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All animals learn in order to cope with challenges imposed on them by their environment. This is true also for both larval and adult fruit flies as exemplified in pavlovian conditioning. The focus of this Thesis is on various aspects of the fruit flies learning ability. My main project deals with two types of learning which we call punishment-learning and pain-relief learning. Punishment learning happens when fruit flies are exposed to an odour which is followed by electric shock. After such training, flies have learned that that odour signals pain and consequently will avoid it in the future. If the sequence of the two stimuli is reversed such that odour follows shock, flies learn the odour as a signal for relief and will later on approach it. I first report a series of experiments investigating qualitative and parametric features of relief-learning; I find that (i) relief learning does result from true associative conditioning, (ii) it requires a relatively high number of training trials, (iii) context-shock training is ineffective for subsequent shock-odour learning. A further question is whether punishment-learning and pain-relief learning share genetic determinants. In terms of genetics, I test a synapsin mutant strain, which lacks all Synapsin protein, in punishment and relief-learning. Punishment learning is significantly reduced, and relief-learning is abolished. Pan-neuronal RNAi-mediated knock-down of Synapsin results in mutant-like phenotypes, confirming the attribution of the phenotype to lack of Synapsin. Also, a rescue of Synapsin in the mushroom body of syn97 mutants restores both punishment- and relief-learning fully, suggesting the sufficiency of Synapsin in the mushroom body for both these kinds of learning. I also elucidate the relationship between perception and physiology in adult fruit flies. I use odour-shock conditioning experiments to identify degrees of similarity between odours; I find that those similarity measures are consistent across generalization and discrimination tasks of diverse difficulty. Then, as collaborator of T. Völler and A. Fiala, I investigate how such behavioural similarity/dissimilarity is reflected at the physiological level. I combine the behaviour data with calcium imaging data obtained by measuring the activity patterns of those odours in either the sensory neurons or the projection neurons at the antennal lobe. Our interpretation of the results is that the odours perceptual similarity is organized by antennal lobe interneurons. In another project I investigate the effect of gustatory stimuli on reflexive behaviour as well as their role as reinforcer in larval learning. Drosophila larvae greatly alter their behaviour in presence of sodium chloride. Increasing salt concentration modulates choice behaviour from weakly appetitive to strongly aversive. A similar concentration-behaviour function is also found for feeding: larval feeding is slightly enhanced in presence of low salt concentrations, and strongly decreased in the presence of high salt concentrations. Regarding learning, relatively weak salt concentrations function as appetitive reinforcer, whereas high salt concentrations function as aversive reinforcer. Interestingly, the behaviour-concentration curves are shifted towards higher concentrations from reflexive behaviour (choice behaviour, feeding) as compared to associative learning. This dissociation may reflect a different sensitivity in the respective sensory-motor circuitry.
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.
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.