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Chemical neurotransmission is a complex process of central importance for nervous system function. It is thought to be mediated by the orchestration of hundreds of proteins for its successful execution. Several synaptic proteins have been shown to be relevant for neurotransmission and many of them are highly conserved during evolution- suggesting a universal mechanism for neurotransmission. This process has checkpoints at various places like, neurotransmitter uptake into the vesicles, relocation of the vesicles to the vicinity of calcium channels in order to facilitate Ca2+ induced release thereby modulating the fusion probability, formation of a fusion pore to release the neurotransmitter and finally reuptake of the vesicles by endocytosis. Each of these checkpoints has now become a special area of study and maintains its own importance for the understanding of the overall process. Ca2+ induced release occurs at specialized membrane structures at the synapse known as the active zones. These are highly ordered electron dense grids and are composed of several proteins which assist the synaptic vesicles in relocating in the vicinity of Ca2+ channels thereby increasing their fusion probability and then bringing about the vesicular fusion itself. All the protein modules needed for these processes are thought to be held in tight arrays at the active zones, and the functions of a few have been characterized so far at the vertebrate active zones. Our group is primarily interested in characterizing the molecular architecture of the Drosophila synapse. Due to its powerful genetics and well-established behavioural assays Drosophila is an excellent system to investigate neuronal functioning. Monoclonal antibodies (MABs) from a hybridoma library against Drosophila brain are routinely used to detect novel proteins in the brain in a reverse genetic approach. Upon identification of the protein its encoding genetic locus is characterized and a detailed investigation of its function is initiated. This approach has been particularly useful to detect synaptic proteins, which may go undetected in a forward genetic approach due to lack of an observable phenotype. Proteins like CSP, Synapsin and Sap47 have been identified and characterized using this approach so far. MAB nc82 has been one of the shortlisted antibodies from the same library and is widely used as a general neuropil marker due to the relative transparency of immunohistochemical whole mount staining obtained with this antibody. A careful observation of double stainings at the larval neuromuscular junctions with MAB nc82 and other pre and post-synaptic markers strongly suggested an active zone localization of the nc82 antigen. Synaptic architecture is well characterized in Drosophila at the ultrastructural level. However, molecular details for many synaptic components and especially for the active zone are almost entirely unknown. A possible localization at the active zone for the nc82 antigen served as the motivation to initiate its biochemical characterization and the identification of the encoding gene. In the present thesis it is shown by 2-D gel analysis and mass spectrometry that the nc82 antigen is a novel active zone protein encoded by a complex genetic locus on chromosome 2R. By RT-PCR exons from three open reading frames previously annotated as separate genes are demonstrated to give rise to a transcript of at least 5.5 kb. Northern blots produce a prominent signal of 11 kb and a weak signal of 2 kb. The protein encoded by the 5.5 kb transcript is highly conserved amongst insects and has at its N-terminus significant homology to the previously described vertebrate active zone protein ELKS/ERC/CAST. Bioinformatic analysis predicts coiled-coil domains spread all over the sequence and strongly suggest a function involved in organizing or maintaining the structure of the active zone. The large C-terminal region is highly conserved amongst the insects but has no clear homologues in veretebrates. For a functional analysis of this protein transgenic flies expressing RNAi constructs under the control of the Gal4 regulated enhancer UAS were kindly provided by the collaborating group of S.Sigrist (Gِttingen). A strong pan-neuronal knockdown of the nc82 antigen by transgenic RNAi expression leads to embryonic lethality. A relatively weaker RNAi expression results in behavioural deficits in adult flies including unstable flight and impaired walking behavior. Due to this peculiar phenotype as observed in the first knockdown studies the gene was named “bruchpilot” (brp) encoding the protein “Bruchpilot (BRP)” (German for crash pilot). A pan-neuronal as well as retina specific downregulation of this protein results in loss of ON and OFF transients in ERG recordings indicating dysfunctional synapses. Retina specific downregulation also shows severely impaired optomotor behaviour. Finally, at an ultrastructural level BRP downregulation seems to impair the formation of the characteristic T-shaped synaptic ribbons at the active zones without significantly altering the overall synaptic architecture (in collaboration with E.Asan). Vertebrate active zone protein Bassoon is known to be involved in attaching the synaptic ribbons to the active zones as an adapter between active zone proteins RIBEYE and ERC/CAST. A mutation in Bassoon results in a floating synaptic ribbon phenotype. No protein homologous to Bassoon has been observed in Drosophila. BRP downregulation also results in absence of attached synaptic ribbons at the active zones. This invites the speculation of an adapter like function for BRP in Drosophila. However, while Bassoon mutant mice are viable, BRP deficit in addition to the structural phenotype also results in severe behavioural and physiological anomalies and even stronger downregulation causes embryonic lethality. This therefore suggests an additional and even more important role for BRP in development and normal functioning of synapses in Drosophila and also in other insects. However, how BRP regulates synaptic transmission and which other proteins are involved in this BRP dependant pathway remains to be investigated. Such studies certainly will attract prominent attention in the future.
Summary
Bees, like many other organisms, evolved an endogenous circadian clock, which enables them to foresee daily environmental changes and exactly time foraging flights to periods of floral resource availability. The social lifestyle of a honey bee colony has been shown to influence circadian behavior in nurse bees, which do not exhibit rhythmic behavior when they are nursing. On the other hand, forager bees display strong circadian rhythms. Solitary bees, like the mason bee, do not nurse their offspring and do not live in hive communities, but face the same daily environmental changes as honey bees. Besides their lifestyle mason and honey bees differ in their development and life history, because mason bees overwinter after eclosion as adults in their cocoons until they emerge in spring. Honey bees do not undergo diapause and have a relatively short development of a few weeks until they emerge. In my thesis, I present a comparison of the circadian clock of social honey bees (Apis mellifera) and solitary mason bees (Osmia bicornis and Osmia cornuta) on the neuroanatomical level and behavioral output level.
I firstly characterized in detail the localization of the circadian clock in the bee brain via the expression pattern of two clock components, namely the clock protein PERIOD (PER) and the neuropeptide Pigment Dispersing Factor (PDF), in the brain of honey bee and mason bee. PER is localized in lateral neuron clusters (which we called lateral neurons 1 and 2: LN1 and LN2) and dorsal neuron clusters (we called dorsal lateral neurons and dorsal neurons: DLN, DN), many glia cells and photoreceptor cells. This expression pattern is similar to the one in other insect species and indicates a common ground plan of clock cells among insects. In the LN2 neuron cluster with cell bodies located in the lateral brain, PER is co-expressed with PDF. These cells build a complex arborization network throughout the brain and provide the perfect structure to convey time information to brain centers, where complex behavior, e.g. sun-compass orientation and time memory, is controlled. The PDF arborizations centralize in a dense network (we named it anterio-lobular PDF hub: ALO) which is located in front of the lobula. In other insects, this fiber center is associated with the medulla (accessory medulla: AME). Few PDF cells build the ALO already in very early larval development and the cell number and complexity of the network grows throughout honey bee development. Thereby, dorsal regions are innervated first by PDF fibers and, in late larval development, the fibers grow laterally to the optic lobe and central brain. The overall expression pattern of PER and PDF are similar in adult social and solitary bees, but I found a few differences in the PDF network density in the posterior protocerebrum and the lamina, which may be associated with evolution of sociality in bees.
Secondly, I monitored activity rhythms, for which I developed and established a device to monitor locomotor activity rhythms of individual honey bees with contact to a mini colony in the laboratory. This revealed new aspects of social synchronization and survival of young bees with indirect social contact to the mini colony (no trophalaxis was possible). For mason bees, I established a method to monitor emergence and locomotor activity rhythms and I could show that circadian emergence rhythms are entrainable by daily temperature cycles. Furthermore, I present the first locomotor activity rhythms of solitary bees, which show strong circadian rhythms in their behavior right after emergence. Honey bees needed several days to develop circadian locomotor rhythms in my experiments. I hypothesized that honey bees do not emerge with a fully matured circadian system in the hive, while solitary bees, without the protection of a colony, would need a fully matured circadian clock right away after emergence. Several indices in published work and preliminary studies support my hypothesis and future studies on PDF expression in different developmental stages in solitary bees may provide hard evidence.
The Venus flytrap, \textit{Dionaea muscipula}, with its carnivorous life-style and its highly
specialized snap-traps has fascinated biologist since the days of Charles Darwin. The
goal of the \textit{D. muscipula} genome project is to gain comprehensive insights into the
genomic landscape of this remarkable plant.
The genome of the diploid Venus flytrap with an estimated size between 2.6 Gbp to
3.0 Gbp is comparatively large and comprises more than 70 % of repetitive regions.
Sequencing and assembly of genomes of this scale are even with state-of-the-art
technology and software challenging. Initial sequencing and assembly of the genome
was performed by the BGI (Beijing Genomics Institute) in 2011 resulting in a 3.7 Gbp
draft assembly. I started my work with thorough assessment of the delivered assembly
and data. My analysis showed that the BGI assembly is highly fragmented and
at the same time artificially inflated due to overassembly of repetitive sequences.
Furthermore, it only comprises about on third of the expected genes in full-length,
rendering it inadequate for downstream analysis.
In the following I sought to optimize the sequencing and assembly strategy to obtain
an assembly of higher completeness and contiguity by improving data quality and
assembly procedure and by developing tailored bioinformatics tools. Issues with
technical biases and high levels of heterogeneity in the original data set were solved
by sequencing additional short read libraries from high quality non-polymorphic DNA
samples. To address contiguity and heterozygosity I examined numerous alternative
assembly software packages and strategies and eventually identified ALLPATHS-LG
as the most suited program for assembling the data at hand. Moreover, by utilizing
digital normalization to reduce repetitive reads, I was able to substantially reduce
computational demands while at the same time significantly increasing contiguity of
the assembly.
To improve repeat resolution and scaffolding, I started to explore the novel PacBio
long read sequencing technology. Raw PacBio reads exhibit high error rates of 15 %
impeding their use for assembly. To overcome this issue, I developed the PacBio
hybrid correction pipeline proovread (Hackl et al., 2014). proovread uses high
coverage Illumina read data in an iterative mapping-based consensus procedure to
identify and remove errors present in raw PacBio reads. In terms of sensitivity and
accuracy, proovread outperforms existing software. In contrast to other correction
programs, which are incapable of handling data sets of the size of D. muscipula
project, proovread’s flexible design allows for the efficient distribution of work load on high-performance computing clusters, thus enabling the correction of the Venus
flytrap PacBio data set.
Next to the assembly process itself, also the assessment of the large de novo draft
assemblies, particularly with respect to coverage by available sequencing data, is
difficult. While typical evaluation procedures rely on computationally extensive
mapping approaches, I developed and implemented a set of tools that utilize k-mer
coverage and derived values to efficiently compute coverage landscapes of large-scale
assemblies and in addition allow for automated visualization of the of the obtained
information in comprehensive plots.
Using the developed tools to analyze preliminary assemblies and by combining my
findings regarding optimizations of the assembly process, I was ultimately able to
generate a high quality draft assembly for D. muscipula. I further refined the assembly
by removal of redundant contigs resulting from separate assembly of heterozygous
regions and additional scaffolding and gapclosing using corrected PacBio data. The
final draft assembly comprises 86 × 10 3 scaffolds and has a total size of 1.45 Gbp.
The difference to the estimated genomes size is well explained by collapsed repeats.
At the same time, the assembly exhibits high fractions full-length gene models,
corroborating the interpretation that the obtained draft assembly provides a complete
and comprehensive reference for further exploration of the fascinating biology of the
Venus flytrap.
Somites are repeated epithelial segments that are generated in a rhythmic manner from the presomitic mesoderm (PSM) in the embryonic tailbud. Later, they differentiate into skeletal muscle, cartilage and dermis. Somitogenesis is regulated by a complex interplay of different pathways. Notch/Delta signaling is one of the pathways well characterized in zebrafish through mutants affected in its different components. Previous work in mouse, chicken and zebrafish has shown that also additional components are required during somitogenesis, most importantly through an FGF and Retinoic acid (RA) gradient, as well as Wnt signaling. However, no zebrafish mutants with defects in these pathways showing specific somite malformations are described. This was explained by functional redundancies among related genes that have resulted from a whole genome duplication which occurred in a teleost fish ancestor 350 million years ago. As distinct duplicates exist in different teleost species, a large scale mutagenesis screen in the medaka (Oryzias latipes) has been performed successfully in Kyoto, Japan. I analyzed nine of the isolated medaka mutants that show variable aspects of somitic phenotypes. This includes a complete or partial loss of somite boundaries (e.g. bms and sne), somites with irregular sizes and shapes (e.g. krz and fsl) or partially fused and enlarged somites (e.g. dpk). Although some of these medaka mutants share characteristics with previously described zebrafish somite mutants, most of the mutants represent unique phenotypes, not obtained in the zebrafish screens. In-situ hybridization analyses with marker genes implicated in the segmentation clock (e.g. her7), establishment of anterior-posterior (A-P) polarity (e.g. mesp) and differentiation of somites (e.g. myf5, lfng) revealed that the medaka mutants can be separated into two classes. Class I shows defects in tailbud formation and PSM prepatterning, and lateron somite boundary formation was impaired in these mutants. A unique member of this class with a novel phenotype is the doppelkorn (dpk) mutant that has single fused or enlarged somites. This phenotype has not been reported till now in zebrafish somite mutants. In-situ analyses on dpk showed that stabilization of the cyclically expressed somitogenesis clock genes must be affected in this mutant. This is accompanied by a disrupted regulation of A-P polarity genes like mesp. This suggests that dpk is a mutant deficient in the wave front, which is necessary for the down-regulation of oscillating genes in the anterior PSM. Furthermore, as the initiation of oscillation of all three cyclic her genes was unaffected in dpk embryos, I could exclude that this mutant in affected in the Notch/Delta pathway. Another mutant that belongs to this class is the samidare (sam) mutant. Morphologically, sam mutants are similar to zebrafish after eight (aei). In both cases, the first 7-9 somites are formed properly, but after this somite formation ceases. Different to the situation in aei, sam mutant embryos presented an additional defect in the mid-hindbrain boundary (MHB) region. Similar MHB defects were described in the zebrafish fgf8 mutant acerebellar (ace). In ace zebrafish mutant, somites were only slightly defective, although FGF signaling has been shown to be important for somite formation in chicken, mouse and zebrafish. This was explained by functional redundancy between fgf8 and fgf24 ligands in the tailbud of zebrafish. Thus, it is interesting to suggest that the sam mutant, based on the parallel defects in somites and MHB, is a potential member of the FGF signaling pathway muatnts. It was shown that FGF plays a crucial role during MHB formation in medaka. In addition, I showed that fgf8 acts non-redundantly during tailbud formation and somitogenesis in medaka. Furthermore, I showed that FGF signaling regulates somite size also in medaka and that fgfr1 is the only FGF receptor expressed in the tailbud and somites. In class II medaka somite mutants, PSM prepatterning appears normal, whereas A-P polarity, boundary formation, epithelialization or the later differentiation of somites appears to be affected. Such mutants have not been isolated so far in zebrafish, mice or chicken. Therefore, medaka class II somite mutants seem to be a novel group of mutants that opens new perspectives to analyze A-P polarity regulation, determination and boundary formation in the presence of a normally functioning clock in the PSM. Identifying the encoding genes for all analyzed medaka somite mutants will contribute to the understanding of the molecular interactions of different signaling pathways involved during somitogenesis, and is expected to result in the identification of new components.
In contrast to c-Myc, a deregulated expression of the MYCN gene is restricted to human neuroendocrine tumours. In most cases, the excessive activity of N-Myc results from a MYCN amplification. In neuroblastoma, amplification of MYCN is a predictor of poor prognosis and resistance to therapy. The inability to target the N-Myc protein directly necessitates the search for alternative targets. This project aimed at identifying genes specifically required for growth and survival of cells that express high levels of N-Myc using high-throughput shRNA screening combined with next generation sequencing. The identification and analysis of these genes will shed light on functional interaction partners of N-Myc.
We screened a shRNA library containing 18,327 shRNAs and identified 148 shRNAs, which were selectively depleted in the presence of active N-Myc. In addition, shRNAs targeting genes that are involved in p53 and ARF turnover and apoptosis were depleted in the cell population during the screen. These processes are known to affect N-Myc-mediated apoptosis. Consequently, these results biologically validated the screen. The 148 shRNAs that showed a significant synthetic lethal interaction with high levels of N-Myc expression were further analysed using the bioinformatics program DAVID. We found an enrichment of shRNAs that target genes involved in specific biological processes. For example, we validated synthetic lethal interactions for genes such as, THOC1, NUP153 and LARP7, which play an important role in the process of RNA polymerase II-mediated transcription elongation. We also validated genes that are involved in the neddylation pathway.
In the screen we identified Cullin 3, which is a component of the BTB-CUL3-Rbx1 ubiquitin ligase that is involved in the turnover of Cyclin E. Depletion of cullin 3 and activation of N-Myc was found to synergistically increase Cyclin E expression to supraphysiological levels, inducing S-phase arrest and a strong DNA damage response.
Together with results from a proteomics analysis of N-Myc associated proteins, our results lead us to the following hypothesis: In a neuroblastoma cell, the high levels of N-Myc result in a conflict between RNA polymerase II and the replication machinery during S-phase. The newly identified interaction partners of N- Myc are required to solve this conflict. Consequently, loss of the interaction leads to a massive DNA damage and the induction of apoptosis. In addition, inhibition or depletion of the essential components of the neddylation pathway also results in an unresolvable problem during S-phase.
In this work models for molecular networks consisting of ordinary differential equations are extended by terms that include the interaction of the corresponding molecular network with the environment that the molecular network is embedded in. These terms model the effects of the external stimuli on the molecular network. The usability of this extension is demonstrated with a model of a circadian clock that is extended with certain terms and reproduces data from several experiments at the same time.
Once the model including external stimuli is set up, a framework is developed in order to calculate external stimuli that have a predefined desired effect on the molecular network. For this purpose the task of finding appropriate external stimuli is formulated as a mathematical optimal control problem for which in order to solve it a lot of mathematical methods are available. Several methods are discussed and worked out in order to calculate a solution for the corresponding optimal control problem. The application of the framework to find pharmacological intervention points or effective drug combinations is pointed out and discussed. Furthermore the framework is related to existing network analysis tools and their combination for network analysis in order to find dedicated external stimuli is discussed.
The total framework is verified with biological examples by comparing the calculated results with data from literature. For this purpose platelet aggregation is investigated based on a corresponding gene regulatory network and associated receptors are detected. Furthermore a transition from one to another type of T-helper cell is analyzed in a tumor setting where missing agents are calculated to induce the corresponding switch in vitro. Next a gene regulatory network of a myocardiocyte is investigated where it is shown how the presented framework can be used to compare different treatment strategies with respect to their beneficial effects and side effects quantitatively. Moreover a constitutively activated signaling pathway, which thus causes maleficent effects, is modeled and intervention points with corresponding treatment strategies are determined that steer the gene regulatory network from a pathological expression pattern to physiological one again.
A novel USP11-TCEAL1-mediated mechanism protects transcriptional elongation by RNA Polymerase II
(2024)
Deregulated expression of MYC oncoproteins is a driving event in many human cancers. Therefore, understanding and targeting MYC protein-driven mechanisms in tumor biology remain a major challenge.
Oncogenic transcription in MYCN-amplified neuroblastoma leads to the formation of the MYCN-BRCA1-USP11 complex that terminates transcription by evicting stalling RNAPII from chromatin. This reduces cellular stress and allows reinitiation of new rounds of transcription. Basically, tumors with amplified MYC genes have a high demand on well orchestration of transcriptional processes-dependent and independent from MYC proteins functions in gene regulation. To date, the cooperation between promoter-proximal termination and transcriptional elongation in cancer cells remains still incomplete in its understanding.
In this study the putative role of the dubiquitinase Ubiquitin Specific Protease 11 (USP11) in transcription regulation was further investigated. First, several USP11 interaction partners involved in transcriptional regulation in neuroblastoma cancer cells were identified. In particular, the transcription elongation factor A like 1 (TCEAL1) protein, which assists USP11 to engage protein-protein interactions in a MYCN-dependent manner, was characterized. The data clearly show that TCEAL1 acts as a pro-transcriptional factor for RNA polymerase II (RNAPII)-medi- ated transcription. In detail, TCEAL1 controls the transcription factor S-II (TFIIS), a factor that assists RNAPII to escape from paused sites. The findings claim that TCEAL1 outcompetes the transcription elongation factor TFIIS in a non-catalytic manner on chromatin of highly expressed genes. This is reasoned by the need regulating TFIIS function in transcription. TCEAL1 equili- brates excessive backtracking and premature termination of transcription caused by TFIIS.
Collectively, the work shed light on the stoichiometric control of TFIIS demand in transcriptional regulation via the USP11-TCEAL1-USP7 complex. This complex protects RNAPII from TFIIS-mediated termination helping to regulate productive transcription of highly active genes in neuroblastoma.
The mode of action of phloretin and its analogs on the permeability of natural membranes for neutral and charged molecules, such as urea, glucose and chloride has been characterized 25 years ago. In contrast to signal molecules with primary effects on transport systems of natural membranes, phloretin also affects model membranes, i.e., artificial membranes, which do not contain proteins. Since the dipole potential reducing effect of phloretin on mono- and bilayers has been found, it became clear that its primary effect must be a biophysical one: phloretin adsorbs to lipid layers and changes biophysical parameters of these layers. The aim of this work was the characterization of the interaction between the surface-active molecule phloretin and artificial lipid layers. We were able to describe structural and functional parameters of the model systems mono- and bilayer as functions of one or few variables. One of these parameters, the dipole potential, measured as a function of the aqueous phloretin concentration, allowed a critical examination of the Langmuir adsorption model that has been postulated for the interaction between phloretin and lipid layers. Surface pressure versus area per lipid molecule isotherms and surface (dipole) potential change versus area per lipid molecule isotherms, measured at lipid monolayers, allowed a structural description of the phloretin-lipid interaction: phloretin integrates into monolayers dependent on the surface pressure and the phase state of the lipid. Calorimetric measurements confirmed the integration of phloretin into membranes because of the strong decrease of the phase transition temperature, but they also showed that the cooperativity of phase transition is hardly affected, even at very high amounts of phloretin in the membrane. Obviously the interaction between phloretin and lipids is restricted to the head groups, an integration into the hydrocarbon layer is unlikely. 2H NMR measurements with spherical unilamellar vesicles of headgroup-deuterated lipid showed changed quadrupolar splittings indicating the interaction between phloretin and headgroups of the lipids.
Since its first experimental implementation in 2005, single-molecule localization microscopy (SMLM) emerged as a versatile and powerful imaging tool for biological structures with nanometer resolution. By now, SMLM has compiled an extensive track-record of novel insights in sub- and inter- cellular organization.\\
Moreover, since all SMLM techniques rely on the analysis of emission patterns from isolated fluorophores, they inherently allocate molecular information $per$ $definitionem$.\\
Consequently, SMLM transitioned from its origin as pure high-resolution imaging instrument towards quantitative microscopy, where the key information medium is no longer the highly resolved image itself, but the raw localization data set.\\
The work presented in this thesis is part of the ongoing effort to translate those $per$ $se$ molecular information gained by SMLM imaging to insights into the structural organization of the targeted protein or even beyond. Although largely consistent in their objectives, the general distinction between global or segmentation clustering approaches on one side and particle averaging or meta-analyses techniques on the other is usually made.\\
During the course of my thesis, I designed, implemented and employed numerous quantitative approaches with varying degrees of complexity and fields of application.\\ \\
In my first major project, I analyzed the localization distribution of the integral protein gp210 of the nuclear pore complex (NPC) with an iterative \textit{k}-means algorithm. Relating the distinct localization statistics of separated gp210 domains to isolated fluorescent signals led, among others, to the conclusion that the anchoring ring of the NPC consists of 8 homo-dimers of gp210.\\
This is of particular significance, both because it answered a decades long standing question about the nature of the gp210 ring and it showcased the possibility to gain structural information well beyond the resolution capabilities of SMLM by crafty quantification approaches.\\ \\
The second major project reported comprises an extensive study of the synaptonemal complex (SNC) and linked cohesin complexes. Here, I employed a multi-level meta-analysis of the localization sets of various SNC proteins to facilitate the compilation of a novel model of the molecular organization of the major SNC components with so far unmatched extend and detail with isotropic three-dimensional resolution.\\
In a second venture, the two murine cohesin components SMC3 and STAG3 connected to the SNC were analyzed. Applying an adapted algorithm, considering the disperse nature of cohesins, led to the realization that there is an apparent polarization of those cohesin complexes in the SNC, as well as a possible sub-structure of STAG3 beyond the resolution capabilities of SMLM.\\ \\
Other minor projects connected to localization quantification included the study of plasma membrane glycans regarding their overall localization distribution and particular homogeneity as well as the investigation of two flotillin proteins in the membrane of bacteria, forming clusters of distinct shapes and sizes.\\ \\
Finally, a novel approach to three-dimensional SMLM is presented, employing the precise quantification of single molecule emitter intensities. This method, named TRABI, relies on the principles of aperture photometry which were improved for SMLM.\\
With TRABI it was shown, that widely used Gaussian fitting based localization software underestimates photon counts significantly. This mismatch was utilized as a $z$-dependent parameter, enabling the conversion of 2D SMLM data to a virtual 3D space. Furthermore it was demonstrated, that TRABI can be combined beneficially with a multi-plane detection scheme, resulting in superior performance regarding axial localization precision and resolution.\\
Additionally, TRABI has been subsequently employed to photometrically characterize a novel dye for SMLM, revealing superior photo-physical properties at the single-molecule level.\\
Following the conclusion of this thesis, the TRABI method and its applications remains subject of diverse ongoing research.
Mammalian embryonic development is subject to complex biological relationships that need to be understood. However, before the whole structure of development can be put together, the individual building blocks must first be understood in more detail. One of these building blocks is the second cell fate decision and describes the differentiation of cells of the inner cell mass of the embryo into epiblast and primitive endoderm cells. These cells then spatially segregate and form the subsequent bases for the embryo and yolk sac, respectively. In organoids of the inner cell mass, these two types of progenitor cells are also observed to form, and to some extent to spatially separate. This work has been devoted to these phenomena over the past three years. Plenty of studies already provide some insights into the basic mechanics of this cell differentiation, such that the first signs of epiblast and primitive endoderm differentiation, are the expression levels of transcription factors NANOG and GATA6. Here, cells with low expression of GATA6 and high expression of NANOG adopt the epiblast fate. If the expressions are reversed, a primitive endoderm cell is formed. Regarding the spatial segregation of the two cell types, it is not yet clear what mechanism leads to this. A common hypothesis suggests the differential adhesion of cell as the cause for the spatial rearrangement of cells. In this thesis however, the possibility of a global cell-cell communication is investigated. The approach chosen to study these phenomena follows the motto "mathematics is biology's next microscope". Mathematical modeling is used to transform the central gene regulatory network at the heart of this work into a system of equations that allows us to describe the temporal evolution of NANOG and GATA6 under the influence of an external signal. Special attention is paid to the derivation of new models using methods of statistical mechanics, as well as the comparison with existing models. After a detailed stability analysis the advantages of the derived model become clear by the fact that an exact relationship of the model parameters and the formation of heterogeneous mixtures of two cell types was found. Thus, the model can be easily controlled and the proportions of the resulting cell types can be estimated in advance. This mathematical model is also combined with a mechanism for global cell-cell communication, as well as a model for the growth of an organoid. It is shown that the global cell-cell communication is able to unify the formation of checkerboard patterns as well as engulfing patterns based on differently propagating signals. In addition, the influence of cell division and thus organoid growth on pattern formation is studied in detail. It is shown that this is able to contribute to the formation of clusters and, as a consequence, to breathe some randomness into otherwise perfectly sorted patterns.
Insects are responsible for the major part of the ecosystem services pollination and natural pest control. If insects decline, these ecosystem services can not longer be reliably delivered. Agricultural intensification and the subsequent loss and fragmentation of habitats has among others been identified to cause insect decline. Ecological intensification aims to promote alternative and sustainable management practices in agricultural farming, for example to decrease the use of external inputs such as pesticides. Agri-environment schemes make amends for farmers if they integrate ecologically beneficial measures into their farming regime and can therefore promote ecological intensification. There is a wide variety of agri-environment schemes, but the implementation of sown flower fields on crop fields is often included. Flower fields offer foraging resources as well as nesting sites for many different insect species and should be able to support insect populations as well as to increase ecosystem services to adjacent fields. However, the potential of flower fields to exhibit these effects is depending on many factors. Among others, the age and size of the flower field can influence if and how different insects profit from the measure. Additionally, the complexity of the surrounding landscape and therefore the existing biodiversity is influencing the potential of flower fields to increase ecosystem services locally. The goal of this study is to disentangle to which degree these factors influence the ecosystem services pollination and natural pest control and if these factors interact with each other. Furthermore, it will be examined if and how flower fields and ecosystem services influence crop yield. Additional factors examined in this study are distance decay and pesticide use. The abundance of beneficial insects can decrease strongly with increasing distance to suitable habitats. Pesticide use in turn could abrogate positive effects of flower fields on beneficial insects.
To examine these different aspects and to be able to make recommendations for flower field implementation, field experiments were conducted on differently composed sown flower fields and adjacent oilseed rape fields. Flower fields differed in their age and continuity as well as in their size. Additionally, flower and oilseed rape fields were chosen in landscapes with different amounts of semi-natural habitat. Oilseed rape fields adjacent to calcareous grasslands and conventional crop fields served as controls. Pollinator observations and pollen beetle and parasitism surveys were conducted in the oilseed rape fields. Additionally, different yield parameters of the oilseed rape plants were recorded. Observations were conducted and samples taken in increasing distance to the flower fields to examine distance decay functions. Spray windows were established to inspect the influence of pesticides on ecosystem services and crop yields. Linear mixed models were used for statistical analysis.
The results show, that newly established flower fields with high amounts of flower cover are very attractive for pollinators. If the flower fields reached a certain size (> 1.5ha), the pollinators tended to stay in these fields and did not distribute into the surroundings. High amounts of semi-natural habitat in the surrounding landscape increased the value of small flower fields as starting points for pollinators and their subsequent spillover into crop fields. Additionally, high amounts of semi-natural habitat decreased the decay of pollinators with increasing distance to the flower fields. Based on these results, it can be recommended to establish many small flower fields in landscapes with high amounts of semi-natural habitat and large flower fields in landscapes with low amounts of semi-natural habitat. However, it is mentionable that flower fields are no substitute for perennial semi-natural habitats. These still must be actively conserved to increase pollination to crop fields.
Furthermore, the lowest amount of pollen beetle infestation was found on oilseed rape fields adjacent to continuous flower fields aged older than 6 years. Flower fields and calcareous grasslands in general increased pollen beetle parasitism in adjacent oilseed rape fields compared to conventional crop fields. The threshold for effective natural pest control could only be reached in the pesticide free areas in the oilseed rape fields adjacent to continuous flower fields and calcareous grasslands. Parasitism and superparasitism declined with increasing distance to the adjacent fields in pesticide treated areas of the oilseed rape fields. However, they remained on a similar level in spray windows without pesticides. Large flower fields increased parasitism and superparasitism more than small flower fields. Flower fields generally have the potential to increase pollen beetle parasitism rates, but pesticides can abrogate these positive effects of flower fields on natural pest control.
Last but not least, effects of flower fields and ecosystem services on oilseed rape yield were examined. No positive effects of pollination on oilseed rape yield could be found. Old and continuous flower fields increased natural pest control in oilseed rape fields, which in turn increased seed set and total seed weight of oilseed rape plants. The pesticide treatment had negative effects on natural pest control, but positive effects on crop yield. Pollination and natural pest control decreased with increasing distance to the field edge, but fruit set slightly increased. The quality of the field in terms of soil and climatic conditions did not influence the yield parameters examined in this study. Yield formation in oilseed rape plants is a complex process with many factors involved, and it is difficult to disentangle indirect effects of flower fields on yield. However, perennial flower fields can promote ecological intensification by increasing crop yield via natural pest control. This study contributes to a better understanding of the effects of differently composed flower fields on pollination, natural pest control and oilseed rape yield.
Distinct juvenile behaviour differences, changes in adult sizes and reproductive capacity and a long reproductive period triggered the working hypothesis of two alternative life-cycle strategies favouring aestivation or immediate reproduction. The hypothesis for the life-cycles of Hyperolius nitidulus that differed from the commonly assumed reproductive strategy for this species was confirmed by the results of this study. Aestivated juveniles start to mature at the beginning of the rainy season and reproduce subsequently. Their tadpoles grow until metamorphosis and either reproduce in this same season, in which case their offspring aestivates (one year - two generations), or they delay reproduction to the following year and aestivate themselves (one year - one generation). Juveniles trying to reproduce as fast as possible will invest in growth and differentiation and show no costly adaptations to aestivation, while juveniles delaying reproduction to the following rainy season will be well adapted to dry season conditions. Indirect evidence for the existence of a second generation was found in all three investigation years: adult size decreased abruptly towards the end of the rainy season, mainly due to the arrival of very small individuals, and clutch size decreased abruptly. Also at the end of the rainy season juveniles had two behavioural types: one hiding on the ground and clearly avoiding direct sunlight and another sitting freely above ground showing higher tolerance towards dry season conditions (high air temperatures and low humidity). Skin morphology differed between the types showing many more purine crystals in a higher order in the dry-season adapted juveniles. The final proof for the existence of a second generation came with the recapture of individuals marked as juveniles when they left the pond. The 45 recaptured frogs definitely came back to the pond to reproduce during the same season in 1999. Second generation frogs (males and females) were significantly smaller than the rest of all adults and egg diameter was reduced. Clutch size did not differ significantly. It was found that females did not discriminate against second generation males when coming to the ponds to reproduce. Second generation males had a similar chance to be found in amplexus as first generation males. Indirect and direct evidence for a second generation matched very well. The sudden size decrease in adults occurred just at the time when the first marked frogs returned. The observation that freshly metamorphosed froglets were able to sit in the sun directly after leaving the water led to the assumption that the decision whether to aestivate or to reproduce already happens during the frogs' larval period. Water chemistry and the influence of light was investigated to look for the factors triggering the decision, but only contaminated water increased the number of juveniles ready for aestivation. Whether the life history polymorphism observed in Hyperolius nitidulus is due to phenotypic plasticity or genetic polymorphism is still not known. Despite this uncertainty, there is no doubt that the optimal combination of different life histories is profitable and may be a reason for the wide range and high local abundance of Hyperolius nitidulus.
Amphibian communities of the dry forest of Western Madagascar : taxonomy, ecology and conservation
(2006)
The amphibian fauna of the Kirindy dry forest in western Madagascar Abstracts of chapter 5 and 6 Living apart together – patterns of tadpole communities in a western Madagascan dry forest Whether communities are established in a deterministic or in a stochastic manner depends to a large degree on the spatial scale considered. In this study we use a tadpole community in the dry forest of western Madagascar to show that when within-site habitat diversity is considered, communities may also differ in two community parameters (species composition and species richness) within one geographic scale. Forest ponds and riverbed ponds are two types of breeding habitat that are both used by anurans but that differ generally in their temporal availability, predation pressure, and environmental characteristics. In forest ponds, tadpole communities were very predictable by the physical properties of the ponds and by their vegetation characteristics. In contrast, the riverbed communities were not predictable. We offer two hypotheses to explain this phenomenon. This study clearly demonstrates differing patterns in community organization in two natural habitats within one site, and therefore, highlights the importance of considering local conditions and within-site habitat diversity in community studies. Modeling the habitat use of an endangered dry-forest frog from Western Madagascar A crucial factor for the successful reproduction and thus conservation of an amphibian species is the availability of suitable waters as breeding sites. In this chapter, we examine the use of breeding sites of an endangered, local endemic frog of Western Madagascar, Aglyptodactylus laticeps, over a three year period. Logistic regression was used to model the relationship between the species’ breeding habitat use and environmental variables. This model was aimed to be predictive, rather than explanatory, and only environmental variables were included that are assessable in a time and cost effective manner, and that can therefore be used as an easy-to-use management tool in applied conservation. On the local scale of the Kirindy concession, A. laticeps is restricted to forest with a relatively low degree of disturbance and closed canopy cover. The model identified three environmental variables that suffice to satisfactorily predict the use of respective breeding sites, namely leaf litter, vegetation coverage and surface water plants. Based on these results, we present recommendations for the conservation management of this frog. Furthermore, the presence or absence of this species within its natural range indicates the relative degree of environmental integrity of its habitat, and we therefore consider this species as a suitable indicator species of temporary aquatic habitats within the dry forest that are characterized by a low water permanency and high leaf litter coverage. This study demonstrates that models constructed from basic ecological knowledge of relevant species may serve as valuable management tools in applied conservation.
Most natural learning situations are of a complex nature and consist of a tight conjunction of the animal's behavior (B) with the perceived stimuli. According to the behavior of the animal in response to these stimuli, they are classified as being either biologically neutral (conditioned stimuli, CS) or important (unconditioned stimuli, US or reinforcer). A typical learning situation is thus identified by a three term contingency of B, CS and US. A functional characterization of the single associations during conditioning in such a three term contingency has so far hardly been possible. Therefore, the operational distinction between classical conditioning as a behavior-independent learning process (CS-US associations) and operant conditioning as essentially behavior-dependent learning (B-US associations) has proven very valuable. However, most learning experiments described so far have not been successful in fully separating operant from classical conditioning into single-association tasks. The Drosophila flight simulator in which the relevant behavior is a single motor variable (yaw torque), allows for the first time to completely separate the operant (B-US, B-CS) and the classical (CS-US) components of a complex learning situation and to examine their interactions. In this thesis the contributions of the single associations (CS-US, B-US and B-CS) to memory formation are studied. Moreover, for the first time a particularly prominent single association (CS-US) is characterized extensively in a three term contingency. A yoked control shows that classical (CS-US) pattern learning requires more training than operant pattern learning. Additionally, it can be demonstrated that an operantly trained stimulus can be successfully transferred from the behavior used during training to a new behavior in a subsequent test phase. This result shows unambiguously that during operant conditioning classical (CS-US) associations can be formed. In an extension to this insight, it emerges that such a classical association blocks the formation of an operant association, which would have been formed without the operant control of the learned stimuli. Instead the operant component seems to develop less markedly and is probably merged into a complex three-way association. This three-way association could either be implemented as a sequential B-CS-US or as a hierarchical (B-CS)-US association. The comparison of a simple classical (CS-US) with a composite operant (B, CS and US) learning situation and of a simple operant (B-US) with another composite operant (B, CS and US) learning situation, suggests a hierarchy of predictors of reinforcement. Operant behavior occurring during composite operant conditioning is hardly conditioned at all. The associability of classical stimuli that bear no relation to the behavior of the animal is of an intermediate value, as is operant behavior alone. Stimuli that are controlled by operant behavior accrue associative strength most easily. If several stimuli are available as potential predictors, again the question arises which CS-US associations are formed? A number of different studies in vertebrates yielded amazingly congruent results. These results inspired to examine and compare the properties of the CS-US association in a complex learning situation at the flight simulator with these vertebrate results. It is shown for the first time that Drosophila can learn compound stimuli and recall the individual components independently and in similar proportions. The attempt to obtain second-order conditioning with these stimuli, yielded a relatively small effect. In comparison with vertebrate data, blocking and sensory preconditioning experiments produced conforming as well as dissenting results. While no blocking could be found, a sound sensory preconditioning effect was obtained. Possible reasons for the failure to find blocking are discussed and further experiments are suggested. The sensory preconditioning effect found in this study is revealed using simultaneous stimulus presentation and depends on the amount of preconditioning. It is argued that this effect is a case of 'incidental learning', where two stimuli are associated without the need of reinforcement. Finally, the implications of the results obtained in this study for the general understanding of memory formation in complex learning situations are discussed.
In this thesis, synaptic transmission was studied electrophysiologically at an invertebrate model synapse, the neuromuscular junction of the Drosophila 3rd instar wandering larvae. In the first part, synaptic function is characterized at the neuromuscular junction in fly lines which are null mutants for the synaptic proteins “the synapse associated protein of 47 kDa” (Sap-47156), Synapsin (Syn97), the corresponding double mutant (Sap-47156, Syn97), a null mutant for an as yet uncharacterized Drosophila SR protein kinase, the Serine-Arginine protein kinase 3 (SRPK3), and the Löchrig (Loe) mutant which shows a strong neurodegenerative phenotype. Intracellular voltage recordings from larval body wall muscles 6 and 7 were performed to measure amplitude and frequency of spontaneous single vesicle fusion events (miniature excitatory junction potentials or mEJPs). Evoked excitatory junction potentials (eEJPs) at different frequencies and calcium concentrations were also measured to see if synaptic transmission was altered in mutants which lacked these synaptic proteins. In addition, structure and morphology of presynaptic boutons at the larval neuromuscular junction were examined immunohistochemically using monoclonal antibodies against different synaptic vesicle proteins (SAP-47, CSP, and Synapsin) as well as the active zone protein Bruchpilot. Synaptic physiology and morphology was found to be similar in all null mutant lines. However, Löchrig mutants displayed an elongated bouton morphology, a significant shift towards larger events in mEJP amplitude frequency histograms, and increased synaptic facilitation during a 10 Hz tetanus. These deficits suggest that Loe mutants may have a defect in some aspect of synaptic vesicle recycling. The second part of this thesis involved the electrophysiological characterization of heterologously expressed light activated proteins at the Drosophila neuromuscular junction. Channelrhodopsin-2 (ChR2), a light gated ion channel, and a photoactivated adenylate cyclase (PAC) were expressed in larval motor neurons using the UAS-Gal4 system. Single EJPs could be recorded from muscles 15, 16, and 17 when larva expressing ChR2 were illuminated with short (100 ms) light pulses, whereas long light pulses (10 seconds) resulted in trains of EJPs with a frequency of around 25 Hz. Larva expressing PAC in preparations where motor neurons were cut from the ventral ganglion displayed a significant increase in mEJP frequency after a 1 minute exposure to blue light. Evoked responses in low (.2 mM) calcium were also significantly increased when PAC was stimulated with blue light. When motor nerves were left intact, PAC stimulation resulted in light evoked EJPs in muscles 6 and 7 in a manner consistent with RP3 motor neuron activity. ChR2 and PAC are therefore useful and reliable tools for manipulating neuronal activity in vivo.
Systems biology looks for emergent system effects from large scale assemblies of molecules and data, for instance in the human platelets. However, the computational efforts in all steps before such insights are possible can hardly be under estimated. In practice this involves numerous programming tasks, the establishment of new database systems but as well their maintenance, curation and data validation. Furthermore, network insights are only possible if strong algorithms decipher the interactions, decoding the hidden system effects. This thesis and my work are all about these challenges. To answer this requirement, an integrated platelet network, PlateletWeb, was assembled from different sources and further analyzed for signaling in a systems biological manner including multilevel data integration and visualization. PlateletWeb is an integrated network database and was established by combining the data from recent platelet proteome and transcriptome (SAGE) studies. The information on protein-protein interactions and kinase-substrate relationships extracted from bioinformatical databases as well as published literature were added to this resource. Moreover, the mass spectrometry-based platelet phosphoproteome was combined with site-specific phosphorylation/ dephosphorylation information and then enhanced with data from Phosphosite and complemented by bioinformatical sequence analysis for site-specific kinase predictions. The number of catalogued platelet proteins was increased by over 80% as compared to the previous version. The integration of annotations on kinases, protein domains, transmembrane regions, Gene Ontology, disease associations and drug targets provides ample functional tools for platelet signaling analysis. The PlateletWeb resource provides a novel systems biological workbench for the analysis of platelet signaling in the functional context of protein networks. By comprehensive exploration, over 15000 phosphorylation sites were found, out of which 2500 have the corresponding kinase associations. The network motifs were also investigated in this anucleate cell and characterize signaling modules based on integrated information on phosphorylation and protein-protein interactions. Furthermore, many algorithmic approaches have been introduced, including an exact approach (heinz) based on integer linear programming. At the same time, the concept of semantic similarities between two genes using Gene Ontology (GO) annotations has become an important basis for many analytical approaches in bioinformatics. Assuming that a higher number of semantically similar gene functional annotations reflect biologically more relevant interactions, an edge score was devised for functional network analysis. Bringing these two approaches together, the edge score, based on the GO similarity, and the node score, based on the expression of the proteins in the analyzed cell type (e.g. data from proteomic studies), the functional module as a maximum-scoring sub network in large protein-protein interaction networks was identified. This method was applied to various proteome datasets (different types of blood cells, embryonic stem cells) to identify protein modules that functionally characterize the respective cell type. This scalable method allows a smooth integration of data from various sources and retrieves biologically relevant signaling modules.
The live sciences currently undergo a paradigm shift to computer aided discoveries. Discoveries in the live sciences were historically made by either direct observation or as a result of chemical assays. Today we see a growing shift toward computer aided analysis and visualization. This gradual process happens in microscopy. Multidimensional laser scanning microscopy can acquire very complex multichannel data from fixed or live specimen. New probes such as visible fluorescent proteins let us observe the expression of genes and track protein localization. Ion sensitive dyes change intensity with the concentration of ions in the cell. The laser scanning confocal allows us to record these processes in three dimensions over time. This work demonstrates the application of software analysis to multidimensional microscopy data. We introduce methods for volume investigation, ion flux analysis and molecular modeling. The visualization methods are based on a multidimensional data model to accommodate complex datasets. The software uses vector processing and multiple processors to accelerate volume rendering and achieve interactive rendering. The algorithms are based on human visual perception and allow the observer a wide range of mixed render modes. The software was used to reconstruct the pituitary development in zebrafish and observe the degeneration of neurons after injury in a mouse model. Calicum indicator dyes have long been used to study calcium fluxes. We optimized the imaging method to minimize impact on the cell. Live cells were imaged continuously for 45 minutes and subjected to increasing does of a drug. We correlated the amplitude of calcium oscillations to increasing doses of a drug and obtain single cell dose response curves. Because this method is very sensitive and measures single cell responses it has potential in drug discovery and characterization. Microtubules form a dynamic cytoskeleton, which is responsible for cell shape, intracellular transport and has an integral role in mitosis. A hallmark of microtubule organization is lateral interactions. Microtubules are bundles by proteins into dense structures. To estimate the contribution of this bundling process, we created a fractal model of microtubule organization. This model demonstrates that morphology of complex microtubule arrays can be explained by bundling alone. In summary we showed that advances in software for visualization, data analysis and modeling lead to new discoveries.
Analysis of \(Trypanosoma\) \(brucei\) motility and the infection process in the tsetse fly vector
(2021)
African trypanosomes are protist pathogens that are infective for a wide spectrum of mammalian hosts. Motility has been shown to be essential for their survival and represents an important virulence factor. Trypanosoma brucei is transmitted by the bite of the bloodsucking tsetse fly, the only vector for these parasites. The voyage through the fly is complex and requires several migration, proliferation and differentiation steps, which take place in a defined order and in specific fly tissues.
The first part of this doctoral thesis deals with the establishment of the trypanosome tsetse system as a new model for microswimmer analysis. There is an increasing interdisciplinary interest in microbial motility, but a lack of accessible model systems. Therefore, this work introduces the first enclosed in vivo host parasite system that is suitable for analysis of diverse microswimmer types in specific microenvironments. Several methods were used and adapted to gain unprecedented insights into trypanosome motion, the fly´s interior architecture and the physical interaction between host and parasite. This work provides a detailed overview on trypanosome motile behavior as a function of development in diverse host surroundings. In additional, the potential use of artificial environments is shown. This can be used to partly abstract the complex fly architecture and analyze trypanosome motion in defined nature inspired geometries.
In the second part of the thesis, the infection of the tsetse fly is under investigation. Two different trypanosome forms exist in the blood: proliferative slender cells and cell cycle arrested stumpy cells. Previous literature states that stumpy cells are pre adapted to survive inside the fly, whereas slender cells die shortly after ingestion. However, infection experiments in our laboratory showed that slender cells were also potentially infective. During this work, infections were set up so as to minimize the possibility of stumpy cells being ingested, corroborating the observation that slender cells are able to infect flies. Using live cell microscopy and fluorescent reporter cell lines, a comparative analysis of the early development following infection with either slender or stumpy cells was performed. The experiments showed, for the first time, the survival of slender trypanosomes and their direct differentiation to the procyclic midgut stage, contradicting the current view in the field of research. Therefore, we can shift perspectives in trypanosome biology by proposing a revised life cycle model of T. brucei, where both bloodstream stages are infective for the vector.
Rhodococcus equi is a Gram-positive intracellular pathogen which can cause severe bronchopneumonia in foals. In recent years, the role of this bacterium as human pathogen has been noted, as R.equi infections in humans have increase in frequency. This increase is associated with the rise in immunosupressed individuals, specially AIDS patients, where infection leads to symptoms and pathology similar to those seen in foals with a high mortality rate. Due to its capability to survive and multiply in murine and equine macrophages, R.equi has been classified as a facultative intracellular bacterium. R.equi is found frequently in macrophages in alveolar infiltrate from infected animals. The pathogenicity of R.equi depends on its ability to exist and multiply inside macrophages and has been associated with the presence of virulence plasmids. It has been observed that, inside foal alveolar macrophages, R.equi-containing vacuoles (RCVs) do not mature into phagolysosomes. However, most of the intracellular events during R.equi infection have not been investigated in detail. The aim of this study was to elucidate the intracellular compartmentation of R.equi and the mechanism by which the bacteria avoid destruction in host macrophages. The importance of the virulence-associated plasmids of R.equi for the establishment of RCVs was also evaluated. Furthermore, the intracellular fate of viable and non-viable R.equi was compared in order to study whether viability of R.equi influeciantes the establishment of RCVs. In this study, the RCV was characterized by using a variety of endocytic markers to follow the path of the bacteria trhough murine macropages. Transmission electron microscopy-base analysis showed that R.equi was found equally frequently in phagosomes with loosely or thightly apposed membranes, and RCV often contains numerous membranous vesicles. Laser scanning microscopy of infected macrophages showed that the majority of phagosomes containing R.equi acquired transiently the early endosomal markers Rab5, Ptlns3P, and EEA-1, suggesting initially undisturbed phagosome maturation. Although the RCV acquired some late endosomal markers, such as Rab7, LAMP-1, and Lamp-2, they did not acquired vATPase, did not interact with pre-labeled lysosomes, and failed to acidify. These data clearly suggest that the RCV is a compartment which has left vacuoles that resemble multivesicular body compartments (MVB), which are transport intermediates between early and late endosomes and display internal vesicles very similar to the ones observed within RCVs. Analyisis of several R.equi strains containing either VapA- or VapB-expressing plasmids or neither demonstrated that the possession of the virulence-associated plasmids does not affect phagosome trafficking over a two hour period of infection. The finding that non-viable R.equi was still able to inhibit phagosome maturation (although not to the same extent as viable R.equi did) suggests that heat-insensitive factors, such as cell periphery lipids, may play a major role in inhibition of phagosome maturation, although heat-sensitive factors may also be involved.
The MEK5/ ERK5 kinase module is a relatively new discovered mitogen-activated protein kinase (MAPK) signalling pathway with a poorly defined physiological function. Since ERK5 and its upstream activator MEK5 are abundant in skeletal muscle a function of the cascade during muscle differentiation was examined. ERK5 becomes activated upon induction of differentiation in mouse myoblasts. The selective activation of the pathway results in promoter activation of differentiation-specific genes, such as the cdk-inhibitor p21 gene, the myosin light chain (MLC1A) gene, or an E-box containing promoter element, where myogenic basic-helix-loop-helix proteins such as MyoD or myogenin bind. Moreover, myogenic differentiation is completely blocked, when ERK5 expression is inhibited by antisense RNA. The effect can be detected also on the expression level of myogenic determination and differentiation markers such as p21, MyoD and myogenin. Another new finding is that stable expression of ERK5 in C2C12 leads to differentiation like phenotype and to increased p21 expression levels under growth conditions. These results provide first evidence that the MEK5/ERK5 MAP kinase cascade is critical for early steps of muscle cell differentiation.
The eukaryotic parasite Trypanosoma brucei has evolved sophisticated strategies to persist within its mammalian host. Trypanosomes evade the hosts' immune system by antigenic variation of their surface coat, consisting of variant surface glycoproteins (VSGs). Out of a repertoire of thousands of VSG genes, only one is expressed at any given time from one of the 15 telomeric expression sites (ES). The VSG is stochastically exchanged either by a transcriptional switch of the active ES (in situ switch) or by a recombinational exchange of the VSG within the active ES. However, for infections to persist, the parasite burden has to be limited. The slender (sl) bloodstream form secretes the stumpy induction factor (SIF), which accumulates with rising parasitemia. SIF induces the irreversible developmental transition from the proliferative sl to the cell cycle-arrested but fly-infective stumpy (st) stage once a concentration threshold is reached. Thus, antigenic variation and st development ensure persistent infections and transmissibility. A previous study in monomorphic cells indicated that the attenuation of the active ES could be relevant for the development of trypanosomes. The present thesis investigated this hypothesis using the inducible overexpression of an ectopic VSG in pleomorphic trypanosomes, which possess full developmental competence. These studies revealed a surprising phenotypic plasticity: while the endogenous VSG was always down-regulated upon induction, the ESactivity determined whether the VSG overexpressors arrested in growth or kept proliferating. Full ES-attenuation induced the differentiation of bona fide st parasites independent of the cell density and thus represents the sole natural SIF-independent differentiation trigger to date. A milder decrease of the ES-activity did not induce phenotypic changes, but appeared to prime the parasites for SIF-induced differentiation. These results demonstrate that antigenic variation and development are linked and indicated that the ES and the VSG are independently regulated. Therefore, I investigated in the second part of my thesis how ES-attenuation and VSG-silencing can be mediated. Integration of reporters with a functional or defective VSG 3'UTR into different genomic loci showed that the maintenance of the active state of the ES depends on a conserved motif within the VSG 3'UTR. In situ switching was only triggered when the telomere-proximal motif was partially deleted, suggesting that it serves as a DNA-binding motif for a telomere-associated protein. The VSG levels seem to be additionally regulated in trans based on the VSG 3'UTR independent of the genomic context, which was reinforced by the regulation of a constitutively expressed reporter with VSG 3' UTR upon ectopic VSG overexpression.
Summary Timber harvesting is currently the most common commercial utilisation activity in tropical forests. Assessing the effects of logging on different aspects of biodiversity and general ecosystem properties is hence of prime importance if the few remaining areas of intact tropical forest are to be protected effectively and efficiently. Tropical amphibian communities are an appropriate model system for studies on the impacts of human-induced environmental changes on the dynamics of complex biological systems. This thesis elaborates on patterns of diversity changes in tropical forest amphibian communities facing habitat alterations associated with selective logging in two globally important eco-regions (Côte d’Ivoire, Upper Guinea, West Africa and Guyana, the Guiana Shield, northern South America). The thesis is organised along two main themes. After a general introduction, a section on general methodology and an introduction to the model systems studied, the first theme moves from general patterns to underlying processes. A second theme running through both chapters carries from undisturbed systems to disturbed systems. A final section integrates findings and addresses implications for conservation management of anthropogenically altered tropical forests. Several case studies at the species- population and community level are being presented and data on the direct and indirect impacts of anthropogenic habitat alteration on respective organizational levels are provided. A key statement that is stressed on throughout the studies is the fact that common measures of diversity, such as species richness and species-diversity only inadequately reflect processes of diversity change following anthropogenic disturbance. They also fail to describe actual impacts on the dynamics of complex biological systems. It is argued that commonly used measures produce an incoherent and insufficient picture of diversity patterns and the underlying processes that shape these patterns. Thus, an understanding of higher levels of diversity, such as β-diversity and functional diversity (and hence compositional patterns) appears to be the key to effectively mitigating the impacts of human-induced disturbance on amphibian communities. It is shown that the predictability of amphibian community composition depends on the respective level of anthropogenic disturbance imposed on a particular habitat. Hence, human activities that lead to changes in the structure of a forest, such as logging, not only alter simple system descriptors, such as the number of species in a given community, but rather alter the dynamics of the entire system. In this context, functional diversity is shown to be an important aspect underlying the actual mechanism that leads to the observed change of predictability patterns. Functional differences between species, rather than number of species per se appear to be the decisive factor in sustaining desirable ecosystem states and thus in maintaining important ecosystem services. Because biological diversity appears to play a substantial role in ecosystem resilience required to safeguard essential ecosystem functions in the face of environmental change, the thesis calls for a critical revision of common diversity assessments approaches. The studies advocate the reconsideration of the uncritical use of widespread measures and descriptors of biodiversity on grounds of inconsistent patterns found throughout numerous studies, including those presented herein.
Neoplasms of the skin represent the most frequent tumors worldwide; fortunately, most of them are benign or semi-malignant and well treatable. However, the two most aggressive and deadly forms of malignant skin-neoplasms are melanoma and Merkel cell carcinoma (MCC), being responsible for more than 90% of skin-cancer related deaths. The last decade has yielded enormous progress in melanoma therapy with the advent of targeted therapies, like BRAF or MEK inhibitors, and immune-stimulating therapies, using checkpoint antibodies targeting CTLA- 4, PD-1 or PD-L1. Very recent studies suggest that also MCC patients benefit from a treatment with checkpoint antibodies. Nevertheless, in an advanced metastatic stage, a cure for both of these aggressive malignancies is still hard to achieve: while only a subset of patients experience durable benefit from the immune-based therapies, the widely applicable targeted therapies struggle with development of resistances that inevitably occur in most patients, and finally lead to their death. The four articles included in this thesis addressed current questions concerning therapy and carcinogenesis of melanoma and MCC. Moreover, they are discussed in the light of the up-to-date research regarding targeted and immune-based therapies. In article I we demonstrated that besides apoptosis, MAPK pathway inhibition in BRAF-mutated melanoma cells also induces senescence, a permanent cell cycle arrest. These cells may provide a source for relapse, as even permanently arrested cancer cells can contribute to a pro-tumorigenic milieu. To identify molecular factors determining the differential response, we established M14 melanoma cell line derived single cell clones that either undergo cell death or arrest when treated with BRAF/MEK inhibitors. Using these single cell clones, we demonstrated in article IV that downregulation of the pro-apoptotic BH3-only protein BIK via epigenetic silencing is involved in apoptosis deficiency, which can be overcome by HDAC inhibitors. These observations provide a possible explanation for the lack of a complete and durable response to MAPK inhibitor treatment in melanoma patients, and suggest the application of HDAC inhibitors as a complimentary therapy to MAPK pathway inhibition. Concerning MCC, we scrutinized the interactions between the Merkel cell polyomavirus’ (MCV) T antigens (TA) and the tumor suppressors p53 and Rb in article II and III, respectively. In article III, we demonstrated that the cell cycle master regulator Rb is the crucial target of MCV large T (LT), while it - in contrast to other polyomavirus LTs - exhibits much lower affinity to the related proteins p107 and p130. Knockdown of MCV LT led to proliferation arrest in MCC cells, which can be rescued by knockdown of Rb, but not by knockdown of p107 and p130. Contrary to Rb, restriction of p53 in MCC seems to be independent of the MCV TAs, as we demonstrated in article II. In conclusion, the presented thesis has revealed new molecular details, regarding the response of melanoma cells towards an important treatment modality and the mechanisms of viral carcinogenesis in MCC.
In the work here presented four distinctly different problems were investigated. The first problem was an investigation into the degradation of Dichloroethylene (DCE) and 1,1-bis (p-Chlorophenyl)-2-dichloroethylene (DDE) utilising pure bacterial cultures. The second investigation dealt with the degradation of DDE and polychlorinated Biphenyl’s (PCB’s) utilising anaerobic sediments and soils from New Zealand. The third investigation worked on the Granulation of anaerobic River-sediments in Upflow Anaerobic Sludge Blanket (UASB) Reactors. The last investigation describes the commissioning of an industrial aerobic Wastewater Treatment Plant and the Implementation of biological Nitrogen- and Phosphate removal in this Wastewater Treatment Plant. Since the chemical Structure of DCE and DDE have certain similarities, Bacteria that were capable of degrading DCE, were tested here, whether they would also be able to degrade DDE utilising a co-metabolic pathway. In the experiments the aerobic bacteria Methylosinus trichosporium and Mycobacterium vaccae and the anaerobic bacteria Acetobacterium woodii and Clostridium butyricum were used. Approximately 60% of the added DCE was degraded by M. vaccae, while M. trichosporium degraded approximately 50%. A. woodii and C. butyricum degraded 40% and 30% respectively of the added DCE. Further experiments with these cultures and DDE lead to a microbial degradation of DDE to an extent of 34.6% for M. vaccae, 14.1% for C. butyricum, 2.2% for A. woodii and 10.5% for M. trichosporium. Additional experiments, utilising [14C]-DDE, showed that the DDE had not been degraded but were attached to the bacterial cells. The second investigation utilised anaerobic soils and sediments from New Zealand to study the anaerobic co-metabolic degradation of DDE and PCB’s. The soils and sediments originated from the River Waikato, from Wastewater Ponds in Kinleith, Marine-Sediments from Mapua, and a variety of soils comtaminated with Pentachlorophenyl (PCP). The cultures from these soils and sediments were raised on a variety of Carbon- and Energy-sources. Beside DDE, Aroclor 1260, and a mix of four pure PCB-Congeneres (one Tetra-, one Hexa, one Hepta- and one Deca-Chlorobiphenyl) were used to test for the reductive dechlorination. The cultivation process of the baceria lasted six months. Samples of the cultures were taken after zero, three and six months. These samples were tested for the increase of cell-protein, the degradation of carbon- and energy-sources, and the removal of the added polychlorinated chemicals. The organochlorines were analysed using reversed phase HPLC and FID-GC. When a change in the Chromatogram was detected the respective cultures were further analysed using ECD-GC and GC-MS. The results showed that the culutres grew under these conditions, but no degradation of DDE and the PCB-Mix could be detected, and only small changes in the composition/chromatograms of Aroclor 1260 were found. The third investigation worked on the Granulation of River-Sediments in UASB-Reactors. Sediments from the River Waikato in New Zealand and the River Saale in Germany were used. In both cases the Granulation process was successful, which was demonstrated by microscopic comparisons of the Sediments and the resulting Granules. The two main bacterial cultures detected were Methanosarcina- and Methanothrix-like cultures. The main carbon- and energy-source was Lactic Acid, which was used at a concentration of 21,8 g COD/L. The Granulation-Process was a combination of using high a COD-Concentration combined with a low Volumetric Loading-Rate. Comparisons of the specific degradation-rates of a variety of carbon- and energy-sources between the Sediments and the Granules, showed no increased degradation rates in regard to the same cell-mass, but the increased bio-mass in the Granules allowed for higher degradation-rates within the UASB-reactors. The fourth investigation describes the commissioning of an industrial Wastewater Treatment Plant for a Dairy-Site in Edendale, Southland, New Zealand. This Plant consists of a DAF-Unit (Dissolved Air Flotation), two Extended Aeration Lagoons with Activated Sludge and two Clarifiers, one for the Activated Sludge and the second for the dosing of Aluminium-Sulphate and the removal of Phosphat-Sulphate. Biological processes for the removal of carbon- and energy-sources were optimised and biological processes for the reduction of Nitrogen- and Phosphate-Concentrations within the wastewater were implemented and optimised. Bilogical removal rates for COD of 95% and above, for Nitrogen of 85-92% and Phosphate of 64-83% were achieved.
Applying microarray‐based techniques to study gene expression patterns: a bio‐computational approach
(2010)
The regulation and maintenance of iron homeostasis is critical to human health. As a constituent of hemoglobin, iron is essential for oxygen transport and significant iron deficiency leads to anemia. Eukaryotic cells require iron for survival and proliferation. Iron is part of hemoproteins, iron-sulfur (Fe-S) proteins, and other proteins with functional groups that require iron as a cofactor. At the cellular level, iron uptake, utilization, storage, and export are regulated at different molecular levels (transcriptional, mRNA stability, translational, and posttranslational). Iron regulatory proteins (IRPs) 1 and 2 post-transcriptionally control mammalian iron homeostasis by binding to iron-responsive elements (IREs), conserved RNA stem-loop structures located in the 5’- or 3‘- untranslated regions of genes involved in iron metabolism (e.g. FTH1, FTL, and TFRC). To identify novel IRE-containing mRNAs, we integrated biochemical, biocomputational, and microarray-based experimental approaches. Gene expression studies greatly contribute to our understanding of complex relationships in gene regulatory networks. However, the complexity of array design, production and manipulations are limiting factors, affecting data quality. The use of customized DNA microarrays improves overall data quality in many situations, however, only if for these specifically designed microarrays analysis tools are available. Methods In this project response to the iron treatment was examined under different conditions using bioinformatical methods. This would improve our understanding of an iron regulatory network. For these purposes we used microarray gene expression data. To identify novel IRE-containing mRNAs biochemical, biocomputational, and microarray-based experimental approaches were integrated. IRP/IRE messenger ribonucleoproteins were immunoselected and their mRNA composition was analysed using an IronChip microarray enriched for genes predicted computationally to contain IRE-like motifs. Analysis of IronChip microarray data requires specialized tool which can use all advantages of a customized microarray platform. Novel decision-tree based algorithm was implemented using Perl in IronChip Evaluation Package (ICEP). Results IRE-like motifs were identified from genomic nucleic acid databases by an algorithm combining primary nucleic acid sequence and RNA structural criteria. Depending on the choice of constraining criteria, such computational screens tend to generate a large number of false positives. To refine the search and reduce the number of false positive hits, additional constraints were introduced. The refined screen yielded 15 IRE-like motifs. A second approach made use of a reported list of 230 IRE-like sequences obtained from screening UTR databases. We selected 6 out of these 230 entries based on the ability of the lower IRE stem to form at least 6 out of 7 bp. Corresponding ESTs were spotted onto the human or mouse versions of the IronChip and the results were analysed using ICEP. Our data show that the immunoselection/microarray strategy is a feasible approach for screening bioinformatically predicted IRE genes and the detection of novel IRE-containing mRNAs. In addition, we identified a novel IRE-containing gene CDC14A (Sanchez M, et al. 2006). The IronChip Evaluation Package (ICEP) is a collection of Perl utilities and an easy to use data evaluation pipeline for the analysis of microarray data with a focus on data quality of custom-designed microarrays. The package has been developed for the statistical and bioinformatical analysis of the custom cDNA microarray IronChip, but can be easily adapted for other cDNA or oligonucleotide-based designed microarray platforms. ICEP uses decision tree-based algorithms to assign quality flags and performs robust analysis based on chip design properties regarding multiple repetitions, ratio cut-off, background and negative controls (Vainshtein Y, et al., 2010).
Cognition refers to the ability to of animals to acquire, process, store and use vital information from the environment. Cognitive processes are necessary to predict the future and reduce the uncertainty of the ever-changing environment. Classically, research on animal cognition focuses on decisive cognitive tests to determine the capacity of a species by the testing the ability of a few individuals. This approach views variability between these tested key individuals as unwanted noise and is thus often neglected. However, inter-individual variability provides important insights to behavioral plasticity, cognitive specialization and brain modularity. Honey bees Apis mellifera are a robust and traditional model for the study of learning, memory and cognition due to their impressive capabilities and rich behavioral repertoire. In this thesis I have applied a novel view on the learning abilities of honey bees by looking explicitly at individual differences in a variety of learning tasks. Are some individual bees consistently smarter than some of her sisters? If so, will a smart individual always perform good independent of the time, the context and the cognitive requirements or do bees show distinct isolated ‘cognitive modules’?
My thesis presents the first comprehensive investigation of consistent individual differences in the cognitive abilities of honey bees. To speak of an individual as behaving consistently, a crucial step is to test the individual multiple times to examine the repeatability of a behavior. I show that free-flying bees remain consistent in a visual discrimination task for three consecutive days. Successively, I explored individual consistency in cognitive proficiency across tasks involving different sensory modalities, contexts and cognitive requirements. I found that free-flying bees show a cognitive specialization between visual and olfactory learning but remained consistent across a simple discrimination task and a complex concept learning task. I wished to further explore individual consistency with respect to tasks of different cognitive complexity, a question that has never been tackled before in an insect. I thus performed a series of four experiments using either visual or olfactory stimuli and a different training context (free-flying and restrained) and tested bees in a discrimination task, reversal learning and negative patterning. Intriguingly, across all these experiments I evidenced the same results: The bees’ performances were consistent across the discrimination task and reversal learning and negative patterning respectively. No association was evidenced between reversal learning and negative patterning. After establishing the existence of consistent individual differences in the cognitive proficiency of honey bees I wished to determine factors which could underlie these differences. Since genetic components are known to underlie inter-individual variability in learning abilities, I studied the effects of genetics on consistency in cognitive proficiency by contrasting bees originating from either from a hive with a single patriline (low genetic diversity) or with multiple patrilines (high genetic diversity). These two groups of bees showed differences in the patterns of individually correlated performances, indicating a genetic component accounts for consistent cognitive individuality. Another major factor underlying variability in learning performances is the individual responsiveness to sucrose solution and to visual stimuli, as evidenced by many studies on restrained bees showing a positive correlation between responsiveness to task relevant stimuli and learning performances. I thus tested whether these relationships between sucrose/visual responsiveness and learning performances are applicable for free-flying bees. Free-flying bees were again subjected to reversal learning and negative patterning and subsequently tested in the laboratory for their responsiveness to sucrose and to light. There was no evidence of a positive relationship between sucrose/visual responsiveness and neither performances of free-flying bees in an elemental discrimination, reversal learning and negative patterning. These findings indicate that relationships established between responsiveness to task relevant stimuli and learning proficiency established in the laboratory with restrained bees might not hold true for a completely different behavioral context i.e. for free-flying bees in their natural environment.
These results show that the honey bee is an excellent insect model to study consistency in cognitive proficiency and to identify the underlying factors. I mainly discuss the results with respect to the question of brain modularity in insects and the adaptive significance of individuality in cognitive abilities for honey bee colonies. I also provide a proposition of research questions which tie in this theme of consistent cognitive proficiency and could provide fruitful areas for future research.
Division of labor represents a major advantage of social insect communities that accounts for their enormous ecological success. In colonies of the honeybee, Apis mellifera, division of labor comprises different tasks of fertile queens and drones (males) and, in general, sterile female workers. Division of labor also occurs among workers in form of an age-related polyethism. This helps them to deal with the great variety of tasks within the colony. After adult eclosion, workers spend around three weeks with various duties inside the hive such as tending the brood or cleaning and building cells. After this period workers switch to outdoor tasks and become foragers collecting nectar, pollen and water. With this behavioral transition, workers face tremendous changes in their sensory environment. In particular, visual sensory stimuli become important, but also the olfactory world changes. Foragers have to perform a completely new behavioral repertoire ranging from long distance navigation based on landmark orientation and polarized-skylight information to learning and memory tasks associated with finding profitable food sources. However, behavioral maturation is not a purely age-related internal program associated with a change, for example, in juvenile hormone titers. External factors such as primer pheromones like the brood pheromone or queen mandibular pheromone can modulate the timing of this transition. In this way colonies are able to flexibly adjust their work force distribution between indoor and outdoor tasks depending on the actual needs of the colony. Besides certain physiological changes, mainly affecting glandular tissue, the transition from indoor to outdoor tasks requires significant adaptations in sensory and higher-order integration centers of the brain.
The mushroom bodies integrate olfactory, visual, gustatory and mechanosensory information. Furthermore, they play important roles in learning and memory processes. It is therefore not surprising that the mushroom bodies, in particular their main input region, the calyx, undergo volumetric neuronal plasticity. Similar to behavioral maturation, plastic changes of the mushroom bodies are associated with age, but are also to be affected by modulating factors such as task and experience.
In my thesis, I analyzed in detail the neuronal processes underlying volumetric plasticity in the mushroom body. Immunohistochemical labeling of synaptic proteins combined with quantitative 3D confocal imaging revealed that the volume increase of the mushroom body calyx is largely caused by the growth of the Kenyon cell dendritic network. This outgrowth is accompanied by changes in the synaptic architecture of the mushroom body calyx, which is organized in a distinct pattern of synaptic complexes, so called microglomeruli. During the first week of natural adult maturation microglomeruli remain constant in total number. With subsequent behavioral transition from indoor duties to foraging, microglomeruli are pruned while the Kenyon cell dendritic network is still growing. As a result of these processes, the mushroom body calyx neuropil volume enlarges while the total number of microgloumeruli becomes reduced in foragers compared to indoor workers. In the visual subcompartments (calyx collar) this process is induced by visual sensory stimuli as the beginning of pruning correlates with the time window when workers start their first orientation flights. The high level of analysis of cellular and subcellular process underlying structural plasticity of the mushroom body calyx during natural maturation will serve as a framework for future investigations of behavioral plasticity in the honeybee.
The transition to foraging is not purely age-dependent, but gets modulated, for example, by the presence of foragers. Ethyl oleate, a primer pheromone that is present only in foragers, was shown to delay the onset of foraging in nurse bees. Using artificial application of additional ethyl oleate in triple cohort colonies, I tested whether it directly affects adult neuronal plasticity in the visual input region of the mushroom body calyx. As the pheromonal treatment failed to induce a clear behavioral phenotype (delayed onset of foraging) it was not possible to show a direct link between the exposure to additional ethyl oleate and neuronal plasticity in mushroom body calyx. However, the general results on synaptic maturation confirmed my data of natural maturation processes in the mushroom body calyx.
Given the result that dendritic plasticity is a major contributor to neuronal plasticity in the mushroom body calyx associated with division of labor, the question arose which proteins could be involved in mediating these effects. Calcium/calmodulin-dependent protein kinase II (CaMKII) especially in mammals, but also in insects (Drosophila, Cockroach), was shown to be involved in facilitating learning and memory processes like long-term synaptic potentiation. In addition to presynaptic effects, the protein was also revealed to directly interact with cytoskeleton elements in the postsynapse. It therefore is a likely candidate to mediate structural synaptic plasticity. As part of my thesis, the presence and distribution of CaMKII was analyzed, and the results showed that the protein is highly concentrated in a distinct subpopulation of the mushroom body intrinsic neurons, the noncompact Kenyon cells. The dendritic network of this population arborizes in two calyx subregions: one receiving mainly olfactory input – the lip – and the collar receiving visual input. This distribution pattern did not change with age or task. The high concentration of CaMKII in dendritic spines and its overlap with f-actin indicates that CaMKII could be a key player inducing structural neuronal plasticity associated with learning and memory formation and/or behavioral transitions related to division of labor. Interestingly CaMKII immunoreactivity was absent in the basal ring, another subregion of the mushroom body calyx formed almost exclusively by the inner compact Kenyon cells and known to receive combined visual and olfactory input. This indicates differences of this mushroom body subregion regarding the molecular mechanisms controlling plastic changes in corresponding Kenyon cells.
How is timing of behavioral and neuronal plasticity regulated? The primer pheromone ethyl oleate was found in high concentrations on foragers and was shown to influence behavioral maturation by delaying the onset of foraging when artificially applied in elevated concentrations. But how is ethyl oleate transferred and how does it shift the work force distribution between indoor and outdoor tasks? Previous work showed that ethyl oleate concentrations are highest in the honeycrop of foragers and suggested that it is transferred and communicated inside the colony via trophallaxis. The results of this thesis however clearly show, that ethyl oleate was not present inside the honey crop or the regurgitate, but rather in the surrounding tissue of the honey crop. As additionally the second highest concentration of ethyl oleate was measured on the surface of the cuticle of forgers, trophallaxis was ruled out as a mode of transmission. Neurophysiological measurements at the level of the antennae (electroantennogram recordings) and the first olfactory neuropil (calcium imaging of activity in the antennal lobe) revealed that the primer pheromone ethyl oleate is received and processed as an olfactory stimulus. Appetitive olfactory conditioning using the proboscis extension response as a behavioral paradigm showed that ethyl oleate can be associated with a sugar reward. This indicates that workers are able to perceive, learn and memorize the presence of this pheromone. As ethyl oleate had to be presented by a heated stimulation device at close range, it can be concluded that this primer pheromone acts via close range/contact chemoreception through the olfactory system. This is also supported by previous behavioral observations.
Taken together, the findings presented in this thesis revealed structural changes in the synaptic architecture of the mushroom body calyx associated with division of labor. For the primer pheromone ethyl oleate, which modulates the transition from nursing to foraging, the results clearly showed that it is received via the olfactory system and presumably acts via this pathway. However, manipulation experiments did not indicate a direct effect of ethyl oleate on synaptic plasticity. At the molecular level, CaMKII is a prime candidate to mediate structural synaptic plasticity in the mushroom body calyx. Future combined structural and functional experiments are needed to finally link the activity of primer pheromones like ethyl oleate to the molecular pathways mediating behavioral and synaptic plasticity associated with division of labor in Apis mellifera. The here identified underlying processes will serve as excellent models for a general understanding of fundamental mechanisms promoting behavioral plasticity.
Past experience contributes to behavioural organization mainly via learning: Animals learn otherwise ordinary cues as predictors for biologically significant events. This thesis studies such predictive, associative learning, using the fruit fly Drosophila melanogaster. I ask two main questions, which complement each other: One deals with the processing of those cues that are to be learned as predictors for an important event; the other one deals with the processing of the important event itself, which is to be predicted. Do fruit flies learn about combinations of olfactory and visual cues? I probe larval as well as adult fruit flies for the learning about combinations of olfactory and visual cues, using a so called ‘biconditional discrimination’ task: During training, one odour is paired with reinforcement only in light, but not in darkness; the other odour in turn is reinforced only in darkness, but not in light. Thus, neither the odours nor the visual conditions alone predict reinforcement, only combinations of both do. I find no evidence that either larval or adult fruit flies were to solve such task, speaking against a cross-talk between olfactory and visual modalities. Previous studies however suggest such cross-talk. To reconcile these results, I suggest classifying different kinds of interaction between sensory modalities, according to their site along the sensory-motor continuum: I consider an interaction ‘truly’ cross-modal, if it is between the specific features of the stimuli. I consider an interaction ’amodal’ if it instead engages the behavioural tendencies or ‘values’ elicited by each stimulus. Such reasoning brings me to conclude that different behavioural tasks require different kinds of interaction between sensory modalities; whether a given kind of interaction will be found depends on the neuronal infrastructure, which is a function of the species and the developmental stage. Predictive learning of pain-relief in fruit flies Fruit flies build two opposing kinds of memory, based on an experience with electric shock: Those odours that precede shock during training are learned as predictors for punishment and are subsequently avoided; those odours that follow shock during training on the other hand are learned as signals for relief and are subsequently approached. I focus on such relief learning. I start with a detailed parametric analysis of relief learning, testing for reproducibility as well as effects of gender, repetition of training, odour identity, odour concentration and shock intensity. I also characterize how relief memories, once formed, decay. In addition, concerning the psychological mechanisms of relief learning, first, I show that relief learning establishes genuinely associative conditioned approach behaviour and second, I report that it is most likely not mediated by context associations. These results enable the following neurobiological analysis of relief learning; further, they will form in the future the basis for a mathematical model; finally, they will guide the researchers aiming at uncovering relief learning in other experimental systems. Next, I embark upon neurogenetic analysis of relief learning. First, I report that fruit flies mutant for the so called white gene build overall more ‘negative’ memories about an experience with electric shock. That is, in the white mutants, learning about the painful onset of shock is enhanced, whereas learning about the relieving offset of shock is diminished. As they are coherently affected, these two kinds of learning should be in a balance. The molecular mechanism of the effect of white on this balance remains unresolved. Finally, as a first step towards a neuronal circuit analysis of relief learning, I compare it to reward learning and punishment learning. I find that relief learning is distinct from both in terms of the requirement for biogenic amine signaling: Reward and punishment are respectively signalled by octopamine and dopamine, for relief learning, either of these seem dispensible. Further, I find no evidence for roles for two other biogenic amines, tyramine and serotonin in relief learning. Based on these findings I give directions for further research.
Bispecific T cell engager (BiTE) display a novel design among the class of bispecific antibodies and hold great promise to fight diverse cancers. BiTE molecules consist of two different binding entities derived from two human IgG antibodies connected by a short peptide linker. Their binding arms are directed against the CD3e chain of the T cell receptor on T cells and against an antigen that is specific for (e.g., CD19 for lymphoma in MT103) or over-expressed on (e.g., EpCAM for epithelial cancer in MT110) tumor cells. Without requirement for pre- or co-stimulation, BiTE molecules efficiently redirect CD3+ T cells towards tumor cells expressing the relevant target antigen. Only a BiTE molecule simultaneously bound to both tumor cell and T cell activates the T cell to exert its cytolytic function resulting in tumor cell death. In T cells stimulated with both BiTE and target cells, elevated levels of caspase activation and increased expression of cytotoxic and signaling proteins are observed. These include cytolytic proteins granzyme B and perforin, activation markers CD69 and CD25 and adhesion molecules CD2 and LFA-1. Activated T cells secrete the usual mix of cytokines, among them pro-inflammatory cytokines IFN-g and TNF-a. The membrane of tumor cells expressing the relevant target antigen is perforated during the attack of BiTE-stimulated effector cells as can be concluded from adenylate kinase release from the cytosol of tumor cells. Ca2+-chelator EGTA completely blocked BiTE-mediated activation of caspases and tumor cell lysis. As perforin is strictly Ca2+-dependent, a major role for this pore-forming protein is assumed for the elimination of tumor cells via BiTE-stimulated T cells. Granzyme B and caspases are main players in BiTE-mediated elimination of tumor cells. Inhibitors of granzyme B or caspases reduce or block, respectively the activation of caspases. However, other signals of apoptosis (cleavage of PARP and fragmentation of DNA) were only reduced by granzyme B inhibitor or caspase inhibitor. Most interestingly, the lytic capacity of BiTE molecules was not impaired by granzyme B inhibitor or caspase inhibitor. It seems that there is no requirement for granzyme B and caspases to be present simultaneously. Instead the data presented provide evidence that they can be replaced one at a time by related proteins. Pre-incubation of effector cells with the glucocorticoids dexamethasone or methylprednisolone resulted in markedly decreased secretion of cytokines by T cells yet only a small reduction in the expression of activation markers and adhesion molecules on T cells and specific lysis of tumor cells upon BiTE stimulation. Soluble factors secreted in an undirected manner by BiTE-stimulated T cells do not mediate tumor cell death by themselves. Bystander cells negative for the antigen that is recognized by the BiTE molecule will not be compromised by BiTE activity. The cytokine TGF-b reduced proliferation as well as granzyme B and perforin expression of BiTE-stimulated T cells. Redirected lysis by BiTE-activated T cells was also decreased under the influence of TGF-b, however lysis was still performed at a reasonable rate (72 % of target cells). TGF-b does not exert a deleterious effect on lytic potential of BiTE-stimulated T cells. The minimal anticipated biological effect level for the BiTE MT110 was determined for the entry of MT110 into phase I clinical studies. Experiments analyzing redirected lysis of tumor cells, expression of activation marker CD25 and cytokine release by T cells revealed a MABEL value of 50 pg/ml for MT110.
Cellular responses to outer stimuli are the basis for all biological processes. Signal integration is achieved by protein cascades, recognizing and processing molecules from the environment. Factors released by pathogens or inflammation usually induce an inflammatory response, a signal often transduced by Tumour Necrosis Factor alpha (TNF). TNFα receptors TNF-R1 and TNF-R2 can in turn lead to apoptosis or proliferation via NF-B. These processes are closely regulated by membrane compartimentalization, protein interactions and trafficking. Fluorescence microscopy offers a reliable and non-invasive method to probe these cellular events. However, some processes on a native membrane are not resolvable, as they are well below the diffraction limit of microscopy. The recent development of super-resolution fluorescence microscopy methods enables the observation of these cellular players well below this limit: by localizing, tracking and counting molecules with high spatial and temporal resolution, these new fluorescence microscopy methods offer a previously unknown insight into protein interactions at the near-molecular level. Direct stochastic optical reconstruction microscopy (dSTORM) utilizes the reversible, stochastic blinking events of small commercially available fluorescent dyes, while photoactivated localization microscopy (PALM) utilizes phototransformation of genetically encoded fluorescent proteins. By photoactivating only a small fraction of the present fluorophores in each observation interval, single emitters can be localized with high precision and a super-resolved image can be reconstructed. Quantum Dot Triexciton imaging (QDTI) utilizes the three-photon absorption (triexcitonic) properties of quantum dots (QD) and to achieve a twofold resolution increase using conventional confocal microscopes. In this thesis, experimental approaches were implemented to achieve super-resolution microscopy in fixed and live-cells to study the spatial and temporal dynamics of TNF and other cellular signaling events. We introduce QDTI to study the three-dimensional cellular distribution of biological targets, offering an easy method to achieve resolution enhancement in combination with optical sectioning, allowing the preliminary quantification of labeled proteins. As QDs are electron dense, QDTI can be used for correlative fluorescence and transmission electron microscopy, proving the versatility of QD probes. Utilizing the phototransformation properties of fluorescent proteins, single-receptor tracking on live cells was achieved, applying the concept of single particle tracking PALM (sptPALM) to track the dynamics of a TNF-R1-tdEos chimera on the membrane. Lateral receptor dynamics can be tracked with high precision and the influences of ligand addition or lipid disruption on TNF-R1 mobility was observed. The results reveal complex receptor dynamics, implying internalization processes in response to TNFα stimulation and a role for membrane domains with reduced fluidity, so-called lipid raft domains, in TNF-R1 compartimentalization prior or post ligand induction. Comparisons with previously published FCS data show a good accordance, but stressing the increased data depth available in sptPALM experiments. Additionally, the active transport of NF-κB-tdEos fusions was observed in live neurons under chemical stimulation and/or inhibition. Contrary to phototransformable proteins that need no special buffers to exhibit photoconversion or photoactivation, dSTORM has previously been unsuitable for in vivo applications, as organic dyes relied on introducing the probes via immunostaining in concert with a reductive, oxygen-free medium for proper photoswitching behaviour. ATTO655 had been previously shown to be suitable for live-cell applications, as its switching behavior can be catalyzed by the reductive environment of the cytoplasm. By introducing the cell-permeant organic dye via a chemical tag system, a high specificity and low background was achieved. Here, the labeled histone H2B complex and thus single nucleosome movements in a live cell can be observed over long time periods and with ~20 nm resolution. Implementing these new approaches for imaging biological processes with high temporal and spatial resolution provides new insights into the dynamics and spatial heterogeneities of proteins, further elucidating their function in the organism and revealing properties that are usually only detectable in vitro.
Neuroblastoma is the most abundant, solid, extracranial tumor in early childhood and the leading cause of cancer-related childhood deaths worldwide. Patients with high-risk neuroblastoma often show MYCN-amplification and elevated levels of Aurora-A. They have a low overall survival and despite multimodal therapy options a poor therapeutic prognosis. MYCN-amplified neuroblastoma cells depend on Aurora-A functionality. Aurora-A stabilizes MYCN and prevents it from proteasomal degradation by competing with the E3 ligase SCFFBXW7. Interaction between Aurora-A and MYCN can be observed only in S phase of the cell cycle and activation of Aurora-A can be induced by MYCN in vitro. These findings suggest the existence of a profound interconnection between Aurora-A and MYCN in S phase. Nevertheless, the details remain elusive and were investigated in this study.
Fractionation experiments show that Aurora-A is recruited to chromatin in S phase in a MYCN-dependent manner. Albeit being unphosphorylated on the activating T288 residue, Aurora-A kinase activity was still present in S phase and several putative, novel targets were identified by phosphoproteomic analysis. Particularly, eight phosphosites dependent on MYCN-activated Aurora-A were identified. Additionally, phosphorylation of serine 10 on histone 3 was verified as a target of this complex in S phase. ChIP-sequencing experiments reveal that Aurora-A regulates transcription elongation as well as histone H3.3 variant incorporation in S phase. 4sU-sequencing as well as immunoblotting demonstrated that Aurora-A activity impacts splicing. PLA measurements between the transcription and replication machinery revealed that Aurora-A prevents the formation of transcription-replication conflicts, which activate of kinase ATR.
Aurora-A inhibitors are already used to treat neuroblastoma but display dose-limiting toxicity. To further improve Aurora-A based therapies, we investigated whether low doses of Aurora-A inhibitor combined with ATR inhibitor could increase the efficacy of the treatment albeit reducing toxicity. The study shows that the combination of both drugs leads to a reduction in cell growth as well as an increase in apoptosis in MYCN-amplified neuroblastoma cells, which is not observable in MYCN non-amplified neuroblastoma cells. This new approach was also tested by a collaboration partner in vivo resulting in a decrease in tumor burden, an increase in overall survival and a cure of 25% of TH-MYCN mice. These findings indicate indeed a therapeutic window for targeting MYCN-amplified neuroblastoma.
The FDA approval of targeted therapy with BRAFV600E inhibitors like vemurafenib and dabrafenib in 2011 has been the first major breakthrough in the treatment of metastatic melanoma since almost three decades. Despite increased progression free survival and elevated overall survival rates, complete responses are scarce due to resistance development approximately six months after the initial drug treatment. It was previously shown in our group that melanoma cells under vemurafenib pressure in vitro and in vivo exhibit features of drug-induced senescence. It is known that some cell types, which undergo this cell cycle arrest, develop a so-called senescence associated secretome and it has been reported that melanoma cell lines also upregulate the expression of different factors after senescence induction. This work describes the effect of the vemurafenib-induced secretome on cells. Conditioned supernatants of vemurafenib-treated cells increased the viability of naive fibroblast and melanoma cell lines. RNA analysis of donor melanoma cells revealed elevated transcriptional levels of FGF1, MMP2 and CCL2 in the majority of tested cell lines under vemurafenib pressure, and I could confirm the secretion of functional proteins. Similar observations were also done after MEK inhibition as well as in a combined BRAF and MEK inhibitor treatment situation. Interestingly, the transcription of other FGF ligands (FGF7, FGF17) was also elevated after MEK/ERK1/2 inhibition. As FGF receptors are therapeutically relevant, I focused on the analysis of FGFR-dependent processes in response to BRAF inhibition. Recombinant FGF1 increased the survival rate of melanoma cells under vemurafenib pressure, while inhibition of the FGFR pathway diminished the viability of melanoma cells in combination with vemurafenib and blocked the stimulatory effect of vemurafenib conditioned medium. The BRAF inhibitor induced secretome is regulated by active PI3K/AKT signaling, and the joint inhibition of mTor and BRAFV600E led to decreased senescence induction and to a diminished induction of the secretome-associated genes. In parallel, combined inhibition of MEK and PI3K also drastically decreased mRNA levels of the relevant secretome components back to basal levels.
In summary, I could demonstrate that BRAF inhibitor treated melanoma cell lines acquire a specific PI3K/AKT dependent secretome, which is characterized by FGF1, CCL2 and MMP2. This secretome is able to stimulate other cells such as naive melanoma cells and fibroblasts and contributes to a better survival under drug pressure. These data are therapeutically highly relevant, as they imply the usage of novel drug combinations, especially specific FGFR inhibitors, with BRAF inhibitors in the clinic.
My dissertation comprises three studies: (1) an assessment of honey bee colony losses in the USA between 2014 and 2015, (2) an exploration of the potential of reclaimed sand mines as bee habitat, and (3) an evaluation of native and non-native pollinator friendly plants in regard to their attraction to bees. While the first study focuses on honey bees, the latter two studies primarily take wild bees or entire bee communities in focus.
The study on honey bee colony losses was conducted within the framework of the Bee Informed Partnership (BIP, beeinformed.org) and aligns with the annual colony loss surveys which have been conducted in the USA since the winter of 2006/2007. It was the fourth year for which summer and annual losses were calculated in addition to winter losses. Among participants, backyard beekeepers were the largest group (n = 5690), although sideline (n = 169) and commercial (n = 78) beekeepers managed the majority (91.7 %) of the 414 267 surveyed colonies. Overall, 15.1 % of the estimated 2.74 million managed colonies in the USA were included in the study. Total honey bee colony losses (based on the entirety of included colonies) were higher in summer (25.3 %) than in winter (22.3 %) and amounted to 40.6 % for the entire 2014/2015 beekeeping year. Average colony losses per beekeeper or operation were higher in winter (43.7 %) than in summer (14.7 %) and amounted to 49 % for the entire 2014/2015 beekeeping year. Due to the dominance of backyard beekeepers among participants, average losses per operation (or unweighted loss) stronger reflected this smaller type of beekeeper. Backyard beekeepers mainly named colony management issues (e.g., starvation, weak colony in the fall) as causes for mortality, while sideline and commercial beekeepers stronger emphasized parasites or factors outside their control (e.g., varroa, nosema, queen failure).
The second study took place at reclaimed sand mines. Sand mines represent anthropogenically impacted habitats found worldwide, which bear potential for bee conservation. Although floral resources can be limited at these habitats, vegetation free patches of open sandy soils and embankments may offer good nesting possibilities for sand restricted and other bees. We compared bee communities as found in three reclaimed sand mines and at adjacent roadside meadows in Maryland, USA, over two years. Both sand mines and roadsides hosted diverse bee communities with 111 and 88 bee species, respectively. Bee abundances as well as richness and Shannon diversity of bee species were higher in sand mines than at roadsides and negatively correlated with the percentage of vegetational ground cover. Species composition also differed significantly between habitats. Sand mines hosted a higher proportion of ground nesters, more uncommon and more ‘sand loving’ bees similar to natural sandy areas of Maryland. Despite the destruction of the original pre-mining habitat, sand mines thus appear to represent a unique habitat for wild bees, particularly when natural vegetation and open sand spots are encouraged. Considering habitat loss, the lack of natural disturbance regimes, and ongoing declines of wild bees, sand mines could add promising opportunities for bee conservation which has hitherto mainly focused on agricultural and urban habitats.
The third study was an experimental field study on pollinator friendly plants. Bees rely on the pollen and nectar of plants as their food source. Therefore, pollinator friendly plantings are often used for habitat enhancements in bee conservation. Non-native pollinator friendly plants may aid in bee conservation efforts, but have not been tested and compared with native pollinator friendly plants in a common garden experiment. In this study, we seeded mixes of 20 native and 20 non-native pollinator friendly plants in two separate plots at three sites in Maryland, USA. For two years, we recorded flower visitors to the plants throughout the blooming period and additionally sampled bees with pan traps. A total of 3744 bees (120 species) were sampled in the study. Of these, 1708 bees (72 species) were hand netted directly from flowers for comparisons between native and non-native plants. Depending on the season, bee abundance and species richness was either similar or lower (early season and for richness also late season) at native plots compared to non-native plots. Additionally, the overall bee community composition differed significantly between native and non-native plots. Furthermore, native plants were associated with more specialized plant-bee visitation networks compared to non-native plants. In general, visitation networks were more specialized in the early season than the later seasons. Four species (Bombus impatiens, Halictus poeyi/ligatus, Lasioglossum pilosum, and Xylocopa virginica) out of the five most abundant bee species (also including Apis mellifera) foraged more specialized on native than non-native plants. Our study showed that non-native plants were well accepted by a diverse bee community and had a similar to higher attraction for bees compared to native plants. However, we also demonstrated alterations in foraging behavior, bee community assemblage, and visitation networks. As long as used with caution, non-native plants can be a useful addition to native pollinator friendly plantings. This study gives a first example of a direct comparison between native and non-native pollinator friendly plants.
The Western Honeybee (Apis mellifera) is among the most versatile species in the world. Its adaptability is rooted in thousands of the differently specialized individuals acting jointly together. Thus, bees that are able to handle a certain task or condition well can back up other individuals less capable to do so on the colony level. Vice versa, the latter individuals might perform better in other situations. This evolutionary recipe for success ensures the survival of colonies despite challenging habitat conditions. In this context, the ectoparasitic mite Varroa destructor reflects the most pronounced biotic challenge to honeybees worldwide. Without proper treatment, infested colonies rapidly dwindle and ultimately die. Nevertheless, resistance behaviours against this parasite have evolved in some populations through natural selection, enabling colonies to survive untreated. In this, different behaviours appear to be adapted to the respective habitat conditions and may complement each other. Yet, the why and how of this behavioural response to the mite remains largely unknown. My thesis focuses on the biological background of Varroa-resistance traits in honeybees and presents important findings for the comprehension of this complex host-parasite interaction. Based on this, I draw implications for both, applied bee breeding and scientific investigations in the field of Varroa-resistance. Specifically, I focus on two traits commonly found in resistant and, to a lower degree, also mite-susceptible colonies: decreased mite reproduction and the uncapping and subsequent recapping of sealed brood cells. Examining failures in the reproductive success of mites as a primary mechanism of Varroa-resistance, I was able to link them to specific bee behaviours and external factors. Since mite reproduction and the brood rearing of bees are inevitably connected, I first investigated the effects of brood interruption on the reproductive success of mites. Brood interruption decreased the reproductive success of mites both immediately and in the long term. By examining the causes of reproductive failure, I could show that this was mainly due to an increased share of infertile mites. Furthermore, I proved that interruption in brood rearing significantly increased the expression of recapping behaviour. These findings consequently showed a dynamic modulation of mite reproduction and recapping, as well as a direct effect of brood interruption on both traits. To further elucidate the plasticity in the expression of both traits, I studied mite reproduction, recapping behaviour and infestation levels over the course of three years. The resulting extensive dataset unveiled a significant seasonal variation in mite reproduction and recapping. In addition, I show that recapping decreases the reproductive success of mites by increasing delayed developing female offspring and cells lacking male offspring. By establishing a novel picture-based brood investigation method, I could furthermore show that both the removal of brood cells and recapping activity specifically target brood ages in which mite offspring would be expected. Recapping, however, did not cause infertility of mites. Considering the findings of my first study, this points towards complementary mechanisms.
This underlines the importance of increased recapping behaviour and decreased mite reproduction as resistance traits, while at the same time emphasising the challenges of reliable data acquisition. To pave the way for a practical application of these findings in breeding, we then investigated the heritability (i.e., the share of genotypic variation on the observed phenotypic variation) of the accounted traits. By elaborating comparable test protocols and compiling data from over 4,000 colonies, we could, for the first time, demonstrate that recapping of infested cells and decreased reproductive success of mites are heritable (and thus selectable) traits in managed honeybee populations.
My thesis proves the importance of recapping and decreased mite reproduction as resistance traits and therefore valuable goals for breeding efforts. In this regard, I shed light on the underlying mechanisms of both traits, and present clear evidence for their interaction and heritability.
Habitat fragmentation and destruction due to anthropogenic land use are the major causes of the increasing extinction risk of many species and have a detrimental impact on animal populations in numerous ways. The long-term survival and stability of spatially structured populations in fragmented landscapes largely depends on the colonisation of habitat patches and the exchange of individuals and genes between patches. The degree of inter-patch dispersal, in turn, depends on the dispersal ability of a species (i.e. the combination of physiological and morphological factors that facilitate dispersal) and the landscape structure (i.e. the nature of the landscape matrix or the spatial configuration of habitat patches). As fragmentation of landscapes is increasing and the number of species is continuously declining, a thorough understanding of the causes and consequences of dispersal is essential for managing natural populations and developing effective conservation strategies.
In the context of animal dispersal, movement behaviour is intensively investigated with capture-mark-recapture studies. For the analysis of such experiments, the influence of marking technique, handling and translocation of marked animals on movement pattern is of crucial importance since it may mask the effects of the main research question. Chapter 2 of this thesis presents a capture-mark-recapture study investigating the effect of translocation on the movement behaviour of the blue-winged grasshopper Oedipoda caerulescens. Transferring individuals of this grasshopper species to suitable but unfamilliar sites has a significant influence on their movement behaviour. Translocated individuals moved longer distances, showed smaller daily turning angles, and thus their movements were more directed than those of resident individuals. The effect of translocation was most pronounced on the first day of the experiment, but may persist for longer. On average, daily moved distances of translocated individuals were about 50 % longer than that of resident individuals because they have been transferred to an unfamiliar habitat patch. Depending on experiment duration, this leads to considerable differences in net displacement between translocated and resident individuals. In summary, the results presented in chapter 2 clearly point out that translocation effects should not be disregarded in future studies on arthropod movement, respectively dispersal. Studies not controlling for possible translocation effects may result in false predictions of dispersal behaviour, habitat detection capability or habitat preferences.
Beside direct field observations via capture-mark-recapture methods, genetic markers can be used to investigate animal dispersal. Chapter 3 presents data on the genetic structure of populations of Metrioptera bicolor, a wing-dimorphic bush cricket, in a spatially structured landscape with patches of suitable habitat distributed within a diverse matrix of different habitat types. Using microsatellite markers, the effects of geographic distance and different matrix types on the genetic differentiation among 24 local populations was assessed. The results of this study clearly indicate that for M. bicolor the isolation of local populations severely depends on the type of surrounding matrix. The presence of forest and a river running through the study area was positively correlated with the extent of genetic differentiation between populations. This indicates that both matrix types severely impede gene flow and the exchange of individuals between local populations of this bush cricket. In addition, for a subsample of populations which were separated only by arable land or settlements, a significant positive correlation between pairwise genetic and geographic distances exists. For the complete data set, this correlation could not be found. This is most probably due to the adverse effect of forest and river on gene flow which dominates the effect of geographic distance in the limited set of patches investigated in this study. The analyses in chapter 3 clearly emphasize the differential resistance of different habitat types on dispersal and the importance of a more detailed view on matrix ‘quality’ in metapopulation studies. Studies that focus on the specific dispersal resistance of different matrix types may provide much more detailed information on the dispersal capacity of species than a mere analysis of isolation by distance. Such information is needed to improve landscape oriented models for species conservation.
In addition to direct effects on realised dispersal (see chapter 3), landscape structure on its own is known to act as an evolutionary selection agent because it determines the costs and benefits of dispersal. Both morphological and behavioural traits of individuals and the degree to which a certain genotype responds to environmental variation have heritable components, and are therefore expected to be able to respond to selection pressures. Chapter 4 analyses the influence of patch size, patch connectivity (isolation of populations) and sand dynamics (stability of habitat) on thorax- and wing length as proxies for dispersal ability of O. caerulescens in coastal grey dunes. This study revealed clear and sex-specific effects of landscape dynamics and patch configuration on dispersal-related morphology. Males of this grasshopper species were smaller and had shorter wings if patches were larger and less connected. In addition, both sexes were larger in habitat patches with high sand dynamics compared to those in patches with lower dynamics. The investments in wing length were only larger in connected populations when sand dynamics were low, indicating that both landscape and patch-related environmental factors are of importance. These results are congruent with theoretical predictions on the evolution of dispersal in metapopulations. They add to the evidence that dispersal-related morphology varies and is selected upon in recently structured populations even at small spatial scales.
Dispersal involves different individual fitness costs like increased predation risk, energy expenditure, costs of developing dispersal-related traits, failure to find new suitable habitat as well as reproductive costs. Therefore, the decision to disperse should not be random but depend on the developmental stage or the physiological condition of an individual just as on actual environmental conditions (context-dependent dispersal, e.g. sex- and wing morph-biased dispersal). Biased dispersal is often investigated by comparing the morphology, physiology and behaviour of females and males or sedentary and dispersive individuals. Studies of biased dispersal in terms of capture-mark-recapture experiments, investigating real dispersal and not routine movements, and genetic proofs of biased dispersal are still rare for certain taxa, especially for orthopterans. However, information on biased dispersal is of great importance as for example, undetected biased dispersal may lead to false conclusions from genetic data. In chapter 5 of this thesis, a combined approach of morphological and genetic analyses was used to investigate biased dispersal of M. bicolor. The presented results not only show that macropterous individuals are predestined for dispersal due to their morphology, the genetic data also indicate that macropters are more dispersive than micropters. Furthermore, even within the group of macropterous individuals, males are supposed to be more dispersive than females. To get an idea of the flight ability of M. bicolor, the morphological data were compared with that of Locusta migratoria and Schistocerca gregaria, which are proved to be very good flyers. Based on the morphological data presented here, one can assume a good flight ability for macropters of M. bicolor, although flying individuals of this species are seldom observed in natural populations.
Biochemical and molecular characterization of an original master sex determining gene in Salmonids
(2016)
Sexual development is a fundamental and versatile process that shapes animal morphology, physiology and behavior. The underlying developmental process is composed of the sex determination and the sex differentiation. Sex determination mechanisms are extremely labile among taxa. The initial triggers of the sex determination process are often genetics called sex determining genes. These genes are expressed in the bipotential gonad and tilt the balance to a developmental program allowing the differentiation of either a testis or an ovary. Fish represent a large and fascinating vertebrate group to study both sex determination and sex differentiation mechanisms. To date, among the known sex determining genes, three gene families namely sox, dmrt and TGF-β factors govern this developmental program. As exception to this rule, sdY “sexually dimorphic on the Y” does not belong to one of these families as it comes from the duplication / evolution of an ancestor gene related to immunity, i.e., the interferon related factor 9, irf9. sdY is the master sex determining gene in salmonids, a group of fishes that include species such as rainbow trout and Atlantic salmon. The present study was aimed to firstly characterize the features of SdY protein. Results indicate that SdY is predominantly localized in the cytoplasm tested in various fish and mammalian cell lines and confirmed by different methods. Predictive in silico analysis revealed that SdY is composed of a β-sandwich core surrounded by three α-helices as well specific characteristics conferring a putative protein-protein interaction site. Secondly, the study was aimed to understand how SdY could trigger testicular differentiation. SdY is a truncated divergent version of Irf9 that has a conserved protein-protein domain but lost the DNA interaction domain of its ancestor gene. It was then hypothesized that SdY could initiate testicular differentiation by protein-protein interactions. To evaluate this we first conducted a yeast-two-hybrid screen that revealed a high proportion of transcription factors including fox proteins. Using various biochemical and cellular methods we confirm an interaction between SdY and Foxl2, a major transcription factor involved in ovarian differentiation and identity maintenance. Interestingly, the interaction of SdY with Foxl2 leads to nuclear translocation of SdY from the cytoplasm. Furthermore, this SdY translocation mechanism was found to be specific to fish Foxl2 and to a lesser extend Foxl3 and not other Fox proteins or mammalian FoxL2. In addition, we found that this interaction allows the stabilization of SdY and prevents its degradation. Finally, to better decipher SdY action we used as a model a mutated version of SdY that was identified in XY females of Chinook salmon natural population. Results show that this mutation induces a local conformation defect obviously leading to a misfolded protein and a quick degradation. Moreover, the mutated version compromised the interaction with Foxl2 defining a minimal threshold to induce testicular differentiation. Altogether results from my thesis propose that SdY would trigger testicular differentiation in salmonids by preventing Foxl2 to promote ovarian differentiation. Further research should be now carried out on how this interaction of SdY and Foxl2 acts in-vivo.
GAS2L3 was identified recently as a target gene of the DREAM complex (Reichert et al., 2010; Wolter et al., 2012). It was shown that GAS2L3 is expressed in a cell cycle specific manner and that depletion of the protein leads to defects in cytokinesis and genomic instability (Wolter et al., 2012).
Major aim of this thesis was, to further characterize the biochemical properties and physiological function of GAS2L3.
By in vitro co-sedimentation and bundling assays, GAS2L3 was identified as a cytoskeleton associated protein which bundles, binds and crosslinks F-actin and MTs. GST pulldown assays and co-immunoprecipitation experiments revealed that GAS2L3 interacts in vitro and in vivo with the chromosomal passenger complex (CPC), a very important regulator of mitosis and cytokinesis, and that the interaction is mediated by the GAR domain of GAS2L3 and the C-terminal part of Borealin and the N-terminal part of Survivin. Kinase assays showed that GAS2L3 is not a substrate of the CPC but is strongly phosphorylated by CDK1 in vitro. Depletion of GAS2L3 by shRNA influenced protein stability and activity of the CPC. However pharmacological studies showed that the decreased CPC activity is not responsible for the observed cytokinesis defects upon GAS2L3 depletion. Immunofluorescence experiments revealed that GAS2L3 is localized to the constriction zone by the CPC in a GAR dependent manner and that the GAR domain is important for proper protein function.
New interacting proteins of GAS2L3 were identified by stable isotope labelling by amino acids in cell culture (SILAC) in combination with tandem affinity purification and subsequent mass spectrometrical analysis. Co-immunoprecipitation experiments further confirmed the obtained mass spectrometrical data.
To address the physiological function of GAS2L3 in vivo, a conditional and a non-conditional knockout mouse strain was established. The non-conditional mouse strain showed a highly increased mortality rate before weaning age probably due to heart failure. The physiological function of GAS2L3 in vivo as well as the exact reason for the observed heart phenotype is not known at the moment.
The Myb-MuvB (MMB) complex plays an essential role in the time-dependent transcriptional activation of mitotic genes. Recently, our laboratory identified a novel crosstalk between the MMB-complex and YAP, the transcriptional coactivator of the Hippo pathway, to coregulate a subset of mitotic genes (Pattschull et al., 2019). Several genetic studies have shown that the Hippo-YAP pathway is essential to drive cardiomyocyte proliferation during cardiac development (von Gise et al., 2012; Heallen et al., 2011; Xin et al., 2011). However, the exact mechanisms of how YAP activates proliferation of cardiomyocytes is not known. This doctoral thesis addresses the physiological role of the MMB-Hippo crosstalk within the heart and characterizes the YAP-B-MYB interaction with the overall aim to identify a potent inhibitor of YAP.
The results reported in this thesis indicate that complete loss of the MMB scaffold protein LIN9 in heart progenitor cells results in thinning of ventricular walls, reduced cardiomyocyte proliferation and early embryonic lethality. Moreover, genetic experiments using mice deficient in SAV1, a core component of the Hippo pathway, and LIN9-deficient mice revealed that the correct function of the MMB complex is critical for proliferation of cardiomyocytes due to Hippo-deficiency. Whole genome transcriptome profiling as well as genome wide binding studies identified a subset of Hippo-regulated cell cycle genes as direct targets of MMB. By proximity ligation assay (PLA), YAP and B-MYB were discovered to interact in embryonal cardiomyocytes. Biochemical approaches, such as co-immunoprecipitation assays, GST-pulldown assays, and µSPOT-based peptide arrays were employed to characterize the YAP-B-MYB interaction. Here, a PY motif within the N-terminus of B-MYB was found to directly interact with the YAP WW-domains. Consequently, the YAP WW-domains were important for the ability of YAP to drive proliferation in cardiomyocytes and to activate MMB target genes in differentiated C2C12 cells. The biochemical information obtained from the interaction studies was utilized to develop a novel competitive inhibitor of YAP called MY-COMP (Myb-YAP competition). In MY-COMP, the protein fragment of B-MYB containing the YAP binding domain is fused to a nuclear localization signal. Co-immunoprecipitation studies as well as PLA revealed that the YAP-B-MYB interaction is robustly blocked by expression of MY-COMP. Adenoviral overexpression of MY-COMP in embryonal cardiomyocytes suppressed entry into mitosis and blocked the pro-proliferative function of YAP. Strikingly, characterization of the cellular phenotype showed that ectopic expression of MY-COMP led to growth defects, nuclear abnormalities and polyploidization in HeLa cells.
Taken together, the results of this thesis reveal the mechanism of the crosstalk between the Hippo signaling pathway and the MMB complex in the heart and form the basis for interference with the oncogenic activity of the Hippo coactivator YAP.
Forests are multi-functional system, which have to fulfil different objectives at the same time. The main functions include the production of wood, storage of carbon, the promotion of biological diversity and the provision of recreational space. Yet, global forests are affected by large and intense natural disturbances, like bark beetle infestations. While natural disturbances threaten wood production and are perceived as ‘catastrophe’ diminishing recreational value, biodiversity can benefit from the disturbance-induced changes in forest structures. This trade-off poses a dilemma to managers of bark beetle affected stands, particularly in protected areas designated to both nature conservation and recreation. Forest landscapes need a sustainable management concept aligning these different objectives. In order to support this goal with scientific knowledge, the aim of this work is to analyse ecological and social effects along a gradient of different disturbance severities. In this context, I studied the effects of a disturbance severity gradient on the diversity of different taxonomic groups including vascular plants, mosses, lichens, fungi, arthropods and birds in five national parks in Central Europe. To analyse the recreational value of the landscape I conducted visitor surveys in the same study areas in which the biodiversity surveys were performed. To analyse possible psychological or demographic effects on preferences for certain disturbance intensities, an additional online survey was carried out.
There is substantial interest in the identification of genes underlying susceptibility to complex human diseases because of the potential utility of such genes in disease prediction and therapy. The complex age-related macular degeneration (AMD) is a prevalent cause of legal blindness in industrialized countries and predominantly affects the elderly population over 75 years of age. Although vision loss in AMD results from photoreceptor cell death in the central retina, the initial pathogenesis likely involves processes in the retinal pigment epithelium (RPE) (Liang and Godley, 2003). The goal of the current study was to identify and characterize genes specifically or abundantly expressed in the RPE in order to determine more comprehensively the transcriptome of the RPE. In addition, our aim was to assess the role of these genes in AMD pathogenesis. Towards this end, a bovine cDNA library enriched for RPE transcripts was constructed in-house using a PCR-based suppression subtractive hybridization (SSH) technique (Diatchenko et al., 1996, 1999), which normalizes for sequence abundance and achieves high enrichment for differentially expressed genes. CAP3 (Huang and Madan, 1999) was used to assemble the high quality sequences of all the 2379 ESTs into clusters or singletons. 1.2% of the 2379 RPE-ESTs contains vector sequences and was excluded from further analysis. 5% of the RPE-ESTs showed homology to multipe chromosomes and were not included in further assembly process. The rest of the ESTs (2245) were assembled into 175 contigs and 509 singletons, which revealed approximately 684 unique genes in the dataset. Out of the 684, 343 bovine RPE transcripts did not align to their human orthologues. A large fraction of clones were shown to include a considerable 3´untranslated regions of the gene that are not conserved between bovine and human. It is the coding regions that can be conserved between bovine and human and not the 3’ UTR (Sharma et al., 2002). Therefore, more sequencing from the cDNA library with reclustering of those 343 ESTs together with continuous blasting might reveal their human orthologoues. To handle the large volume of data that the RPE cDNA library project has generated a highly efficient and user-friendly RDBMS was designed. Using RDBMS data storage can be managed efficiently and flexibly. The RDBMS allows displaying the results in query-based form and report format with additional annotations, links and search functions. Out of the 341 known and predicted genes identified in this study, 2 were further analyzed. The RPE or/and retina specificity of these two clones were further confirmed by RT-PCR analysis in adult human tissues. Construction of a single nucleotide polymphism (SNP) map was initiated as a first step in future case/control association studies. SNP genotyping was carried out for one of these two clones (RPE01-D2, now known as RDH12). 12 SNPs were identified from direct sequencing of the 23.4-kb region, of which 5 are of high frequency. In a next step, comparison of allele frequencies between AMD patients and healthy controls is required. Completion of the expression analysis for other predicted genes identified during this study is in progress using real time RT-PCR and will provide additional candidate genes for further analyses. This study is expected to contribute to our understanding of the genetic basis of RPE function and to clarify the role of the RPE-expressed genes in the predisposition to AMD. It may also help reveal the mechanisms and pathways that are involved in the development of AMD or other retinal dystrophies.
Background: The frequency of the most observed cancer, Non Hodgkin Lymphoma (NHL), is further rising. Diffuse large B-cell lymphoma (DLBCL) is the most common of the NHLs. There are two subgroups of DLBCL with different gene expression patterns: ABC (“Activated B-like DLBCL”) and GCB (“Germinal Center B-like DLBCL”). Without therapy the patients often die within a few months, the ABC type exhibits the more aggressive behaviour. A further B-cell lymphoma is the Mantle cell lymphoma (MCL). It is rare and shows very poor prognosis. There is no cure yet. Methods: In this project these B-cell lymphomas were examined with methods from bioinformatics, to find new characteristics or undiscovered events on the molecular level. This would improve understanding and therapy of lymphomas. For this purpose we used survival, gene expression and comparative genomic hybridization (CGH) data. In some clinical studies, you get large data sets, from which one can reveal yet unknown trends. Results (MCL): The published proliferation signature correlates directly with survival. Exploratory analyses of gene expression and CGH data of MCL samples (n=71) revealed a valid grouping according to the median of the proliferation signature values. The second axis of correspondence analysis distinguishes between good and bad prognosis. Statistical testing (moderate t-test, Wilcoxon rank-sum test) showed differences in the cell cycle and delivered a network of kinases, which are responsible for the difference between good and bad prognosis. A set of seven genes (CENPE, CDC20, HPRT1, CDC2, BIRC5, ASPM, IGF2BP3) predicted, similarly well, survival patterns as proliferation signature with 20 genes. Furthermore, some bands could be associated with prognosis in the explorative analysis (chromosome 9: 9p24, 9p23, 9p22, 9p21, 9q33 and 9q34). Results (DLBCL): New normalization of gene expression data of DLBCL patients revealed better separation of risk groups by the 2002 published signature based predictor. We could achieve, similarly well, a separation with six genes. Exploratory analysis of gene expression data could confirm the subgroups ABC and GCB. We recognized a clear difference in early and late cell cycle stages of cell cycle genes, which can separate ABC and GCB. Classical lymphoma and best separating genes form a network, which can classify and explain the ABC and GCB groups. Together with gene sets which identify ABC and GCB we get a network, which can classify and explain the ABC and GCB groups (ASB13, BCL2, BCL6, BCL7A, CCND2, COL3A1, CTGF, FN1, FOXP1, IGHM, IRF4, LMO2, LRMP, MAPK10, MME, MYBL1, NEIL1 and SH3BP5; Altogether these findings are useful for diagnosis, prognosis and therapy (cytostatic drugs).
Computer Science approaches (software, database, management systems) are powerful tools to boost research. Here they are applied to metabolic modelling in infections as well as health care management. Starting from a comparative analysis this thesis shows own steps and examples towards improvement in metabolic modelling software and health data management. In section 2, new experimental data on metabolites and enzymes induce high interest in metabolic modelling including metabolic flux calculations. Data analysis of metabolites, calculation of metabolic fluxes, pathways and their condition-specific strengths is now possible by an advantageous combination of specific software. How can available software for metabolic modelling be improved from a computational point of view? A number of available and well established software solutions are first discussed individually. This includes information on software origin, capabilities, development and used methodology. Performance information is obtained for the compared software using provided example data sets. A feature based comparison shows limitations and advantages of the compared software for specific tasks in metabolic modeling. Often found limitations include third party software dependence, no comprehensive database management and no standard format for data input and output. Graphical visualization can be improved for complex data visualization and at the web based graphical interface. Other areas for development are platform independency, product line architecture, data standardization, open source movement and new methodologies. The comparison shows clearly space for further software application development including steps towards an optimal user friendly graphical user interface, platform independence, database management system and third party independence especially in the case of desktop applications. The found limitations are not limited to the software compared and are of course also actively tackled in some of the most recent developments. Other improvements should aim at generality and standard data input formats, improved visualization of not only the input data set but also analyzed results. We hope, with the implementation of these suggestions, metabolic software applications will become more professional, cheap, reliable and attractive for the user. Nevertheless, keeping these inherent limitations in mind, we are confident that the tools compared can be recommended for metabolic modeling for instance to model metabolic fluxes in bacteria or metabolic data analysis and studies in infection biology. ...
The synaptic cleft is of central importance for synaptic transmission, neuronal plasticity and memory and thus well studied in neurobiology. To target proteins of interest with high specificity and strong signal to noise conventional immunohistochemistry relies on the use of fluorescently labeled antibodies. However, investigations on synaptic receptors remain challenging due to the defined size of the synaptic cleft of ~20 nm between opposing pre- and postsynaptic membranes. At this limited space, antibodies bear unwanted side effects such as crosslinking, accessibility issues and a considerable linkage error between fluorophore and target of ~10 nm. With recent single molecule localization microscopy (SMLM) methods enabling localization precisions of a few nanometers, the demand for labeling approaches with minimal linkage error and reliable recognition of the target molecules rises.
Within the scope of this work, different labeling techniques for super-resolution fluorescence microscopy were utilized allowing site-specific labeling of a single amino acid in synaptic proteins like kainate receptors (KARs), transmembrane α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor regulatory proteins (TARPs), γ-aminobutyric acid type A receptors (GABA-ARs) and neuroligin 2 (NL2). The method exploits the incorporation of unnatural amino acids (uAAs) in the protein of interest using genetic code expansion (GCE) via amber suppression technology and subsequent labeling with tetrazine functionalized fluorophores. Implementing this technique, hard-to-target proteins such as KARs, TARPs and GABA-ARs could be labeled successfully, which could only be imaged insufficiently with conventional labeling approaches. Furthermore, functional studies involving electrophysiological characterization, as well as FRAP and FRET experiments validated that incorporation of uAAs maintains the native character of the targeted proteins. Next, the method was transferred into primary hippocampal neurons and in combination with super-resolution microscopy it was possible to resolve the nanoscale organization of γ2 and γ8 TARPs. Cluster analysis of dSTORM localization data verified synaptic accumulation of γ2, while γ8 was homogenously distributed along the neuron. Additionally, GCE and bioorthogonal labeling allowed visualization of clickable GABA-A receptors located at postsynaptic compartments in dissociated hippocampal neurons. Moreover, saturation experiments and FRET imaging of clickable multimeric receptors revealed successful binding of multiple tetrazine functionalized fluorophores to uAA-modified dimeric GABA-AR α2 subunits in close proximity (~5 nm). Further utilization of tetrazine-dyes via super-resolution microscopy methods such as dSTORM and click-ExM will provide insights to subunit arrangement in receptors in the future.
This work investigated the nanoscale organization of synaptic proteins with minimal linkage error enabling new insights into receptor assembly, trafficking and recycling, as well as protein-protein interactions at synapses. Ultimately, bioorthogonal labeling can help to understand pathologies such as the limbic encephalitis associated with GABA-AR autoantibodies and is already in application for cancer therapies.
The hoatzin (Opisthocomus hoazin) is an enigmatic bird that lives in the riparian lowlands of northern South America. Among its peculiar attributes are 1) microbial foregut fermentation, unique in birds, to convert plant cellulose in the foliage which it consumes into simple sugars, 2) an ongoing debate about the puzzling taxonomic position, although a relationship to the Cuculiformes appears likely, 3) adaptive wing claws in the young which are used for climbing, and 4) co-operative breeding behaviour. Despite the information available on digestive mode and taxonomy little has been published on its breeding biology and behaviour and until now almost all knowledge was based on a study in the savannah of Venezuela. This is the first detailed study of the hoatzin’s nesting ecology in a rainforest habitat. From 1995-1998 and in 2000 I monitored a hoatzin population which consisted of approximately 700 individuals in an Amazonian rainforest in Ecuador situated in the Cuyabeno Wildlife Reserve (between 0°02’ N, 76°0’ W, 0°03’ S, and 76°14’ W). The area is composed of various black water lagoons and small rivers, flooded forests and terra firme forest. Primarily, I examined group composition and breeding pattern and success related to traits such as clutch and egg size, offspring sex ratio and the number of parents involved in a common breeding attempt. Apart from standardised observations and monitoring I took blood samples from chicks, which were later used for molecular sexing and for DNA fingerprints. Food plants were collected and determined and a rough habitat mapping was conducted. Since the impacts of boat tourism in the area became apparent I investigated the interactions of adult and young hoatzins with tourists and measured the plasma concentration of the hormone corticosterone in chicks as an indicator of stress. Each chapter has its own introduction to the specific topic and can be read independently. The main findings of this study are: The reproduction of the hoatzin was timed strictly following the bimodal rainy pattern in the area. There was only one breeding attempt per year. Only 18% of breeding attempts ended successfully with at least one fledgling. Incubation started with the first egg laid and led to hatching asynchrony. In most cases only the A-chick survived and there is evidence for a brood reduction strategy. I observed egg size variation patterns both within the clutches and between the clutches. Approximately 80% of breeding attempts were carried out with auxiliaries. Units with alloparentals had a higher breeding success than single pairs. The results indicate a trade-off between helping and group size. DNA band-sharing comparisons revealed the existence of joint-nests, where several females laid their eggs in one single nest. The clutches of these joint-nests suffered severe egg loss during all stages of incubation. Breeding success did not differ between single- and joint-nests. The primary offspring sex ratio was biased towards daughters. There was no differential mortality between the sexes until fledging. Individual breeding units employed an adaptive production of offspring of each sex according to their current group size. Rainforest tourism negatively influenced the survival and growth of young, not yet fledged hoatzins. In addition tourist-exposed young showed a stronger hormonal stress response than their conspecifics from undisturbed sites. In contrast, breeding adults appear to have habituated to tourist boats and exposure to observers.
The present work investigates the influence of environmental stimuli on the building behavior of workers of the leaf-cutting ant Atta vollenweideri. It focuses on cues related to the airflow-driven ventilation of their giant underground nests, i.e., air movements and their direction, carbon dioxide concentrations and humidity levels of the nest air. First, it is shown that workers are able to use airflow and its direction as learned orientation cue by performing learning experiments with individual foragers using a classical conditioning paradigm. This ability is expected to allow workers to also navigate inside the nest tunnels using the prevailing airflow directions for orientation, for example during tasks related to nest construction and climate control.
Furthermore, the influence of carbon dioxide on the digging behavior of workers is investigated. While elevated CO2 levels hardly affect the digging rate of the ants, workers prefer to excavate at locations with lower concentrations and avoid higher CO2 levels when given a choice. Under natural conditions, shifting their digging activity to soil layers containing lower carbon dioxide levels might help colonies to excavate new or to broaden existing nest openings, if the CO2 concentration in the underground rises.
It is also shown that workers preferably transport excavated soil along tunnels containing high CO2 concentrations, when carbon dioxide levels in the underground are elevated as well. In addition, workers prefer to carry soil pellets along outflow tunnels instead of inflow tunnels, at least for high humidity levels of the air. The material transported along tunnels providing outflow of CO2-rich air might be used by workers for the construction of ventilation turrets on top of the nest mound, which is expected to promote the wind-induced ventilation and the removal of carbon dioxide from the underground.
The climatic conditions inside the nest tunnels also influence the structural features of the turrets constructed by workers on top the nest. While airflow and humidity have no effect on turret structure, outflow of CO2-rich air from the nest causes workers to construct turrets with additional openings and increased aperture, potentially enhancing the airflow-driven gas exchanges within the nest.
Finally, the effect of airflow and ventilation turrets on the gas exchanges in Atta vollenweideri nests is tested experimentally on a physical model of a small nest consisting of a single chamber and two nest tunnels. The carbon dioxide clearance rate from the underground was measured depending on both the presence of airflow in the nest and the structural features of the built turrets. Carbon dioxide is removed faster from the physical nest model when air moves through the nest, confirming the contribution of wind-induced flow inside the nest tunnels to the ventilation of Atta vollenweideri nests. In addition, turrets placed on top of one of the tunnel openings of the nest further enhance the CO2 clearance rate and the effect is positively correlated with turret aperture.
Taken together, climatic variables like airflow, carbon dioxide and humidity levels strongly affect the building responses of Atta vollenweideri leaf-cutting ants. Workers use these environmental stimuli as orientation cue in the nest during tasks related to excavation, soil transport and turret construction. Although the effects of these building responses on the microclimatic conditions inside the nest remain elusive so far, the described behaviors are expected to allow ant colonies to restore and maintain a proper nest climate in the underground.
This work was aimed at experimentally studying whether climatic variables act as environmental cues for workers’ building behaviour in leaf-cutting ants of the genus Acromyrmex, and to what extent building responses account for the maintenance of nest climate in a proper range for the inhabiting colony. Specifically, this work presents independent analysis in different Acromyrmex species with disparate ecology and nesting habits, aimed at understanding to what extent: i) temperature and humidity act as cues for workers’ building behaviour, ii) inter- and intraspecific differences in the nesting habits observed in South American Acromyrmex are based on distinct building behaviours and on the variation in regional climate across continent, iii) differences in nest architecture account for the maintenance of nest climate in a proper range for colony members and, iv) climatic variables trigger building responses aimed at controlling short-term changes in nest climate. It is first experimentally shown that soil temperature acts as a cue for workers’ digging behaviour. Acromyrmex lundi workers were observed to respond to both soil temperature as well as its changes, and to decide accordingly where to start or whether to stop digging. The soil temperature range preferred by workers to dig, between 20°C and maximally 30.6°C, matches the range at which colony growth is expected to be maximized. Temperature-sensitive digging might therefore lead to the establishment of the fungus chambers in soil layers with a proper range of temperatures for colony growth. Based on that, it was hypothesized that nest depth in Acromyrmex largely depends on the depth at which this temperature range is located across the soil profile, i.e., the higher the temperature in the superficial soil layers, the deeper the nest location, since soil temperature decreases with increasing depth. A bibliographic survey on nesting habits of 21 South American Acromyrmex species confirmed that the warmer the soil temperature at 50 cm depth throughout the South American continent, the higher the number of species presenting subterranean nests, compared with those inhabiting superficial nests. Temperature-sensitive digging in Acromyrmex would therefore explain the geographical distribution of nesting habits observed for this genus in the South American continent, i.e., subterranean in the northern tropical regions, and superficial in the southern temperate ones. In addition, results showed that Acromyrmex colonies from temperate regions indeed achieve thermoregulatory benefits through the determination of nest depth based on thermoregulatory needs. In sympatrically-occurring colonies of the grass-cutting ant A. heyeri, temperature inside superficial thatched nests was higher, and more suitable for colony growth, than that inside subterranean nests. This temperature surplus was even higher in spring, at the time of production of sexual brood, than in winter or summer. It was demonstrated that such temperature surplus was brought about by the low thermal diffusivity of the nest thatch, which prevents diurnal nest overheating by the incoming solar radiation, and avoids losses of the accumulated daily heat into the cold air during night, thus leading to high average nest temperatures. Although highly advantageous for colonies in terms of nest temperature, the determination of nest depth based on thermoregulatory needs may differentially affect nest ventilation and humidity depending on how nest exposition influences the exchange of nest air with the outside air. For instance, colonies with a superficial nesting habit might benefit from improved nest ventilation, but be at risk of desiccation due to their exposition and the consequent humidity losses into the dry outside air. Results demonstrated that in two Acromyrmex species, short-term regulatory building responses triggered and spatially organized by climatic variables occur, and may counteract undesired changes in internal nest humidity. Workers of the thatching grass-cutting ant A. heyeri, for instance, closed a number of nest-thatch openings as a response to desiccation of the outside air, even at a nest temperature that otherwise triggered the response of opening them so as to reduce nest temperature. In the leaf-cutting ant A. ambiguus, the direction of the airflow inside nest tunnels was shown to act as a cue for spatially guiding the building behaviour of plugging nest entrances. However, workers only responded if the humidity content of the circulating air was low, trading therefore nest ventilation for humidity maintenance.
The honeybee Apis mellifera is a social insect well known for its complex behavior and the ability to learn tasks associated with central place foraging, such as visual navigation or to learn and remember odor-reward associations. Although its brain is smaller than 1mm² with only 8.2 x 105 neurons compared to ~ 20 x 109 in humans, bees still show amazing social, cognitive and learning skills. They express an age – related division of labor with nurse bees staying inside the hive and performing tasks like caring for the brood or cleaning, and foragers who collect food and water outside the hive. This challenges foragers with new responsibilities like sophisticated navigation skills to find and remember food sources, drastic changes in the sensory environment and to communicate new information to other bees. Associated with this plasticity of the behavior, the brain and especially the mushroom bodies (MBs) - sensory integration and association centers involved in learning and memory formation – undergo massive structural and functional neuronal alterations. Related to this background my thesis on one hand focuses on neuronal plasticity and underlying molecular mechanisms in the MBs that accompany the nurse – forager transition.
In the first part I investigated an endogenous and an internal factor that may contribute to the nurse - forager phenotype plasticity and the correlating changes in neuronal network in the MBs: sensory exposure (light) and juvenile hormone (JH). Young bees were precociously exposed to light and subsequently synaptic complexes (microglomeruli, MG) in the MBs or respectively hemolymph juvenile hormone (JH) levels were quantified. The results show that light input indeed triggered a significant decrease in MG density, and mass spectrometry JH detection revealed an increase in JH titer. Interestingly light stimulation in young bees (presumably nurse bees) triggered changes in MG density and JH levels comparable to natural foragers. This indicates that both sensory stimuli as well as the endocrine system may play a part in preparing bees for the behavioral transition to foraging.
Considering a connection between the JH levels and synaptic remodeling I used gene knockdown to disturb JH pathways and artificially increase the JH level. Even though the knockdown was successful, the results show that MG densities remained unchanged, showing no direct effect of JH on synaptic restructuring.
To find a potential mediator of structural synaptic plasticity I focused on the calcium-calmodulin-dependent protein kinase II (CaMKII) in the second part of my thesis. CaMKII is a protein known to be involved in neuronal and behavioral plasticity and also plays an important part in structural plasticity reorganizing synapses. Therefore it is an interesting candidate for molecular mechanisms underlying MG reorganization in the MBs in the honeybee. Corresponding to the high abundance of CaMKII in the learning center in vertebrates (hippocampus), CaMKII was shown to be enriched in the MBs of the honeybee. Here I first investigated the function of CaMKII in learning and memory formation as from vertebrate work CaMKII is known to be associated with the strengthening of synaptic connections inducing long term potentiation and memory formation. The experimental approach included manipulating CaMKII function using 2 different inhibitors and a specific siRNA to create a CaMKII knockdown phenotype. Afterwards bees were subjected to classical olfactory conditioning which is known to induce stable long-term memory. All bees showed normal learning curves and an intact memory acquisition, short-term and mid-term memory (1 hour retention). However, in all cases long-term memory formation was significantly disrupted (24 and 72 hour retention). These results suggests the necessity of functional CaMKII in the MBs for the induction of both early and late phases of long-term memory in honeybees. The neuronal and molecular bases underlying long-term memory and the resulting plasticity in behavior is key to understanding higher brain function and phenotype plasticity. In this context CaMKII may be an important mediator inducing structural synaptic and neuronal changes in the MB synaptic network.
In initial experiments, the well characterized VACV strain GLV-1h68 and three wild-type LIVP isolates were utilized to analyze gene expression in a pair of autologous human melanoma cell lines (888-MEL and 1936 MEL) after infection. Microarray analyses, followed by sequential statistical approaches, characterized human genes whose transcription is affected specifically by VACV infection. In accordance with the literature, those genes were involved in broad cellular functions, such as cell death, protein synthesis and folding, as well as DNA replication, recombination, and repair. In parallel to host gene expression, viral gene expression was evaluated with help of customized VACV array platforms to get better insight over the interplay between VACV and its host. Our main focus was to compare host and viral early events, since virus genome replication occurs early after infection. We observed that viral transcripts segregated in a characteristic time-specific pattern, consistent with the three temporal expression classes of VACV genes, including a group of genes which could be classified as early-stage genes. In this work, comparison of VACV early replication and respective early gene transcription led to the identification of seven viral genes whose expression correlated strictly with replication. We considered the early expression of those seven genes to be representative for VACV replication and we therefore referred to them as viral replication indicators (VRIs). To explore the relationship between host cell transcription and viral replication, we correlated viral (VRI) and human early gene expression. Correlation analysis revealed a subset of 114 human transcripts whose early expression tightly correlated with early VRI expression and thus early viral replication. These 114 human molecules represented an involvement in broad cellular functions. We found at least six out of 114 correlates to be involved in protein ubiquitination or proteasomal function. Another molecule of interest was the serine-threonine protein kinase WNK lysine-deficient protein kinase 1 (WNK1). We discovered that WNK1 features differences on several molecular biological levels associated with permissiveness to VACV infection. In addition to that, a set of human genes was identified with possible predictive value for viral replication in an independent dataset. A further objective of this work was to explore baseline molecular biological variances associated with permissiveness which could help identifying cellular components that contribute to the formation of a permissive phenotype. Therefore, in a subsequent approach, we screened a set of 15 melanoma cell lines (15-MEL) regarding their permissiveness to GLV-1h68, evaluated by GFP expression levels, and classified the top four and lowest four cell lines into high and low permissive group, respectively. Baseline gene transcriptional data, comparing low and highly permissive group, suggest that differences between the two groups are at least in part due to variances in global cellular functions, such as cell cycle, cell growth and proliferation, as well as cell death and survival. We also observed differences in the ubiquitination pathway, which is consistent with our previous results and underlines the importance of this pathway in VACV replication and permissiveness. Moreover, baseline microRNA (miRNA) expression between low and highly permissive group was considered to provide valuable information regarding virus-host co-existence. In our data set, we identified six miRNAs that featured varying baseline expression between low and highly permissive group. Finally, copy number variations (CNVs) between low and highly permissive group were evaluated. In this study, when investigating differences in the chromosomal aberration patterns between low and highly permissive group, we observed frequent segmental amplifications within the low permissive group, whereas the same regions were mostly unchanged in the high group. Taken together, our results highlight a probable correlation between viral replication, early gene expression, and the respective host response and thus a possible involvement of human host factors in viral early replication. Furthermore, we revealed the importance of cellular baseline composition for permissiveness to VACV infection on different molecular biological levels, including mRNA expression, miRNA expression, as well as copy number variations. The characterization of human target genes that influence viral replication could help answering the question of host cell response to oncolytic virotherapy and provide important information for the development of novel recombinant vaccinia viruses with improved features to enhance replication rate and hence trigger therapeutic outcome.
Members of the enabled/vasodilator-stimulated phosphoprotein (Ena/VASP) family are important regulators of the actin cytoskeleton dynamics. VASP functions as well as its interactions with other proteins are regulated by phosphorylation at three sites - serine157 (S157), serine239 (S239), and threonine278 (T278) in humans. cAMP- and cGMP- dependent protein kinases phosphorylate S157 and S239, respectively. In contrast, the kinase responsible for T278 was as yet unknown and identified in the first part of this thesis. In a screen for T278 phosphorylating kinases using a phospho-specific antibody against phosphorylated T278 AMP-activated protein kinase (AMPK) was identified in endothelial cells. Mutants of AMPK with altered kinase-activity modulate T278-phosphorylation levels in cells. AMPK-driven T278-phosphorylation impaired stress fiber formation and changed cell morphology in living cells. AMPK is a fundamental sensor of cellular and whole body energy homeostasis. Zucker Diabetic Fatty (ZDF) rats, which are an animal model for type II diabetes mellitus, were used to analyze the impact of phosphorylated T278 in vivo. AMPK-activity and T278-phosphorylation were substantially reduced in arterial vessel walls of ZDF rats in comparison to control animals. These findings demonstrate that VASP is a new AMPK substrate, that VASP phosphorylation mediates the effects of metabolic regulation on actin cytoskeleton rearrangements, and that this signaling system becomes down-regulated in diabetic vessel disorders in rats. In the second part of this thesis, a functional analysis of differential VASP phosphorylations was performed. To systematically address VASP phosphorylation patterns, a set of VASP phosphomimetic mutants was cloned. These mutants enable the mimicking of defined phosphorylation patterns and the specific analysis of single kinase-mediated phosphorylations. VASP localization to the cell periphery was increased by S157- phosphorylation and modulated by phosphorylation at S239 and T278. Latter phosphorylations synergistically reduced actin polymerization. In contrast, S157- phosphorylation had no effect on actin-dynamics. Taken together, the results of the second part show that phosphorylation of VASP serves as a fine regulator of localization and actin polymerization activity. In summary, this study revealed the functions of VASP phosphorylations and established novel links between signaling pathways and actin cytoskeleton rearrangement.