@phdthesis{Chen2018,
  author    = {Chen, Jiangtian},
  title     = {Functions of allatostatin A (AstA) and myoinhibitory peptides (MIPs) in the regulation of food intake and sleep in Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-156838},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2018},
  abstract  = {Neuropeptides and peptide hormones carrying neural or physiological information are intercellular signalling substances. They control most if not all biological processes in vertebrates and invertebrates by acting on specific receptors on the target cell. In mammals, many different neuropeptides and peptide hormones are involved in the regulation of feeding and sleep. In \textit{Drosophila}, allatostatin A (AstA) and myoinhibitory peptides (MIPs) are brain-gut peptides. The AstA receptors are homologues of the mammalian galanin receptors and the amino acid sequences of MIPs are similar to a part of galanin, which has an orexigenic effect and is implicated in the control of sleep behaviour in mammals. I am interested in dissecting pleiotropic functions of AstA and MIPs in the regulation of food intake and sleep in \textit{Drosophila}. \par In the first part of the dissertation the roles of brain-gut peptide allatostatin A are analysed. Due to the genetic and molecular tools available, the fruit fly \textit{Drosophila melanogaster} is chosen to investigate functions of AstA. The aims in this part are to identify pleiotropic functions of AstA and assign specific effects to the activity of certain subsets of AstA expressing cells in \textit{Drosophila} adults. A new and restricted \textit{AstA\textsuperscript{34}-Gal4} line was generated. The confocal imaging result showed that AstA neurons are located in the posterior lateral protocerebrum (PLP), the gnathal ganglia (GNG), the medullae, and thoracic-abdominal ganglion (TAG). AstA producing DLAa neurons in the TAG innervate hindgut and the poterior part of midgut. In addition, AstA are detected in the enteroendocrine cells (EECs).\par Thermogenetic activation and neurogenetic silencing tools with the aid of the \textit{UAS/Gal4} system were employed to manipulate the activity of all or individual subsets of AstA cells and investigate the effects on food intake, locomotor activity and sleep. Our experimental results showed that thermogenetic activation of two pairs of PLP neurons and/or AstA expressing EECs reduced food intake, which can be traced to AstA signalling by using \textit{AstA} mutants. In the locomotor activity, thermogenetic activation of two pairs of PLP neurons and/or AstA expressing EECs resulted in strongly inhibited locomotor activity and promoted sleep without sexual difference, which was most apparent during the morning and evening activity peaks. The experimental and control flies were not impaired in climbing ability. In contrast, conditional silencing of the PLP neurons and/or AstA expressing EECs reduced sleep specifically in the siesta. The arousal experiment was employed to test for the sleep intensity. Thermogenetically activated flies walked significantly slower and a shorter distance than controls for all arousal stimulus intensities. Furthermore, PDF receptor was detected in the PLP neurons and the PLP neurons reacted with an intracellular increase of cAMP upon PDF, only when PDF receptor was present. Constitutive activation of AstA cells by tethered PDF increased sleep and thermogenetic activation of the PDF producing sLNvs promoted sleep specifically in the morning and evening. \par The study shows that the PLP neurons and/or EECs vis AstA signalling subserve an anorexigenic and sleep-regulating function in \textit{Drosophila}. The PLP neurons arborise in the posterior superior protocerebrum, where the sleep relevant dopaminergic neurons are located, and EECs extend themselves to reach the gut lumen. Thus, the PLP neurons are well positioned to regulate sleep and EECs potentially modulate feeding and possibly locomotor activity and sleep during sending the nutritional information from the gut to the brain. The results of imaging, activation of the PDF signalling pathway by tethered PDF and thermoactivation of PDF expressing sLNvs suggest that the PLP neurons are modulated by PDF from sLNv clock neurons and AstA in PLP neurons is the downstream target of the central clock to modulate locomotor activity and sleep. AstA receptors are homologues of galanin receptors and both of them are involved in the regulation of feeding and sleep, which appears to be conserved in evolutionary aspect.\par In the second part of the dissertation, I analysed the role of myoinhibitory peptides. MIPs are brain-gut peptides in insects and polychaeta. Also in \textit{Drosophila}, MIPs are expressed in the CNS and EECs in the gut. Previous studies have demonstrated the functions of MIPs in the regulation of food intake, gut motility and ecdysis in moths and crickets. Yet, the functions of MIPs in the fruit fly are little known. To dissect effects of MIPs regarding feeding, locomotor activity and sleep in \textit{Drosophila melanogater}, I manipulated the activity of MIP\textsuperscript{W{\"U}} cells by using newly generated \textit{Mip\textsuperscript{W{\"U}}-Gal4} lines. Thermogenetical activation or genetical silencing of MIP\textsuperscript{W{\"U}} celles did not affect feeding behaviour and resulted in changes in the sleep status. \par My results are in contradiction to a recent research of Min Soohong and colleagues who demonstrated a role of MIPs in the regulation of food intake and body weight in \textit{Drosophila}. They showed that constitutive silencing of MIP\textsuperscript{KR} cells increased food intake and body weight, whereas thermogenetic activation of MIP\textsuperscript{KR} cells decreased food intake and body weight by using \textit{Mip\textsuperscript{KR}-Gal4} driver. Then I repeated the experiments with the \textit{Mip\textsuperscript{KR}-Gal4} driver, but could not reproduce the results. Interestingly, I just observed the opposite phenotype. When MIP\textsuperscript{KR} cells were silenced by expressing UAS-tetanus toxin (\textit{UAS-TNT}), the \textit{Mip\textsuperscript{KR}\$>\$TNT} flies showed reduced food intake. The thermogenetic activation of MIP\textsuperscript{KR} cells did not affect food intake. Furthermore, I observed that the thermogenetic activation of MIP\textsuperscript{KR} cells strongly reduced the sleep duration.\par In the third part of the dissertation, I adapted and improved a method for metabolic labelling for \textit{Drosophila} peptides to quantify the relative amount of peptides and the released peptides by mass spectrometry under different physiological and behavioural conditions. qRT-PCR is a practical technique to measure the transcription and the corresponding mRNA level of a given peptide. However, this is not the only way to measure the translation and production of peptides. Although the amount of peptides can be quantified by mass spectrometry, it is not possible to distinguish between peptides stored in vesicles and released peptides in CNS extracts. I construct an approach to assess the released peptides, which can be calculated by comparing the relative amount of peptides between two timepoints in combination with the mRNA levels which can be used as semiquantitative proxy reflecting the production of peptides during this period. \par After optimizing the protocol for metabolic labelling, I carried out a quantitative analysis of peptides before and after eclosion as a test. I was able to show that the EH- and SIFa-related peptides were strongly reduced after eclosion. This is in line with the known function and release of EH during eclosion. Since this test was positive, I next used the metabolic labelling in \textit{Drosophila} adult, which were either fed \textit{ad libitum} or starved for 24 hrs, and analysed the effects on the amount of AstA and MIPs. In the mRNA level, my results showed that in the brain \textit{AstA} mRNA level in the 24 hrs starved flies was increased compared to in the \textit{ad libitum} fed flies, whereas in the gut the \textit{AstA} mRNA level was decreased. Starvation induced the reduction of \textit{Mip} mRNA level in the brain and gut. Unfortunately, due to technical problems I was unable to analyse the metabolic labelled peptides during the course of this thesis.\par},
  subject      = {AstA},
  language  = {en}
}
@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{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{Aso2010,
  author    = {Aso, Yoshinori},
  title     = {Dissecting the neuronal circuit for olfactory learning in Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-55483},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2010},
  abstract  = {This thesis consists of three major chapters, each of which has been separately published or under the process for publication. The first chapter is about anatomical characterization of the mushroom body of adult Drosophila melanogaster. The mushroom body is the center for olfactory learning and many other functions in the insect brains. The functions of the mushroom body have been studied by utilizing the GAL4/UAS gene expression system. The present study characterized the expression patterns of the commonly used GAL4 drivers for the mushroom body intrinsic neurons, Kenyon cells. Thereby, we revealed the numerical composition of the different types of Kenyon cells and found one subtype of the Kenyon cells that have not been described. The second and third chapters together demonstrate that the multiple types of dopaminergic neurons mediate the aversive reinforcement signals to the mushroom body. They induce the parallel memory traces that constitute the different temporal domains of the aversive odor memory. In prior to these chapters, "General introduction and discussion" section reviews and discuss about the current understanding of neuronal circuit for olfactory learning in Drosophila.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Amini2024,
  author    = {Amini, Emad},
  title     = {How central and peripheral clocks and the neuroendocrine system interact to time eclosion behavior in \(Drosophila\) \(melanogaster\)},
  doi       = {10.25972/OPUS-36130},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-361309},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {To grow larger, insects must shed their old rigid exoskeleton and replace it with a new one. This process is called molting and the motor behavior that sheds the old cuticle is called ecdysis. Holometabolic insects have pupal stages in between their larval and adult forms, during which they perform metamorphosis. The pupal stage ends with eclosion, i.e., the emergence of the adult from the pupal shell. Insects typically eclose at a specific time during the day, likely when abiotic conditions are at their optimum. A newly eclosed insect is fragile and needs time to harden its exoskeleton. Hence, eclosion is regulated by sophisticated developmental and circadian timing mechanisms. In Drosophila melanogaster, eclosion is limited to a daily time window in the morning, regarded as the "eclosion gate". In a population of laboratory flies entrained by light/dark cycles, most of the flies eclose around lights on. This rhythmic eclosion pattern is controlled by the circadian clock and persists even under constant conditions. Developmental timing is under the control of complex hormonal signaling, including the steroid ecdysone, insulin-like peptides, and prothoracicotropic hormone (PTTH). The interactions of the central circadian clock in the brain and a peripheral clock in the prothoracic gland (PG) that produces ecdysone are important for the circadian timing of eclosion. These two clocks are connected by a bilateral pair of peptidergic PTTH neurons (PTTHn) that project to the PG. Before each molt, the ecdysone level rises and then falls shortly before ecdysis. The falling ecdysone level must fall below a certain threshold value for the eclosion gate to open. The activity of PTTHn is inhibited by short neuropeptide F (sNPF) from the small ventrolateral neurons (sLNvs) and inhibition is thought to lead to a decrease in ecdysone production. The general aim of this thesis is to further the understanding of how the circadian clock and neuroendocrinal pathways are coordinated to drive eclosion rhythmicity and to identify when these endocrinal signaling pathways are active. In Chapter I, a series of conditional PTTHn silencing-based behavioral assays, combined with neuronal activity imaging techniques such as non-invasive ARG-Luc show that PTTH signaling is active and required shortly before eclosion and may serve to phase-adjust the activity of the PG at the end of pupal development. Trans-synaptic anatomical stainings identified the sLNvs, dorsal neurons 1 (DN1), dorsal neurons 2 (DN2), and lateral posterior neurons (LPNs) clock neurons as directly upstream of the PTTHn. Eclosion motor behavior is initiated by Ecdysis triggering hormone (ETH) which activates a pair of ventromedial (Vm) neurons to release eclosion hormone (EH) which positively feeds back to the source of ETH, the endocrine Inka cells. In Chapter II trans-synaptic tracing showed that most clock neurons provide input to the Vm and non-canonical EH neurons. Hence, clock can potentially influence the ETH/EH feedback loop. The activity profile of the Inka cells and Vm neurons before eclosion is described. Vm and Inka cells are active around seven hours before eclosion. Interestingly, all EH neurons appear to be exclusively peptidergic. In Chapter III, using chemoconnectomics, PTTHns were found to express receptors for sNPF, allatostatin A (AstA), allatostatin C (AstC), and myosuppressin (Ms), while EH neurons expressed only Ms and AstA receptors. Eclosion assays of flies with impaired AstA, AstC, or Ms signaling do not show arrhythmicity under constant conditions. However, optogenetic activation of the AstA neurons strongly suppresses eclosion. Chapter IV focuses on peripheral ventral' Tracheal dendrite (v'Td) and class IV dendritic arborization (C4da) neurons. The C4da neurons mediate larval light avoidance through endocrine PTTH signaling. The v'Td neurons mainly receive O2/CO2 input from the trachea and are upstream of Vm neurons but are not required for eclosion rhythmicity. Conditional ablation of the C4da neurons or torso (receptor of PTTH) knock-out in the C4da neurons impaired eclosion rhythmicity. Six to seven hours before eclosion, PTTHn, C4da, and Vm neurons are active based on ARG-Luc imaging. Thus, C4da neurons may indirectly connect the PTTHn to the Vm neurons. In summary, this thesis advances our knowledge of the temporal activity and role of PTTH signaling during pupal development and rhythmic eclosion. It further provides a comprehensive characterization of the synaptic and peptidergic inputs from clock neurons to PTTHn and EH neurons. AstA, AstC, and Ms are identified as potential modulators of eclosion circuits and suggest an indirect effect of PTTH signaling on EH signaling via the peripheral sensory C4da neurons.},
  subject      = {Neuroendokrines System},
  language  = {en}
}