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One of the features that defines humans as extraordinarily social beings is their striking susceptibility to the gaze of others. The research reported in this dissertation was undertaken to advance our understanding of the role of gaze cues in low-level attentional and higher-order cognitive processes. In particular, effects of gaze were examined with regard to three aspects of human cognition: (1) social attention, (2) social interaction and (3) social understanding. Chapter 1 consists of three manuscripts that investigate the boundary conditions of attention capture by direct gaze and how gaze direction is integrated with facial context information. Manuscript 1 and 2 suggest two necessary requirements for attention capture by direct gaze: a meaningful holistic facial context and sharp foveal vision, respectively. Manuscript 3 shows approach/avoidance-congruency effects between gaze direction and emotion expression on attention. Chapter 2 of this dissertation explores the role of gaze in more naturalistic social scenarios. Manuscript 4 demonstrates that gaze behavior during a conversation shapes our perception of another person. Manuscript 5 builds on these findings by showing that these perceptions define our willingness to act in a prosocial way towards our interaction partner. Finally, chapter 3 adopts a broader perspective on social cognition research with a special focus on methodological aspects. Manuscript 6 is a review highlighting the significance of methodological aspects in social cognition research and stressing the importance of sophisticated decisions on task and stimulus materials. Manuscript 7 introduces a new instrument for the assessment of social understanding in adolescents. Initial application in a young sample group indicates that an understanding of another person’s mental states is a capacity that is still developing throughout adolescence. Both manuscripts of this final chapter include eye tracking data that suggest a relationship between gaze behavior and social understanding, a finding that further emphasizes the complex and multifaceted nature of social cognition. I conclude from the findings of this dissertation that research can benefit from adopting a broad view in terms of methodological as well as temporal aspects in order to capture human social cognition in its entirety.
The right timing of phenological events is crucial for species fitness. Species should be highly synchronized with mutualists, but desynchronized with antagonists. With climate warming phenological events advance in many species. However, often species do not respond uniformly to warming temperatures. Species-specific responses to climate warming can lead to asynchrony or even temporal mismatch of interacting species. A temporal mismatch between mutualists, which benefit from each other, can have negative consequences for both interaction partners. For host-parasitoid interactions temporal asynchrony can benefit the host species, if it can temporally escape its parasitoid, with negative consequences for the parasitoid species, but benefit the parasitoid species if it increases synchrony with its host, which can negatively affect the host species. Knowledge about the drivers of phenology and the species-specific responses to these drivers are important to predict future effects of climate change on trophic interactions. In this dissertation I investigated how different drivers act on early flowering phenology and how climate warming affects the tritrophic relationship of two spring bees (Osmia cornuta & Osmia bicornis), an early spring plant (Pulsatilla vulgaris), which is one of the major food plants of the spring bees, and three main parasitoids of the spring bees (Cacoxenus indagator, Anthrax anthrax, Monodontomerus).
In Chapter II I present a study in which I investigated how different drivers and their change over the season affect the reproductive success of an early spring plant. For that I recorded on eight calcareous grasslands around Würzburg, Germany the intra-seasonal changes in pollinator availability, number of co-flowering plants and weather conditions and studied how they affect flower visitation rates, floral longevity and seed set of the early spring plant P. vulgaris. I show that bee abundances and the number of hours, which allowed pollinator foraging, were low at the beginning of the season, but increased over time. However, flower visitation rates and estimated total number of bee visits were higher on early flowers of P. vulgaris than later flowers. Flower visitation rates were also positively related to seed set. Over time and with increasing competition for pollinators by increasing numbers of co-flowering plants flower visitation rates decreased. My data shows that a major driver for early flowering dates seems to be low interspecific competition for pollinators, but not low pollinator abundances and unfavourable weather conditions.
Chapter III presents a study in which I investigated the effects of temperature on solitary bee emergence and on the flowering of their food plant and of co-flowering plants in the field. Therefore I placed bee cocoons of two spring bees (O. cornuta & O. bicornis) on eleven calcareous grasslands which differed in mean site temperature. On seven of these grasslands the early spring plant P. vulgaris occurred. I show that warmer temperatures advanced mean emergence in O. cornuta males. However, O. bicornis males and females of both species did not shift their emergence. Compared to the bees P. vulgaris advanced its flowering phenology more strongly with warmer temperatures. Co-flowering plants did not shift flowering onset. I suggest that with climate warming the first flowers of P. vulgaris face an increased risk of pollinator limitation whereas for bees a shift in floral resources may occur.
In Chapter IV I present a study in which I investigated the effects of climate warming on host-parasitoid relationships. I studied how temperature and photoperiod affect emergence phenology in two spring bees (O. cornuta & O. bicornis) and three of their main parasitoids (C. indagator, A. anthrax, Monodontomerus). In a climate chamber experiment with a crossed design I exposed cocoons within nest cavities and cocoons outside of nest cavities to two different temperature regimes (long-term mean of Würzburg, Germany and long-term mean of Würzburg + 4 °C) and three photoperiods (Würzburg vs. Snåsa, Norway vs. constant darkness) and recorded the time of bee and parasitoid emergence. I show that warmer temperatures advanced emergence in all studied species, but bees advanced less strongly than parasitoids. Consequently, the time period between female bee emergence and parasitoid emergence decreased in the warm temperature treatment compared to the cold one. Photoperiod influenced the time of emergence only in cocoons outside of nest cavities (except O. bicornis male emergence). The data also shows that the effect of photoperiod compared to the effect of temperature on emergence phenology was much weaker. I suggest that with climate warming the synchrony of emergence phenologies of bees and their parasitoids will amplify. Therefore, parasitism rates in solitary bees might increase which can negatively affect reproductive success and population size.
In this dissertation I show that for early flowering spring plants low interspecific competition for pollinators with co-flowering plants is a major driver of flowering phenology, whereas other drivers, like low pollinator abundances and unfavourable weather conditions are only of minor importance. With climate warming the strength of different drivers, which act on the timing of phenological events, can change, like temperature. I show that warmer temperatures advance early spring plant flowering more strongly than bee emergence and flowering phenology of later co-flowering plants. Furthermore, I show that warmer temperatures advance parasitoid emergence more strongly than bee emergence. Whereas temperature changes can lead to non-uniform temporal shifts, I demonstrate that geographic range shifts and with that altered photoperiods will not change emergence phenology in bees and their parasitoids. In the tritrophic system I investigated in this dissertation climate warming may negatively affect the reproductive success of the early spring plant and the spring bees but not of the parasitoids, which may even benefit from warming temperatures.
Historical maps are fascinating documents and a valuable source of information for scientists of various disciplines. Many of these maps are available as scanned bitmap images, but in order to make them searchable in useful ways, a structured representation of the contained information is desirable.
This book deals with the extraction of spatial information from historical maps. This cannot be expected to be solved fully automatically (since it involves difficult semantics), but is also too tedious to be done manually at scale.
The methodology used in this book combines the strengths of both computers and humans: it describes efficient algorithms to largely automate information extraction tasks and pairs these algorithms with smart user interactions to handle what is not understood by the algorithm. The effectiveness of this approach is shown for various kinds of spatial documents from the 16th to the early 20th century.
Hey1, Hey2 and HeyL are downstream effectors of the Notch signalling pathway. Hey genes play decisive roles during embryonic development for example in cardiovascular development. However, the precise transcriptional programmes and genes, which are affected by each single Hey gene, are still poorly understood. One drawback for the analysis of Hey1, Hey2 or HeyL single gene function is that these genes are co-expressed in many tissues and share a high degree of functional redundancy. Thus, it was necessary to establish a system, which is either devoid of Hey expression, or just comprises one single Hey gene family member. For this, Hey1(fl/fl)/Hey2(-/-)/HeyL(-/-)- as well as Hey-triple- knock out (KO)-ES cells (embryonic stem cells) were generated in this work, because ES cells and their differentiation as EBs (embryoid bodies) represent a valuable tool for the in vitro analysis of embryonic developmental processes. After the establishment of Hey1(fl/fl)/Hey2(-/-)/HeyL(-/-)- and Hey-triple- KO-ES cells, it could be seen by ALP staining and pluripotency marker expression that loss of Hey expression did not affect ES cell pluripotency features. Thus, these ES cells represent bona fide ES cells and could be further used for the differentiation as EBs. Here, differences in gene expression between Hey1(fl/fl)/Hey2(-/-)/HeyL(-/-)- and Hey-triple- KO-ES cells (after the loss of Hey1) could be observed in realtime-RT-PCR analysis for the endodermal marker AFP as well as for neural and myogenic markers in d10 EBs. However, the establishment of inducible Hey1, Hey2 or HeyL ES cell lines will be essential to confirm these findings and to search for novel Hey target genes. To get further insight into the mode of Hey action, the analysis of Hey interaction partners is necessary. One such binding partner, the Bre protein, has previously been found in a yeast-two-hybrid screen. Bre has been described to be a member of two distinct complexes (i.e. the nuclear BRCA1-A complex with a function in DNA damage response and the cytoplasmic BRISC complex), to directly interact with the TNF-receptor and Fas and to interfere with apoptotic signalling. The Hey-Bre interaction could be further corroborated in this work; yet, it was not possible to narrow down the interaction site of Bre with Hey1. It rather seems that non-overlapping parts of the Bre protein may bind to Hey. This interaction may be direct– pointing to more than one interaction site inside the Bre protein – or via a common binding partner such as the endogenous Bre protein itself. Besides the interaction studies, functional assays were performed for a more detailed characterisation of Hey1 and Bre interaction. Here, it could be shown that Hey1 over-expression did not have any influence on Bre sub-cellular localisation. Interestingly, it could be demonstrated that Bre positively interfered with Hey1 repressive function in luciferase assays at three of four promoters analysed. Moreover, interaction with Bre seems to lead to a stabilisation of Hey1. As Bre has been described to modulate the E3-ligase activity intrinsic to the BRCC complex it was analysed whether Bre over-expression results in an ubiquitination of Hey1. Yet, this could not be observed in the present work. Furthermore, an interaction of Bre with ubiquitinated proteins could not be demonstrated in an ubiquitin binding assay. To obtain a better insight into Bre function, Bre LacZ gene trap-ES cells and animals were generated. However, realtime-RT-analyses revealed that these cells and mice did not show a loss of Bre expression on mRNA level indicating that insertion mutagenesis did not occur as expected. However, embryos derived from these mice could nevertheless be used for the detection of tissues with Bre expression by β-galactosidase staining. Bre deficiency on mRNA levels was only achieved after the deletion of the floxed exon 3 resulting in the generation of Bre del-mice. Bre del-mice were fertile and without any obvious phenotype and they were used for the generation of Bre del- and wt-MEFs (murine embryonic fibroblasts). Characterisation of these cells showed that proliferation was not affected after loss of Bre (neither under normal nor under stress conditions). However, loss of Bre notably resulted in a reduction in the BRCA1 DNA damage response, in a slightly increased sensitivity towards apoptosis induction by FasL treatment and in an increase in the K63-poly-ubiquitin content in Bre del-cytoplasmic fractions, probably linked to a change in the BRISC de-ubiquitinase activity. Even though these results have the same tendencies as observed in former studies, the effects in the present work are less striking. Further studies as well as intercrossing of Bre del- to Hey KO-animals will be necessary to further understand the functional relevance of Hey and Bre interaction.
The voltage –gated calcium channel, Cav1.2, and the plasma membrane calcium ATPase, PMCA4b, play important roles in excitable and non-excitable cells. The central function of Cav1.2 is to regulate the calcium entry into cells upon depolarization, while PMCA4b is responsible for calcium extrusion and has an influence on cellular calcium homeostasis. Both proteins control fundamental functions in the heart and brain, but the specific functions and the precise mechanisms are still investigated. In order to identify new interaction partners that may regulate the activities of the Cav1.2 and the PMCA4b, we used three independent assays and co-localization studies. The assays, which were used are PDZ domain arrays (testing 124 different PDZ domains), GST pull-downs, and conventional immunoprecipitation assays. In the PDZ arrays, strongest interactions with Cav1.2 and PMCA4b were found for the PDZ domains of MAST-205, MAGI-1, MAGI-2, MAGI-3, and ZO-1. Additionally, we established interactions between Cav1.2 and the PDZ domains of NHERF1/2, Mint-2, and CASK. PMCA4b was observed to interact with Mint-2, and its interactions with Chapsyn-110 and CASK were confirmed. Furthermore, we validated interaction of Cav1.2 and PMCA4b with NHERF1, CASK, MAST-205 and MAGI-3 via immunoprecipitation. We also demonstrated direct interaction of the C-terminus of Cav1.2 and the PDZ domain of nNOS. We assumed that nNOS overexpression would reduce Ca2+ influx through Cav1.2. To address this question, we measured Ca2+ currents in stably transfected HEK 293 cells expressing the Cav1.2 (α1b and β2a subunit of the smooth muscle L-type calcium channel) and nNOS. It has been shown that NO modulates ion channel activity by nitrosylation of sulfhydryl groups on the channel protein. So we propose that the interaction between the C-terminus of Cav1.2 and the PDZ domain of nNOS inhibits the currents by an S-nitrosylation of the channel protein. All these interactions connect both proteins to signaling networks involved in signal transmission, cell adhesion, and apoptosis, which may help provide new hints about the physiological functions of Cav1.2 and PMCA4b in intra- and intercellular signaling.
The human genome has been sequenced since 2001. Most proteins have been characterized now and with everyday more bioinformatical predictions are experimentally verified. A project is underway to sequence thousand humans. But still, little is known about the evolution of the human proteome itself. Domains and their combinations are analysed in detail but not all of the human domain architectures at once. Like no one before, we have large datasets of high quality human protein-protein-protein interactions and complexes available which allow us to characterize the human proteome with unmatched accuracy. Advanced clustering algorithms and computing power enable us to gain new information about protein interactions without touching a pipette. In this work, the human proteome is analysed at three different levels. First, the origin of the different types of proteins was analysed based on their domain architectures. The second part focuses on the protein-protein interactions. Finally, in the third part, proteins are clustered based on their interactions and non-interactions. Most proteins are built of domains and their function is the sum of their domain functions. Proteins that share the same domain architecture, the linear order of domains are homologues and should have originated from one common ancestral protein. This ancestor was calculated for roughly 750 000 proteins from 1313 species. The relations between the species are based on the NCBI Taxonomy and additional molecular data. The resulting data set of 5817 domains and 32868 domain architectures was used to estimate the origin of these proteins based on their architectures. It could be observed, that new domain architectures are only in a small fraction composed of domains arisen at the same taxon. It was also found that domain architectures increase in length and complexity in the course of evolution and that different organisms like worm, and human share nearly the same amount of proteins but differ in their number of distinct domain architectures. The second part of this thesis focuses on protein-protein interactions. This chapter addresses the question how new evolved proteins form connections within the existing network. The network built of protein-protein interactions was shown to be scale free. Scale free networks, like the internet, consist of few hubs with many connections and many nodes with few connections. They are thought to arise by two mechanisms. First, newly emerged proteins interact with proteins of the network. Second, according to the theory of preferential attachment, new proteins have a higher chance to interact with already interaction rich proteins. The Human Protein Reference Database provides an on in-vivo interaction data based network for human. With the data obtained from chapter one, proteins were marked with their taxon of origin based on their domain architectures. The interaction ratio of proteins of the same taxa compared to all interactions was calculated and higher values than the random model showed for nearly every taxa. On the other hand, there was no enrichment of proteins originated at the taxon of cellular organisms for the node degree found. The node degree is the number of links for this node. According to the theorie of preferential attachment the oldest nodes should have the most interactions and newly arisen proteins should be preferably attached to them not together. Both could not be shown in this analysis, preferential attachment could therefore not be the only explanation for the forming of the human protein interaction network. Finally in part three, proteins and all their interactions in the network are analysed. Protein networks can be divided into smaller highly interacting parts carrying out specific functions. This can be done with high statistical significance but still, it does not reflect the biological significance. Proteins were clustered based on their interactions and non-interactions with other proteins. A version with eleven clusters showed high gene ontology based ratings and clusters related to specific cell parts. One cluster consists of proteins having very few interactions together but many to proteins of two other clusters. This first cluster is significantly enriched with transport proteins and the two others are enriched with extracellular and cytoplasm/membrane located proteins. The algorithm seems therefore well suited to reflect the biological importance behind functional modules. Although we are still far from understanding the origin of species, this work has significantly contributed to a better understanding of evolution at the protein level and has, in particular, shown the relation of protein domains and protein architectures and their preferences for binding partners within interaction networks.