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The Mouthparts of Ants
(2001)
Ant mandible movements cover a wide range of forces, velocities and precision. The key to the versatility of mandible functions is the mandible closer muscle. In ants, this muscle is generally composed of distinct muscle fiber types that differ in morphology and contractile properties. Volume proportions of the fiber types are species-specific and correlate with feeding habits. Two biomechanical models explain how the attachment angles are optimized with respect to force and velocity output and how filament-attached fibers help to generate the largest force output from the available head capsule volume. In general, the entire mandible closer muscle is controlled by 10-12 motor neurons, some of which exclusively supply specific muscle fiber groups. Simultaneous recordings of muscle activity and mandible movement reveal that fast movements require rapid contractions of fast muscle fibers. Slow and accurate movements result from the activation of slow muscle fibers. Forceful movements are generated by simultaneous co-activation of all muscle fiber types. For fine control, distinct fiber bundles can be activated independently of each other. Retrograde tracing shows that most dendritic arborizations of the different sets of motor neurons share the same neuropil in the suboesophageal ganglion. In addition, some motor neurons invade specific parts of the neuropil. The labiomaxillary complex of ants is essential for food intake. I investigated the anatomical design of the labiomaxillary complex in various ant species focusing on movement mechanisms. The protraction of the glossa is a non muscular movement. Upon relaxation of the glossa retractor muscles, the glossa protracts elastically. I compared the design of the labiomaxillary complex of ants with that of the honey bee, and suggest an elastic mechanism for glossa protraction in honey bees as well. Ants employ two different techniques for liquid food intake, in which the glossa works either as a passive duct (sucking), or as an up- and downwards moving shovel (licking). For collecting fluids at ad libitum food sources, workers of a given species always use only one of both techniques. The species-specific feeding technique depends on the existence of a well developed crop and on the resulting mode of transporting the fluid food. In order to evaluate the performance of collecting liquids during foraging, I measured fluid intake rates of four ant species adapted to different ecological niches. Fluid intake rate depends on sugar concentration and the associated fluid viscosity, on the species-specific feeding technique, and on the extent of specialization on collecting liquid food. Furthermore, I compared the four ant species in terms of glossa surface characteristics and relative volumes of the muscles that control licking and sucking. Both probably reflect adaptations to the species-specific ecological niche and determine the physiological performance of liquid feeding. Despite species-specific differences, single components of the whole system are closely adjusted to each other according to a general rule.
Large-scale anatomical and functional analyses of the connectivity in both invertebrate and mammalian brains have gained intense attention in recent years. At the same time, the understanding of synapses on a molecular level still lacks behind. We have only begun to unravel the basic mechanisms of how the most important synaptic proteins regulate release and reception of neurotransmitter molecules, as well as changes of synaptic strength. Furthermore, little is known regarding the stoichiometry of presynaptic proteins at different synapses within an organism. An assessment of these characteristics would certainly promote our comprehension of the properties of different synapse types. Presynaptic proteins directly influence, for example, the probability of neurotransmitter release as well as mechanisms for short-term plasticity. We have examined the strength of expression of several presynaptic proteins at different synapse types in the central nervous system of Drosophila melanogaster using immunohistochemistry. Clear differences in the relative abundances of the proteins were obvious on different levels: variations in staining intensities appeared from the neuropil to the synaptic level. In order to quantify these differences, we have developed a ratiometric analysis of antibody stainings. By application of this ratiometric method, we could assign average ratios of presynaptic proteins to different synapse populations in two central relays of the olfactory pathway. In this manner, synapse types could be characterized by distinct fingerprints of presynaptic protein ratios. Subsequently, we used the method for the analysis of aberrant situations: we reduced levels of Bruchpilot, a major presynaptic protein, and ablated different synapse or cell types. Evoked changes of ratio fingerprints were proportional to the modifications we had induced in the system. Thus, such ratio signatures are well suited for the characterization of synapses. In order to contribute to our understanding of both the molecular composition and the function of synapses, we also characterized a novel synaptic protein. This protein, Drep-2, is a member of the Dff family of regulators of apoptosis. We generated drep-2 mutants, which did not show an obvious misregulation of apoptosis. By contrast, Drep-2 was found to be a neuronal protein, highly enriched for example at postsynaptic receptor fields of the input synapses of the major learning centre of insects, the mushroom bodies. Flies mutant for drep-2 were viable but lived shorter than wildtypes. Basic synaptic transmission at both peripheral and central synapses was in normal ranges. However, drep-2 mutants showed a number of deficiencies in adaptive behaviours: adult flies were locomotor hyperactive and hypersensitive towards ethanol-induced sedation. Moreover, the mutant animals were heavily impaired in associative learning. In aversive olfactory conditioning, drep-2 mutants formed neither short-term nor anaesthesia-sensitive memories. We could demonstrate that Drep-2 is required in mushroom body intrinsic neurons for normal olfactory learning. Furthermore, odour-evoked calcium transients in these neurons, a prerequisite for learning, were reduced in drep-2 mutants. The impairment of the mutants in olfactory learning could be fully rescued by pharmacological application of an agonist to metabotropic glutamate receptors (mGluRs). Quantitative mass spectrometry of Drep-2 complexes revealed that the protein is associated with a large number of translational repressors, among them the fragile X mental retardation protein FMRP. FMRP inhibits mGluR-mediated protein synthesis. Lack of this protein causes the fragile X syndrome, which constitutes the most frequent monogenic cause of autism. Examination of the performance of drep-2 mutants in courtship conditioning showed that the animals were deficient in both short- and long-term memory. Drep-2 mutants share these phenotypes with fmrp and mGluR mutants. Interestingly, drep-2; fmrp double mutants exhibited normal memory. Thus, we propose a model in which Drep-2 antagonizes FMRP in the regulation of mGluR-dependent protein synthesis. Our hypothesis is supported by the observation that impairments in synaptic plasticity can arise if mGluR signalling is imbalanced in either direction. We suggest that Drep-2 helps in establishing this balance.
Bees have had an intimate relationship with humans for millennia, as pollinators of fruit, vegetable and other crops and suppliers of honey, wax and other products. This relationship has led to an extensive understanding of their ecology and behavior. One of the most comprehensively understood species is the Western honeybee, Apis mellifera. Our understanding of sex-specific investment in other bees, however, has remained superficial. Signals and cues employed in bee foraging and mating behavior are reasonably well understood in only a handful of species and functional adaptations are described in some species. I explored the variety of sensory adaptations in three model systems within the bees. Females share a similar ecology and similar functional morphologies are to be expected. Males, engage mainly in mating behavior. A variety of male mating strategies has been described which differ in their spatiotemporal features and in the signals and cues involved, and thus selection pressures. As a consequence, males’ sensory systems are more diverse than those of females. In the first part I studied adaptations of the visual system in honeybees. I compared sex and caste-specific eye morphology among 5 species (Apis andreniformis, A. cerana, A. dorsata, A. florea, A. mellifera). I found a strong correlation between body size and eye size in both female castes. Queens have a relatively reduced visual system which is in line with the reduced role of visual perception in their life history. Workers differed in eye size and functional morphology, which corresponds to known foraging differences among species. In males, the eyes are conspicuously enlarged in all species, but a disproportionate enlargement was found in two species (A. dorsata, A. florea). I further demonstrate a correlation between male visual parameters and mating flight time, and propose that light intensities play an important role in the species-specific timing of mating flights. In the second study I investigated eye morphology differences among two phenotypes of drones in the Western honeybee. Besides normal-sized drones, smaller drones are reared in the colony, and suffer from reduced reproductive success. My results suggest that the smaller phenotype does not differ in spatial resolution of its visual system, but suffers from reduced light and contrast sensitivity which may exacerbate the reduction in reproductive success caused by other factors. In the third study I investigated the morphology of the visual system in bumblebees. I explored the association between male eye size and mating behavior and investigated the diversity of compound eye morphology among workers, queens and males in 11 species. I identified adaptations of workers that correlate with distinct foraging differences among species. Bumblebee queens must, in contrast to honeybees, fulfill similar tasks as workers in the first part of their life, and correspondingly visual parameters are similar among both female castes. Enlarged male eyes are found in several subgenera and have evolved several times independently within the genus, which I demonstrate using phylogenetic informed statistics. Males of these species engage in visually guided mating behavior. I find similarities in the functional eye morphology among large-eyed males in four subgenera, suggesting convergent evolution as adaptation to similar visual tasks. In the remaining species, males do not differ significantly from workers in their eye morphology. In the fourth study I investigated the sexual dimorphism of the visual system in a solitary bee species. Males of Eucera berlandi patrol nesting sites and compete for first access to virgin females. Males have enlarged eyes and better spatial resolution in their frontal eye region. In a behavioral study, I tested the effect of target size and speed on male mate catching success. 3-D reconstructions of the chasing flights revealed that angular target size is an important parameter in male chasing behavior. I discuss similarities to other insects that face similar problems in visual target detection. In the fifth study I examined the olfactory system of E. berlandi. Males have extremely long antennae. To investigate the anatomical grounds of this elongation I studied antennal morphology in detail in the periphery and follow the sexual dimorphism into the brain. Functional adaptations were found in males (e.g. longer antennae, a multiplication of olfactory sensilla and receptor neurons, hypertrophied macroglomeruli, a numerical reduction of glomeruli in males and sexually dimorphic investment in higher order processing regions in the brain), which were similar to those observed in honeybee drones. The similarities and differences are discussed in the context of solitary vs. eusocial lifestyle and the corresponding consequences for selection acting on males.
Leaf-cutting ants have a highly developed thermal sense which the insects use to regulate the own body temperature and also to optimize brood and fungus development. Apart from the already described temperature guided behaviors inside the nest it is unknown to what extent the ants may use their thermal sense outside the nest. As part of the present thesis, the question was addressed whether leaf-cutting ants (Atta vollenweideri) are able to learn the position of a warm object as landmark for orientation during foraging. Using absolute conditioning, it was shown that ten training trials are sufficient to elicit the association be-tween food reward and the temperature stimulus. In the test situation (without reward) a significantly higher amount of ants preferred the heated site compared to the unheated con-trol. Importantly, thermal radiation alone was sufficient to establish the learned association and served as orientation cue during the test situation (chapter IV). Based on the experi-mental design used in the previous chapter, the localization of thermosensitive neurons, which detect the underlying thermal stimuli, is restricted to the head or the antennae of the ants. The antennal sensillum coeloconicum is a potential candidate to detect the thermal stimuli during the orientation behavior. In chapter V the sensillum coeloconicum of Atta vollenweideri was investigated concerning its gross morphology, fine-structure and the phy-siology of the associated thermosensitive neuron. The sensillum is predominantly located on the apical antennal segment (antennal tip) where around 12 sensilla are clustered, and it has a peg-in-pit morphology with a double walled, multiporous peg. The sensory peg is deeply embedded in a cuticular pit, connected to the environment only by a tiny aperture. The sen-sillum houses three receptor neurons of which one is thermosensitive whereas the sensory modality of the other two neurons remains to be shown. Upon stimulation with a drop in temperature, the thermosensitve neuron responds with a phasic-tonic increase in neuronal activity (cold-sensitive neuron) and shows rapid adaptation to prolonged stimulation. In ad-dition, it is shown that thermal radiation is an effective stimulus for the thermosensitive neuron. This is the first evidence that sensilla coeloconica play an important role during the thermal orientation behavior described in chapter IV. During the test situation of the classic-al conditioning paradigm, the ants showed rapid antennal movements, indicating that they scan their environment in order to detect the heated object. Rapid antennal movements will result in rapid discontinuities of thermal radiation that re-quire thermosensitive neurons with outstanding sensitivity and high temporal resolution. In Chapter VI the question was addressed whether the thermosensitive neuron of the sensilla coeloconica fulfils these preconditions. Extracellular recordings revealed that the neuron is extremely sensitive to temperature transients and that, due to the response dynamics, an estimated stimulus frequency of up to 5 Hz can be resolved by the neuron. Already a tem-perature increase of only 0.005 °C leads to a pronounced response of the thermosensitive neuron. Through sensory adaptation, the sensitivity to temperature transients is maintained over a wide range of ambient temperatures. The discovered extreme sensitivity, the high temporal resolution and the pronounced adaptation abilities are further evidence support-ing the idea that sensilla coeloconica receive information of the thermal environment, which the ants may use for orientation. In order to understand how the ants use their thermal environment for orientation, it is ne-cessary to know where and how thermal information is processed in their central nervous system. In Chapter VII the question is addressed where in the brain the thermal information, specifically received by the thermosensitive neuron of sensilla coeloconica, is represented. By selectively staining single sensilla coeloconica, the axons of the receptor neurons could be tracked into the antennal lobe of Atta vollenweideri workers. Each of the three axons termi-nated in a single functional unit (glomerulus) of the antennal lobe. Two of the innervated glomeruli were adjacent to each other and are located lateral, while the third one was clear-ly separate and located medial in the antennal lobe. Using two-photon Ca2+ imaging of an-tennal lobe projection neurons, the general representation of thermal information in the antennal lobe was studied. In 11 investigated antennal lobes up to six different glomeruli responded to temperature stimulation in a single specimen. Both, warm- and cold-sensitive glomeruli could be identified. All thermosensitive glomeruli were located in the medial half of the antennal lobe. Based on the correlative evidence of the general representation of thermal information and the results from the single sensilla stainings, it is assumed that thermal information received by sensilla coeloconica is processed in the medial of the three target glomeruli. This part of the thesis shows the important role of the antennal lobe in temperature processing and links one specific thermosensitive neuron to its target region (a single glomerulus). In chapter V it was shown that the sensilla coeloconica are clustered at the antennal tip and have an extraordinary peg-in-pit morphology. In the last chapter of this thesis (Chapter VIII) the question is addressed whether the morphology of the sensilla coeloconica predicts the receptive field of the thermosensitive neuron during the detection of thermal radiation. The sensory pegs of all sensilla coeloconica in the apical cluster have a similar orientation, which was not constraint by the shape of the antennal tip where the cluster is located. This finding indicates that the sensilla coeloconica function as a single unit. Finally the hypothesis was tested whether a single sensillum could be direction sensitive to thermal radiation based on its eye-catching morphology. By stimulating the thermosensitive neuron from various angles around the sensillum this indeed could be shown. This is the last and most significant evi-dence that the sensilla coeloconica may be adapted to detect spatially distributed heated objects in the environment during the thermal landmark orientation of ants.
Die Spinale Muskelatrophie (SMA) ist eine häufige autosomal-rezessiv vererbte Erkrankung des motorischen Nervensystems bei Kindern. Ursache der Degeneration von spinalen Motoneuronen ist der homozygote Verlust des SMN- (survival of motoneuron) Gens und ein dadurch bedingter Mangel an SMN-Protein. Untersuchungen an Motoneuronen von Smn-defizienten Mäusen ergaben Störungen des axonalen Längenwachstums aufgrund einer Fehlverteilung des Zytoskelettproteins beta-Aktin und seiner mRNA in den Axonterminalen. Das Axonwachstum wird durch Aktin-Polymerisierung im Wachstumskegel gesteuert. beta-Aktin-mRNA findet sich auch in Axonen, und die lokale Proteinsynthese kann durch neuronale Aktivierung gesteigert werden. Das SMN-Protein ist am axonalen Transport von beta-Aktin beteiligt. In der vorliegenden Arbeit ergaben Western Blot-Analysen in neuralen Stammzellen (NSC) sowie spinalen Motoneuronen in vitro eine Steigerung der SMN-Proteinexpression durch 8-CPT-cAMP. Zur Untersuchung der Auswirkungen der erhöhten SMN-Proteinmenge auf die Pathologie der Motoneurone wurde ein in-vitro-Assay entwickelt, mit dessen Hilfe gezeigt werden konnte, dass eine Behandlung mit 100 µM 8-CPT-cAMP die axonalen Veränderungen isolierter embryonaler Smn-defizienter Motoneurone kompensieren kann. Motoneurone von 14 Tage alten Smn-defizienten und Kontroll-Mausembryonen wurden über sieben Tage hinweg auf einer Matrix aus Poly-Ornithin und Laminin-111 bzw. Laminin-121/221 kultiviert und mit 100µM cAMP und neurotrophen Faktoren behandelt. Nach Fixierung wurden die Zellen mit Antikörpern gegen Islet-1/2, tau und beta-Aktin gefärbt, mit Hilfe eines konfokalen Mikroskops fotografiert und digital vermessen. 8-CPT-cAMP erhöht den beta-Aktin-Gehalt in den axonalen Wachstumskegeln von Smn-defizienten Motoneuronen. Die Größe der Wachstumskegel nimmt durch die Behandlung um das 2-3fache zu und erreicht normale Werte. Auf Laminin-111 bleibt das Längenwachstum der Axone durch 100µM 8-CPT-cAMP unbeeinflusst, auf Laminin-121/221 wird das Längenwachstum normalisiert. Die beta-Aktin-Verteilung innerhalb der Axone und Wachstumskegel von Smn-defizienten Motoneuronen erscheint durch die cAMP-Behandlung nahezu normalisiert. Die Wiederherstellung der beta-Aktin-Verteilung in Wachstumskegeln durch cAMP kann große Auswirkungen auf die Funktionalität der Motoneurone haben. Die Ergebnisse sind möglicherweise ein erster Schritt auf dem Weg zu einer Therapie für die Spinale Muskelatrophie.
Integrating neurobiological markers of depression: an fMRI-based pattern classification approach
(2010)
While depressive disorders are, to date, diagnosed based on behavioral symptoms and course of illness, the interest in neurobiological markers of psychiatric disorders has grown substantially in recent years. However, current classification approaches are mainly based on data from a single biomarker, making it difficult to predict diseases such as depression which are characterized by a complex pattern of symptoms. Accordingly, none of the previously investigated single biomarkers has shown sufficient predictive power for practical application. In this work, we therefore propose an algorithm which integrates neuroimaging data associated with multiple, symptom-related neural processes relevant in depression to improve classification accuracy. First, we identified the core-symptoms of depression from standard classification systems. Then, we designed and conducted three experimental paradigms probing psychological processes known to be related to these symptoms using functional Magnetic Resonance Imaging. In order to integrate the resulting 12 high-dimensional biomarkers, we developed a multi-source pattern recognition algorithm based on a combination of Gaussian Process Classifiers and decision trees. Applying this approach to a group of 30 healthy controls and 30 depressive in-patients who were on a variety of medications and displayed varying degrees of symptom-severity allowed for high-accuracy single-subject classification. Specifically, integrating biomarkers yielded an accuracy of 83% while the best of the 12 single biomarkers alone classified a significantly lower number of subjects (72%) correctly. Thus, integrated biomarker-based classification of a heterogeneous, real-life sample resulted in accuracy comparable to the highest ever achieved in previous single biomarker research. Furthermore, investigation of the final prediction model revealed that neural activation during the processing of neutral facial expressions, large rewards, and safety cues is most relevant for over-all classification. We conclude that combining brain activation related to the core-symptoms of depression using the multi-source pattern classification approach developed in this work substantially increases classification accuracy while providing a sparse relational biomarker-model for future prediction.
The neurodegenerative disorder Alzheimer's disease (AD) is the cause of approximately 60% of the world's 35 million patients suffering from dementia. Current research focuses here are on association with other diseases such as diabetes type 2 (T2DM), possible genetic markers, specific signal transduction pathways within the brain and potential protein modification, because the pathogenesis and etiology of AD are still not fully understood. Specifically association of T2DM with AD came to the focus with the so-called "Rotterdam study" in 1999, indicating that T2DM doubles the risk of developing AD. In the meantime, it is known that the prevalence rate in patients with T2DM is 30%. Drugs commonly used in the treatment of T2DM such as peroxisome proliferator-activated receptors gamma (PPARγ) agonists show improvement of the cognitive abilities in patients with early stage of dementia, with potential therapeutically relevance. Therefore it is important not only to investigate a link between these diseases, but also to investigate the insulin signaling pathway in the brain of AD patients. In order to investigate this complex issue in more details and demonstrate additional links between T2DM and AD, the present study used several basic biological methods to clarify the question: "Is impaired insulin signaling pathway within the brain crucial for the development of AD?" from several points of view. The methods used in this work have been i) an analysis of single nucleotide (SNP) polymorphism of the insulin-degrading enzyme gene (IDE) in relation to risk of AD and / or of T2DM, ii) post-mortem histochemical studies of brain tissue of patients with only AD, with AD combined with T2DM and with only T2DM compared with an age-matched control group, and iii.) investigations of neurochemical pathways and gene/protein expression changes of a human cell culture as a consequences of amyloid β (Aβ) treatment. After analysis of the IDE SNP polymorphism in the selected VITA (Vienna Trans Danube Aging) cohort disease-specific effects were discovered. The upstream polymorphism (IDE2) was found to influence AD risk in a protective manner, while the downstream polymorphism (IDE7) modified the T2DM risk. Based on the SNP results, the presented study delineate the model that IDE promoter and 3‟ untranslated region/downstream variation can have different effects on IDE expression, maybe a relevant endophenotype with disorder-specific effects on AD and T2DM susceptibility. Furthermore, the human post-mortem studies could show that both AD as well as T2DM patients had a significantly lower density of the insulin receptor (IR) in the hippocampus, whereas a significantly increased density of inactive phosphorylated PPARγ has been found and this persisted even in patients with both diseases. Summarizing the histological study, it was possible to reveal common histological features of AD and T2DM, but no direct connection between the two diseases. Although AD is nowadays not only characterized by amyloid-containing plaque deposits and by the hyperphosphorylation of tau protein, the excessive Aβ42 presence in the brains of AD patients is still playing a key role. Up to date it is still not entirely clear which physical form of Aβ42 is responsible for the development of AD. The present work investigated, what impact has the state of aggregation of Aβ42 on genes and proteins of the insulin signaling pathway and the amyloid cascade. It could be shown that the oligomeric variant enhanced specifically the gene and protein expression of glycogen synthase kinase (GSK) 3β and also the enzyme activity was significantly increased, but has in turn strongly inhibited the IR gene and protein expression. Additionally, the effect of Aβ42 on monoamine oxidase B (MAO-B) was examined. An effect of both aggregated forms of Aβ42 had on enzyme activity was discovered. However, the fibrillar variants led to significantly increased activity of MAO-B while the oligomeric variants inhibited the enzyme activity. Several previous studies have demonstrated the involvement of increased MAO-B activity in AD, but the present work provides for the first time a direct link between the states of aggregation of Aβ42 to enzyme activity. Finally the results of the presented thesis can be summarized to following conclusion: Although AD and T2DM sharing some degrees of common features, still there is a lack of direct association, and therefore the diseases must be considered more independent rather than linked. But the impaired cerebral insulin signaling pathway seems to be another manifested hallmark of AD.
Neurobiology is widely supported by bioinformatics. Due to the big amount of data generated from the biological side a computational approach is required. This thesis presents four different cases of bioinformatic tools applied to the service of Neurobiology.
The first two tools presented belong to the field of image processing. In the first case, we make use of an algorithm based on the wavelet transformation to assess calcium activity events in cultured neurons. We designed an open source tool to assist neurobiology researchers in the analysis of calcium imaging videos. Such analysis is usually done manually which is time consuming and highly subjective. Our tool speeds up the work and offers the possibility of an unbiased detection of the calcium events. Even more important is that our algorithm not only detects the neuron spiking activity but also local spontaneous activity which is normally discarded because it is considered irrelevant. We showed that this activity is determinant in the calcium dynamics in neurons and it is involved in important functions like signal modulation and memory and learning.
The second project is a segmentation task. In our case we are interested in segmenting the neuron nuclei in electron microscopy images of c.elegans. Marking these structures is necessary in order to reconstruct the connectome of the organism. C.elegans is a great study case due to the simplicity of its nervous system (only 502 neurons). This worm, despite its simplicity has taught us a lot about neuronal mechanisms. There is still a lot of information we can extract from the c.elegans, therein lies the importance of reconstructing its connectome. There is a current version of the c.elegans connectome but it was done by hand and on a single subject which leaves a big room for errors. By automatizing the segmentation of the electron microscopy images we guarantee an unbiased approach and we will be able to verify the connectome on several subjects.
For the third project we moved from image processing applications to biological modeling. Because of the high complexity of even small biological systems it is necessary to analyze them with the help of computational tools. The term in silico was coined to refer to such computational models of biological systems. We designed an in silico model of the TNF (Tumor necrosis factor) ligand and its two principal receptors. This biological system is of high relevance because it is involved in the inflammation process. Inflammation is of most importance as protection mechanism but it can also lead to complicated diseases (e.g. cancer). Chronic inflammation processes can be particularly dangerous in the brain. In order to better understand the dynamics that govern the TNF system we created a model using the BioNetGen language. This is a rule based language that allows one to simulate systems where multiple agents are governed by a single rule. Using our model we characterized the TNF system and hypothesized about the relation of the ligand with each of the two receptors. Our hypotheses can be later used to define drug targets in the system or possible treatments for chronic inflammation or lack of the inflammatory response.
The final project deals with the protein folding problem. In our organism proteins are folded all the time, because only in their folded conformation are proteins capable of doing their job (with some very few exceptions). This folding process presents a great challenge for science because it has been shown to be an NP problem. NP means non deterministic Polynomial time problem. This basically means that this kind of problems cannot be efficiently solved. Nevertheless, somehow the body is capable of folding a protein in just milliseconds. This phenomenon puzzles not only biologists but also mathematicians. In mathematics NP problems have been studied for a long time and it is known that given the solution to one NP problem we could solve many of them (i.e. NP-complete problems). If we manage to understand how nature solves the protein folding problem then we might be able to apply this solution to many other problems. Our research intends to contribute to this discussion. Unfortunately, not to explain how nature solves the protein folding problem, but to explain that it does not solve the problem at all. This seems contradictory since I just mentioned that the body folds proteins all the time, but our hypothesis is that the organisms have learned to solve a simplified version of the NP problem. Nature does not solve the protein folding problem in its full complexity. It simply solves a small instance of the problem. An instance which is as simple as a convex optimization problem. We formulate the protein folding problem as an optimization problem to illustrate our claim and present some toy examples to illustrate the formulation. If our hypothesis is true, it means that protein folding is a simple problem. So we just need to understand and model the conditions of the vicinity inside the cell at the moment the folding process occurs. Once we understand this starting conformation and its influence in the folding process we will be able to design treatments for amyloid diseases such as Alzheimer's and Parkinson's.
In summary this thesis project contributes to the neurobiology research field from four different fronts. Two are practical contributions with immediate benefits, such as the calcium imaging video analysis tool and the TNF in silico model. The neuron nuclei segmentation is a contribution for the near future. A step towards the full annotation of the c.elegans connectome and later for the reconstruction of the connectome of other species. And finally, the protein folding project is a first impulse to change the way we conceive the protein folding process in nature. We try to point future research in a novel direction, where the amino code is not the most relevant characteristic of the process but the conditions within the cell.
In this thesis I studied psychological aspects in the behaviour of Drosophila, and especially Drosophila larvae. After an introduction where I present the general scientific context and describe the mechanisms of olfactory perception as well as of classical and operant conditioning, I present the different experiments that I realised during my PhD. Perception The second chapter deals with the way adult Drosophila generalise between single odours and binary mixtures of odours. I found that flies perceive a mixture of two odours as equally similar to the two elements composing it; and that the intensity as well as the physico-chemical nature of the elements composing a mixture affect the degree of generalisation between this mixture and one of its elements. These findings now call for further investigation on the physiological level, using functional imaging. Memory The third chapter presents a series of experiments in Drosophila larvae in order to define some characteristics of a new protocol for classical aversive learning which involves associating odours with mechanical disturbance as a punishment. The protocol and the first results should open new doors for the study of classical conditioning in Drosophila larvae, by allowing the comparison between two types of aversive memory (gustatory vs. mechanical reinforcement), including a comparison of their neurogenetic bases. It will also allow enquiries into the question whether these respective memories are specific for the kind of reinforcer used. Agency The fourth chapter documents our attempts to establish operant memory in Drosophila larvae. By analysing the first moments of the test, I could reveal that the larvae modified their behaviour according to their previous operant training. However, this memory seems to be quickly extinguished during the course of the test. We now aim at repeating these results and improving the protocol, in order to be able to systematically study the mechanisms allowing and underlying operant learning in Drosophila larvae. In the fifth chapter, I use the methods developed in chapter four for an analysis of larval locomotion. I determine whether larval locomotion in terms of speed or angular speed is affected by a treatment with the “cognitive enhancer” Rhodiola rosea, or by mutations in the Synapsin or SAP47 genes which are involved in the formation of olfactory memory. I also characterize the modifications induced by the presence of gustatory stimuli in the substrate on which the larvae are crawling. This thesis thus brings new elements to the current knowledge of Drosophila
In einer vorangegangenen Arbeit konnte eine hypomorphe Mutation innerhalb des Genlokus einer putativen Serin-/Threonin-Kinase als Auslöser der Aggregatbildung des Aktive-Zone- Proteins Bruchpilot in larvalen Motoneuronaxonen identifiziert werden (Nieratschker, 2004). Aufgrund der Homologien dieser Kinase zu SR-Proteinkinasen wurde der Name Serin- /Threonin-Proteinkinase 3 (SRPK3) vorgeschlagen. Laut ursprünglicher Annotation der „Flybase“ (http://flybase.bio.indiana.edu) codiert der Genlokus der Srpk3, der auf dem linken Arm des dritten Chromosoms innerhalb der Region 79D4 lokalisiert ist und sich über ca. 10,3 kb erstreckt, für zwei Transkripte (Srpk3-RC und Srpk3-RB). Diese beiden Transkripte haben unterschiedliche Transkriptions- und Translationsstartpunkte und unterscheiden sich in ihrem ersten kodierenden Exon, ab dem vierten Exon sind sie allerdings identisch. Das Srpk3-RCTranskript umfasst ca. 4,2 kb, das Srpk3-RB-Transkript ca. 3,8 kb. Die von diesen Transkripten kodierten Proteine bestehen aus 816 (Srpk3-RC) bzw. 749 (Srpk3-RB) Aminosäuren. Diese beiden ursprünglich annotierten Transkripte konnten durch RT-PCR-Experimente bestätigt werden. Dabei wurde auch ein zusätzliches, alternativ gespleißtes Exon von 159 bp entdeckt, das beiden Transkripten zugeordnet werden kann. Somit codiert der Srpk3-Genlokus für mindestens vier Transkripte, die Transkripte der RC/RF-Transkriptgruppe mit (Srpk3-RF) und ohne (Srpk3-RC) das alternativ gespleißte Exon und die Transkripte der RB/RETranskriptgruppe mit (Srpk3-RE) und ohne (Srpk3-RB) das alternativ gespleißte Exon. Die Existenz eines weiteren Transkriptes Srpk3-RD, die in der aktuellen Version der „Flybase“ annotiert ist, konnte durch RT-PCR-Experimente nicht nachgewiesen werden. Zu Beginn dieser Arbeit lag eine hypomorphe Mutante für die SRPK3 schon vor (Srpk3P1; Eberle, 1995). Diese Linie trägt eine P-Elementinsertion innerhalb des ersten Exons der RC/RF-Transkriptgruppe, die das Leseraster dieser Transkriptgruppe zerstört, so dass in dieser Linie nur die RB/RE-Transkriptgruppe gebildet werden kann. Wie bereits erwähnt, konnte diese Mutation in vorangegangenen Arbeiten bereits als der Auslöser der Aggregatbildung des Bruchpilot-Proteins in larvalen Motoneuronaxone, sowie einiger Verhaltensdefekte identifiziert werden (Nieratschker, 2004; Bock 2006). Diese Verhaltensdefekte ähneln stark denen, die durch einen knock-down der Bruchpilot-Expression mittels RNAi ausgelöst werden (Wagh et al., 2006; Bock, 2006), was auf eine Interaktion beider Proteine schließen lässt. Um nun den Beweis führen zu können, dass tatsächlich diese Mutation die beobachteten Phänotypen verursacht, wurden Rettungsversuche durchgeführt. Die Srpk3-RF-cDNA war dabei in der Lage die durch die hypomorphe Mutation der SRPK3 verursachten Phänotypen vollständig, oder zumindest teilweise zu retten (vgl. auch Bock, 2006; Bloch, 2007). Damit konnte belegt werden, dass die hypomorphe Mutation der SRPK3 tatsächlich die in der Mutante Srpk3P1 beobachteten Phänotypen verursacht. Um die durch in situ Hybridisierung erhaltenen Daten zur Lokalisation der SRPK3 im larvalen Gehirn (Nieratschker, 2004) bestätigen, sowie weitere Daten erhalten zu können, wurden Isoform-spezifische Antisera gegen die SRPK3 generiert. Diese Antiseren sind in der Lage überexprimiertes Protein zu detektieren (Bloch, 2007), allerdings ist es mit diesen Antiseren nicht möglich die SRPK3 in wildtypischen Präparaten nachzuweisen. Weitere Daten zur Lokalisation der SRPK3, die durch die Verwendung eines SRPK3-eGFPFusionsproteins erhalten wurden, zeigten, dass eine der ektopisch überexprimierten SRPK3- Isoformen mit Bruchpilot an der Aktiven Zone kolokalisiert. Dieses Ergebnis, in Verbindung mit den durch die Mutation der SRPK3 verursachten Bruchpilot-Aggregaten in larvalen Motoneuronaxonen und den Verhaltensdefekten, gibt Hinweise auf eine mögliche direkte Interaktion beider Proteine….