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Die Zusammenlageurng spleißosomaler UsnRNPs erfolgt beim Menschen und anderen Vertebraten durch den makromolekularen SMN-Komplex. Dieser besteht aus insgesamt neun Proteinen, genannt SMN und Gemin2-8. In dieser Arbeit wurde die Evolution dieser molekularen Maschine untersucht. Dazu wurden die Genome mehrerer Modellorganismen bioinformatisch nach Orthologen von SMN und seinen Komplexpartnern durchsucht. Es zeigte sich, dass SMN und Gemin2 die Kernkomponenten des Komplexes darstellen. Von diesen ausgehend kamen weitere Komponenten im Laufe der Evolution hinzu und zwar blockweise, wie es ihrer physischen Assoziation im humanen Komplex entspricht. Um diese Befunde einer biochemischen Überprüfung zu unterziehen, wurde ein neues Affinitätsepitop, das TagIt-Epitop, entwickelt. Nach stabiler Transfektion von Drosophila Schneider2-Zellen konnte das Fusionsprotein effizient exprimiert und der Drosophila-SMN-Komplex nativ aufgereinigt werden. Die massenspektrometrische Untersuchung des Komplexes zeigte, dass SMN und Gemin2 seine einzigen stöchiometrischen Komponenten sind. Dies ist in eindrucksvoller Übereinstimmung mit den bioinformatischen Daten. Der aufgereinigte Komplex lagert in vitro Sm-Proteine mit der entsprechenden UsnRNA zum UsnRNP-core-Komplex zusammen. Diese Ergebnisse ließen sich nach rekombinanter Rekonstitution des SMN/Gemin2-Dimers rekapitulieren. Dabei zeigte sich, dass der SMN-Komplex die unkoordinierte Bindung der Sm-Proteine an „falsche“ RNAs verhindert. Folglich genügen SMN und Gemin2 zur Zusammenlagerung des Sm-core-Komplexes, während die übrigen Gemine weitere Funktionen im Kontext der UsnRNP-Biogenese spielen könnten. Aus evolutionsbiologischer Sichtweise ist der SMN-Komplex aus Drosophila ein eindrückliches Beispiel, wie die Vereinfachung eines biochemischen Prozesses zur Kompaktierung des Genoms beitragen kann.
Vertebrate and invertebrate visual systems exhibit similarities in early stages of visual processing. For instance, in the human brain, the modalities of color, form and motion are separately processed in parallel neuronal pathways. This basic property is also found in the fly Drosophila melanogaster which has a similar division in color- sensitive and (color blind) motion-sensitive pathways that are determined by two distinct subsets of photoreceptors (the R1-6 and the R7/8 system, respectively). Flies have a highly organized visual system that is characterized by its repetitive, retinotopic organization of four neuropils: the lamina, the medulla, the lobula and the lobula plate. Each of these consists of columns which contain the same set of neurons. In the lamina, axon bundles of six photoreceptors R1-6 that are directed towards the same point in space form columnar structures called cartridges. These are the visual sampling units and are associated with four types of first-order interneuron that receive common input from R1-6: L1, L2, L3 and the amacrine cells (amc, together with their postsynaptic partner T1). They constitute parallel pathways that have been studied in detail at the anatomical level. Little is known, however, about their functional role in processing behaviorally relevant information, e.g. for gaze stabilization, visual course control or the fixation of objects. The availability of a variety of neurogenetic tools for structure-function analysis in Drosophila allowed first steps into the genetic dissection of the neuronal circuitry mediating motion and position detection. In this respect, the choice of the effector turned out to be crucial. Surprisingly, it was found that the clostridial tetanus neurotoxin failed to block mature Drosophila photoreceptor synapses, but caused irreversible damage when expressed during their development. Therefore, the dominant-negative shibire allele shits1 which turned out to be better suited was used for blocking lamina interneurons and thereby analyzing the necessity of the respective pathways. To determine whether the latter were also sufficient for the same behavioral task, the inverse strategy was developed, based on the fact that lamina interneurons express histamine receptors encoded by the ort gene. The specific rescue of ort function in defined channels in an otherwise mutant background allowed studying their sufficiency in a given task. Combining these neurogenetic methods with the optomotor response and object induced orientation behavior as behavioral measures, the aim of the present thesis was to answer the following questions: (a) Which pathways feed into elementary motion detectors and which ones are necessary and/or sufficient for the detection of directional motion? (b) Do pathways exist which specifically mediate responses to unidirectional motion? (c) Which pathways are necessary and/or sufficient for object induced orientation behavior? Some basic properties of the visual circuitry were revealed: The two central cartridge pathways, represented by the large monopolar cells L1 and L2, are key players in motion detection. Under a broad range of stimulatory conditions, the two subsystems are redundant and are able to process motion independently of each other. To detect an impairment when only one of the pathways is intact, one has to drive the system to its operational limits. At low signal to noise ratios, i.e. at low pattern contrast or low background illumination, the L2 pathway has a higher sensitivity. At intermediate pattern contrast, both pathways are specialized in mediating responses to unidirectional motion of opposite stimulus direction. In contrast, neither the L3, nor the amc/T1 pathway is necessary or sufficient for motion detection. While the former may provide position information for orientation, the latter has a modulatory role at intermediate pattern contrast. Orientation behavior turned out to be even more robust than motion vision and may utilize a less sophisticated mechanism, as it does not require a nonlinear comparison of signals from neighboring visual sampling units. The position of objects is processed in several redundant pathways, involving both receptor subsystems. The fixation of objects does not generally require motion vision. However, motion detection improves the fixation of landmarks, especially when these are narrow or have a reduced contrast.
Es sollten neuronale Netzwerke in Drosophila melanogaster identifiziert werden, die in die Entwicklung von ethanolinduziertem Verhalten involviert sind. Mittels der Tyramin-beta-Hydroxylase (TbH) wird der letzte Schritt der Biosynthese von Oktopamin aus Tyramin gewährleistet. TbHM18 Mutanten entwickeln eine reduzierte Ethanoltoleranz und haben keine nachweisbaren Oktopamin Konzentrationen (MONASTIRIOTI et al. 1996; SCHOLZ et al. 2000). Die molekulargenetische Ursache dieser Mutante wurde näher untersucht. Wahrscheinlich ist die Deletion von einem Teil des Intron 1, des Exon 2 und einem Teil des Intron 2 des TbH-Gens verantwortlich für den Verlust der Tyramin-beta-Hydroxylase. Die Deletion der kodierenden Sequenz führt jedoch nicht zu einem Leserasterschub in der Aminosäuresequenz. Demzufolge könnte ein verkürztes Protein hergestellt werden. Ferner gibt es zwei Transkripte des TbH-Gens, woraus eventuell zwei Proteine exprimiert werden könnten. Ein Protein wäre die Tyramin-beta-Hydroxylase und das andere könnte eine Dopamin-beta-Hydroxylase sein. Um möglicherweise spezifische putative Subsets von TH-positiven Neuronen zu markieren, wurden verschiedene GAL4-Treiberlinien mit Hilfe unterschiedlicher Fragmente der Promoterregion des TbH-Gens hergestellt. Mittels des GAL4/UAS Systems konnte die Neurotransmitterausschüttung in putativen TbH-positiven Neuronen der TbH-GAL4-Linien inhibiert werden. Auf diese Weise sollte die Funktion der putativen TbH-positiven Neurone während der Entwicklung von Ethanolsensitivität und Toleranz untersucht werden. Das Transgen Tetanustoxin wurde mit der 1.3TbH-GAL4 Treiberlinie in einem bestimmten Set von Neuronen exprimiert. Die Inhibition der Synaptobrevin-abhängigen Neurotransmission in den 1.3TH-GAL4-positiven Neuronen beeinflusst nicht das ethanolinduzierte Verhalten. Hingegen das Ausschalten der Erregbarkeit der Zellen mit Hilfe eines UAS-Kir2.1 Transgens resultiert in erhöhter Resistenz gegenüber Ethanol. Das heißt, dass Synaptobrevin-unabhängige zelluläre Mechanismen der Zellen notwendig sind, um ethanolinduziertes Verhalten zu regulieren. Die 1.3TbH-GAL4-Linie exprimiert in einem sehr spezifischen Subset von Neuronen GAL4, bzw. Effektoren. Insgesamt werden ≈ 10 Zellen detektiert. Davon liegen die Somata zweier Neurone caudal und projizieren in die Region der ersten und vierten Bande des Fächerförmigen Körpers. Weitere kleine Ansammlungen von acht Zellen können um den Ösophagus und im Bereich des Subösophagialganglion verzeichnet werden. Die mit GFP markierten Neurone exprimieren wahrscheinlich kein Oktopamin. Ferner resultierte die Inhibition der synaptischen Transmission von 6.2TbH-GAL4-positiven Neuronen, mit Hilfe von Tetanustoxin, in einer erhöhten Ethanolsensitivität. Ebenfalls zu einer ethanolinduzierten Verhaltensänderung führt die Inaktivierung der 6.2TbH-GAL4 Zellen mittels eines UAS-Kir2.1 Transgens. Dabei entwickeln die Fliegen eine erhöhte Ethanolresistenz. Somit wäre möglich, dass die Entwicklung von Ethanolsensitivität und Resistenz über verschiedene zelluläre Mechanismen reguliert werden. Die 6.2TbH-GAL4-Linie ermöglicht die Transgen-Expression in 65-70 Neuronen. Diese innerverieren u.a. das Subösophagialganglion, den Ösophagus, den Ellipsoid Körper, das laterale und das dorso-laterale Protocerebrum. Fünf der Neurone, die sich durch die 6.2TbH-GAL4 Treiberlinie markieren lassen, exprimieren Oktopamin. Dazu gehört ein VUM-Neuron und vier große caudale Zellen. Eine weitere putativ oktopaminerge GAL4-Linie Tdc2-GAL4 wurde mit der UAS-Kir2.1 Effektorlinie gekreuzt und die Nachkommen im Inebriometer gemessen. Bei Inaktivierung der Erregbarkeit der Tdc2-positiven Neurone resultiert dies in einer erhöhten Ethanolsensitivität, hingegen in keiner Veränderung der Toleranz. Die reduzierten Levels an Oktopamin spielen dabei wahrscheinlich eine Rolle. Hingegen regulieren eventuelle neurosekretorische Zellen über andere Mechanismen die Ethanolresistenz, wie die 6.2TbH-GAL4, UAS-Kir2.1 Fliegen zeigen. Es konnte gezeigt werden, dass unterschiedliche Neuronencluster für verschiedene ethanolinduzierte Verhaltensantworten verantwortlich sind. Da wahrscheinlich neurosekretorische Zellen des PI die Ethanolresistenz beeinflussen (RODAN et al. 2002), hingegen den Zentralkomplex-innervierende Zellen eher für die Entwicklung von Ethanolsensitivität und Toleranz notwendig sind (URIZAR et al. 2007).
Since the fruit fly Drosophila melanogaster entered the laboratories as a model organism, new genetic, physiological, molecular and behavioral techniques for the functional analysis of the brain rapidly accumulated. Nowadays this concerted assault obtains its main thrust form Gal4 expression patterns that can be visualized and provide the means for manipulating -in unrestrained animals- groups of neurons of the brain. To take advantage of these patterns one needs to know their anatomy. This thesis describes the Virtual Insect Brain (VIB) protocol, a software package for the quantitative assessment, comparison, and presentation of neuroanatomical data. It is based on the 3D-reconstruction and visualization software Amira (Mercury Inc.). Its main part is a standardization procedure which aligns individual 3D images (series of virtual sections obtained by confocal microscopy) to a common coordinate system and computes average intensities for each voxel (volume pixel). The VIB protocol facilitates direct comparison of gene expression patterns and describes their interindividual variability. It provides volumetry of brain regions and helps to characterize the phenotypes of brain structure mutants. Using the VIB protocol does not require any programming skills since all operations are carried out at a (near to) self-explanatory graphical user interface. Although the VIB protocol has been developed for the standardization of Drosophila neuroanatomy, the program structure can be used for the standardization of other 3D structures as well. Standardizing brains and gene expression patterns is a new approach to biological shape and its variability. Using the VIB protocol consequently may help to integrate knowledge on the correlation of form and function of the insect brain. The VIB protocol provides a first set of tools supporting this endeavor in Drosophila. The software is freely available at http://www.neurofly.de.
Die Technik des optischen Imaging unter Verwendung DNA-codierter Sensoren ermöglicht es, Messungen neuraler Aktivitäten in genetisch definierten Populationen von Neuronen durchzuführen. In der Vielzahl der verschiedenen entwickelten Sensoren konnten die Calciumsensoren bisher das beste Verhältnis zwischen Signal und Rauschen und die beste zeitliche Auflösung aufzeigen. Hierbei handelt es sich in erster Linie um zwei Typen von Sensoren, zum einen ratiometrische Sensoren, deren Signal auf einem Fluoreszenz Resonanz Energie Transfer (FRET) basiert, und zum anderen um zirkulär permutierte Sensoren, die auf einem modifizierten GFP-Molekül basieren, wobei das Signal auf einer veränderten Protonierung des Chromophors beruht. Beide Arten dieser Sensoren wurden schon erfolgreich zum Messen neuraler Aktivitäten in Nervensystemen verschiedener Tierarten verwendet. Ein Teil dieser Arbeit bestand darin, zu untersuchen, welche Sensoren sich für die Messung an einem lebenden Organismus am besten eignen. Hierfür wurden die Eigenschaften von vier verschiedenen FRET basierten Sensoren und zwei der zyklisch permutierten Sensoren nach Expression im zentralen Nervensystem von Drosophila charakterisiert. Die Sensoren wurden in Neuronen zweiter und dritter Ordnung des olfaktorischen Signalwegs exprimiert und ihre Antworten auf physiologische Duftstimulation oder artifiziell induzierte Depolarisation des Gehirns untersucht. Während die calciumabhängigen Signale der zyklisch permutierten Sensoren in der Regel größer waren als die der FRET basierten Sensoren, zeichneten sich letztere durch ein besseres Signal zu Rausch-Verhältnis aus, wenn Bewegungen der fluoreszierenden Strukturen nicht zu vermeiden waren. Dies war auch der ausschlaggebende Grund für die Verwendung eines FRET basierten Sensors im anschließenden Teil der Arbeit. Im zweiten Teil der Arbeit wurde der Effekt untersucht, den die Paarung eines neutralen Stimulus mit einem bestrafenden Stimulus auf dopaminerge Neurone hat. Eine solche Paarung kann zu einer klassischen Konditionierung führen, einer einfachen Form des Lernens, in welcher das Tier einem ursprünglich neutralen Stimulus einen Wert zuordnet, und dadurch sein Verhalten dem Stimulus gegenüber ändert. Die olfaktorische klassische Konditionierung in Drosophila wird seit vielen Jahren intensiv untersucht, um die molekularen und neuronalen Grundlagen von Lernen und Gedächtnis zu charakterisieren. Dabei hat sich gezeigt, dass besonders die Pilzkörper von essentieller Bedeutung für die Ausbildung eines olfaktorischen Gedächtnisses sind. Während das olfactorische System bei Insekten bereits detailiert analysiert wurde, ist über die Neurone, die den bestrafenden Stimulus vermitteln, nur sehr wenig bekannt. Unter Anwendung des funktionellen optischen Calcium Imaging konnte im Rahmen der Arbeit gezeigt werden, dass die Projektionen von dopaminergen Neuronen im Bereich der Loben der Pilzkörper schwach auf die Präsentation eines Duftes, jedoch sehr stark auf eine Stimulation durch einen Elektroschock antworten. Nach mehrmaliger Paarung eines Duftes mit einem Elektroschock während eines Trainings, verlängert sich die Aktivität dieser dopaminergen Neurone auf den bestraften Duft hin im Test ohne Elektroschock drastisch, während die Antwort auf den Kontrollduft keine signifikanten Veränderungen aufweist. Während bei Säugetieren belohnende Reize bei appetitiven Lernvorgängen über dopaminerge Neurone vermittelt werden, spielen bei Drosophila diese Neurone offensichtlich eine Rolle bei der aversiven Konditionierung. Jedoch blieb, auch wenn sich die Rolle des Dopamins im Laufe der Evolution geändert zu haben scheint, die Fähigkeit dieses Neuronentyps, nicht nur auf einen eintreffenden verstärkenden Stimulus zu reagieren, sondern diesen auch vorhersagen zu können, zwischen Säugern und Drosophila erhalten.
In this thesis two genes involved in causing neurodegenerative phenotypes in Drosophila are described. olk (omb-like), a futsch allele, is a micotubule associated protein (MAP) which is homologous to MAP1B and sws (swiss cheese) a serine esterase of yet unknown function within the nervous system. The lack of either one of these genes causes progressive neurodegeneration in two different ways. The sws mutant is characterized by general degeneration of the adult nervous system, glial hyperwrapping and neuronal apoptosis. Deletion of NTE (neuropathy target esterase), the SWS homolog in vertebrates, has been shown to cause a similar pattern of progressive neural degeneration in mice. NTE reacts with organophosphates causing axonal degeneration in humans. Inhibition of vertebrate NTE is insufficient to induce paralyzing axonal degeneration, a reaction called "aging reaction" is necessary for the disease to set in. It is hypothesized that a second "non-esterase" function of NTE is responsible for this phenomenon. The biological function of SWS within the nervous system is still unknown. To characterize the function of this protein several transgenic fly lines expressing different mutated forms of SWS were established. The controlled expression of altered SWS protein with the GAL4/UAS system allowed the analysis of isolated parts of the protein that were altered in the respective constructs. The characterization of a possible non-esterase function was of particular interest in these experiments. One previously described aberrant SWS construct lacking the first 80 amino acids (SWSΔ1-80) showed a deleterious, dominant effect when overexpressed and was used as a model for organophosphate (OP) intoxication. This construct retains part of its detrimental effect even without catalytically active serine esterase function. This strongly suggests that there is another characteristic to SWS that is not defined solely by its serine esterase activity. Experiments analyzing the lipid contents of sws mutant, wildtype (wt) and SWS overexpressing flies gave valuable insights into a possible biological function of SWS. Phosphatidylcholine, a major component of cell membranes, accumulates in sws mutants whereas it is depleted in SWS overexpressing flies. This suggests that SWS is involved in phosphatidylcholine regulation. The produced α-SWS antibody made it possible to study the intracellular localization of SWS. Images of double stainings with ER (endoplasmic reticulum) markers show that SWS is in great part localized to the ER. This is consistent with findings of SWS/ NTE localization in yeast and mouse cells. The olk mutant also shows progressive neurodegeneration but it is more localized to the olfactory system and mushroom bodies. Regarding specific cell types it seemed that specifically the projection neurons (PNs) are affected. A behavioral phenotype consisting of poor olfactory memory compared to wt is also observed even before histologically visible neurodegeneration sets in. Considering that the projection neurons connect the antennal lobes to the mushroom bodies, widely regarded as the "learning center", this impairment was expected. Three mutants where identified (olk1-3) by complementation analysis with the previously known futschN94 allele and sequencing of the coding sequence of olk1 revealed a nonsense mutation early in the protein. Consistent with the predicted function of Futsch as a microtubule associated protein (MAP), abnormalities are most likely due to a defective microtubule network and defects in axonal transport. In histological sections a modified cytoskeletal network is observed and western blots confirm a difference in the amount of tubulin present in the olk1 mutant versus the wt. The elaboration of neuronal axons and dendrites is dependent on a functional cytoskeleton. Observation of transport processes in primary neural cultures derived from olk1 mutant flies also showed a reduction of mitochondrial transport. Interaction with the fragile X mental retardation gene (dfmr1) was observed with the olk mutant. A dfmr1/ olk1 double mutant shows an ameliorated phenotype compared to the olk1 single mutant. tau, another MAP gene, was also shown to be able to partially rescue the olk1 mutant.
Sugar reward learning in Drosophila : neuronal circuits in Drosophila associative olfactory learning
(2006)
Genetic intervention in the fly Drosophila melanogaster has provided strong evidence that the mushroom bodies of the insect brain act as the seat of memory traces for aversive and appetitive olfactory learning (reviewed in Heisenberg, 2003). In flies, electroshock is mainly used as negative reinforcer. Unfortunately this fact complicates a comparative consideration with other inscets as most studies use sugar as positive reinforcer. For example, several lines of evidence from honeybee and moth have suggested another site, the antennal lobe, to house neuronal plasticity underlying appetitive olfactory memory (reviewed in Menzel, 2001; Daly et al., 2004). Because of this I focused my work mainly on appetitive olfactory learning. In the first part of my thesis, I used a novel genetic tool, the TARGET system (McGuire et al., 2003), which allows the temporally controlled expression of a given effector gene in a defined set of cells. Comparing effector genes which either block neurotransmission or ablate cells showed important differences, revealing that selection of the appropriate effector gene is critical for evaluating the function of neural circuits. In the second part, a new engram of olfactory memory in the Drosophila projection neurons is described by restoring Rutabaga adenlylate cyclase (rut-AC) activity specifically in these cells. Expression of wild-type rutabaga in the projection neurons fully rescued the defect in sugar reward memory, but not in aversive electric shock memory. No difference was found in the stability of the appetitive memories rescued either in projection neurons or Kenyon cells. In the third part of the thesis I tried to understand how the reinforcing signals for sugar reward are internally represented. In the bee Hammer (1993) described a single octopaminergic neuron – called VUMmx1 – that mediates the sugar stimulus in associative olfactory reward learning. Analysis of single VUM neurons in the fly (Selcho, 2006) identified a neuron with a similar morphology as the VUMmx1 neuron. As there is a mutant in Drosophila lacking the last enzymatic step in octopamine synthesis (Monastirioti et al., 1996), Tyramine beta Hydroxylase, I was able to show that local Tyramine beta Hydroxylase expression successfully rescued sugar reward learning. This allows to conclude that about 250 cells including the VUM cluster are sufficient for mediating the sugar reinforcement signal in the fly. The description of a VUMmx1 similar neuron and the involvement of the VUM cluster in mediating the octopaminergic sugar stimulus are the first steps in establishing a neuronal map for US processing in Drosophila. Based on this work several experiments are contrivable to reach this ultimate goal in the fly. Taken together, the described similiarities between Drosophila and honeybee regarding the memory organisation in MBs and PNs and the proposed internal representation of the sugar reward suggest an evolutionarily conserved mechanism for appetitive olfactory learning in insects.
It has been known for a long time that Drosophila can learn to discriminate not only between different odorants but also between different concentrations of the same odor. Olfactory associative learning has been described as a pairing between odorant and electric shock and since then, most of the experiments conducted in this respect have largely neglected the dual properties of odors: quality and intensity. For odorant-coupled short-term memory, a biochemical model has been proposed that mainly relies on the known cAMP signaling pathway. Mushroom bodies (MB) have been shown to be necessary and sufficient for this type of memory, and the MB-model of odor learning and short-term memory was established. Yet, theoretically, based on the MB-model, flies should not be able to learn concentrations if trained to the lower of the two concentrations in the test. In this thesis, I investigate the role of concentration-dependent learning, establishment of a concentration-dependent memory and their correlation to the standard two-odor learning as described by the MB-model. In order to highlight the difference between learning of quality and learning of intensity of the same odor I have tried to characterize the nature of the stimulus that is actually learned by the flies, leading to the conclusion that during the training flies learn all possible cues that are presented at the time. The type of the following test seems to govern the usage of the information available. This revealed a distinction between what flies learned and what is actually measured. Furthermore, I have shown that learning of concentration is associative and that it is symmetrical between high and low concentrations. I have also shown how the subjective quality perception of an odor changes with changing intensity, suggesting that one odor can have more than one scent. There is no proof that flies perceive a range of concentrations of one odorant as one (odor) quality. Flies display a certain level of concentration invariance that is limited and related to the particular concentration. Learning of concentration is relevant only to a limited range of concentrations within the boundaries of concentration invariance. Moreover, under certain conditions, two chemically distinct odorants could smell sufficiently similarly such, that they can be generalized between each other like if they would be of the same quality. Therefore, the abilities of the fly to identify the difference in quality or in intensity of the stimuli need to be distinguished. The way how the stimulus is analyzed and processed speaks in favor of a concept postulating the existence of two separated memories. To follow this concept, I have proposed a new form of memory called odor intensity memory (OIM), characterized it and compared it to other olfactory memories. OIM is independent of some members of the known cAMP signaling pathway and very likely forms the rutabaga-independent component of the standard two-odor memory. The rutabaga-dependent odor memory requires qualitatively different olfactory stimuli. OIM is revealed within the limits of concentration invariance where the memory test gives only sub-optimal performance for the concentration differences but discrimination of odor quality is not possible at all. Based on the available experimental tools, OIM seems to require the mushroom bodies the same as odor-quality memory but its properties are different. Flies can memorize the quality of several odorants at a given time but a newly formed memory of one odor interferes with the OIM stored before. In addition, the OIM lasts only 1 to 3 hours - much shorter than the odor-quality memory.
In this thesis, I introduce the Virtual Brain Protocol, which facilitates applications of the Standard Brain of Drosophila melanogaster. By providing reliable and extensible tools for the handling of neuroanatomical data, this protocol simplifies and organizes the recurring tasks involved in these applications. It is demonstrated that this protocol can also be used to generate average brains, i.e. to combine recordings of several brains with the same features such that the common features are emphasized. One of the most important steps of the Virtual Insect Protocol is the aligning of newly recorded data sets with the Standard Brain. After presenting methods commonly applied in a biological or medical context to align two different recordings, it is evaluated to what extent this alignment can be automated. To that end, existing Image Processing techniques are assessed. I demonstrate that these techniques do not satisfy the requirements needed to guarantee sensible alignments between two brains. Then, I analyze what needs to be taken into account in order to formulate an algorithm which satisfies the needs of the protocol. In the last chapter, I derive such an algorithm using methods from Information Theory, which bases the technique on a solid mathematical foundation. I show how Bayesian Inference can be applied to enhance the results further. It is demonstrated that this approach yields good results on very noisy images, detecting apparent boundaries between structures. The same approach can be extended to take additional knowledge into account, e.g. the relative position of the anatomical structures and their shape. It is shown how this extension can be utilized to segment a newly recorded brain automatically.
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.