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In this thesis, I introduce the Virtual Brain Protocol, which facilitates applications of the Standard Brain of Drosophila melanogaster. By providing reliable and extensible tools for the handling of neuroanatomical data, this protocol simplifies and organizes the recurring tasks involved in these applications. It is demonstrated that this protocol can also be used to generate average brains, i.e. to combine recordings of several brains with the same features such that the common features are emphasized. One of the most important steps of the Virtual Insect Protocol is the aligning of newly recorded data sets with the Standard Brain. After presenting methods commonly applied in a biological or medical context to align two different recordings, it is evaluated to what extent this alignment can be automated. To that end, existing Image Processing techniques are assessed. I demonstrate that these techniques do not satisfy the requirements needed to guarantee sensible alignments between two brains. Then, I analyze what needs to be taken into account in order to formulate an algorithm which satisfies the needs of the protocol. In the last chapter, I derive such an algorithm using methods from Information Theory, which bases the technique on a solid mathematical foundation. I show how Bayesian Inference can be applied to enhance the results further. It is demonstrated that this approach yields good results on very noisy images, detecting apparent boundaries between structures. The same approach can be extended to take additional knowledge into account, e.g. the relative position of the anatomical structures and their shape. It is shown how this extension can be utilized to segment a newly recorded brain automatically.
The exploitation of landscapes increases fragmentation of valuable areas with high biodiversity. Consequently, many populations nowadays exist as metapopulations. In such cases, the balance between extinction and colonisation of patches determines the regional survival of species. To determine long term survival of species and to assess the impact of different management regimes proper knowledge of species habitat requirements as well as information on their dispersal behaviour is needed. The aim of this thesis was to develop methods and measures for the identification of suitable areas for grasshoppers and bush crickets, as well as to quantify the reachability of single patches by individuals. The first part of my work focuses on the quantification of habitat suitability for grasshoppers and bush crickets. Based on presence/absence data, I developed statistical habitat suitability models using logistic regression analyses. The resulting models are evaluated and validated in space and time. It turned out that habitat selection of the species mainly took place on an intermediate spatial scale. The relevant scale falls into the same range as the species’ mean dispersal distances. Besides the rather coarse grained factor ‘type of habitat’ structural factors as well as abiotic factors are correlated with the occurrence of the species. The model of S. lineatus, including the parameters ‘type of biotope’ and ‘vegetation height’ was most successful in predicting the occurrences of the bush cricket species. To further test whether the occurrence of species of different insect groups can be predicted with a common model, I tested the usefulness of the orthoptera models for the prediction of butterflies in the same region and vice versa. While transferability of the orthoptera models was poor, the model of the moth Z. carniolica performed quite successful. It included the proportion of suitable habitat as well as the occurrence of the two sucking plants C. jacea and S. columbaria as relevant factors. Z. carniolica is classified as stenoecious and thus represents other species typically found on fringes and mesoxerophytic grasslands. The high mobility of Z. carniolica simultaneously guarantees the reachability of regional suitable areas and thus ensures that the influence of the random effects of colonisation on the model are marginal. Unfortunately, the factors predicting habitat quality for a species are normally not available at the landscape level. Thus, they cannot be used for the prediction of occurrences without extensive censuses in the field. Nevertheless, my results show that the sole use of the variable ‘type of habitat’, which often is available landscape wide, will be sufficient for the classification of habitat suitability in a landscape. I conclude that for practical use in conservation biology the type of biotope can be used to predict occurrence of the studied species. Besides quality/quantity of suitable habitat, dispersal of individuals between patches is a key factor influencing the survival of populations. Thus, the second part of my work concentrates on theoretical as well as empirical studies on the dispersal behaviour of bush crickets. In field experiments I could show that the assumption of a dichotomous movement behaviour does not apply for bush crickets. Instead, movement pattern changes continuously with structural resistance, temperature, mortality risk and resource availability. This result is confirmed in my experiments on the behaviour of bush crickets at habitat borders. For different borders I could demonstrate different edge permeabilities. Additionally, I observed that grasshoppers could detect suitable habitat from a certain distance. Because the dispersal behaviour plays an important role in theoretical models, my empirical data can be used to parameterise such models. In addition to the influence of movement pattern on the reachability of suitable habitats, I could demonstrate, with simulation models, that the influence of the landscape context in which dispersal takes place has a critical impact on the exchange of individuals between patches. This effect is enhanced if mortality risk during dispersal is accounted for. The results from my studies on habitat suitability can be used to identify suitable habitat for grasshoppers and bush crickets in a landscape. Consequently, the potential suitability of an area as habitat, based on predictions on changes in the type of biotope by management regime, can be predicted. But this information alone is not sufficient to determine regional survival probability of a species. My investigations concerning the dispersal behaviour clearly show, that the reachability of suitable areas is dependent on the spatial configuration of patches and the structure of areas between habitats. Additionally, factors specific for individuals, like motivation and physiological factors play a crucial role for the reachability of suitable habitats.
While numerous experiments on NFAT were already performed with CD4+ T cells showing defective cytokine release and a reduced T helper cell development, no detailed studies existed for CD8+ T cells. From this point, we wanted to examine the impact of NFATc1 and c2 on the physiological functions of CD8+ T cells in vitro and in vivo. Therefore, we used a murine infection model with the bacteria Listeria monocytogenes and mice in which NFATc1 was specifically depleted in the T cell compartment.
Our first in vitro studies showed a typical NFATc1 and c2 nuclear translocation and changes on mRNA levels upon T cell activation similarly in CD4+ as well as in CD8+ T cells extracted from wild type mice. NFAT nuclear translocation is important for target gene activation and generation of effector functions. Stimulated T cell populations lacking NFATc1 and/or NFATc2 showed a markedly decreased expression of Th1/Tc1 cytokines, as e.g. IL 2 and IFNγ being important for the clearance of intracellular pathogens. From our in vitro model for the generation of allogenically reactive cytotoxic CD8+ T cells, we revealed a decreased killing and lytic granule-release capacity in Nfatc1 inactivated CD8+ T cells whereas NFATc2-/- cytotoxic T cells did not show an altered cytotoxic response compared to wild type cells.
Interestingly, we found lytic granules accumulated and mitochondria not getting translocated to the immunological synapse upon re-stimulation in NFATc1-deficient CD8+ T cells. Together with results showing the CsA insensitivity of the CTL killing/degranulation capacities, we assume that some major cellular processes are affected by NFATc1 which are not directly linked to the TCR-induced signal transduction cascade.
We also showed the importance of NFATc1 in T cells during intracellular infections with the bacteria Listeria monocytogenes in an in vivo mouse model. After five days, only few bacteria were detected in wt mice whereas high amounts of Listeria particles were extracted from livers of Nfatc1fl/fl x Cd4 cre mice. Although the reactivity towards the pathogen was similar in both groups, a decreased cytokine expression in NFATc1-/- CD8+ T cells was observed together with an altered memory cell generation.
Our results show the importance of NFATc1 in CD8+ T cells and give some clue for a possible connection to other basal cellular functions, as e.g. the formation of an immunological synapse.
The Gram-negative, spiral-shaped, microaerophilic bacterium Helicobacter pylori is the causative agent of various disorders of the upper gastrointestinal tract, such as chronic superficial gastritis, chronic active gastritis, peptic ulceration and adenocarcinoma. Although many of the bacterial factors associated with disease development have been analysed in some detail in the recent years, very few studies have focused so far on the mechanisms that regulate expression of these factors at the molecular level. In an attempt to obtain an overview of the basic mechanisms of virulence gene expression in H. pylori, three important virulence factors of this pathogen, representative of different pathogenic mechanisms and different phases of the infectious process, are investigated in detail in the present thesis regarding their transcriptional regulation. As an essential factor for the early phase of infection, including the colonisation of the gastric mucosa, the flagella are analysed; the chaperones including the putative adhesion factors GroEL and DnaK are investigated as representatives of the phase of adherence to the gastric epithelium and persistence in the mucus layer; and finally the cytotoxin associated antigen CagA is analysed as representative of the cag pathogenicity island, which is supposed to account for the phenomena of chronic inflammation and tissue damage observed in the later phases of infection. RNA analyses and in vitro transcription demonstrate that a single promoter regulates expression of cagA, while two promoters are responsible for expression of the upstream divergently transcribed cagB gene. All three promoters are shown to be recognised by RNA polymerase containing the vegetative sigma factor sigma 80. Promoter deletion analyses establish that full activation of the cagA promoter requires sequences up to -70 and binding of the C-terminal portion of the alpha subunit of RNA polymerase to an UP-like element located between -40 and -60, while full activation of the major cagB promoter requires sequences upstream of -96 which overlap with the cagA promoter. These data suggest that the promoters of the pathogenicity island represent a class of minimum promoters, that ensure a basic level of transcription, while full activation requires regulatory elements or structural DNA binding proteins that provide a suitable DNA context. Regarding flagellar biosynthesis, a master transcriptional factor is identified that regulates expression of a series of flagellar basal body and hook genes in concert with the alternative sigma factor sigma 54. Evidence is provided that this regulator, designated FlgR (for flagellar regulatory protein), is necessary for motility and transcription of five promoters for seven basal body and hook genes. In addition, FlgR is shown to act as a repressor of transcription of the sigma 28-regulated promoter of the flaA gene, while changes in DNA topology are shown to affect transcription of the sigma 54-regulated flaB promoter. These data indicate that the regulatory network that governs flagellar gene expression in H. pylori shows similarities to the systems of both Salmonella spp. and Caulobacter crescentus. In contrast to the flagellar genes which are regulated by three different sigma factors, the three operons encoding the major chaperones of H. pylori are shown to be transcribed by RNA polymerase containing the vegetative sigma factor sigma 80. Expression of these operons is shown to be regulated negatively by the transcriptional repressor HspR, a homologue of a repressor protein of Streptomyces spp., known to be involved in negative regulation of heat shock genes. In vitro studies with purified recombinant HspR establish that the protein represses transcription by binding to large DNA regions centered around the transcription initiation site in the case of one promoter, and around -85 and -120 in the case of the the other two promoters. In contrast to the situation in Streptomyces, where transcription of HspR-regulated genes is induced in response to heat shock, transcription of the HspR-dependent genes in H. pylori is not inducible with thermal stimuli. Transcription of two of the three chaperone encoding operons is induced by osmotic shock, while transcription of the third operon, although HspR-dependent, is not affected by salt treatment. Taken together, the analyses carried out indicate that H. pylori has reduced its repertoire of specific regulatory proteins to a basic level that may ensure coordinate regulation of those factors that are necessary during the initial phase of infection including the passage through the gastric lumen and the colonisation of the gastric mucosa. The importance of DNA topology and/or context for transcription of many virulence gene promoters may on the other hand indicate, that a sophisticated global regulatory network is present in H. pylori, which influences transcription of specific subsets of virulence genes in response to changes in the microenvironment.
Since the fruit fly Drosophila melanogaster entered the laboratories as a model organism, new genetic, physiological, molecular and behavioral techniques for the functional analysis of the brain rapidly accumulated. Nowadays this concerted assault obtains its main thrust form Gal4 expression patterns that can be visualized and provide the means for manipulating -in unrestrained animals- groups of neurons of the brain. To take advantage of these patterns one needs to know their anatomy. This thesis describes the Virtual Insect Brain (VIB) protocol, a software package for the quantitative assessment, comparison, and presentation of neuroanatomical data. It is based on the 3D-reconstruction and visualization software Amira (Mercury Inc.). Its main part is a standardization procedure which aligns individual 3D images (series of virtual sections obtained by confocal microscopy) to a common coordinate system and computes average intensities for each voxel (volume pixel). The VIB protocol facilitates direct comparison of gene expression patterns and describes their interindividual variability. It provides volumetry of brain regions and helps to characterize the phenotypes of brain structure mutants. Using the VIB protocol does not require any programming skills since all operations are carried out at a (near to) self-explanatory graphical user interface. Although the VIB protocol has been developed for the standardization of Drosophila neuroanatomy, the program structure can be used for the standardization of other 3D structures as well. Standardizing brains and gene expression patterns is a new approach to biological shape and its variability. Using the VIB protocol consequently may help to integrate knowledge on the correlation of form and function of the insect brain. The VIB protocol provides a first set of tools supporting this endeavor in Drosophila. The software is freely available at http://www.neurofly.de.
Like many other social insect societies, honeybees collectively share the resources they gather by feeding each other. These feeding contacts, known as trophallaxis, are regarded as the fundamental basis for social behavior in honeybees and other social insects for assuring the survival of the individual and the welfare of the group. In honeybees, where most of the trophallactic contacts are formed in the total darkness of the hive, the antennae play a decisive role in initiation and maintenance of the feeding contact, because they are sensitive to gustatory stimuli. The sequences of behaviors performed by the receiver bees at the beginning of a feeding contact includes the contact of one antenna with the mouthparts of a donor bee where the regurgitated food is located. The antennal motor action is characterized by behavioral asymmetry, which is novel among communicative motor actions in invertebrates. This preference of right over left antenna is without exception even after removal of the antennal flagellum. This case of laterality in basic social interaction might have its reason in the gustatory asymmetry in the antennae, because the right antenna turns out to be significantly more sensitive to stimulation with sugar water of various concentrations than the left one. Trophallactic contacts which guarantee a constant access to food for every individual in the hive are vitally important to the honeybee society, because honeybees are heterothermic insects which actively regulate their thoracic temperature. Even though the individual can regulate its body temperature, its heating performance is strictly limited by the amount of sugar ingested. The reason for this is that honeybees use mostly the glucose in their hemolymph as the energy substrate for muscular activity, and the heat producing flight muscles are among the metabolically most active tissues known. The fuel for their activity is honey; processed nectar with a sugar content of ~80% stored in the honeycomb. The results show that the sugar content of the ingested food correlates positively with the thoracic temperature of the honeybees even if they are caged and show no actual heating-related behavior as in brood warming or heating in the centre of the winter cluster. Honeybees actively regulate their brood temperature by heating to keep the temperature between 33 °C to 36 °C if ambient temperatures are lower. Heating rapidly depletes the worker’s internal energy; therefore the heating performance is limited by the honey that is ingested before the heating process. This study focused on the behavior and the thoracic temperature of the participants in trophallactic food exchanges on the brood comb. The brood area is the centre of heating activity in the hive, and therefore the region of highest energy demand. The results show that the recipients in a trophallactic food exchange have a higher thoracic temperature during feeding contacts than donors, and after the feeding contact the former engage in brood heating more often. The donor bees have lower thoracic temperature and shuttle constantly between honey stores and the brood comb, where they transfer the stored honey to heating bees. In addition, the results show a heat-triggered mechanism that enables donor and recipient to accomplish trophallactic contacts without delay in the total darkness of the hive in the brood area as the most energy consuming part of the hive. Providing heat-emitting workers with small doses of high performance fuel contributes to an economic distribution of resources consistent with the physiological conditions of the bees and the ecological requirements of the hive, resulting in a highly economical resource management system which might be one of the factors favouring the evolution of perennial bee colonies in temperate regions. The conclusion of these findings suggests a resource management strategy that has evolved from submissive placation behavior as it is seen in honeybees, bumblebees and other hymenopterans. The heat-triggered feedback mechanism behind the resource management of the honeybee´s thermoregulatory behavior reveals a new aspect of the division of labor and a new aspect of communication, and sheds new light on sociality in honeybees.
I. Timing is a crucial feature in organisms that live within a variable and changing environment. Complex mechanisms to measure time are wide-spread and were shown to exist in many taxa. These mechanisms are expected to provide fitness benefits by enabling organisms to anticipate environmental changes and adapt accordingly. However, very few studies have addressed the adaptive value of proper timing. The objective of this PhD-project was to investigate mechanisms and fitness consequences of timing decisions concerning colony phenology and foraging activity in the honey bee (Apis mellifera), a social insect species with a high degree of social organization and one of the most important pollinators of wild plants and crops. In chapter II, a study is presented that aimed to identify the consequences of disrupted synchrony between colony phenology and the local environment by manipulating the timing of brood onset after hibernation. In a follow-up experiment, the importance of environmental factors for the timing of brood onset was investigated to assess the potential of climate change to disrupt synchronization of colony phenology (Chapter III). Chapter IV aimed to prove for the first time that honey bees can use interval time-place learning to improve foraging activity in a variable environment. Chapter V investigates the fitness benefits of information exchange between nest mates via waggle dance communication about a resource environment that is heterogeneous in space and time.
II. In the study presented in chapter II, the importance of the timing of brood onset after hibernation as critical point in honey bee colony phenology in temperate zones was investigated. Honey bee colonies were overwintered at two climatically different sites. By translocating colonies from each site to the other in late winter, timing of brood onset was manipulated and consequently colony phenology was desynchronized with the local environment. Delaying colony phenology in respect to the local environment decreased the capability of colonies to exploit the abundant spring bloom. Early brood onset, on the other hand, increased the loads of the brood parasite Varroa destructor later in the season with negative impact on colony worker population size. This indicates a timing related trade-off and illustrates the importance of investigating effects of climate change on complex multi-trophic systems. It can be concluded that timing of brood onset in honey bees is an important fitness relevant step for colony phenology that is highly sensitive to climatic conditions in late winter. Further, phenology shifts and mismatches driven by climate change can have severe fitness consequences.
III. In chapter III, I assess the importance of the environmental factors ambient temperature and photoperiod as well as elapsed time on the timing of brood onset. Twenty-four hibernating honey bee colonies were placed into environmental chambers and allocated to different combinations of two temperature regimes and three different light regimes. Brood onset was identified non-invasively by tracking comb temperature within the winter cluster. The experiment revealed that ambient temperature plays a major role in the timing of brood onset, but the response of honey bee colonies to temperature increases is modified by photoperiod. Further, the data indicate the involvement of an internal clock. I conclude that the timing of brood onset is complex but probably highly susceptible to climate change and especially spells of warm weather in winter.
IV. In chapter IV, it was examined if honey bees are capable of interval time-place learning and if this ability improves foraging efficiency in a dynamic resource environment. In a field experiment with artificial feeders, foragers were able to learn time intervals and use this ability to anticipate time periods during which feeders were active. Further, interval time-place learning enabled foragers to increase nectar uptake rates. It was concluded that interval time-place learning can help honey bee foragers to adapt to the complex and variable temporal patterns of floral resource environments.
V. The study presented in chapter V identified the importance of the honey bee waggle dance communication for the spatiotemporal coordination of honey bee foraging activity in resource environments that can vary from day to day. Consequences of disrupting the instructional component of honey bee dance communication were investigated in eight temperate zone landscapes with different levels of spatiotemporal complexity. While nectar uptake of colonies was not affected, waggle dance communication significantly benefitted pollen harvest irrespective of landscape complexity. I suggest that this is explained by the fact that honey bees prefer to forage pollen in semi-natural habitats, which provide diverse resource species but are sparse and presumably hard to find in intensively managed agricultural landscapes. I conclude that waggle dance communication helps to ensure a sufficient and diverse pollen diet which is crucial for honey bee colony health.
VI. In my PhD-project, I could show that honey bee colonies are able to adapt their activities to a seasonally and daily changing environment, which affects resource uptake, colony development, colony health and ultimately colony fitness. Ongoing global change, however, puts timing in honey bee colonies at risk. Climate change has the potential to cause mismatches with the local resource environment. Intensivation of agricultural management with decreased resource diversity and short resource peaks in spring followed by distinctive gaps increases the probability of mismatches. Even the highly efficient foraging system of honey bees might not ensure a sufficiently diverse and healthy diet in such an environment. The global introduction of the parasitic mite V. destructor and the increased exposure to pesticides in intensively managed landscapes further degrades honey bee colony health. This might lead to reduced cognitive capabilities in workers and impact the communication and social organization in colonies, thereby undermining the ability of honey bee colonies to adapt to their environment.
Solitary bees in seasonal environments have to align their life-cycles with favorable environmental conditions and resources. Therefore, a proper timing of their seasonal activity is highly fitness relevant. Most species in temperate environments use temperature as a trigger for the timing of their seasonal activity. Hence, global warming can disrupt mutualistic interactions between solitary bees and plants if increasing temperatures differently change the timing of interaction partners. The objective of this dissertation was to investigate the mechanisms of timing in spring-emerging solitary bees as well as the resulting fitness consequences if temporal mismatches with their host plants should occur. In my experiments, I focused on spring-emerging solitary bees of the genus Osmia and thereby mainly on O. cornuta and O. bicornis (in one study which is presented in Chapter IV, I additionally investigated a third species: O. brevicornis).
Chapter II presents a study in which I investigated different triggers solitary bees are using to time their emergence in spring. In a climate chamber experiment I investigated the relationship between overwintering temperature, body size, body weight and emergence date. In addition, I developed a simple mechanistic model that allowed me to unite my different observations in a consistent framework. In combination with the empirical data, the model strongly suggests that solitary bees follow a strategic approach and emerge at a date that is most profitable for their individual fitness expectations. I have shown that this date is on the one hand temperature dependent as warmer overwintering temperatures increase the weight loss of bees during hibernation, which then advances their optimal emergence date to an earlier time point (due to an earlier benefit from the emergence event). On the other hand I have also shown that the optimal emergence date depends on the individual body size (or body weight) as bees adjust their emergence date accordingly. My data show that it is not enough to solely investigate temperature effects on the timing of bee emergence, but that we should also consider individual body conditions of solitary bees to understand the timing of bee emergence.
In Chapter III, I present a study in which I investigated how exactly temperature determines the emergence date of solitary bees. Therefore, I tested several variants degree-day models to relate temperature time series to emergence data. The basic functioning of such degree-day models is that bees are said to finally emerge when a critical amount of degree-days is accumulated. I showed that bees accumulate degree-days only above a critical temperature value (~4°C in O. cornuta and ~7°C in O. bicornis) and only after the exceedance of a critical calendar date (~10th of March in O. cornuta and ~28th of March in O. bicornis). Such a critical calendar date, before which degree-days are not accumulated irrespective of the actual temperature, is in general less commonly used and, so far, it has only been included twice in a phenology model predicting bee emergence. Furthermore, I used this model to retrospectively predict the emergence dates of bees by applying the model to long-term temperature data which have been recorded by the regional climate station in Würzburg. By doing so, the model estimated that over the last 63 years, bees emerged approximately 4 days earlier.
In Chapter IV, I present a study in which I investigated how temporal mismatches in bee-plant interactions affect the fitness of solitary bees. Therefore, I performed an experiment with large flight cages serving as mesocosms. Inside these mesocosms, I manipulated the supply of blossoms to synchronize or desynchronize bee-plant interactions. In sum, I showed that even short temporal mismatches of three and six days in bee-plant interactions (with solitary bee emergence before flower occurrence) can cause severe fitness losses in solitary bees. Nonetheless, I detected different strategies by solitary bees to counteract impacts on their fitness after temporal mismatches. However, since these strategies may result in secondary fitness costs by a changed sex ratio or increased parasitism, I concluded that compensation strategies do not fully mitigate fitness losses of bees after short temporal mismatches with their food plants. In the event of further climate warming, fitness losses after temporal mismatches may not only exacerbate bee declines but may also reduce pollination services for later-flowering species and affect populations of animal-pollinated plants.
In conclusion, I showed that spring-emerging solitary bees are susceptible to climate change as in response to warmer temperatures bees advance their phenology and show a decreased fitness state. As spring-emerging solitary bees not only consider overwintering temperature but also their individual body condition for adjusting emergence dates, this may explain differing responses to climate warming within and among bee populations which may also have consequences for bee-plant interactions and the persistence of bee populations under further climate warming. If in response to climate warming plants do not shift their phenologies according to the bees, bees may experience temporal mismatches with their host plants. As bees failed to show a single compensation strategy that was entirely successful in mitigating fitness consequences after temporal mismatches with their food plants, the resulting fitness consequences for spring-emerging solitary bees would be severe. Furthermore, I showed that spring-emerging solitary bees use a critical calendar date before which they generally do not commence the summation of degree-days irrespective of the actual temperature. I therefore suggest that further studies should also include the parameter of a critical calendar date into degree-day model predictions to increase the accuracy of model predictions for emergence dates in solitary bees. Although our retrospective prediction about the advance in bee emergence corresponds to the results of several studies on phenological trends of different plant species, we suggest that more research has to be done to assess the impacts of climate warming on the synchronization in bee-plant interactions more accurately.
Genome sequence analysis A combination of genome analysis application has been established here during this project. This offers an efficient platform to interactively compare similar genome regions and reveal loci differences. The genes and operons can be rapidly analyzed and local collinear blocks (LCBs) categorized according to their function. The features of interests are parsed, recognized, and clustered into reports. Phylogenetic relationships can be readily examined such as the evolution of critical factors or a certain highly-conserved region. The resulting platform-independent software packages (GENOVA and inGeno), have been proven to be efficient and easy to handle in a number of projects. The capabilities of the software allowed the investigation of virulence factors, e.g., rsbU, strains’ biological design, and in particular pathogenicity feature storage and management. We have successfully investigated the genomes of Staphylococcus aureus strains (COL, N315, 8325, RN1HG, Newman), Listeria spp. (welshimeri, innocua and monocytogenes), E.coli strains (O157:H7 and MG1655) and Vaccinia strains (WR, Copenhagen, Lister, LIVP, GLV-1h68 and parental strains). Metabolic network analysis Our YANAsquare package offers a workbench to rapidly establish the metabolic network of such as Staphylococcous aureus bacteria in genome-scale size as well as metabolic networks of interest such as the murine phagosome lipid signalling network. YANAsquare recruits reactions from online databases using an integrated KEGG browser. This reduces the efforts in building large metabolic networks. The involved calculation routines (METATOOL-derived wrapper or native Java implementation) readily obtain all possible flux modes (EM/EP) for metabolite fluxes within the network. Advanced layout algorithms visualize the topological structure of the network. In addition, the generated structure can be dynamically modified in the graphic interface. The generated network as well as the manipulated layout can be validated and stored (XML file: scheme of SBML level-2). This format can be further parsed and analyzed by other systems biology software, such as CellDesigner. Moreover, the integrated robustness-evaluation routine is able to examine the synthesis rates affected by each single mutation throughout the whole network. We have successfully applied the method to simulate single and multiple gene knockouts, and the affected fluxes are comprehensively revealed. Recently we applied the method to proteomic data and extra-cellular metabolite data of Staphylococci, the physiological changes regarding the flux distribution are studied. Calculations at different time points, including different conditions such as hypoxia or stress, show a good fit to experimental data. Moreover, using the proteomic data (enzyme amounts) calculated from 2D-Gel-EP experiments our study provides a way to compare the fluxome and the enzyme expression. Oncolytic vaccinia virus (VACV) We investigated the genetic differences between the de novo sequence of the recombinant oncolytic GLV-1h68 and other related VACVs, including function predictions for all found genome differences. Our phylogenetic analysis indicates that GLV-1h68 is closest to Lister strains but has lost several ORFs present in its parental LIVP strain, including genes encoding CrmE and a viral Golgi anti-apoptotic protein, v-GAAP. Functions of viral genes were either strain-specific, tissue-specific or host-specific comparing viral genes in the Lister, WR and COP strains. This helps to rationally design more optimized oncolytic virus strains to benefit cancer therapy in human patients. Identified differences from the comparison in open reading frames (ORFs) include genes for host-range selection, virulence and immune modulation proteins, e.g. ankyrin-like proteins, serine proteinase inhibitor SPI-2/CrmA, tumor necrosis factor (TNF) receptor homolog CrmC, semaphorin-like and interleukin-1 receptor homolog proteins. The contribution of foreign gene expression cassettes in the therapeutic and oncolytic virus GLV-1h68 was studied, including the F14.5L, J2R and A56R loci. The contribution of F14.5L inactivation to the reduced virulence is demonstrated by comparing the virulence data of GLV-1h68 with its F14.5L-null and revertant viruses. The comparison suggests that insertion of a foreign gene expression cassette in a nonessential locus in the viral genome is a practical way to attenuate VACVs, especially if the nonessential locus itself contains a virulence gene. This reduces the virulence of the virus without compromising too much the replication competency of the virus, the key to its oncolytic activity. The reduced pathogenicity of GLV-1h68 was confirmed by our experimental collaboration partners in male mice bearing C6 rat glioma and in immunocompetent mice bearing B16-F10 murine melanoma. In conclusion, bioinformatics and experimental data show that GLV-1h68 is a promising engineered VACV variant for anticancer therapy with tumor-specific replication, reduced pathogenicity and benign tissue tropism.
Current preclinical models used to evaluate novel therapies for improved healing include both in vitro and in vivo methods. However, ethical concerns related to the use of animals as well as the poor physiological translation between animal and human skin wound healing designate in vitro models as a highly relevant and promising platforms for healing investigation. While current in vitro 3D skin models recapitulate a mature tissue with healing properties, they still represent a simplification of the in vivo conditions, where for example the inflammatory response originating after wound formation involves the contribution of immune cells. Macrophages are among the main contributors to the inflammatory response and regulate its course thanks to their plasticity. Therefore, their implementation into in vitro skin could greatly increase the physiological relevance of the models. As no full-thickness immunocompetent skin model containing macrophages has been reported so far, the parameters necessary for a successful triple co-culture of fibroblasts, keratinocytes and macrophages were here investigated. At first, cell source and culture timed but also an implementation strategy for macrophages were deter-mined. The implementation of macrophages into the skin model focused on the minimization of the culture time to preserve immune cell viability and phenotype, as the environment has a major influence on cell polarization and cytokine production. To this end, incorporation of macrophages in 3D gels prior to the combination with skin models was selected to better mimic the in vivo environment. Em-bedded in collagen hydrogels, macrophages displayed a homogeneous cell distribution within the gel, preserving cell viability, their ability to respond to stimuli and their capability to migrate through the matrix, which are all needed during the involvement of macrophages in the inflammatory response. Once established how to introduce macrophages into skin models, different culture media were evaluated for their effects on primary fibroblasts, keratinocytes and macrophages, to identify a suitable medium composition for the culture of immunocompetent skin. The present work confirmed that each cell type requires a different supplement combination for maintaining functional features and showed for the first time that media that promote and maintain a mature skin structure have negative effects on primary macrophages. Skin differentiation media negatively affected macrophages in terms of viability, morphology, ability to respond to pro- and anti-inflammatory stimuli and to migrate through a collagen gel. The combination of wounded skin equivalents and macrophage-containing gels con-firmed that culture medium inhibits macrophage participation in the inflammatory response that oc-curs after wounding. The described macrophage inclusion method for immunocompetent skin creation is a promising approach for generating more relevant skin models. Further optimization of the co-cul-ture medium will potentially allow mimicking a physiological inflammatory response, enabling to eval-uate the effects novel drugs designed for improved healing on improved in vitro models.