@phdthesis{Batsching2016,
  author    = {Batsching, Sophie Johanna},
  title     = {Behavior under uncontrollable stress in \(Drosophila\) \(melanogaster\) - Learned Helplessness revisited},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-145416},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2016},
  abstract  = {In order to select the appropriate behavior, it is important to choose the right behavior at the right time out of many options. It still remains unclear nowadays how exactly this is managed. To address this question, I expose flies (Drosophila melanogaster) to uncontrollable stress to study their behavior under restrictive circumstances by using the so-called shock box. Exposing animals to uncontrollable stress may have an impact on subsequent behavior and can last for some time. The animal learns that whatever it does, it cannot change the situation and therefore can develop something called learned helplessness. The term was first conceptualized by two American psychologists Maier and Seligman (1967), who discovered this phenomenon while doing experiments with dogs. They found out that dogs which are exposed to inescapable stress, later fail in a learning task ('shuttle box'). In this work the walking patterns of three different types of experimental flies, walking in a small dark chamber, were evaluated. Using the triadic design (Seligman and Maier, 1967), flies were either exposed to electric shock randomly (yoked), could turn it off by being active (master) or did not receive punishment at all (control). Master flies were shocked whenever they sat for more than 0.9 seconds. At the same time yoked flies received a shock as well independent of what they were doing, to ensure the same amount of shocks received and to create random punishment pattern for the yoked group. With this so-called no-idleness paradigm flies were conditioned either 10 minutes, which resulted in a short (3 minutes) after-effect, or 20 minutes that turned out to be more stable (10 minutes). In a second part, the behavior during the 20 minute conditioning and a 10 minutes post-test was described in detail. Female flies of the yoked group developed lower activity levels, longer pauses and walked more slowly than master and control flies during conditioning. In the time after the shocks while still in the box, the yoked flies also reduced the frequency and duration of walking bouts as well as their walking speed. Additionally, they took more time to resume walking after the onset of an electric shock than master flies (escape latency) and turned out to make less pauses lasting between 1-1.5 seconds which supports the finding concerning the escape latency. Male flies, tested under the same conditions, showed a slightly weaker after-effect regarding the difference between master and yoked during conditioning and post-test when compared to female flies. When comparing the 20 minutes conditioning with subsequent 10 minutes test in the heat and the shock box in parallel, one finds the same effect: Flies which do not have control over the shocks, lower their activity, make less but longer pauses and walk more slowly than their respective master flies. Despite the similar effect of heat and shock on the flies, some differences between the devices occurred, which can partly be explained by different humidity conditions as well as by different surfaces within the chambers. When the control over the shocks is given back to the yoked flies, it takes them about seven minutes to realize it. One could also show that dopamine levels in the brain were reduced in comparison to flies which did not receive shocks. Yoked flies also were impaired in a place learning task (place learning) and their reaction to light (exit from the box towards the light) directly after conditioning. After characterizing the walking behavior in the chambers, the study deals with the question whether the effects observed in the chambers transfer to different environments. In free walk they only differed from flies which did not receive electric shocks and no effect of uncontrollability was transferred to courtship behavior. Handling as the cause could be excluded. Since handling could be exclude to be the cause of losing the effect, I assumed that the behavior shown in the boxes are context depend. Not only were the after-effects of inescapable shock subject of the current research also the impact of the rearing situation on the response to electric shock was investigated in the present study. Flies which grew up in a single-reared situation turned out to be less affected by inescapable stress in both sexes. In the next part, the first steps to unravel the neuronal underpinning were taken. A mutant - fumin - which is defective in the dopamine re-uptake transporter showed less reaction to inescapable foot shocks, while a mutant for the gene which encodes an adenylate cyclase (rutabaga2080) resulted in a good score during conditioning, but showed no stable after-effect. Downregulating the expression of the adenylate cyclase gene (rutabaga) in different parts of the mushroom bodies showed, that rutabaga is necessary in the α'β'-lobes for expressing the differences between master and yoked flies in the no-idleness paradigm. The study further confirmed previous findings, that rutabaga is needed in operant but not in classical conditioning. As a result, the study could show that not the stimulus itself causes the state of uncontrollability but the fact that the fly learned that it was not in control of the stimulus. This state turned out to be context and time dependent.},
  subject      = {Taufliege},
  language  = {en}
}
@article{CruseWehner2011,
  author    = {Cruse, Holk and Wehner, R{\"u}diger},
  title     = {No Need for a Cognitive Map: Decentralized Memory for Insect Navigation},
  series = {PLoS computational biology},
  volume    = {7},
  journal   = {PLoS computational biology},
  number    = {3},
  doi       = {10.1371/journal.pcbi.1002009},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-141184},
  pages     = {e1002009},
  year      = {2011},
  abstract  = {In many animals the ability to navigate over long distances is an important prerequisite for foraging. For example, it is widely accepted that desert ants and honey bees, but also mammals, use path integration for finding the way back to their home site. It is however a matter of a long standing debate whether animals in addition are able to acquire and use so called cognitive maps. Such a 'map', a global spatial representation of the foraging area, is generally assumed to allow the animal to find shortcuts between two sites although the direct connection has never been travelled before. Using the artificial neural network approach, here we develop an artificial memory system which is based on path integration and various landmark guidance mechanisms ( a bank of individual and independent landmark-defined memory elements). Activation of the individual memory elements depends on a separate motivation network and an, in part, asymmetrical lateral inhibition network. The information concerning the absolute position of the agent is present, but resides in a separate memory that can only be used by the path integration subsystem to control the behaviour, but cannot be used for computational purposes with other memory elements of the system. Thus, in this simulation there is no neural basis of a cognitive map. Nevertheless, an agent controlled by this network is able to accomplish various navigational tasks known from ants and bees and often discussed as being dependent on a cognitive map. For example, map-like behaviour as observed in honey bees arises as an emergent property from a decentralized system. This behaviour thus can be explained without referring to the assumption that a cognitive map, a coherent representation of foraging space, must exist. We hypothesize that the proposed network essentially resides in the mushroom bodies of the insect brain.},
  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{Spaethe2001,
  author    = {Spaethe, Johannes},
  title     = {Sensory Ecology of Foraging in Bumblebees},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-1179692},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2001},
  abstract  = {Pollinating insects exhibit a complex behavior while foraging for nectar and pollen. Many studies have focused on ultimate mechanisms of this behavior, however, the sensory-perceptual processes that constrain such behavior have rarely been considered. In the present study I used bumblebees (Bombus terrestris), an important pollinating insect, to investigate possible sensory constraints on foraging behavior. Additionally, I survey inter-individual variation in the sensory capabilities and behavior of bumblebees caused by the pronounced size polymorphism among members of a single colony. In the first chapter I have focused on the sensory-perceptual processes that constrain the search for flowers. I measured search time for artificial flowers of various sizes and colors, a key variable defining the value of a prey type in optimal foraging theory. When flowers were large, search times correlate well with the color contrast of the targets with their green foliage-type background, as predicted by a model of color opponent coding using inputs from the bee's UV, blue, and green receptors. Targets which made poor color contrast with their backdrop, such as white, UV-reflecting ones, or red flowers, take longest to detect, even though brightness contrast with the background is pronounced. When searching for small targets, bumblebees change their strategy in several ways. They fly significantly slower and closer to the ground, so increasing the minimum detectable area subtended by an object on the ground. In addition they use a different neuronal channel for flower detection: instead of color contrast, they now employ only the green receptor signal for detection. I related these findings to temporal and spatial limitations of different neuronal channels involved in stimulus detection and recognition. Bumblebees do not only possess species-specific sensory capacities but they also exhibit inter-individual differences due to size. Therefore, in the next two chapters I have examined size-related effects on the visual and olfactory system of Bombus terrestris. Chapter two deals with the effect of scaling on eye architecture and spatial resolving power of workers. Foraging efficiency in bees is strongly affected by proficiency of detecting flowers. Both floral display size and bee spatial vision limit flower detection. In chapter one I have shown that search times for flowers strongly increases with decreasing floral display size. The second factor, bee spatial vision, is mainly limited by two properties of compound eyes: (a) the interommatidial angle {\c{C}}{\aa} and (b) the ommatidial acceptance angle {\c{C}}{\´a}. When a pollinator strives to increase the resolving power of its eyes, it is forced to increase both features simultaneously. Bumblebees show a large variation in body size. I found that larger workers with larger eyes possess more ommatidia and larger facet diameters. Large workers with twice the size of small workers (thorax width) have about 50 per cent more ommatidia, and a 1.5 fold enlarged facet diameter. In a behavioral test, large and small workers were trained to detect the presence of a colored stimulus in a Y-maze apparatus. The stimulus was associated with a sucrose reward and was presented in one arm, the other arm contained neither stimulus nor reward. The minimum visual angle a bee is able to detect was estimated by testing the bee at different stimuli sizes subtending angles between 30° and 3° on the bee's eye. Minimum visual detection angles range from 3.4° to 7.0° among tested workers. Larger bumblebees are able to detect objects subtending smaller visual angles, i.e. they are able to detect smaller objects than their small conspecifics. Thus morphological and behavioral findings indicate an improved visual system in larger bees. Beside vision, olfaction is the most important sensory modality while foraging in bees. Bumblebees utilize species-specific odors for detecting and identifying nectar and pollen rich flowers. In chapter three I have investigated the olfactory system of Bombus terrestris and the effect of scaling on antennal olfactory sensilla and the first olfactory neuropil in the bumblebee brain, the antennal lobes. I found that the pronounced size polymorphism exhibited by bumblebees also effects their olfactory system. Sensilla number (I measured the most common olfactory sensilla type, s. placodea), sensilla density, volume of antennal lobe neuropil and volume of single identified glomeruli correlate significantly with worker's size. The enlarged volume of the first olfactory neuropil in large individuals is caused by an increase in glomeruli volume and coarse neuropil volume. Additionally, beside an overall increase of brain volume with scaling I found that the olfactory neuropil increases disproportionately compared to a higher order neuropil, the central body. The data predict a higher odor sensitivity in larger bumblebee workers. In the last chapter I have addressed the question if scaling alters foraging behavior and rate in freely foraging bumblebees. I observed two freely foraging B. terrestris colonies and measured i) trip number, ii) trip time, iii) proportion of nectar trips, and iv) nectar foraging rate of different sized foragers. In all observation periods large foragers exhibit a significantly higher foraging rate than small foragers. None of the other three foraging parameters is affected by workers' size. Thus, large foragers contribute disproportionately more to the current nectar influx of their colony. To summarize, this study shows that understanding the mechanisms of visual information processing and additionally comprising inter-individual differences of sensory capabilities is crucial to interpret foraging behavior of bees.},
  subject      = {Hummeln},
  language  = {en}
}