@phdthesis{Brembs2000,
  author    = {Brembs, Bj{\"o}rn},
  title     = {An Analysis of Associative Learning in Drosophila at the Flight Simulator},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-1039},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2000},
  abstract  = {Most natural learning situations are of a complex nature and consist of a tight conjunction of the animal's behavior (B) with the perceived stimuli. According to the behavior of the animal in response to these stimuli, they are classified as being either biologically neutral (conditioned stimuli, CS) or important (unconditioned stimuli, US or reinforcer). A typical learning situation is thus identified by a three term contingency of B, CS and US. A functional characterization of the single associations during conditioning in such a three term contingency has so far hardly been possible. Therefore, the operational distinction between classical conditioning as a behavior-independent learning process (CS-US associations) and operant conditioning as essentially behavior-dependent learning (B-US associations) has proven very valuable. However, most learning experiments described so far have not been successful in fully separating operant from classical conditioning into single-association tasks. The Drosophila flight simulator in which the relevant behavior is a single motor variable (yaw torque), allows for the first time to completely separate the operant (B-US, B-CS) and the classical (CS-US) components of a complex learning situation and to examine their interactions. In this thesis the contributions of the single associations (CS-US, B-US and B-CS) to memory formation are studied. Moreover, for the first time a particularly prominent single association (CS-US) is characterized extensively in a three term contingency. A yoked control shows that classical (CS-US) pattern learning requires more training than operant pattern learning. Additionally, it can be demonstrated that an operantly trained stimulus can be successfully transferred from the behavior used during training to a new behavior in a subsequent test phase. This result shows unambiguously that during operant conditioning classical (CS-US) associations can be formed. In an extension to this insight, it emerges that such a classical association blocks the formation of an operant association, which would have been formed without the operant control of the learned stimuli. Instead the operant component seems to develop less markedly and is probably merged into a complex three-way association. This three-way association could either be implemented as a sequential B-CS-US or as a hierarchical (B-CS)-US association. The comparison of a simple classical (CS-US) with a composite operant (B, CS and US) learning situation and of a simple operant (B-US) with another composite operant (B, CS and US) learning situation, suggests a hierarchy of predictors of reinforcement. Operant behavior occurring during composite operant conditioning is hardly conditioned at all. The associability of classical stimuli that bear no relation to the behavior of the animal is of an intermediate value, as is operant behavior alone. Stimuli that are controlled by operant behavior accrue associative strength most easily. If several stimuli are available as potential predictors, again the question arises which CS-US associations are formed? A number of different studies in vertebrates yielded amazingly congruent results. These results inspired to examine and compare the properties of the CS-US association in a complex learning situation at the flight simulator with these vertebrate results. It is shown for the first time that Drosophila can learn compound stimuli and recall the individual components independently and in similar proportions. The attempt to obtain second-order conditioning with these stimuli, yielded a relatively small effect. In comparison with vertebrate data, blocking and sensory preconditioning experiments produced conforming as well as dissenting results. While no blocking could be found, a sound sensory preconditioning effect was obtained. Possible reasons for the failure to find blocking are discussed and further experiments are suggested. The sensory preconditioning effect found in this study is revealed using simultaneous stimulus presentation and depends on the amount of preconditioning. It is argued that this effect is a case of 'incidental learning', where two stimuli are associated without the need of reinforcement. Finally, the implications of the results obtained in this study for the general understanding of memory formation in complex learning situations are discussed.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Yarali2008,
  author    = {Yarali, Ayse},
  title     = {Aspects of predictive learning in the fruit fly},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-28741},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {Past experience contributes to behavioural organization mainly via learning: Animals learn otherwise ordinary cues as predictors for biologically significant events. This thesis studies such predictive, associative learning, using the fruit fly Drosophila melanogaster. I ask two main questions, which complement each other: One deals with the processing of those cues that are to be learned as predictors for an important event; the other one deals with the processing of the important event itself, which is to be predicted. Do fruit flies learn about combinations of olfactory and visual cues? I probe larval as well as adult fruit flies for the learning about combinations of olfactory and visual cues, using a so called 'biconditional discrimination' task: During training, one odour is paired with reinforcement only in light, but not in darkness; the other odour in turn is reinforced only in darkness, but not in light. Thus, neither the odours nor the visual conditions alone predict reinforcement, only combinations of both do. I find no evidence that either larval or adult fruit flies were to solve such task, speaking against a cross-talk between olfactory and visual modalities. Previous studies however suggest such cross-talk. To reconcile these results, I suggest classifying different kinds of interaction between sensory modalities, according to their site along the sensory-motor continuum: I consider an interaction 'truly' cross-modal, if it is between the specific features of the stimuli. I consider an interaction 'amodal' if it instead engages the behavioural tendencies or 'values' elicited by each stimulus. Such reasoning brings me to conclude that different behavioural tasks require different kinds of interaction between sensory modalities; whether a given kind of interaction will be found depends on the neuronal infrastructure, which is a function of the species and the developmental stage. Predictive learning of pain-relief in fruit flies Fruit flies build two opposing kinds of memory, based on an experience with electric shock: Those odours that precede shock during training are learned as predictors for punishment and are subsequently avoided; those odours that follow shock during training on the other hand are learned as signals for relief and are subsequently approached. I focus on such relief learning. I start with a detailed parametric analysis of relief learning, testing for reproducibility as well as effects of gender, repetition of training, odour identity, odour concentration and shock intensity. I also characterize how relief memories, once formed, decay. In addition, concerning the psychological mechanisms of relief learning, first, I show that relief learning establishes genuinely associative conditioned approach behaviour and second, I report that it is most likely not mediated by context associations. These results enable the following neurobiological analysis of relief learning; further, they will form in the future the basis for a mathematical model; finally, they will guide the researchers aiming at uncovering relief learning in other experimental systems. Next, I embark upon neurogenetic analysis of relief learning. First, I report that fruit flies mutant for the so called white gene build overall more 'negative' memories about an experience with electric shock. That is, in the white mutants, learning about the painful onset of shock is enhanced, whereas learning about the relieving offset of shock is diminished. As they are coherently affected, these two kinds of learning should be in a balance. The molecular mechanism of the effect of white on this balance remains unresolved. Finally, as a first step towards a neuronal circuit analysis of relief learning, I compare it to reward learning and punishment learning. I find that relief learning is distinct from both in terms of the requirement for biogenic amine signaling: Reward and punishment are respectively signalled by octopamine and dopamine, for relief learning, either of these seem dispensible. Further, I find no evidence for roles for two other biogenic amines, tyramine and serotonin in relief learning. Based on these findings I give directions for further research.},
  subject      = {Lernen},
  language  = {en}
}
@phdthesis{Scholl2015,
  author    = {Scholl, Christina},
  title     = {Cellular and molecular mechanisms contributing to behavioral transitions and learning in the honeybee},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-115527},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2015},
  abstract  = {The honeybee Apis mellifera is a social insect well known for its complex behavior and the ability to learn tasks associated with central place foraging, such as visual navigation or to learn and remember odor-reward associations. Although its brain is smaller than 1mm² with only 8.2 x 105 neurons compared to ~ 20 x 109 in humans, bees still show amazing social, cognitive and learning skills. They express an age - related division of labor with nurse bees staying inside the hive and performing tasks like caring for the brood or cleaning, and foragers who collect food and water outside the hive. This challenges foragers with new responsibilities like sophisticated navigation skills to find and remember food sources, drastic changes in the sensory environment and to communicate new information to other bees. Associated with this plasticity of the behavior, the brain and especially the mushroom bodies (MBs) - sensory integration and association centers involved in learning and memory formation - undergo massive structural and functional neuronal alterations. Related to this background my thesis on one hand focuses on neuronal plasticity and underlying molecular mechanisms in the MBs that accompany the nurse - forager transition. In the first part I investigated an endogenous and an internal factor that may contribute to the nurse - forager phenotype plasticity and the correlating changes in neuronal network in the MBs: sensory exposure (light) and juvenile hormone (JH). Young bees were precociously exposed to light and subsequently synaptic complexes (microglomeruli, MG) in the MBs or respectively hemolymph juvenile hormone (JH) levels were quantified. The results show that light input indeed triggered a significant decrease in MG density, and mass spectrometry JH detection revealed an increase in JH titer. Interestingly light stimulation in young bees (presumably nurse bees) triggered changes in MG density and JH levels comparable to natural foragers. This indicates that both sensory stimuli as well as the endocrine system may play a part in preparing bees for the behavioral transition to foraging. Considering a connection between the JH levels and synaptic remodeling I used gene knockdown to disturb JH pathways and artificially increase the JH level. Even though the knockdown was successful, the results show that MG densities remained unchanged, showing no direct effect of JH on synaptic restructuring. To find a potential mediator of structural synaptic plasticity I focused on the calcium-calmodulin-dependent protein kinase II (CaMKII) in the second part of my thesis. CaMKII is a protein known to be involved in neuronal and behavioral plasticity and also plays an important part in structural plasticity reorganizing synapses. Therefore it is an interesting candidate for molecular mechanisms underlying MG reorganization in the MBs in the honeybee. Corresponding to the high abundance of CaMKII in the learning center in vertebrates (hippocampus), CaMKII was shown to be enriched in the MBs of the honeybee. Here I first investigated the function of CaMKII in learning and memory formation as from vertebrate work CaMKII is known to be associated with the strengthening of synaptic connections inducing long term potentiation and memory formation. The experimental approach included manipulating CaMKII function using 2 different inhibitors and a specific siRNA to create a CaMKII knockdown phenotype. Afterwards bees were subjected to classical olfactory conditioning which is known to induce stable long-term memory. All bees showed normal learning curves and an intact memory acquisition, short-term and mid-term memory (1 hour retention). However, in all cases long-term memory formation was significantly disrupted (24 and 72 hour retention). These results suggests the necessity of functional CaMKII in the MBs for the induction of both early and late phases of long-term memory in honeybees. The neuronal and molecular bases underlying long-term memory and the resulting plasticity in behavior is key to understanding higher brain function and phenotype plasticity. In this context CaMKII may be an important mediator inducing structural synaptic and neuronal changes in the MB synaptic network.},
  subject      = {Biene},
  language  = {en}
}
@phdthesis{Chen2012,
  author    = {Chen, Yi-chun},
  title     = {Experimental access to the content of an olfactory memory trace in larval Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-83705},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2012},
  abstract  = {Animals need to evaluate their experiences in order to cope with new situations they encounter. This requires the ability of learning and memory. Drosophila melanogaster lends itself as an animal model for such research because elaborate genetic techniques are available. Drosphila larva even saves cellular redundancy in parts of its nervous system. My Thesis has two parts dealing with associative olfactory learning in larval Drosophila. Firstly, I tackle the question of odour processing in respect to odour quality and intensity. Secondly, by focusing on the evolutionarily conserved presynaptic protein Synapsin, olfactory learning on the cellular and molecular level is investigated. Part I.1. provides a behaviour-based estimate of odour similarity in larval Drosophila by using four recognition-type experiments to result in a combined, task-independent estimate of perceived difference between odour-pairs. A further comparison of these combined perceived differences to published calculations of physico-chemical difference reveals a weak correlation between perceptual and physico-chemical similarity. Part I.2. focuses on how odour intensity is interpreted in the process of olfactory learning in larval Drosophila. First, the dose-effect curves of learnability across odour intensities are described in order to choose odour intensities such that larvae are trained at intermediate odour intensity, but tested for retention either with that trained intermediate odour intensity, or with respectively HIGHer or LOWer intensities. A specificity of retention for the trained intensity is observed for all the odours used. Such intensity specificity of learning adds to appreciate the richness in 'content' of olfactory memory traces, and to define the demands on computational models of associative olfactory memory trace formation. In part II.1. of the thesis, the cellular site and molecular mode of Synapsin function is investigated- an evolutionarily conserved, presynaptic vesicular phosphoprotein. On the cellular level, the study shows a Synapsin-dependent memory trace in the mushroom bodies, a third-order "cortical" brain region of the insects; on the molecular level, Synapsin engages as a downstream element of the AC-cAMP-PKA signalling cascade.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Schleyer2012,
  author    = {Schleyer, Michael},
  title     = {Integrating past, present and future: mechanisms of a simple decision in larval Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-78923},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2012},
  abstract  = {Is behaviour response or action? In this Thesis I study this question regarding a rather simple organism, the larva of the fruit fly Drosophila melanogaster. Despite its numerically simple brain and limited behavioural repertoire, it is nevertheless capable to accomplish surprisingly complex tasks. After association of an odour and a rewarding or punishing reinforcement signal, the learnt odour is able to retrieve the formed memory trace. However, the activated memory trace is not automatically turned into learned behaviour: Appetitive memory traces are behaviourally expressed only in absence of the rewarding tastant whereas aversive memory traces are behaviourally expressed in the presence of the punishing tastant. The 'decision' whether to behaviourally express a memory trace or not relies on a quantitive comparison between memory trace and current situation: only if the memory trace (after odour-sugar training) predicts a stronger sugar reward than currently present, animals show appetitive conditioned behaviour. Learned appetitive behaviour is best seen as active search for food - being pointless in the presence of (enough) food. Learned aversive behaviour, in turn, can be seen as escape from a punishment - being pointless in absence of punishment. Importantly, appetitive and aversive memory traces can be formed and retrieved independent from each other but also can, under appriate circumstances, summate to jointly organise conditioned behaviour. In contrast to learned behaviour, innate olfactory behaviour is not influenced by gustatory processing and vice versa. Thus, innate olfactory and gustatory behaviour is rather rigid and reflexive in nature, being executed almost regardless of other environmental cues. I suggest a behavioural circuit-model of chemosensory behaviour and the 'decision' process whether to behaviourally express a memory trace or not. This model reflects known components of the larval chemobehavioural circuit and provides clear hypotheses about the kinds of architecture to look for in the currently unknown parts of this circuit. The second chapter deals with gustatory perception and processing (especially of bitter substances). Quinine, the bitter tastant in tonic water and bitter lemon, is aversive for larvae, suppresses feeding behaviour and can act as aversive reinforcer in learning experiments. However, all three examined behaviours differ in their dose-effect dynamics, suggesting different molecular and cellular processing streams at some level. Innate choice behaviour, thought to be relatively reflexive and hard-wired, nevertheless can be influenced by the gustatory context. That is, attraction toward sweet tastants is decreased in presence of bitter tastants. The extent of this inhibitory effect depends on the concentration of both sweet and bitter tastant. Importantly, sweet tastants differ in their sensitivity to bitter interference, indicating a stimulus-specific mechanism. The molecular and cellular processes underlying the inhibitory effect of bitter tastants are unknown, but the behavioural results presented here provide a framework to further investigate interactions of gustatory processing streams.},
  subject      = {Lernen},
  language  = {en}
}
@phdthesis{Schwaerzel2003,
  author    = {Schw{\"a}rzel, Martin},
  title     = {Localizing engrams of olfactory memories in Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-5065},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2003},
  abstract  = {Zars and co-workers were able to localize an engram of aversive olfactory memory to the mushroom bodies of Drosophila (Zars et al., 2000). In this thesis, I followed up on this finding in two ways. Inspired by Zars et al. (2000), I first focused on the whether it would also be possible to localize memory extinction.While memory extinction is well established behaviorally, little is known about the underlying circuitry and molecular mechanisms. In extension to the findings by Zars et al (2000), I show that aversive olfactory memories remain localized to a subset of mushroom body Kenyon cells for up to 3 hours. Extinction localizes to the same set of Kenyon cells. This common localization suggests a model in which unreinforced presentations of a previously learned odorant intracellularly antagonizes the signaling cascades underlying memory formation. The second part also targets memory localization, but addresses appetitive memory. I show that memories for the same olfactory cue can be established through either sugar or electric shock reinforcement. Importantly, these memories localize to the same set of neurons within the mushroom body. Thus, the question becomes apparent how the same signal can be associated with different events. It is shown that two different monoamines are specificaly necessary for formation of either of these memories, dopamine in case of electric shock and octopamine in case of sugar memory, respectively. Taking the representation of the olfactory cue within the mushroom bodies into account, the data suggest that the two memory traces are located in the same Kenyon cells, but in separate subcellular domains, one modulated by dopamine, the other by octopamine. Taken together, this study takes two further steps in the search for the engram. (1) The result that in Drosophila olfactory learning several memories are organized within the same set of Kenyon cells is in contrast to the pessimism expressed by Lashley that is might not be possible to localize an engram. (2) Beyond localization, a possibible mechanism how several engrams about the same stimulus can be localized within the same neurons might be suggested by the models of subcellular organisation, as postulated in case of appetitive and aversive memory on the one hand and acquisition and extinction of aversive memory on the other hand.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Saumweber2011,
  author    = {Saumweber, Timo},
  title     = {Mechanism of Learning and Plasticity in Larval Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-66354},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {According to a changing environment it is crucial for animals to make experience and learn about it. Sensing, integrating and learning to associate different kinds of modalities enables animals to expect future events and to adjust behavior in the way, expected as the most profitable. Complex processes as memory formation and storage make it necessary to investigate learning and memory on different levels. In this context Drosophila melanogaster represents a powerful model organism. As the adult brain of the fly is still quite complex, I chose the third instar larva as model - the more simple the system, the easier to isolate single, fundamental principles of learning. In this thesis I addressed several kinds of questions on different mechanism of olfactory associative and synaptic plasiticity in Drosophila larvae. I focused on short-term memory throughout my thesis. First, investigating larval learning on behavioral level, I developed a one-odor paradigm for olfactory associative conditioning. This enables to estimate the learnability of single odors, reduces the complexity of the task and simplify analyses of "learning mutants". It further allows to balance learnability of odors for generalization-type experiments to describe the olfactory "coding space". Furthermore I could show that innate attractiveness and learnability can be dissociated and found finally that paired presentation of a given odor with reward increase performance, whereas unpaired presentations of these two stimuli decrease performance, indicating that larva are able to learn about the presence as well as about the absence of a reward. Second, on behavioral level, together with Thomas Niewalda and colleagues we focussed on salt processing in the context of choice, feeding and learning. Salt is required in several physiological processes, but can neither be synthesized nor stored. Various salt concentrations shift the valence from attraction to repulsion in reflexive behaviour. Interestingly, the reinforcing effect of salt in learning is shifted by more than one order of magnitude toward higher concentrations. Thus, the input pathways for gustatory behavior appear to be more sensitive than the ones supporting gustatory reinforcement, which is may be due to the dissociation of the reflexive and the reinforcing signalling pathways of salt. Third, in cooperation with Michael Schleyer we performed a series of behavioral gustatory, olfactory preference tests and larval learning experiments. Based on the available neuroanatomical and behavioral data we propose a model regarding chemosensory processing, odor-tastant memory trace formation and the 'decision' like process. It incorporates putative sites of interaction between olfactory and gustatory pathways during the establishment as well as behavioral expression of odor-tastant memory. We claim that innate olfactory behavior is responsive in nature and suggest that associative conditioned behavior is not a simple substitution like process, but driven more likely by the expectation of its outcome. Fourth, together with Birgit Michels and colleagues we investigated the cellular site and molecular mode of Synapsin, an evolutionarily conserved, presynaptic vesicular phosphoprotein and its action in larval learning. We confirmed a previously described learning impairment upon loss of Synapsin. We localized this Synapsin dependent memory trace in the mushroom bodies, a third-order "cortical" brain region, and could further show on molecular level, that Synapsin is as a downstream element of the AC-cAMP-PKA signalling cascade. This study provides a comprehensive chain of explanation from the molecular level to an associative behavioral change. Fifth, in the main part of my thesis I focused on molecular level on another synaptic protein, the Synapse associated protein of 47kDa (Sap47) and its role in larval behavior. As a member of a phylogenetically conserved gene family of hitherto unknown function. It is localized throughout the whole neuropil of larval brains and associated with presynaptic vesicles. Upon loss of Sap47 larvae exhibit normal sensory detection of the to-be-associated stimuli as well as normal motor performance and basic synaptic transmission. Interestingly, short-term plasticity is distorted and odorant-tastant associative learning ability is reduced. This defect in associative function could be rescued by restoring Sap47 expression. Therefore, this report is the first to suggest a function for Sap47 and specifically argues that Sap47 is required for synaptic as well as for behavioral plasticity in Drosophila larva. This prompts the question whether its homologs are required for synaptic and behavioral plasticity also in other species. Further in the last part of my thesis I contributed to the study of Ayse Yarali. Her central topic was the role of the White protein in punishment and relief learning in adult flies. Whereas stimuli that precede shock during training are subsequently avoided as predictors for punishment, stimuli that follow shock during training are later on approached, as they predict relief. Concerning the loss of White we report that pain-relief learning as well as punishment learning is changed. My contribution was a comparison between wild type and the white1118 mutant larvae in odor-reward learning. It turned out that a loss of White has no effect on larval odorant-tastant learning. This study, regarding painrelief learning provides the very first hints concerning the genetic determinants of this form of learning.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Masek2005,
  author    = {Masek, Pavel},
  title     = {Odor intensity learning in Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-15546},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2005},
  abstract  = {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.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Bertolucci2008,
  author    = {Bertolucci, Franco},
  title     = {Operant and classical learning in Drosophila melanogaster: the ignorant gene (ign)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-33984},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {One of the major challenges in neuroscience is to understand the neuronal processes that underlie learning and memory. For example, what biochemical pathways underlie the coincidence detection between stimuli during classical conditioning, or between an action and its consequences during operant conditioning? In which neural substructures is this information stored? How similar are the pathways mediating these two types of associative learning and at which level do they diverge? The fly Drosophila melanogaster is an appropriate model organism to address these questions due to the availability of suitable learning paradigms and neurogenetic tools. It permits an extensive study of the functional role of the gene S6KII which in Drosophila had been found to be differentially involved in classical and operant conditioning (Bertolucci, 2002; Putz et al., 2004). Genomic rescue experiments showed that olfactory conditioning in the Tully machine, a paradigm for Pavlovian olfactory conditioning, depends on the presence of an intact S6KII gene. This rescue was successfully performed on both the null mutant and a partial deletion, suggesting that the removal of the phosphorylating unit of the kinase was the main cause of the functional defect. The GAL4/UAS system was used to achieve temporal and spatial control of S6KII expression. It was shown that expression of the kinase during the adult stage was essential for the rescue. This finding ruled out a developmental origin of the mutant learning phenotype. Furthermore, targeted spatial rescue of S6KII revealed a requirement in the mushroom bodies and excluded other brain structures like the median bundle, the antennal lobes and the central complex. This pattern is very similar to the one previously identified with the rutabaga mutant (Zars et al., 2000). Experiments with the double mutant rut, ign58-1 suggest that both rutabaga and S6KII operate in the same signalling pathway. Previous studies had already shown that deviating results from operant and classical conditioning point to different roles for S6KII in the two types of learning (Bertolucci, 2002; Putz, 2002). This conclusion was further strengthened by the defective performance of the transgenic lines in place learning and their normal behavior in olfactory conditioning. A novel type of learning experiment, called "idle experiment", was designed. It is based on the conditioning of the walking activity and represents a purely operant task, overcoming some of the limitations of the "standard" heat-box experiment, a place learning paradigm. The novel nature of the idle experiment allowed exploring "learned helplessness" in flies, unveiling astonishing similarities to more complex organisms such as rats, mice and humans. Learned helplessness in Drosophila is found only in females and is sensitive to antidepressants.},
  subject      = {Klassische Konditionierung},
  language  = {en}
}
@phdthesis{Thum2006,
  author    = {Thum, Andreas Stephan},
  title     = {Sugar reward learning in Drosophila : neuronal circuits in Drosophila associative olfactory learning},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-17930},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2006},
  abstract  = {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.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{EngelhardtgebChristiansen2013,
  author    = {Engelhardt [geb. Christiansen], Frauke},
  title     = {Synaptic Connectivity in the Mushroom Body Calyx of Drosophila melanogaster},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-85058},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {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.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Mishra2011,
  author    = {Mishra, Dushyant},
  title     = {The content of olfactory memory in larval Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-66316},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {An animal depends heavily on its sense of smell and its ability to form olfactory associations as this is crucial for its survival. This thesis studies in two parts about such associative olfactory learning in larval Drosophila. The first part deals with different aspects of odour processing while the second part is concerned with aspects related to memory and learning. Chapter I.1 highlights how odour intensities could be integrated into the olfactory percept of larval Drosophila. I first describe the dose-effect curves of learnability across odour intensities for different odours and then choose odour intensities from these curves such that larvae are trained at intermediate odour intensity, but are tested for retention with either that trained intermediate odour intensity, or with respectively HIGHer or LOWer intensities. I observe a specificity of retention for the trained intensity for all the odours used. Further I compare these findings with the case of adult Drosophila and propose a circuit level model of how such intensity coding comes about. Such intensity specificity of learning adds to appreciate the richness in 'content' of olfactory memory traces, and to define the demands on computational models of olfaction and olfactory learning. Chapter I.2 provides a behaviour-based estimate of odour similarity using four different types of experiments to yield a combined, task-independent estimate of perceived difference between odour-pairs. Further comparison of these perceived differences to published measures of physico- chemical difference reveals a weak correlation. Notable exceptions to this correlation are 3-octanol and benzaldehyde. Chapter I.3 shows for two odours (3-octanol and 1-octene-3-ol) that perceptual differences between these odours can either be ignored after non-discriminative training (generalization), or accentuated by odour-specific reinforcement (discrimination). Anosmic Or83b1 mutants have lost these faculties, indicating that this adaptive adjustment is taking place downstream of Or83b expressing sensory neurons. Chapter II.1 of this thesis deals with food supplementation with dried roots of Rhodiola rosea. This dose-dependently improves odour- reward associative function in larval Drosophila. Supplementing fly food with commercially available tablets or extracts, however, does not have a 'cognitive enhancing' effect, potentially enabling us to differentiate between the effective substances in the root versus these preparations. Thus Drosophila as a genetically tractable study case should now allow accelerated analyses of the molecular mechanism(s) that underlie this 'cognitive enhancement' conveyed by Rhodiola rosea. Chapter II.2 describes the role of Synapsin, an evolutionarily conserved presynaptic phosphoprotein using a combined behavioural and genetic approach and asks where and how, this protein affects functions in associative plasticity of larval Drosophila. This study shows that a Synapsin-dependent memory trace can be pinpointed to the mushroom bodies, a 'cortical' brain region of the insects. On the molecular level, data in this study assign Synapsin as a behaviourally- relevant effector of the AC-cAMP-PKA cascade.},
  subject      = {Drosophila},
  language  = {en}
}
@phdthesis{Saverschek2010,
  author    = {Saverschek, Nicole},
  title     = {The influence of the symbiotic fungus on foraging decisions in leaf-cutting ants - Individual behavior and collective patterns},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-52087},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2010},
  abstract  = {Foraging behavior is a particularly fascinating topic within the studies of social insects. Decisions made by individuals have effects not only on the individual level, but on the colony level as well. Social information available through foraging in a group modulates individual preferences and shapes the foraging pattern of a colony. Identifying parameters influencing foraging behavior in leaf-cutting ants is especially intriguing because they do not harvest for themselves, but for their symbiotic fungus which in turn influences their plant preferences after the incorporation of the substrate. To learn about the substrates' unsuitability for the fungus, ants need to be able to identify the incorporated substrate and associate it with detrimental effects on the fungus. Odor is an important plant characteristic known to be used as recognition key outside the nest in the context of foraging. Chapter 1 shows that foragers are able to recall information about the unsuitability of a substrate through odor alone and consequently reject the substrate, which leads to the conclusion that inside the nest, odor might be enough to indentify incorporated substrate. Identification of plant species is a key factor in the foraging success of leaf-cutting ants as they harvest a multitude of different plant species in a diverse environment and host plant availability and suitability changes throughout the year. Fixed plant preferences of individuals through innate tendencies are therefore only one factor influencing foraging decisions. On the individual as well as the colony level, foraging patterns are flexible and a result of an intricate interplay between the different members involved in the harvesting process: foragers, gardeners and the symbiotic fungus. In chapter 2 I identified several conditions necessary for na{\"i}ve foragers to learn about the unsuitability of substrate inside the nest. In order to exchange of information about the unsuitability of a substrate, the plant in question must be present in the fungus garden. Foragers can learn without own foraging experience and even without experiencing the effects of the substrate on the fungus, solely through the presence of experienced gardeners. The presence of experienced foragers alone on the other hand is not enough to lower the acceptance of substrate by na{\"i}ve foragers in the presence of na{\"i}ve gardeners, even if experienced foragers make up the majority of the workforce inside the nest. Experienced foragers are also able to reverse their previous negative experience and start accepting the substrate again. The individual behavior of foragers and gardeners with different experiential backgrounds in the presence of suitable or unsuitable substrate inside the fungus chamber was investigated in chapter 3 to shed some light on possible mechanisms involved in the flow of information about substrate suitability from the fungus to the ants. Gardeners as well as foragers are involved in the leaf processing and treatment of the applied leaf patches on the fungus. If the plant material is unsuitable, significantly more ants treat the plant patches, but foragers are less active overall. Contacts between workers initiated by either gardeners or foragers occur significantly more frequent and last longer if the substrate is unsuitable. Even though experienced gardeners increase na{\"i}ve foragers' contact rates and duration with other workers in the presence of suitable plant patches, na{\"i}ve foragers show no differences in the handling of the plant patches. This suggests that foragers gain information about plant suitability not only indirectly through the gardening workers, but might also be able to directly evaluate the effects of the substrate on the fungus themselves. Outside the nest, foragers influence each other the trail (chapter 4). Foraging in a group and the presence of social information is a decisive factor in the substrate choice of the individual and leads to a distinct and consentaneous colony response when encountering unfamiliar or unsuitable substrates. As leaf-cutting ants harvest different plant species simultaneously on several trails, foragers gain individual experiences concerning potential host plants. Preferences might vary among individuals of the same colony to the degree that foragers on the same trail perceive a certain substrate as either suitable or unsuitable. If the majority of foragers on the trail perceives one of the currently harvested substrates as unsuitable, na{\"i}ve foragers lower their acceptance within 4 hours. In the absence of a cue in the fungus, na{\"i}ve foragers harvesting by themselves still eventually (within 6 hours) reject the substrate as they encounter experienced gardeners during visits to the nest within foraging bouts. As foraging trails can be up to 100 m long and foragers spend a considerable amount of time away from the nest, learning indirectly from experienced foragers on the trail accelerates the distribution of information about substrate suitability. The level of rejection of a formerly unsuitable substrate after eight hours of foraging by na{\"i}ve foragers correlates with the average percentage of unladen experienced foragers active on the trail. This suggests that unladen experienced foragers might actively contact laden na{\"i}ve workers transmitting information about the unsuitability of the load they carry. Results from experiments were I observed individual laden foragers on their way back to the nest backed up this assumption as individuals were antennated and received bites into the leaf disk they carried. Individuals were contacted significantly more often by nestmates that perceived the carried leaf disk as unsuitable due to previous experience than by nestmates without this experience (chapter 6). Leaf-cutting ants constantly evaluate, learn and re-evaluate the suitability of harvested substrate and adjust their foraging activity accordingly. The importance of the different sources of information within the colony and their effect on the foraging pattern of the colony depend on the presence or absence of each of them as e.g. experienced foragers have a bigger influence on the plant preferences of na{\"i}ve foragers in the absence of a cue in the fungus garden.},
  subject      = {Blattschneiderameisen},
  language  = {en}
}