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Learning and memory is considered to require synaptic plasticity at presynaptic specializations of neurons. Kenyon cells are the intrinsic neurons of the primary olfactory learning center in the brain of arthropods – the mushroom body neuropils. An olfactory mushroom body memory trace is supposed to be located at the presynapses of Kenyon cells. In the calyx, a sub-compartment of the mushroom bodies, Kenyon cell dendrites receive olfactory input provided via projection neurons. Their output synapses, however, were thought to reside exclusively along their axonal projections outside the calyx, in the mushroom body lobes. By means of high-resolution imaging and with novel transgenic tools, we showed that the calyx of the fruit fly Drosophila melanogaster also comprised Kenyon cell presynapses. At these presynapses, synaptic vesicles were present, which were capable of neurotransmitter release upon stimulation. In addition, the newly identified Kenyon cell presynapses shared similarities with most other presynapses: their active zones, the sites of vesicle fusion, contained the proteins Bruchpilot and Syd-1. These proteins are part of the cytomatrix at the active zone, a scaffold controlling synaptic vesicle endo- and exocytosis. Kenyon cell presynapses were present in γ- and α/β-type KCs but not in α/β-type Kenyon cells.
The newly identified Kenyon cell derived presynapses in the calyx are candidate sites for an olfactory associative memory trace. We hypothesize that, as in mammals, recurrent neuronal activity might operate for memory retrieval in the fly olfactory system.
Moreover, we present evidence for structural synaptic plasticity in the mushroom body calyx. This is the first demonstration of synaptic plasticity in the central nervous system of Drosophila melanogaster. The volume of the mushroom body calyx can change according to changes in the environment. Also size and numbers of microglomeruli - sub-structures of the calyx, at which projection neurons contact Kenyon cells – can change. We investigated the synapses within the microglomeruli in detail by using new transgenic tools for visualizing presynaptic active zones and postsynaptic densities. Here, we could show, by disruption of the projection neuron - Kenyon cell circuit, that synapses of microglomeruli were subject to activity-dependent synaptic plasticity. Projection neurons that could not generate action potentials compensated their functional limitation by increasing the number of active zones per microglomerulus. Moreover, they built more and enlarged microglomeruli. Our data provide clear evidence for an activity-induced, structural synaptic plasticity as well as for the activity-induced reorganization of the olfactory circuitry in the mushroom body calyx.
Endogenous clocks regulate physiological as well as behavioral rhythms within all organisms. They are well investigated in D. melanogaster on a molecular as well as anatomical level. The neuronal clock network within the brain represents the center for rhythmic activity control. One neuronal clock subgroup, the pigment dispersing factor (PDF) neurons, stands out for its importance in regulating rhythmic behavior. These neurons express the neuropeptide PDF (pigment dispersing factor). A small neuropil at the medulla’s edge, the accessory medulla (AME), is of special interest, as it has been determined as the main center for clock control. It is not only highly innervated by the PDF neurons but also by terminals of all other clock neuron subgroups. Furthermore, terminals of the photoreceptors provide light information to the AME. Many different types of neurons converge within the AME and afterward spread to their next target. Thereby the AME is supplied with information from a variety of brain regions. Among these neurons are the aminergic ones whose receptors’ are expressed in the PDF neurons. The present study sheds light onto putative synaptic partners and anatomical arrangements within the neuronal clock network, especially within the AME, as such knowledge is a prerequisite to understand circadian behavior. The aminergic neurons’ conspicuous vicinity to the PDF neurons suggests synaptic communication among them. Thus, based on former anatomical studies regarding this issue detailed light microscopic studies have been performed. Double immunolabellings, analyses of the spatial relation of pre- and postsynaptic sites of the individual neuron populations with respect to each other and the identification of putative synaptic partners using GRASP reenforce the hypothesis of synaptic interactions within the AME between dopaminergic/ serotonergic neurons and the PDF neurons. To shed light on the synaptic partners I performed first steps in array tomography, as it allows terrific informative analyses of fluorescent signals on an ultrastructural level. Therefore, I tested different ways of sample preparation in order to achieve and optimize fluorescent signals on 100 nm thin tissue sections and I made overlays with electron microscopic images. Furthermore, I made assumptions about synaptic modulations within the neuronal clock network via glial cells. I detected their cell bodies in close vicinity to the AME and PDFcontaining clock neurons. It has already been shown that glial cells modulate the release of PDF from s-LNvs’ terminals within the dorsal brain. On an anatomical level this modulation appears to exist also within the AME, as synaptic contacts that involve PDF-positive dendritic terminals are embedded into glial fibers. Intriguingly, these postsynaptic PDF fibers are often VIIAbstract part of dyadic or even multiple-contact sites in opposite to prolonged presynaptic active zonesimplicating complex neuronal interactions within the AME. To unravel possible mechanisms of such synaptic arrangements, I tried to localize the ABC transporter White. Its presence within glial cells would indicate a recycling mechanism of transmitted amines which allows their fast re-provision. Taken together, synapses accompanied by glial cells appear to be a common arrangement within the AME to regulate circadian behavior. The complexity of mechanisms that contribute in modulation of circadian information is reflected by the complex diversity of synaptic arrangements that involves obviously several types of neuron populations
Memory is dynamic: shortly after acquisition it is susceptible to amnesic treatments, gets gradually consolidated, and becomes resistant to retrograde amnesia (McGaugh, 2000). Associative olfactory memory of the fruit fly Drosophila melanogaster also shows these features. After a single associative training where an odor is paired with electric shock (Quinn et al., 1974; Tully and Quinn, 1985), flies form an aversive odor memory that lasts for several hours, consisting of qualitatively different components. These components can be dissociated by mutations, their underlying neuronal circuitry and susceptibility to amnesic treatments (Dubnau and Tully, 1998; Isabel et al., 2004; Keene and Waddell, 2007; Masek and Heisenberg, 2008; Xia and Tully, 2007). A component that is susceptible to an amnesic treatment, i.e. anesthesia-sensitive memory (ASM), dominates early memory, but decays rapidly (Margulies et al., 2005; Quinn and Dudai, 1976). A consolidated anesthesia-resistant memory component (ARM) is built gradually within the following hours and lasts significantly longer (Margulies et al., 2005; Quinn and Dudai, 1976). I showed here that the establishment of ARM requires less intensity of shock reinforcement than ASM. ARM and ASM rely on different molecular and/or neuronal processes: ARM is selectively impaired in the radish mutant, whereas for example the amnesiac and rutabaga genes are specifically required for ASM (Dudai et al., 1988; Folkers et al., 1993; Isabel et al., 2004; Quinn and Dudai, 1976; Schwaerzel et al., 2007; Tully et al., 1994). The latter comprise the cAMP signaling pathway in the fly, with the PKA being its supposed major target (Levin et al., 1992). Here I showed that a synapsin null-mutant encoding the evolutionary conserved phosphoprotein Synapsin is selectively impaired in the labile ASM. Further experiments suggested Synapsin as a potential downstream effector of the cAMP/PKA cascade. Similar to my results, Synapsin plays a role for different learning tasks in vertebrates (Gitler et al., 2004; Silva et al., 1996). Also in Aplysia, PKA-dependent phosphorylation of Synapsin has been proposed to be involved in regulation of neurotransmitter release and short-term plasticity (Angers et al., 2002; Fiumara et al., 2004). Synapsin is associated with a reserve pool of vesicles at the presynapse and is required to maintain vesicle release specifically under sustained high frequency nerve stimulation (Akbergenova and Bykhovskaia, 2007; Li et al., 1995; Pieribone et al., 1995; Sun et al., 2006). In contrast, the requirement of Bruchpilot, which is homologous to the mammalian active zone proteins ELKS/CAST (Wagh et al., 2006), is most pronounced in immediate vesicle release (Kittel et al., 2006). Under repeated stimulation of a bruchpilot mutant motor neuron, immediate vesicle release is severely impaired whereas the following steady-state release is still possible (Kittel et al., 2006). In line with that, knockdown of the Bruchpilot protein causes impairment in clustering of Ca2+ channels to the active zones and a lack of electron-dense projections at presynaptic terminals (T-bars). Thus, less synaptic vesicles of the readily-releasable pool are accumulated to the release sites and their release probability is severely impaired (Kittel et al., 2006; Wagh et al., 2006). First, I showed that Bruchpilot is required for aversive olfactory memory and localized the requirement of Bruchpilot to the Kenyon cells of the mushroom body, the second-order olfactory interneurons in Drosophila. Furthermore, I demonstrated that Bruchpilot selectively functions for the consolidated anesthesia-resistant memory. Since Synapsin is specifically required for the labile anesthesia sensitive memory, different synaptic proteins can dissociate consolidated and labile components of olfactory memory and two different modes of neurotransmission (high- vs. low frequency dependent) might differentiate ASM and ARM.
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.
Finding the right behavior at the right time is one of the major tasks of brains. In a natural scenery there is often an abundance of stimuli present and the brain has to separate the relevant from the irrelevant ones. Selective visual attention (SVA) is a property of higher visual systems that achieves this separation, as it allows to ‘[…] focus on one source of sensory input to the exclusion of others’ (Luck and Mangun, 1996). There are probably several forms of SVA depending upon the criteria used for the separation, such as salience, color, location in space, novelty, or motion. Many studies have investigated SVA in humans and non-human primates. However, complex functions like attention were initially not expected to be already implemented in the brains of simple organisms like Drosophila. After a first demonstration of selective attention in the fly (Wolf and Heisenberg, 1980), it took some time until other studies included attentional mechanisms in their argumentation to explain certain behaviors of Drosophila. However, their definition and characterization of attention differed and often was ambiguous.
Here, one particular form, spatially selective visual attention in the fly Drosophila is investigated. It has been shown earlier that the fly spontaneously may restrict its behavioral responses in stationary flight to the visual stimuli on one side of the visual field. On the basis of experiments of Sareen et al., (2011) it has been conjectured that the fly has a focus of attention (FoA) and that the fly responds to the visual stimuli within this area of the visual field. Whether the FoA is the adequate concept for this spatial property of SVA in the fly needs to be further discussed and is a subject also of the present study. At this stage, the concept will be used in the description of the new results expanding the characterization of SVA.
This study continued the investigation of SVA during tethered flight with variable but controlled visual input and an automated primary data evaluation. This standardized paradigm allowed for analysis of wild-type behavior as well as for a comparison of several mutant and pharmacologically manipulated strains to the wild-type. Some properties of human SVA like the occurrence of externally as well as internally caused shifts of attention were found in Drosophila and it could be shown, that SVA in the fly can be externally guided and has an attention span. Additionally, a neurotransmitter and proteins, which play a significant role in SVA were discovered. Based on this, the genetic tools available for Drosophila provided the means to a first examination of cells and circuits involved in SVA. Finally, the free walk behavior of flies that had been shown to have compromised SVA was characterized. The results suggested that the observed phenotypes of SVA were not behavior specific.
Covert shifts of the FoA were investigated. The FoA can be externally guided by visual cues to one or the other side of the visual field and even after the cue has disappeared it remains there for <4s. An intriguing finding of this study is the fact, that the quality of the cue determines whether it is attractive or repellent. For example a cue can be changed from being repellent (negative) to being attractive (positive) by changing its oscillation amplitude from 4° to 2°. Testing the effectiveness of cues in the upper and lower visual field separately, revealed that the perception of a cue by the fly is not exclusively based on a sum of its specifications. Because positive cueing did not have an after-effect in each of the two half-fields alone, but did so if the cue was shown in both, the fly seems to evaluate the cue for each combination of parameters specifically. Whether this evaluation of the cue changed on a trial-to-trial basis or if the cue in some cases failed to shift the FoA can at this point not be determined.
Looking at the responses of the fly to the displacement of a black vertical stripe showed that they can be categorized as no responses, syn-directional responses (following the direction of motion of the stripe) and anti-directional responses (in the opposite direction of the motion of the stripe). The yaw-torque patterns of the latter bared similarities with spontaneous body saccades and they most likely represented escape attempts of the fly. Syn-directional responses, however, were genuine object responses, distinguishable by a longer latency until they were elicited and a larger amplitude. These properties as well as the distribution of response polarities were not influenced by the presence or absence of a cue. When two stripes were displaced simultaneously in opposite directions the rate of no responses increased in comparison to the displacement of a single stripe. If one of the stripes was cued, both, the responses towards and away from the side of cue resembled the syn-directional responses.
Significant progress was made with the elucidation of the neuronal underpinnings of SVA. Ablation of the mushroom bodies (MB) demonstrated their requirement for SVA. Furthermore, it was shown that dopamine signaling has to be balanced between too much and too little. Either inhibiting the synthesis of dopamine or its re-uptake at the synapse via the dDAT impaired the flies’ susceptibility to cueing. Using the Gal4/UAS system, cell specific expression or knockdown of the dDAT was used to scrutinize the role of MB sub-compartments in SVA. The αβ-lobes turned out to be necessary and sufficient to maintain SVA. The Gal4-line c708a labels only a subset of Kenyon cells (KC) within the αβ-lobes, αβposterior. These cells stand out, because of (A) the mesh-like arrangement of their fibers within the lobes and (B) the fact that unlike the other KCs they bypass the calyx and thereby the main source of olfactory input to the MBs, forming connections only in the posterior accessory calyx (Tanaka et al., 2008). This structure receives no or only marginal olfactory input, suggesting for it a role in tasks other than olfaction. This study shows their requirement in a visual task by demonstrating that they are necessary to uphold SVA. Restoring dDAT function in these approximately only 90 cells was probably insufficient to lower the dopamine concentration at the relevant synapses and hence a rescue failed. Alternatively, the processes mediating SVA at the αβ-lobes might require an interplay between all of their KCs. In conclusion, the results provide an initial point for future research to fully understand the localization of and circuitry required for SVA in the brain.
In the experiments described so far, attention has been externally guided. However, flies are also able to internally shift their FoA without any cues from the outside world. In a set of 60 consecutive simultaneous displacements of two stripes, they were more likely to produce a response with the same polarity as the preceding one than a random polarity selection predicted. This suggested a dwelling of the FoA on one side of the visual field. Assuming that each response was influenced by the previous one in a way that the probability to repeat the response polarity was increased by a certain factor (dwelling factor, df), a random selection of response type including a df was computed. Implementation of the df removed the difference between observed probability of polarity repetition and the one suggested by random selection. When the interval between displacements was iteratively increased to 5s, no significant df could be detected anymore for pauses longer than 4s. In conclusion, Drosophila has an attention span of approximately 4s. Flies with a mutation in the radish gene expressed no after-effect of cueing and had a shortened attention span of about 1s. The dDAT inhibitor methylphenidate is able to rescue the first, but does not affect the latter phenotype. Probably, radish is differently involved in the two mechanisms.
This study showed, that endogenous (covert) shifts of spatially selective visual attention in the fly Drosophila can be internally and externally guided. The variables determining the quality of a cue turned out to be multifaceted and a more systematic approach is needed for a better understanding of what property or feature of the cue changes the way it is evaluated by the fly. A first step has been made to demonstrate that SVA is a fundamental process and compromising it can influence the characteristics of other behaviors like walking. The existence of an attention span, the dependence of SVA on dopamine as well as the susceptibility to pharmacological manipulations, which in humans are used to treat respective diseases, point towards striking similarities between SVA in humans and Drosophila.
ATP dependent chromatin remodeling complexes are multifactorial complexes that utilize the energy of ATP to rearrange the chromatin structure. The changes in chromatin structure lead to either increased or decreased DNA accessibility. SWI/SNF is one of such complex. The SWI/SNF complex is involved in both transcription activation and transcription repression. The ATPase subunit of SWI/SNF is called SWI2/SNF2 in yeast and Brahma, Brm, in Drosophila melanogaster. In mammals there are two paralogs of the ATPase subunit, Brm and Brg1. Recent studies have shown that the human Brm is involved in the regulation of alternative splicing. The aim of this study was to investigate the role of Brm in pre-mRNA processing. The model systems used were Chironomus tentans, well suited for in situ studies and D. melanogaster, known for its full genome information. Immunofluorescent staining of the polytene chromosome indicated that Brm protein of C. tentans, ctBrm, is associated with several gene loci including the Balbiani ring (BR) puffs. Mapping the distribution of ctBrm along the BR genes by both immuno-electron microscopy and chromatin immunoprecipitation showed that ctBrm is widely distributed along the BR genes. The results also show that a fraction of ctBrm is associated with the nascent BR pre-mRNP. Biochemical fractionation experiments confirmed the association of Brm with the RNP fractions, not only in C. tentans but also in D. melanogaster and in HeLa cells. Microarray hybridization experiments performed on S2 cells depleted of either dBrm or other SWI/SNF subunits show that Brm affects alternative splicing and 3´ end formation. These results indicated that BRM affects pre-mRNA processing as a component of SWI/SNF complexes. 1
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.
The development of ethanol tolerance is due to changes in synaptic plasticity. Since the mechanisms mediating synaptic plasticity are probably defective in the mutant hangAE10, it was a goal of the present study to find out how HANG contributes to synaptic plasticity. In particular, it was important to clarify in which neuronal process HANG plays a role. Antibody stainings against HANG revealed that the protein is localized in all neuronal nuclei of larval and adult brains; the staining is absent in hangAE10, thus confirming that this P-element insertion stock is a protein null for HANG. Detailed analysis of the subnuclear distribution of HANG showed that HANG immunoreactivity is enriched at distinct spots in the nucleus in a speckled pattern; these speckles are found at the inside of the nuclear membrane and do not colocalize with chromatin nor with the nucleolus; thus, HANG is probably involved in the stabilization, processing or export of RNAs. As synaptic plasticity can be studied in single neurons at the larval neuromuscular junction, the morphology of the synaptic terminals of hangAE10 mutants was analyzed at muscle 6/7, segment A4. These studies revealed that hangAE10 mutants display a 40 % increase in bouton number and axonal branch length; in addition, some boutons have an abnormal hourglass-like shape, suggesting that they are arrested in a semi-separated state following the initiation of bouton division. The increase in bouton number of hang mutants is mainly due to an increase in numbers of type Ib boutons. The analysis of the distribution of several synaptic markers in hang mutants did not show abnormalities. The presynaptic expression of HANG in hang mutants rescues the increase in bouton number and axonal branch length, thus proving that the phenotypes seen in the P-element insertion hangAE10 are attributable to the lack of HANG rather than to effects of the P-element marker rosy or to a secondary hit on the same chromsome during mutagensis. This finding is further supported by the fact that postsynaptic expression of HANG does not rescue the abnormal NMJ morphology of hangAE10. Alterations in cAMP levels regulate the number of boutons; since hang mutants display an increase in bouton number, the questions was whether this morphological abnormality was due to defects in cAMP signalling. To test this hypothesis, hangAE10 NMJs were compared to those of the hypomorphic allele dnc1 that has a defective cAMP cascade. Some aspects of the NMJ phenotype (e.g. the increase in bouton number and the unaltered ratio of active zones per bouton area) are similar in hangAE10 and dnc1, other differ. Expression of a UAS-dnc transgene in hangAE10 mutants does not modify the phenotype. In summary, the results of this study indicate that nuclear protein HANG might be involved in isoform-specific splicing of genes required for synaptic plasticity at the NMJ.
PART I Animals need to constantly evaluate their external environment in order to survive. In some cases the internal state of the animal changes to cope with it’s surrounding. In our study we wanted to investigate the role of amines in modulating internal states of Drosophila. We have designed a behavioral paradigm where the flies are fixed in space but can walk on a small styrofoam ball suspended by a gentle stream of air. The walking activity of flies was used as behavioral readout. PART I Animals need to constantly evaluate their external environment in order to survive. In some cases the internal state of the animal changes to cope with it’s surrounding. In our study we wanted to investigate the role of amines in modulating internal states of Drosophila. We have designed a behavioral paradigm where the flies are fixed in space but can walk on a small styrofoam ball suspended by a gentle stream of air. The walking activity of flies was used as behavioral readout. An operant training paradigm was established by coupling one of the walking directions to incidence of heat punishment. We observed that animals quickly realized the contingency of punishment with walking direction and avoided walking in the punished direction in the presence of punishment, but did not continue walking in the unpunished direction in the absence of the punishment. This would indicate that the flies do not form a memory for the punished direction or rapidly erase it under new conditions. On having established the paradigm with heat punishment we have attempted to activate selected subsets of neuronal populations of Drosophila while they were walking on the ball. The selective activation of neurons was achieved by expressing the light-activated ion channel channelrhodopsin-2 (ChR2) using the Gal4-UAS system and coupling the unidirectional walking of the animals on the ball with the incidence of blue light required to activate the channels and depolarize the neurons. The feasibility of this approach was tested by light-activating sugar sensitive gustatory receptor neurons expressing ChR2, we found that when the light was actuated the flies preferred to turn in one direction the optically “rewarded” direction. Next we similarly activated different subsets of aminergic neurons. We observed that in our setup animals avoided to turn in the direction which was coupled to activation of dopaminergic neurons indicating that release of dopamine is disliked by the animals. This is in accordance with associative learning experiments where dopamine is believed to underlie the formation of an association between a neutral conditioned stimulus with the aversive unconditioned stimulus. However, when we activated tyraminergic/octopaminergic neurons we did not observe any directional preference. The activation of dopaminergic and tyraminergic/octopaminergic neurons led to arousal of the animals indicating that we were indeed successful in activating those neurons. Also, the activation of serotonergic neurons did not have any effect on directional preference of the animals. With this newly established paradigm it will be interesting to find out if in insects like in mammals a reward mediating system exists and to test subsets of aminergic or peptidergic neurons that could possibly be involved in a reward signaling system which has not been detected in our study. Also, it would be interesting to localize neuropile regions that would be involved in mediating choice behavior in our paradigm. PART II In collaboration with S. Kneitz (IZKF Wuerzburg) and T. Nuwal we performed genome-wide expression analysis of two pre-synaptic mutants - Synapsin (Syn97) and Synapse associated protein of 47 kDa (Sap47156). The rationale behind these experiments was to identify genes that were up- or down-regulated due to these mutations. The microarray experiments provided us with several candidate genes some of which we have verified by qPCR. From our qPCR analysis we can conclude that out of the verified genes only Cirl transcripts seem to be reproducibly down regulated in Synapsin mutants. The Cirl gene codes for a calcium independent receptor for latrotoxin. Further qPCR experiments need to be performed to verify other candidate genes. The molecular interactions between CIRL and SYN or their genes should now be investigated in detail.
Eine der größten Herausforderungen in der Neurobiologie ist es, die neuronalen Prozesse zu verstehen, die Lernen und Gedächtnis zugrundeliegen. Welche biochemischen Pfade liegen z.B. der Koinzidenzdetektion von Reizen (klassische Konditionierung) oder einer Handlung und ihren Konsequenzen (operante Konditionierung) zugrunde? In welchen neuronalen Unterstrukturen werden diese Informationen gespeichert? Wie ähnlich sind die Stoffwechselwege, die diese beiden Arten des assoziativen Lernens vermitteln und auf welchem Niveau divergieren sie? Drosophila melanogaster ist wegen der Verfügbarkeit von Lern-Paradigmen und neurogenetischen Werkzeugen ein geeigneter Modell-Organismus, zum diese Fragen zu adressieren. Er ermöglicht eine umfangreiche Studie der Funktion des Gens S6KII, das in der Taufliege in klassischer und operanter Konditionierung unterschiedlich involviert ist (Bertolucci, 2002; Putz et al., 2004). Rettungsexperimenten zeigen, dass die olfaktorische Konditionierung in der Tully Maschine (ein klassisches, Pawlow’sches Konditionierungsparadigma) von dem Vorhandensein eines intakten S6KII Gens abhängt. Die Rettung war sowohl mit einer vollständigen, als auch einer partiellen Deletion erfolgreich und dies zeigt, dass der Verlust der phosphorylierenden Untereinheit der Kinase die Hauptursache des Funktionsdefektes war. Das GAL4/UAS System wurde benutzt, um die S6KII Expression zeitlich und räumlich zu steuern. Es wurde gezeigt, dass die Expression der Kinase während des adulten Stadiums für die Rettung hinreichend war. Dieser Befund schließt eine Entwicklungsstörung als Ursache für den mutanten Phänotyp aus. Außerdem zeigte die gezielte räumliche Rettung von S6KII die Notwendigkeit der Pilzkörper und schloss Strukturen wie das mediane Bündel, die Antennalloben und den Zentralkomplex aus. Dieses Muster ist dem vorher mit der rutabaga Mutation identifizierten sehr ähnlich (Zars et al., 2000). Experimente mit der Doppelmutante rut, ign58-1 deuten an, dass rutabaga und S6KII im gleichen Signalweg aktiv sind. Vorhergehende Studien hatten bereits gezeigt, dass die unterschiedlichen Ergebnisse bei operanter und klassischer Konditionierung auf verschiedenen Rollen für S6KII in den zwei Arten des Lernens hindeuten (Bertolucci, 2002; Putz, 2002). Diese Schlussfolgerung wurde durch den mutanten Phänotyp der transgenen Linien in der Positionskonditionierung und ihr wildtypisches Verhalten in der klassischen Konditionierung zusätzlich bekräftigt. Eine neue Art von Lern-Experiment, genannt „Idle Experiment“, wurde entworfen. Es basiert auf der Konditionierung der Laufaktivität, stellt eine operante Aufgabenstellung dar und überwindet einige der Limitationen des „Standard“ Heat-Box Experimentes. Die neue Art des Idle Experimentes erlaubt es, „gelernte Hilflosigkeit“ in Fliegen zu erforschen, dabei zeigte sich eine erstaunliche Ähnlichkeit zu den Vorgängen in komplizierteren Organismen wie Ratten, Mäusen oder Menschen. Gelernte Hilflosigkeit in der Taufliege wurde nur in den Weibchen beobachtet und wird von Antidepressiva beeinflusst.