in 1999, indicating that T2DM doubles the risk of developing AD. In the meantime, it is known that the prevalence rate in patients with T2DM is 30%. Drugs commonly used in the treatment of T2DM such as peroxisome proliferator-activated receptors gamma (PPARγ) agonists show improvement of the cognitive abilities in patients with early stage of dementia, with potential therapeutically relevance. Therefore it is important not only to investigate a link between these diseases, but also to investigate the insulin signaling pathway in the brain of AD patients. In order to investigate this complex issue in more details and demonstrate additional links between T2DM and AD, the present study used several basic biological methods to clarify the question: "Is impaired insulin signaling pathway within the brain crucial for the development of AD?" from several points of view. The methods used in this work have been i) an analysis of single nucleotide (SNP) polymorphism of the insulin-degrading enzyme gene (IDE) in relation to risk of AD and / or of T2DM, ii) post-mortem histochemical studies of brain tissue of patients with only AD, with AD combined with T2DM and with only T2DM compared with an age-matched control group, and iii.) investigations of neurochemical pathways and gene/protein expression changes of a human cell culture as a consequences of amyloid β (Aβ) treatment. After analysis of the IDE SNP polymorphism in the selected VITA (Vienna Trans Danube Aging) cohort disease-specific effects were discovered. The upstream polymorphism (IDE2) was found to influence AD risk in a protective manner, while the downstream polymorphism (IDE7) modified the T2DM risk. Based on the SNP results, the presented study delineate the model that IDE promoter and 3‟ untranslated region/downstream variation can have different effects on IDE expression, maybe a relevant endophenotype with disorder-specific effects on AD and T2DM susceptibility. Furthermore, the human post-mortem studies could show that both AD as well as T2DM patients had a significantly lower density of the insulin receptor (IR) in the hippocampus, whereas a significantly increased density of inactive phosphorylated PPARγ has been found and this persisted even in patients with both diseases. Summarizing the histological study, it was possible to reveal common histological features of AD and T2DM, but no direct connection between the two diseases. Although AD is nowadays not only characterized by amyloid-containing plaque deposits and by the hyperphosphorylation of tau protein, the excessive Aβ42 presence in the brains of AD patients is still playing a key role. Up to date it is still not entirely clear which physical form of Aβ42 is responsible for the development of AD. The present work investigated, what impact has the state of aggregation of Aβ42 on genes and proteins of the insulin signaling pathway and the amyloid cascade. It could be shown that the oligomeric variant enhanced specifically the gene and protein expression of glycogen synthase kinase (GSK) 3β and also the enzyme activity was significantly increased, but has in turn strongly inhibited the IR gene and protein expression. Additionally, the effect of Aβ42 on monoamine oxidase B (MAO-B) was examined. An effect of both aggregated forms of Aβ42 had on enzyme activity was discovered. However, the fibrillar variants led to significantly increased activity of MAO-B while the oligomeric variants inhibited the enzyme activity. Several previous studies have demonstrated the involvement of increased MAO-B activity in AD, but the present work provides for the first time a direct link between the states of aggregation of Aβ42 to enzyme activity. Finally the results of the presented thesis can be summarized to following conclusion: Although AD and T2DM sharing some degrees of common features, still there is a lack of direct association, and therefore the diseases must be considered more independent rather than linked. But the impaired cerebral insulin signaling pathway seems to be another manifested hallmark of AD.
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. ...
Ovarian cancer currently causes ~6,000 deaths per year in Germany alone. Since only palliative treatment is available for ovarian carcinomas that have developed resistance against platinum-based chemotherapy and paclitaxel, there is a pressing medical need for the development of new therapeutic approaches. As survival is strongly influenced by immunological parameters, immunotherapeutic strategies appear promising. The research of our group thus aims at overcoming tumour immune escape by counteracting immunosuppressive mechanisms in the tumour microenvironment. In this context, we found that tumour-infiltrating myeloid-derived suppressor cells (MDSC) or tumour associated macrophages (TAM) which are abundant in ovarian cancer express high levels of the enzyme 11β-hydroxysteroid dehydrogenase1 (11-HSD1). This oxido-reductase enzyme is essential for the conversion of biologically inactive cortisone into active cortisol. In line with this observation, high endogenous cortisol levels could be detected in serum, ascitic fluid and tumour exudates from ovarian cancer patients. Considering that cortisol exerts strong anti-inflammatory and immunosuppressive effects on immune cells, it appears likely that high endogenous cortisol levels contribute to immune escape in ovarian cancer. We thus hypothesised that local activation of endogenous glucocorticoids could suppress beneficial immune responses in the tumour microenvironment and thereby prevent a successful immunotherapy. To investigate the in vivo relevance of this postulated immune escape mechanism, irradiated PTENloxP/loxP loxP-Stop-loxP-krasG12D mice were reconstituted with hematopoietic stem cells from either glucocorticoid receptor (GR) expressing mice (GRloxP/loxP) or from mice with a T cell-specific glucocorticoid receptor knock-out (lck-Cre GRloxP/loxP) mice. In the host mice, the combination of a conditional PTEN knock-out with a latent oncogenic kras leads to tumour development when a Cre-encoding adenovirus is injected into the ovarian bursa. Using this model, mice that had been reconstituted with GC-insensitive T cells showed better intratumoural T cell infiltration than control mice that had received functionally unaltered GRloxP/loxP cells via adoptive transfer. However, tumour-infiltrating T cells mostly assumed a Foxp3+ (regulatory) phenotype and survival was even shortened in mice with cortisol-insensitive T cells. Thus, endogenous cortisol seems to inhibit immune cell infiltration in ovarian cancer, but productive anti-tumour immune responses might still be prevented by further factors from the tumour microenvironment. Thus, our data did not provide a sufficiently strong rationale to further pursue the antagonisation of glucocorticoid signalling in ovarian cancer patients, Moreover, glucocorticoids are frequently administered to cancer patients to reduce inflammation and swelling and to prevent chemotherapy-related toxic side effects like nausea or hypersensitivity reactions associated with paclitaxel therapy. Thus, we decided to address the question whether specific signalling pathways in innate immune cells, preferentially in NK cells, could still be activated even in the presence of GC. A careful investigation of the various activating NK cell receptors (i.e. NKp30, NKp44, NKp46), DNAM-1 and NKG2D) was thus performed which revealed that NKp30, NKp44 and NKG2D are all down-regulated by cortisol whereas NKp46 is actually induced by cortisol. Interestingly, NKp46 is the only known receptor that is strictly confined to NK cells. Its activation via crosslinking leads to cytokine release and activation of cytotoxic activity. Stimulation of NK cells via NKp46 may contribute to immune-mediated tumour destruction by triggering the lysis of tumour cells and by altering the cytokine pattern in the tumour microenvironment, thereby generating more favourable conditions for the recruitment of antigen-specific immune cells. Accordingly, our observation that even cortisol-treated NK cells can still be activated via NKp46 and CD2 might become valuable for the design of immunotherapies that can still be applied in the presence of endogenous or therapeutically administered glucocorticoids.