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Introduction
Groin infections resulting in arterial bleeding due to bacterial vessel destruction are a severe challenge in vascular surgery. Patients with them most often present as emergencies and therefore need individualized reconstruction solutions.
Case presentation
Case 1 is a 67-year-old man with infectious bleeding after an autologous reconstruction of the femoral bifurcation with greater saphenous vein due to infection of a bovine pericard patch after thrombendarterectomy. Case 2 is a 35-year-old male drug addict and had severe femoral bleeding and infection after repeated intravenous and intra-arterial substance abuse. Both patients were treated with an autologous obturator bypass of the superficial femoral vein. We review the current literature and highlight our therapeutic concept of this clinical entity.
Conclusions
Treatment should include systemic antibiotic medication, surgical control of the infectious site, revascularization and soft tissue repair. An extra-anatomical obturator bypass with autologous superficial femoral vein should be considered as the safest revascularization procedure in infections caused by highly pathogenic bacteria.
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.
Background
Chronic osteomyelitis due to direct bone trauma or vascular insufficiency is a frequent problem in orthopaedic surgery. In contrast, acute haematogenous osteomyelitis represents a rare entity that almost exclusively affects prepubescent children or immunodeficient adults.
Case Presentation
In this article, we report the case of acute pneumococcal osteomyelitis of the humerus in an immunocompetent and otherwise healthy 44-year-old male patient presenting with minor inflammation signs and misleading clinical features.
Conclusions
The diagnosis had to be confirmed by open biopsy which allowed the initiation of a targeted therapy. A case of pneumococcal osteomyelitis of a long bone, lacking predisposing factors or trauma, is unique in adults and has not been reported previously.
Inflammation and oxidative stress are known to be involved in the pathogenesis of chronic kidney disease in humans, and in chronic renal failure (CRF) in rats. The aim of this work was to study the role of inflammation and oxidative stress in adenine-induced CRF and the effect thereon of the purported nephroprotective agent gum arabic (GA). Rats were divided into four groups and treated for 4 weeks as follows: control, adenine in feed (0.75%, w/w), GA in drinking water (15%, w/v) and adenine+GA, as before. Urine, blood and kidneys were collected from the rats at the end of the treatment for analysis of conventional renal function tests (plasma creatinine and urea concentration). In addition, the concentrations of the pro-inflammatory cytokine TNF-a and the oxidative stress markers glutathione and superoxide dismutase, renal apoptosis, superoxide formation and DNA double strand break frequency, detected by immunohistochemistry for
c-H2AX, were measured. Adenine significantly increased the concentrations of urea and creatinine in plasma, significantly decreased the creatinine clearance and induced significant increases in the concentration of the measured inflammatory mediators.
Further, it caused oxidative stress and DNA damage. Treatment with GA significantly ameliorated these actions. The mechanism of the reported salutary effect of GA in adenine-induced CRF is associated with mitigation of the adenine-induced inflammation and generation of free radicals.
Regulating our immediate feelings, needs, and urges is a task that we are faced with every day in our lives. The effective regulation of our emotions enables us to adapt to society, to deal with our environment, and to achieve long‐term goals. Deficient emotion regulation, in contrast, is a common characteristic of many psychiatric and neurological conditions. Particularly anxiety disorders and subclinical states of increased anxiety are characterized by a range of behavioral, autonomic, and neural alterations impeding the efficient down‐regulation of acute fear. Established fear network models propose a downstream prefrontal‐amygdala circuit for the control of fear reactions but recent research has shown that there are a range of factors acting on this network. The specific prefrontal cortical networks involved in effective regulation and potential mediators and modulators are still a subject of ongoing research in both the animal and human model. The present research focused on the particular role of different prefrontal cortical regions during the processing of fear‐relevant stimuli in healthy subjects. It is based on four studies, three of them investigating a different potential modulator of prefrontal top‐down function and one directly challenging prefrontal regulatory processes. Summarizing the results of all four studies, it was shown that prefrontal functioning is linked to individual differences in state anxiety, autonomic flexibility, and genetic predisposition. The T risk allele of the neuropeptide S receptor gene, a recently suggested candidate gene for pathologically elevated anxiety, for instance, was associated with decreased prefrontal cortex activation to particularly fear‐relevant stimuli. Furthermore, the way of processing has been found to crucially determine if regulatory processes are engaged at all and it was shown that anxious individuals display generally reduced prefrontal activation but may engage in regulatory processes earlier than non‐anxious subjects. However, active manipulation of prefrontal functioning in healthy subjects did not lead to the typical behavioral and neural patterns observed in anxiety disorder patients suggesting that other subcortical or prefrontal structures can compensate for an activation loss in one specific region. Taken together, the current studies support prevailing theories of the central role of the prefrontal cortex for regulatory processes in response to fear‐eliciting stimuli but point out that there are a range of both individual differences and peculiarities in experimental design that impact on or may even mask potential effects in neuroimaging research on fear regulation.
Testing Models with Higher Dimensional Effective Interactions at the LHC and Dark Matter Experiments
(2013)
Dark matter and non-zero neutrino masses are possible hints for new physics beyond the Standard Model of particle physics. Such potential consequences of new physics can be described by effective field theories in a model independent way. It is possible that the dominant contribution to low-energy effects of new physics is generated by operators of dimension d>5, e.g., due to an additional symmetry. Since these are more suppressed than the usually discussed lower dimensional operators, they can lead to extremly weak interactions even if new physics appears at comparatively low scales. Thus neutrino mass models can be connected to TeV scale physics, for instance. The possible existence of TeV scale particles is interesting, since they can be potentially observed at collider experiments, such as the Large Hadron Collider. Hence, we first recapitulate the generation of neutrino masses by higher dimensional effective operators in a supersymmetric framework. In addition, we discuss processes that can be used to test these models at the Large Hadron Collider. The introduction of new particles can affect the running of gauge couplings. Hence, we study the compatibilty of these models with Grand Unified Theories. The required extension of these models can imply the existence of new heavy quarks, which requires the consideration of cosmological constraints. Finally, higher dimensional effective operators can not only generate small neutrino masses. They also can be used to discuss the interactions relevant for dark matter detection experiments. Thus we apply the methods established for the study of neutrino mass models to the systematic discussion of higher dimensional effective operators generating dark matter interactions.
Nuclear spins in motion is an intrinsic component of any dynamic process when studied using magnetic resonance imaging (MRI). Moving spins define many functional characteristics of the human body such as diffusion, perfusion and blood flow. Quantitative MRI of moving spins
can provide valuable information about the human physiology or of a technical system. In particular, phase-contrast MRI, which is based on two images with and without a flow-encoding gradient, has emerged as an important diagnostic tool in medicine to quantify human blood flow. Unfortunately, however, its clinical usage is hampered by long acquisition times which only provide mean data averaged across multiple cardiac cycles and therefore preclude Monitoring the immediate physiological responses to stress or exercise. These limitations are expected to be overcome by real-time imaging which constitutes a primary aim of this thesis.
Short image acquisition times, as the core for real-time phase-contrast MRI, can be mainly realized through undersampling of the acquired data. Therefore the development focused on related technical aspects such as pulse sequence design, k-space encoding schemes and image
reconstruction. A radial encoding scheme was experimentally found to be robust to motion and
less sensitive to undersampling than Cartesian encoding. Radial encoding was combined with a FLASH acquisition technique for building an efficient real-time phase-contrast MRI sequence.
The sequence was further optimized through overlapping of gradients to achieve the shortest possible echo time. Regularized nonlinear inverse reconstruction (NLINV), a technique which jointly estimates the image content and its corresponding coil sensitivities, was used for image
reconstruction. NLINV was adapted specifically for phase-contrast MRI to produce both Magnitude images and phase-contrast maps. Real-time phase-contrast MRI therefore combined two highly undersampled (up to a factor of 30) radial gradient-echo acquisitions with and without a
flow-encoding gradient with modified NLINV reconstructions. The developed method achieved
real-time phase-contrast MRI at both high spatial (1.3 mm) and temporal resolution (40 ms).
Applications to healthy human subjects as well as preliminary studies of patients demonstrated
real-time phase-contrast MRI to offer improved patient compliance (e.g., free breathing) and immediate access to physiological variations of flow parameters (e.g., response to enhanced intrathoracic pressure). In most cases, quantitative blood flow was measured in the ascending aorta as an important blood vessel of the cardiovascular circulation system commonly studied
in the clinic. The performance of real-time phase-contrast MRI was validated in comparison to standard Cine phase-contrast MRI using studies of flow phantoms as well as under in vivo conditions. The evaluations confirmed good agreement for comparable results.
As a further extension to real-time phase-contrast MRI, this thesis implemented and explored a dual-echo phase-contrast MRI method which employs two sequential gradient echoes with and without flow encoding. The introduction of a flow-encoding gradient in between the two echoes
aids in the further reduction of acquisition time. Although this technique was efficient under in vitro conditions, in vivo studies showed the influence of additional motion-induced Phase contributions. Due to these additional temporal phase information, the approach showed Little promise for quantitative flow MRI.
As a further method three-dimensional real-time phase-contrast MRI was developed in this thesis to visualize and quantify multi-directional flow at about twice the measuring time of the standard real-time MRI method, i.e. at about 100 ms temporal resolution. This was achieved
through velocity mapping along all three physical gradient directions. Although the method is still too slow to adequately cover cardiovascular blood flow, the preliminary results were found to be promising for future applications in tissues and organ systems outside the heart. Finally, future developments are expected to benefit from the adaptation of model-based reconstruction
techniques to real-time phase-contrast MRI.
All animal and plant species must disperse in order to survive. Although this fact may seem trivial, and the importance of the dispersal process is generally accepted, the eco-evolutionary forces influencing dispersal, and the underlying movement elements, are far from being comprehensively understood. Beginning in the 1950s scientists became aware of the central role of dispersal behaviour and landscape connectivity for population viability and species diversity. Subsequently, dispersal has mainly been studied in the context of metapopulations. This has allowed researchers to take into account the landscape level, e.g. for determining conservation measures. However, a majority of theses studies classically did not include dispersal evolution. Yet, it is well known that dispersal is subject to evolution and that this process may occur (very) rapidly, i.e. over short ecological time-scales. Studies that do take dispersal evolution into account, mostly focus on eco-evolutionary forces arising at the level of populations - intra-specific competition or Allee effects, for example - and at the level of landscapes - e.g. connectivity, patch area and fragmentation. Yet, relevant ecological and evolutionary forces can emerge at all levels of biological complexity, from genes and individuals to populations, communities and landscapes. Here, I focus on eco-evolutionary forces arising at the gene- and especially at the individual level. Combining individual-based modelling and empirical field work, I explicitly analyse the influence of mobility trade-offs and information use for dispersal decisions - i.e. individual level factors - during the three phases of dispersal - emigration, transfer and immigration. I additionally take into account gene level factors such as ploidy, sexual reproduction (recombination) and dominance. Mobility-fertility trade-offs may shape evolutionarily stable dispersal strategies and lead to the coexistence of two or more dispersal strategies, i.e. polymorphisms and polyphenisms. This holds true for both dispersal distances (chapter 3) and emigration rates (chapter 4). In sessile organisms - such as trees or corals - maternal investment, i.e. transgenerational trade-offs between maternal fertility and propagule dispersiveness, can be the cause of bimodal and fat-tailed dispersal kernels. However, the coexistence of two or more dispersal strategies may be critically dependent on gene level factors, such as ploidy or dominance (chapter 4). Passively dispersing individuals may realize such multimodal dispersal kernels by mixing different dispersal vectors. Active choice of these vectors allows to optimize the kernel. As most animals have evolved some kind of memory and sensory apparatus - chemical, acoustic or optical sensors - it is obvious that these capacities should be used for dispersal decisions. Chapter 5 explores the use of chemical cues for vector choice in passively dispersed animals. I find that the neotropical phoretic flower mites Spadiseius calyptrogynae non-randomly mix different dispersal vectors, i.e. one short- and one long-distance disperser, in order to achieve fat-tailed dispersal kernels. Such kernels allow an optimal exploitation of patchily distributed habitats. In addition, this strategy increases the probability of successful immigration as the short-distance dispersal vectors show directed dispersal towards suitable habitats. Results from individual-based simulations support and explain my empirical findings. The use of memory and sensory apparatus in dispersal is also the main topic of chapter 6 which strives to bridge the gap between dispersal and movement ecology. In this part of my thesis I develop a model of non-random, memory-based animal movement strategies. Extending the movement ecology paradigm of Nathan (2008a) I postulate that four elements may be relevant for the emergence of efficient movement strategies: perception, memory, inference and anticipation. Movement strategies including these four elements optimize search efficiency at two scales: within patches and between patches. This leads to a significantly increased search efficiency over a comparable area restricted search strategy. These four chapters are completed by a general analysis of metapopulation dynamics (chapter 2). I find that although the metapopulation concept is very popular in theoretical ecology, classical metapopulations can be predicted to be rare in nature, as suggested by lacking empirical evidence. This is especially the case when gene level factors, such as ploidy and sex, are taken into account. In summary, my work analyses the effects of ecological and evolutionary forces arising at the gene- and individual level on the evolution of dispersal and movement strategies. I highlight the importance of including these limiting factors, mechanisms and processes and show how they impact the evolution of dispersal in spatially structured populations. All chapters demonstrate that these forces may have dramatic effects on resulting ecological and evolutionary dynamics. If we intend to understand animal and plant dispersal or movement, it is crucial to include eco-evolutionary forces emerging at all levels of complexity, from genes to communities and landscapes. This endeavour is certainly not purely academic. Particularly nowadays, with rapidly changing landscape structures and anticipated drastic shifts of climatic zones due to global change, dispersal is a factor that cannot be overestimated.
Streaming of videos has become the major traffic generator in today's Internet and the video traffic share is still increasing. According to Cisco's annual Visual Networking Index report, in 2012, 60% of the global Internet IP traffic was generated by video streaming services. Furthermore, the study predicts further increase to 73% by 2017. At the same time, advances in the fields of mobile communications and embedded devices lead to a widespread adoption of Internet video enabled mobile and wireless devices (e.g. Smartphones). The report predicts that by 2017, the traffic originating from mobile and wireless devices will exceed the traffic from wired devices and states that mobile video traffic was the source of roughly half of the mobile IP traffic at the end of 2012.
With the increasing importance of Internet video streaming in today's world, video content provider find themselves in a highly competitive market where user expectations are high and customer loyalty depends strongly on the user's satisfaction with the provided service. In particular paying customers expect their viewing experience to be the same across all their viewing devices and independently of their currently utilized Internet access technology. However, providing video streaming services is costly in terms of storage space, required bandwidth and generated traffic. Therefore, content providers face a trade-off between the user perceived Quality of Experience (QoE) and the costs for providing the service.
Today, a variety of transport and application protocols exist for providing video streaming services, but the one utilized depends on the scenario in mind. Video streaming services can be divided up in three categories: Video conferencing, IPTV and Video-on-Demand services. IPTV and video-conferencing have severe real-time constraints and thus utilize mostly datagram-based protocols like the RTP/UDP protocol for the video transmission. Video-on-Demand services in contrast can profit from pre-encoded content, buffers at the end user's device, and mostly utilize TCP-based protocols in combination with progressive streaming for the media delivery.
In recent years, the HTTP protocol on top of the TCP protocol gained widespread popularity as a cost-efficient way to distribute pre-encoded video content to customers via progressive streaming. This is due to the fact that HTTP-based video streaming profits from a well-established infrastructure which was originally implemented to efficiently satisfy the increasing demand for web browsing and file downloads. Large Content Delivery Networks (CDN) are the key components of that distribution infrastructure. CDNs prevent expensive long-haul data traffic and delays by distributing HTTP content to world-wide locations close to the customers. As of 2012, already 53% of the global video traffic in the Internet originates from Content Delivery Networks and that percentage is expected to increase to 65% by the year 2017. Furthermore, HTTP media streaming profits from existing HTTP caching infrastructure, ease of NAT and proxy traversal and firewall friendliness.
Video delivery through heterogeneous wired and wireless communications networks is prone to distortions due to insufficient network resources. This is especially true in wireless scenarios, where user mobility and insufficient signal strength can result in a very poor transport service performance (e.g. high packet loss, delays and low and varying bandwidth). A poor performance of the transport in turn may degrade the Quality of Experience as perceived by the user, either due to buffer underruns (i.e. playback interruptions) for TCP-based delivery or image distortions for datagram-based real-time video delivery.
In order to overcome QoE degradations due to insufficient network resources, content provider have to consider adaptive video streaming. One possibility to implement this for HTTP/TCP streaming is by partitioning the content into small segments, encode the segments into different quality levels and provide access to the segments and the quality level details (e.g. resolution, average bitrate). During the streaming session, a client-centric adaptation algorithm can use the supplied details to adapt the playback to the current environment. However, a lack of a common HTTP adaptive streaming standard led to multiple proprietary solutions developed by major Internet companies like Microsoft (Smooth Streaming), Apple (HTTP Live Streaming) and Adobe (HTTP Dynamic Streaming) loosely based on the aforementioned principle. In 2012, the ISO/IEC published the Dynamic Adaptive Streaming over HTTP (MPEG-DASH) standard. As of today, DASH is becoming widely accepted with major companies announcing their support or having already implemented the standard into their products. MPEG-DASH is typically used with single layer codecs like H.264/AVC, but recent publications show that scalable video coding can use the existing HTTP infrastructure more efficiently. Furthermore, the layered approach of scalable video coding extends the adaptation options for the client, since already downloaded segments can be enhanced at a later time.
The influence of distortions on the perceived QoE for non-adaptive video streaming are well reviewed and published. For HTTP streaming, the QoE of the user is influenced by the initial delay (i.e. the time the client pre-buffers video data) and the length and frequency of playback interruptions due to a depleted video playback buffer. Studies highlight that even low stalling times and frequencies have a negative impact on the QoE of the user and should therefore be avoided. The first contribution of this thesis is the identification of QoE influence factors of adaptive video streaming by the means of crowd-sourcing and a laboratory study.
MPEG-DASH does not specify how to adapt the playback to the available bandwidth and therefore the design of a download/adaptation algorithm is left to the developer of the client logic. The second contribution of this thesis is the design of a novel user-centric adaption logic for DASH with SVC. Other download algorithms for segmented HTTP streaming with single layer and scalable video coding have been published lately. However, there is little information about the behavior of these algorithms regarding the identified QoE-influence factors. The third contribution is a user-centric performance evaluation of three existing adaptation algorithms and a comparison to the proposed algorithm. In the performance evaluation we also evaluate the fairness of the algorithms. In one fairness scenario, two clients deploy the same adaptation algorithm and share one Internet connection. For a fair adaptation algorithm, we expect the behavior of the two clients to be identical. In a second fairness scenario, one client shares the Internet connection with a large HTTP file download and we expect an even bandwidth distribution between the video streaming and the file download. The forth contribution of this thesis is an evaluation of the behavior of the algorithms in a two-client and HTTP cross traffic scenario.
The remainder of this thesis is structured as follows. Chapter II gives a brief introduction to video coding with H.264, the HTTP adaptive streaming standard MPEG-DASH, the investigated adaptation algorithms and metrics of Quality of Experience (QoE) for video streaming. Chapter III presents the methodology and results of the subjective studies conducted in the course of this thesis to identify the QoE influence factors of adaptive video streaming. In Chapter IV, we introduce the proposed adaptation algorithm and the methodology of the performance evaluation. Chapter V highlights the results of the performance evaluation and compares the investigated adaptation algorithms. Section VI summarizes the main findings and gives an outlook towards QoE-centric management of DASH with SVC.
The three closely related PUB proteins PUB22, PUB23 and PUB24 were described as important regulators for PTI signaling and plant immunity. To find cellular targets regulated by the action of the PUB triplet we performed a yeast two-hybrid screen to identify candidate target proteins of PUB22. We could identify Exo70B2 as a target protein of PUB22, which is ubiquitinated by the E3-ubiquitin ligase and consequently degraded in response to flg22 perception. The importance of Exo70B2 for immunity was shown by reverse genetics, demonstrating that exo70B2 mutants are impaired in PTI signaling and plant immunity.
Exo70B2 is one of 23 homologs of the yeast Exo70p in Arabidopsis thaliana, which is a subunit of an octameric protein complex, termed the exocyst. The exocyst complex is required for the tethering of post-Golgi vesicles to specific target membranes and thus an important component of intracellular vesicle trafficking. The elucidated function of Exo70B2 and its requirement for PTI signaling is a novel finding and similar functions had not yet been described for the exocyst complex or subunits thereof in plants. Additional target proteins of PUB22 are also predicted to be involved in vesicle trafficking processes, suggesting that PUB22 has specialized to regulate trafficking protein complexes required for PTI signaling.
Furthermore, the presented work suggests a mechanism for the regulation of Exo70B2 ubiquitination by PUB22. PUB22 was shown to be intrinsically instable due to its autocatalytic ubiquitination activity. Flg22 treatment induced the rapid post-translational stabilization of PUB22. This potentially enables the ligase to efficiently interact with Exo70B2, resulting in its polyubiquitination and 26S-proteasome-dependent turnover.
Staphylococcus aureus (SA) causes nosocomial infections including life threatening sepsis by multi-resistant strains (MRSA). It has the ability to form biofilms to protect it from the host immune system and from anti staphylococcal drugs. Biofilm and planctonic life style is regulated by a complex Quorum-Sensing (QS) system with agr as a central regulator. To study biofilm formation and QS mechanisms in SA a Boolean network was build (94 nodes, 184 edges) including two different component systems such as agr, sae and arl. Important proteins such as Sar, Rot and SigB were included as further nodes in the model. System analysis showed there are only two stable states biofilm forming versus planctonic with clearly different subnetworks turned on. Validation according to gene expression data confirmed this. Network consistency was tested first according to previous knowledge and literature. Furthermore, the predicted node activity of different in silico knock-out strains agreed well with corresponding micro array experiments and data sets. Additional validation included the expression of further nodes (Northern blots) and biofilm production compared in different knock-out strains in biofilm adherence assays. The model faithfully reproduces the behaviour of QS signalling mutants. The integrated model allows also prediction of various other network mutations and is supported by experimental data from different strains. Furthermore, the well connected hub proteins elucidate how integration of different inputs is achieved by the QS network. For in silico as well as in vitro experiments it was found that the sae-locus is also a central modulator of biofilm production. Sae knock-out strains showed stronger biofilms. Wild type phenotype was rescued by sae complementation. To elucidate the way in which sae takes influence on biofilm formation the network was used and Venn-diagrams were made, revealing nodes regulated by sae and changed in biofilms. In these Venn-diagrams nucleases and extracellular proteins were found to be promising nodes. The network revealed DNAse to be of great importance. Therefore qualitatively the DNAse amount, produced by different SA mutants was measured, it was tried to dissolve biofilms with according amounts of DNAse and the concentration of nucleic acids, proteins and polysaccharides were measured in biofilms of different SA mutants.
With its thorough validation the network model provides a powerful tool to study QS and biofilm formation in SA, including successful predictions for different knock-out mutant behaviour, QS signalling and biofilm formation. This includes implications for the behaviour of MRSA strains and mutants. Key regulatory mutation combinations (agr–, sae–, sae–/agr–, sigB+, sigB+/sae–) were directly tested in the model but also in experiments. High connectivity was a good guide to identify master regulators, whose detailed behaviour was studied both in vitro and in the model. Together, both lines of evidence support in particular a refined regulatory role for sae and agr with involvement in biofilm repression and/or SA dissemination. With examination of the composition of different mutant biofilms as well as with the examination of the reaction cascade that connects sae to the biofilm forming ability of SA and also by postulating that nucleases might play an important role in that, first steps were taken in proving and explaining regulatory links leading from sae to biofilms. Furthermore differences in biofilms of different mutant SA strains were found leading us in perspective towards a new understanding of biofilms including knowledge how to better regulate, fight and use its different properties.
In the field of organic photovoltaics, one of the most intensely researched topics to date is the charge carrier photogeneration in organic bulk heterojunction solar cells whose thorough understanding is crucial for achieving higher power conversion efficiencies. In particular, the mechanism of singlet exciton dissociation at the polymer–fullerene interface is still controversially debated.
This work addresses the dissociation pathway via relaxed charge transfer states (CTS) by investigating its field dependence for reference material systems consisting of MDMO-PPV and one of the fullerene derivatives PC61BM, bisPCBM and PC71BM. Field dependent photoluminescence (PL(F)) and transient absorption (TA(F)) measurements give insight into the recombination of charge transfer excitons (CTE) and the generation of polarons, respectively. Optically detected magnetic resonance and atomic force microscopy are used to characterize the morphology of the samples.
The comparison of the experimental field dependent exciton recombination recorded by PL(F) and the theoretical exciton dissociation probability given by the Onsager–Braun model yields the exciton binding energy as one of the key parameters determining the dissociation efficiency. The binding energies of both the singlet exciton in neat MDMO-PPV and the CTE in MDMO-PPV:PC61BM 1:1 are extracted, the latter turning out to be significantly reduced with respect to the one of the singlet exciton.
Based on these results, the field dependence of CTE dissociation is evaluated for MDMO-PPV:PC61BM blends with varying fullerene loads by PL(F) and TA(F). For higher PC61BM contents, the CTE binding energies decrease notably. This behavior is ascribed to a larger effective dielectric constant for well-intermixed blends and to an interplay between dielectric constant and CTE delocalization length for phase separated morphologies, emphasizing the importance of high dielectric constants for the charge carrier photogeneration process.
Finally, the CTE binding energies are determined for MDMO-PPV blends with different fullerene derivatives, focusing on the influence of the acceptor LUMO energy. Here, the experimental results suggest the latter having no or at least no significant impact on the binding energy of the CTE. Variations of this binding energy are rather related to different trap levels in the acceptors which seem to be involved in CTS formation.
Hyperinsulinemia, a condition with excessively high insulin blood levels, is related to an increased cancer incidence. Diabetes mellitus, metabolic syndrome, obesity and polycystic ovarian syndrome are the most common of several diseases accompanied by hyperinsulinemia. Since an elevated cancer risk especially for colon and kidney cancers, was reported for those patients, we investigated for the first time the induction of genomic damage by insulin mainly in HT29 (human colon cells), LLC-PK1 (pig kidney cells), HK2 (human kidney cells) and peripheral lymphocytes, and to confirm the genotoxicity of insulin in other cells from different tissues. To ascertain that the insulin effects were not only limited to permanent cell lines, rat primary colon, kidney, liver and fatty tissue cells were also studied. To connect the study and the findings to in vivo conditions, two in vivo models for hyperinsulinemia were used; Zucker diabetic fatty rats in a lean and diabetic state infused with different insulin concentrations and peripheral lymphocytes from type 2 diabetes mellitus patients. First, the human colon adenocarcinoma cells (HT29) showed significant elevation of DNA damage using comet assay and micronucleus frequency analysis upon treatment with 5 nM insulin in standard protocols. Extension of the treatment to 6 days lowered the concentration needed to reach significance to 0.5-1 nM. Insulin enhanced the cellular ROS production as examined by the oxidation of the dyes 2´,7´-dichlorodihydrofluorescein diacetate (H2DCF-DA) and dihydroethidium (DHE). The FPG modified comet assay and the reduction of damage by the radical scavenger tempol connected the insulin-mediatedDNA damage to ROS production. To investigate the sources of ROS upon insulin stimulation, apocynin and VAS2870 as NADPH oxidase inhibitors and rotenone as mitochondrial inhibitor were applied in combination with insulin and all of them led to a reduction of the genomic damage. Investigation of the signaling pathway started by evaluation of the binding of insulin to its receptor and to the IGF-1 receptor. The results showed the involvement of both receptors in the signaling mechanism. Following the activation of both receptors, PI3K activation occurs leading to phosphorylation of AKT which in turn activates two pathways for ROS production, the first related to mitochondria and the second through activation of Rac1 , resulting in the activation of Nox1. Both pathways could be activated through AKT or through the mitochondrial ROS which in turn could activates Nox1. Studying another human colon cancer cell line, Caco-2 and rat primary colon cells in vitro confirmed the effect of insulin on cellular chromatin. We conclude that pathophysiological levels of insulin can cause DNA damage in colon cells, which may contribute to the induction or progression of colon cancer. Second, in kidney cells, insulin at a concentration of 5 nM caused a significant increase in DNA damage in vitro. This was associated with the formation of reactive oxygen species (ROS). In the presence of antioxidants, blockers of the insulin and IGF-1 receptors, and a phosphatidylinositol 3-kinases (PI3K) inhibitor, the insulin mediated DNA damage was reduced. Phosphorylation of AKT was increased and p53 accumulated. Inhibition of the mitochondrial and NADPH oxidase related ROS production reduced the insulin mediated damage. In primary rat cells insulin also induced genomic damage. HK2 cells were used to investigate the mechanistic pathway in the kidney The signaling is identical to the one in the colon cells untill the activation of the mitochondrial ROS production, because after the activation of PI3K activation of Nox4 occurs at the same time across talk between mitochondria and Nox4 activation has been suggested and might play a role in the observed effects. In the in vivo model, kidneys from healthy, lean ZDF rats, which were infused with insulin to yield normal or high blood insulin levels, while keeping blood glucose levels constant, the amounts of ROS and p53 were elevated in the high insulin group compared to the control level group. ROS and p53 were also elevated in diabetic obese ZDF rats. The treatment of the diabetic rats with metformin reduced the DNA oxidation measured as 8-oxodG as well as the ROS production in that group. HL60 the human premyelocytic cells and cultured lymphocytes as models for the hemopoietic system cells showed a significant induction for DNA damage upon treatment with insulin. The diabetic patients also exhibited an increase in the micronucleus formation over the healthy individuals. In the present study, we showed for the first time that insulin induced oxidative stress resulting in genomic damage in different tissues, and that the source of the produced ROS differs between the tissues. If the same mechanisms are active in patients, hyperinsulinemia might cause genomic damage through the induction of ROS contributing to the increased cancer risk, against which the use of antioxidants as well as mitochondrial and NADPH oxidase inhibitors might exert protective effects with cancer preventive potential under certain conditions. Normal healthy human plasma insulin concentrations are in the order of 0.04 nM after overnight fasting and increase to less than about 0.2 nM after a meal. Pathophysiological levels can reach 1 nM and can stay above 0.2 nM for the majority of the daytime yielding condictions close to the insulin concentrations determined in the present study. Whether the observed effects also occur in vivo and whether they actually initiate or promote tumor formation remains to be determined. However, if proof of that can be obtained, our experiments with inhibitors indicate chances for pharmacological intervention applying antioxidants or enzyme inhibitors. It will not be the aim to reduce ROS in any case or as much as possible because ROS have now been recognized as important signaling molecules and participatants in immune defense, but a reduction to physiological levels instead of pathophysiological levels in the context of a disease associated with ROS overproduction might be beneficial.
Peritonitis is a common disease in man, frequently caused by fungi, such as Candida albicans; however, in seldom cases opportunistic infections with Saccharomyces cerevisiae are described. Resident peritoneal macrophages (prMΦ) are the major group of phagocytic cells in the peritoneum. They express a broad range of surface pattern recognition receptors (PRR) to recognize invaders. Yeast infections are primarily detected by the Dectin-1 receptor, which triggers activation of NFAT and NF-κB pathways.
The transcription of the Nfatc1 gene is directed by the two alternative promoters, inducible P1 and relatively constitutive P2 promoter. While the role of P1-directed NFATc1α-isoforms to promote survival and proliferation of activated lymphocytes is well-established, the relevance of constitutively generated NFATc1β-isoforms, mainly expressed in resting lymphocytes, myeloid and non-lymphoid cells, remains unclear. Moreover, former work at our department indicated different roles for NFATc1α- and NFATc1β-proteins in lymphocytes.
Our data revealed the functional role of NFATc1 in peritoneal resident macrophages. We demonstrated that the expression of NFATc1β is required for a proper immune response of prMΦ during fungal infection-induced acute peritonitis. We identified Ccl2, a major chemokine produced in response to fungal infections by prMΦ, as a novel NFATc1 target gene which is cooperatively regulated through the NFAT- and canonical NF-κB pathways. Consequently, we showed that NFATc1β deficiency in prMΦ results in a decreased infiltration of inflammatory monocytes, leading to a delayed clearance of peritoneal fungal infection.
We could further show that the expression of NFATc1β-isoforms is irrelevant for homeostasis of myeloid and adaptive immune system cells and that NFATc1α- (but not β-) isoforms are required for a normal development of peritoneal B1a cells. In contrast to the situation in myeloid cells, NFATc1β deficiency is compensated by increased expression of NFATc1α-isoforms in lymphoid cells. As a consequence, NFATc1ß is dispensable for activation of the adaptive immune system.
Taken together our results illustrate the redundancy and indispensability of NFATc1-isoforms in the adaptive and innate immune system, indicating a complex regulatory system for Nfatc1 gene expression in different compartments of the immune system and likely beyond that.
Marine sponges are the most ancient metazoans and of large ecological importance as drivers of water and nutrient flows in benthic habitats. Furthermore marine sponges are well known for their association with highly abundant and diverse microbial consortia. Microorganisms inhabit the extracellular matrix of marine sponges where they can make up to 35% of the sponge’s biomass. Many microbial symbionts of marine sponges are highly host specific and cannot, or only in very rare abundances, be found outside of their host environment. Of special interest is the candidate phylum Poribacteria that was first discovered in marine sponges and still remains almost exclusive to their hosts. Phylogenetically Poribacteria were placed into the Planctomycetes, Verrucomicrobia, Chlamydiae superphylum and similarly to many members of this superphylum cell compartmentation has been proposed to occur in members of the Poribacteria. The status as a candidate phylum implies that no member of Poribacteria has been obtained in culture yet. This restricts the investigations of Poribacteria and their interactions with marine sponges to culture independent methods and makes functional characterisation a difficult task.
In this PhD thesis I used the novel method of single-cell genomics to investigate the genomic potential of the candidate phylum Poribacteria. Single-cell genomics enables whole genome sequencing of uncultivated microorganisms by singularising cells from the environment, subsequent cell lysis and multiple displacement amplification of the total genomic DNA. This process yields sufficient amounts of DNA for whole genome sequencing and genome analysis. This technique and its relevance for symbiosis studies are discussed in this PhD thesis.
Through the application of single-cell genomics it was possible to increase the number of single-amplified genomes of the candidate phylum Poribacteria from initially one to a total of six. Analyses of these datasets made it possible to enhance our understanding of the metabolism, taxonomy, and phylum diversity of Poribacteria and thus made these one of the best-characterised sponge symbionts today. The poribacterial genomes represented three phylotypes within the candidate phylum of which one appeared dominant. Phylogenetic and phylogenomic analyses revealed a novel phylogenetic positioning of Poribacteria distinctly outside of the Planctomycete, Verrucomicorbia, Chlamydiae superphylum. The occurrence of cell compartmentation in Poribacteria was also revisited based on the obtained genome sequences and revealed evidence for bacterial microcompartments instead of the previously suggested nucleotide-like structures. An extensive genomic repertoire of glycoside hydrolases, glycotransferases, and other carbohydrate active enzymes was found to be the central shared feature between all poribacterial genomes and showed that Poribacteria are among those marine bacteria with the largest genomic repertoire for carbohydrate degradation. Detailed analysis of the carbohydrate metabolism revealed that Poribacteria have the genomic potential for degradation of a variety of polymers, di- and monosaccharaides that allow these symbionts to feed various nutrient sources accessible through the filter-feeding activities of the sponge host. Furthermore the poribacterial glycobiome appeared to enable degradation of glycosaminoglycan chains, one of the main building blocks of extracellular matrix of marine sponges. Different lifestyles resulting from the poribacterial carbohydrate degradation potential are discussed including the influence of nutrient cycling in sponges, nutrient recycling and scavenging. The findings of this thesis emphasise the long overlooked importance of heterotrophic symbionts such as Poribacteria for the interactions with marine sponges and represent a solid basis for future studies of the influence heterotrophic symbionts have on their sponge hosts.
In this study we have investigated the possible role of c-Jun and it’s activation by the JNK pathway in neuronal cell death and in the inflammatory response of activated astrocytes. The first part of this thesis focuses on the role of site specific phosphorylation of c-Jun in neuronal cell death. The second part focuses on the function of c-Jun in LPS-mediated activation of Bergmann glia cells.
In the nervous system, activation of c-Jun transcription factor by different isoforms of c-Jun N-terminal kinase (JNK) functions in various cellular programs, including neurite outgrowth, repair and apoptosis. Yet, the regulatory mechanism underlying the functional dichotomy of c-Jun remains to be elucidated. Serine (S) 63/73 and threonine (T) 91/93 of c-Jun are the target phosphorylation sites for JNKs in response to various stimuli. Yet, these two groups of phosphorylation sites are differentially regulated in vivo, as the S63/73 sites are promptly phosphorylated upon JNK activation, whereas T91/93 phosphorylation requires a priming event at the adjacent T95 site. In our study, we used cerebellar granule cell (CGC) apoptosis by trophic/potassium (TK) deprivation as a model system to investigate the regulation and function of site-specific c-Jun phosphorylation at the S63 and T91/T93 JNK-sites in neuronal cell death. In this model system, JNK induces pro-apoptotic genes through the c-Jun/Ap-1 transcription factor. On the other side, a survival pathway initiated by lithium leads to repression of pro-apoptotic c-Jun/Ap-1 target genes without interfering with JNK activity. Yet, the mechanism by which lithium inhibits c-Jun activity remains to be elucidated. We found that TK-deprivation led to c-Jun phosphorylation at all three JNK sites. However, immunofluorescence analysis of c-Jun phosphorylation at single cell level revealed that the S63 site was phosphorylated in all c-Jun-expressing cells, whereas the response of T91/T93 phosphorylation was more sensitive, mirroring the switch-like apoptotic response of cerebellar granular cells (CGCs). Furthermore, we observed that lithium impaired c-Jun phosphorylation at T91/93, without interfering with S63/73 phosphorylation or JNK activation, suggesting that T91/T93 phosphorylation triggers c-Jun pro-apoptotic activity. Notably, expression of a c-Jun mutant lacking the T95-priming site for T91/93 phosphorylation (c-Jun A95) mimicked the effect of lithium on both cell death and c-Jun site-specific phosphorylation, whereas it was fully able to induce neurite outgrowth in naïve PC12 cells. Vice-versa, a c-Jun mutant bearing aspartate-substitution of T95 overwhelmed lithium-mediate protection of CGCs from TK-deprivation, validating that inhibition of T91/T93/T95 phosphorylation underlies the effect of lithium on cell death. Mass-spectrometry analysis confirmed that c-Jun is phosphorylation at T91/T93/T95 in cells. Moreover, recombinant-JNK phosphorylated c-Jun at T91/T93 in a T95-dependent manner. Based on our results, we propose that T91/T93/T95 phosphorylation of c-Jun functions as a sensitivity amplifier of the JNK cascade, setting the threshold for c-Jun pro-apoptotic activity in neuronal cells.
In the central nervous system (CNS), the c-Jun transcription factor has been mainly studied in neuronal cells and coupled to apoptotic and regenerative pathways following brain injury. Besides, several studies have shown a transcriptional role of c-Jun in activated cortical and spinal astrocytes. In contrast, little is known about c-Jun expression and activation in Bergmann glial (BG) cells, the radial cerebellar astrocytes playing crucial roles in cerebellar development and physiology. In this study, we used neuronal/glial cerebellar cultures from neonatal mice to assess putative functions of c-Jun in BG cells. By performing double immunocytochemical staining of c-Jun and two BG specific markers, S100 and GLAST, we observed that c-Jun was highly expressed in radial glial cells derived from Bergmann glia. Bergmann glia-derived cells expressed toll-like receptor (TLR 4) and treatment with bacterial lipopolysaccharide (Le et al.) induced c-Jun phosphorylation at S63, exclusively in BG cells. Moreover, LPS induced IL-1β expression and inhibition of JNK activity abolished both c-Jun phosphorylation and the increase of IL-1β mRNA. Notably, we also observed that LPS failed to induce IL-1β mRNA in neuronal/glial cerebellar cultures generated from conditional knockout mice lacking c-Jun expression in the CNS. These results indicate that c-Jun plays a central role in c-Jun in astroglial-specific induction of IL-1β. Furthermore, we confirmed in vivo that c-Jun is expressed in BG cells, during the formation of the BG monolayer. Altogether, our finding underlines a putative role of c-Jun in astroglia-mediated neuroinflammatory dysfunctions of the cerebellum.
In the central Alps permafrost can be expected above 2300 m a.s.l., at altitudes where mean annual air temperatures are below -1 °C. Isolated permafrost occurrences can be detected in north-exposed talus slopes, far below the timberline, where mean annual air temperatures are positive. Driving factors are assumed to be a low income of solar radiation, a thick organic layer with high insulation capacities as well as the thermally induced chimney effect.
Aim of this study is to achieve a deeper understanding of the factors determining the site-specific thermal regime, as well as the spatially limited and temporally highly variable permafrost occurrences in vegetated talus slopes.
Three supercooled talus slopes in the Swiss Alps were chosen for investigation. Substantially different characteristics were a central criterion in the selection of study sites. Located in the Upper Engadin, climatic conditions, altitude as well as dimensions of the talus slopes are comparable for the study sites Val Bever and Val Susauna; major differences are rooted in the nature of talus substrate and in humus- and vegetation distribution. Characteristics of the Brüeltobel site, located in the Appenzeller Alps, diverge with regard to climatic conditions, altitude and dimensions of the talus slope; humus- and vegetation compositions are comparable to the Val Susauna site.
Confirmation and characterisation of ground ice is accomplished by the application of electrical resistivity and seismic refraction tomography. The estimation of the spatial permafrost distribution is based on quasi-3D resistivity imaging. For the confirmation of permafrost and the analysis of its temporal variability electrical resistivity monitoring arrays were constructed and installed at all study sites, to allow year-round measurements. In addition to resistivity monitoring, the – up to now – first seismic refraction tomography winter monitoring was conducted at the Val Susauna to analyse the permafrost evolution during the winter half-year. Investigations of the ground thermal regime were based on the analysis of temperature logger data. Besides recording air- and ground surface temperatures, focus was set on the temperature evolution in vents and in the organic layer. To analyse the relationship between permafrost distribution on the one hand and humus- and vegetation distribution on the other hand, an extensive mapping of humus characteristics and vegetation composition was conducted at Val Susauna.
The existence of permafrost could be proven at all study sites. Spatially, permafrost bodies show a narrow transition to neighbouring, unfrozen areas. As observed at Val Susauna, the permafrost distribution strongly correlates with areas with exceptionally thick organic layer, high percentages of mosses and lichens in the undergrowth and dwarf grown trees. The temporal variability of permafrost has proven to be exceptionally high, with the magnitude of seasonal variations distinctly exceeding intra-annual changes. Thereby, the winter season is characterised by a significant supercooling. During snowmelt a growth in volumetric ice content is induced by refreezing of percolating meltwater on the supercooled talus.
The results confirmed the fundamental influence of the chimney effect on the existence and temporal variability of permafrost in talus slopes. Divergences in the effectiveness of the thermal regime were detected between the study sites. These are based on differences in the nature of talus material, humus characteristics and vegetation composition.
During summer, the organic material is usually dry at the daytime, inducing a high insulation capability and a protection of the subsurface against high atmospheric temperatures. Bouldery talus slopes typically show an organic layer that is fragmented by large boulders, which induces a strongly reduced insulation capability and allows an efficient heat exchange by convective airflow and percolating precipitation water. In the winter half-year, the thermal conductivity of the organic layer increases massively under moist or frozen conditions, allowing an efficient, conductive cooling of the talus material. The convective cooling in bouldery talus slopes affects an earlier onset and a higher magnitude of supercooling than under consistent humus conditions. Here, conductive heat flow is dominant and the cooling in autumn is buffered by a prolonged zero curtain. The snow cover has proven to be incapable of prohibiting an efficient supercooling of the talus slope in winter, almost independent from thickness.
In this work, we take a look at the connection of gamma-ray bursts (GRBs) and ultra-high-energy cosmic rays (UHECR) as well as the possibilities how to verify this connection. The currently most promising approach is based on the detection of high-energy neutrinos, which are associated with the acceleration of cosmic rays. We detail how the prompt gamma-ray emission is connected to the prediction of a neutrino signal. We focus on the interactions of photons and protons in this regard. At the example of the current ANTARES GRB neutrino analysis, we show the differences between numerical predictions and older analytical methods. Moreover, we discuss the possibilities how cosmic ray particles can escape from GRBs, assuming that UHECR are entirely made up of protons. For this, we compare the commonly assumed neutron escape model with a new component of direct proton escape. Additionally, we will show that the different components, which contribute to the cosmic ray flux, strongly depend on the burst parameters, and test the applicability on some chosen GRBs. In a further step, we continue with the considerations regarding the connection of GRBs and UHECR by connecting the GRB source model with the cosmic
ray observations using a simple cosmic ray propagation code. We test if it is possible to achieve the observed cosmic ray energy densities with our simple model and what the consequences are regarding the prompt GRB neutrino flux predictions as well as the cosmogenic neutrinos. Furthermore, we consider the question of neutrino lifetime and how it affects the prompt GRB neutrino flux predictions. In a final chapter, we show that it is possible to apply the basic source model with photohadronic interactions to other types of sources, using the example of the microquasar Cygnus X-3.
In their natural environment animals face complex and highly dynamic olfactory input. This requires fast and reliable processing of olfactory information, in vertebrates as well as invertebrates. Parallel processing has been shown to improve processing speed and power in other sensory systems like auditory or visual. In the olfactory system less is known about olfactory coding in general and parallel processing in particular. With its elaborated olfactory system and due to their specialized neuroanatomy, honeybees are well-suited model organism to study parallel olfactory processing. The honeybee possesses a unique neuronal architecture - a dual olfactory pathway. Two mirror-imaged output projection neuron (PN) pathways connect the first olfactory processing stage, the antennal lobe (analog to the vertebrates olfactory bulb, OB), with the second, the mushroom body (MB) known to be involved in orientation and learning and memory, and the lateral horn (LH). The medial antennal lobe-protocerebral tract (m-APT) first innervates the MB and thereafter the LH, while the other, the lateral-APT (l-APT) projects in opposite direction. The neuroanatomy and evolution of these pathways has been analyzed, yet little is known about its physiology. To analyze the function of the dual olfactory pathway a new established recording method was designed and is described in the first chapter of this thesis (multi-unit-recordings). This is now the first time where odor response from several PNs of both tracts is recorded simultaneously and with high temporal precision. In the second chapter the PN odor responses are analyzed. The major findings are: both tracts responded to all tested odors but with differing characteristics. Since recent studies describe the input to the two tracts being rather similar, the results now indicate differential odor processing along the tracts, therefore this is a good indicator for parallel processing. PNs of the m-APT process odors in a sparse manner with delayed response latencies, but with high odor-specificity. PNs of the l-APT in contrast respond to several odor stimuli and respond in general faster. In some PN originating from both tracts, characteristics of odor-identity coding via response latencies were found. Analyzing the over-all dynamic range of the PNs both l- and m-APT PNs were tested over a large odor concentration range (10-6 to 10-2) (3. chapter). The PNs responded with linear and non-linear correlation of the response strength to the odor concentration. In most cases the l-APT is comparatively more sensitive to low odor concentrations. Response latency decreases with increasing odor concentration in both tracts. Alternative coding principles and elaboration on the hypothesis whether the dual olfactory pathway may contribute coincidental innervation to the next higher-order neurons, the Kenyon cells (KC), is subject of the 4. chapter. Cross-correlations and synchronous responses of both tracts show that in principle odors may be coded via temporal coding. Results suggest that odor processing is enhanced if both tracts contribute to olfactory coding together. In another project the distribution of the inhibitory neurotransmitter GABA (gamma-aminobutyric acid) was measured in the bee’s MB during adult maturation (5. chapter). GABAergic inhibition is of high importance in odor coding. An almost threefold decrease in the total amount of GABAergic innervation was found during adult maturation in the l- and m-APT target region, in particular at the change in division of labor during the transition from a young nurse bee to an older forager bee. The results fit well into the current understanding of brain development in the honeybee and other social insects during adult maturation, which was described as presynaptic pruning and KC dendritic outgrowth. Combining anatomical and functional properties of the bee’s dual olfactory pathway suggests that both rate and temporal coding are implemented along two parallel streams. Comparison with recent work on analog output pathways of the vertebrate’s OB indicates that parallel processing of olfactory information may be a common principle across distant taxa.
In this dissertation, I examine the relationship between specialisation and stability of plant-pollinator networks, with a focus on two issues: Diversity maintenance in animal-pollinated plant communities and robustness of plant-pollinator systems against disturbances such as those caused by anthropogenic climate change. Chapter 1 of this thesis provides a general introduction to the concepts of ecological stability and specialisation with a focus on plant-pollinator systems, and a brief outline of the following chapters. Chapters 2-5 each consist of a research article addressing a specific question. While chapters 2 and 3 deal with different aspects of diversity maintenance in animal-pollinated plant communities, chapters 4 and 5 are concerned with the consequences of climate change in the form of temporary disturbances caused by extreme climatic events (chapter 4) and shifts in phenology of plants and pollinators (chapter 5). From a methodological perspective, the first three articles (chapter 2-4) can be grouped together as they all employ mathematical models of plant-pollinator systems, whereas chapter 5 describes an empirical study of plant-pollinator interactions along an altitudinal gradient in the Alps. The final chapter (6) provides a review of current knowledge on each of the two main themes of this thesis and places the findings of the four research articles in the context of related studies.