@phdthesis{Sommerlandt2017, author = {Sommerlandt, Frank M. J.}, title = {Mechanisms of visual memory formation in bees: About immediate early genes and synaptic plasticity}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-136997}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2017}, abstract = {Animals form perceptual associations through processes of learning, and retain that information through mechanisms of memory. Honeybees and bumblebees are classic models for insect perception and learning, and despite their small brains with about one million neurons, they are organized in highly social colonies and possess an astonishing rich behavioral repertoire including navigation, communication and cognition. Honeybees are able to harvest hundreds of morphologically divergent flower types in a quick and efficient manner to gain nutrition and, back in the hive, communicate discovered food sources to nest mates. To accomplish such complex tasks, bees must be equipped with diverse sensory organs receptive to stimuli of different modalities and must be able to associatively learn and memorize the acquired information. Particularly color vision plays a prominent role, e.g. in navigation along landmarks and when bees identify inflorescences by their color signals. Once acquired, bees are known to retain visual information for days or even months. Numerous studies on visual perception and color vision have been conducted in the past decades and largely revealed the information processing pathways in the brain. In contrast, there are no data available on how the brain may change in the course of color learning experience and whether pathways differ for coarse and fine color learning. Although long-term memory (LTM) storage is assumed to generally include reorganization of the neuronal network, to date it is unclear where in the bee brain such changes occur in the course of color learning and whether visual memories are stored in one particular site or decentrally distributed over different brain domains. The present dissertation research aimed to dissect the visual memory trace in bees that is beyond mere stimulus processing and therefore two different approaches were elaborated: first, the application of immediate early genes (IEG) as genetic markers for neuronal activation to localize early processes underlying the formation of a stable LTM. Second, the analysis of late consequences of memory formation, including synaptic reorganization in central brain areas and dependencies of color discrimination complexity. Immediate early genes (IEG) are a group of rapidly and transiently expressed genes that are induced by various types of cellular stimulation. A great number of different IEGs are routinely used as markers for the localization of neuronal activation in vertebrate brains. The present dissertation research was dedicated to establish this approach for application in bees, with focus on the candidate genes Amjra and Amegr, which are orthologous to the two common vertebrate IEGs c-jun and egr-1. First the general requirement of gene transcription for visual LTM formation was proved. Bumblebees were trained in associative proboscis extension response (PER) conditioning to monochromatic light and subsequently injected with an inhibitor of gene transcription. Memory retention tests at different intervals revealed that gene transcription is not required for the formation of a mid-term memory, but for stable LTM. Next, the appliance of the candidate genes was validated. Honeybees were exposed to stimulation with either alarm pheromone or a light pulse, followed by qPCR analysis of gene expression. Both genes differed in their expression response to sensory exposure: Amjra was upregulated in all analyzed brain parts (antennal lobes, optic lobes and mushroom bodies, MB), independent from stimulus modality, suggesting the gene as a genetic marker for unspecific general arousal. In contrast, Amegr was not significantly affected by mere sensory exposure. Therefore, the relevance of associative learning on Amegr expression was assessed. Honeybees were trained in visual PER conditioning followed by a qPCR-based analysis of the expression of all three Amegr isoforms at different intervals after conditioning. No learning-dependent alteration of gene expression was observed. However, the presence of AmEgr protein in virtually all cerebral cell nuclei was validated by immunofluorescence staining. The most prominent immune-reactivity was detected in MB calyx neurons. Analysis of task-dependent neuronal correlates underlying visual long-term memory was conducted in free-flying honeybees confronted with either absolute conditioning to one of two perceptually similar colors or differential conditioning with both colors. Subsequent presentation of the two colors in non-rewarded discrimination tests revealed that only bees trained with differential conditioning preferred the previously learned color. In contrast, bees of the absolute conditioning group chose randomly among color stimuli. To investigate whether the observed difference in memory acquisition is also reflected at the level of synaptic microcircuits, so called microglomeruli (MG), within the visual domains of the MB calyces, MG distribution was quantified by whole-mount immunostaining three days following conditioning. Although learning-dependent differences in neuroarchitecture were absent, a significant correlation between learning performance and MG density was observed. Taken together, this dissertation research provides fundamental work on the potential use of IEGs as markers for neuronal activation and promotes future research approaches combining behaviorally relevant color learning tests in bees with examination of the neuroarchitecture to pave the way for unraveling the visual memory trace.}, subject = {Biene}, language = {en} } @phdthesis{Lichtenstein2018, author = {Lichtenstein, Leonie}, title = {Color vision and retinal development of the compound eye in bees}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-150997}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2018}, abstract = {The superfamiliy of bees, Apiformes, comprises more than 20,000 species. Within the group, the eusocial species like honeybees and bumblebees are receiving increased attention due to their outstanding importance for pollination of many crop and wild plants, their exceptional eusocial lifestyle and complex behavioral repertoire, which makes them an interesting invertebrate model to study mechanisms of sensory perception, learning and memory. In bees and most animals, vision is one of the major senses since almost every living organism and many biological processes depend on light energy. Bees show various forms of vision, e.g. color vision, achromatic vision or polarized vision in order to orientate in space, recognize mating partners, detect suitable nest sites and search for rewarding food sources. To catch photons and convert light energy into electric signals, bees possess compound eyes which consists of thousands of single ommatidia comprising a fixed number of photoreceptors; they are characterized by a specific opsin protein with distinct spectral sensitivity. Different visual demands, e.g. the detection of a single virgin queen by a drone, or the identification and discrimination of flowers during foraging bouts by workers, gave rise to the exceptional sex-specific morphology and physiology of male and female compound eyes in honeybees. Since Karl von Frisch first demonstrated color vision in honeybees more than 100 years ago, much effort has been devoted to gain insight into the molecular, morphological and physiological characteristics of (sex-specific) bee compound eyes and the corresponding photoreceptors. However, to date, almost nothing is known about the underlying mechanisms during pupal development which pattern the retina and give rise to the distinct photoreceptor distribution. Hence, in Chapter 2 and 3 I aimed to better understand the retinal development and photoreceptor determination in the honeybee eye. In a first step, the intrinsic temporal expression pattern of opsins within the retina was evaluated by quantifying opsin mRNA expression levels during the pupal phase of honeybee workers and drones. First results revealed that honeybee workers and drones express three different opsin genes, UVop, BLop and Lop1 during pupal development which give rise to an ultraviolet, blue, and green-light sensitive photoreceptor. Moreover, opsin expression patterns differed between both sexes and the onset of a particular opsin occurred at different time points during retinal development. Immunostainings of the developing honeybee retina in Chapter 2 showed that at the beginning of pupation the retina consist only of a thin hypodermis. However, at this stage all retinal structures are already present. From about mid of pupation, opsin expression levels increase and goes hand in hand with the differentiation of the rhabdoms, suggesting a two-step process in photoreceptor development and differentiation in the honeybee compound eye. In a first step the photoreceptor cells meet its fate during late pupation; in a second step, the quantity of opsin expression in each photoreceptor strongly increase up to the 25-fold shortly after eclosion. To date, the underlying mechanisms leading to different photoreceptor types have been intensively studied in the fruit fly, Drosophila melanogaster, and to some extend in butterflies. Interestingly, the molecular mechanisms seemed to be conserved within insects and e.g. the two transcription factors, spalt and spineless, which have been shown to be essential for photoreceptor determination in flies and butterflies, have been also identified in the honeybee. In chapter 3, I investigated the expression patterns of both transcription factors during pupal development of honeybee workers and showed that spalt is mainly expressed during the first few pupal stages which might correlate with the onset of BLop expression. Further, spineless showed a prominent peak at mid of pupation which might initiates the expression of Lop1. However, whether spalt and spineless are also essential for photoreceptor determination in the honeybee has still to be investigated, e.g. by a knockdown/out of the respective transcription factor during retinal development which leads to a spectral phenotype, e.g. a dichromatic eye. Such spectral phenotypes can then be tested in behavioral experiments in order to test the function of specific photoreceptors for color perception and the entrainment of the circadian clock. In order to evaluate the color discrimination capabilities of bees and the quality of color perception, a reliable behavioral experiment under controlled conditions is a prerequisite. Hence, in chapter 4, I aimed to establish the visual PER paradigm as a suitable method for behaviorally testing color vision in bees. Since PER color vision has considered to be difficult in bees and was not successful in Western honeybees without ablating the bee's antennae or presenting color stimuli in combination with other cues for several decades, the experimental setup was first established in bumblebees which have been shown to be robust and reliable, e.g. during electrophysiological recordings. Workers and drones of the bufftailed bumblebee, Bombus terrestris were able to associate different monochromatic light stimuli with a sugar reward and succeeded in discriminating a rewarded color stimulus from an unrewarded color stimulus. They were also able to retrieve the learned stimulus after two hours, and workers successfully transferred the learned information to a new behavioral context. In the next step, the experimental setup was adapted to honeybees. In chapter 5, I tested the setup in two medium-sized honeybees, the Eastern honeybee, Apis cerana and the Western honeybee, Apis mellifera. Both honeybee species were able to associate and discriminate between two monochromatic light stimuli, blue and green light, with peak sensitivities of 435 nm and 528 nm. Eastern and Western honeybees also successfully retrieve the learned stimulus after two hours, similar to the bumblebees. Visual conditioning setups and training protocols in my study significantly differed from previous studies using PER conditioning. A crucial feature found to be important for a successful visual PER conditioning is the duration of the conditioned stimulus presentation. In chapter 6, I systematically tested different length of stimuli presentations, since visual PER conditioning in earlier studies tended to be only successful when the conditioned stimulus is presented for more than 10 seconds. In this thesis, intact honeybee workers could successfully discriminate two monochromatic lights when the stimulus was presented 10 s before reward was offered, but failed, when the duration of stimulus presentation was shorter than 4 s. In order to allow a more comparable conditioning, I developed a new setup which includes a shutter, driven by a PC based software program. The revised setup allows a more precise and automatized visual PER conditioning, facilitating performance levels comparable to olfactory conditioning and providing now an excellent method to evaluate visual perception and cognition of bees under constant and controlled conditions in future studies.}, subject = {Biene}, language = {en} }