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In recent years high-throughput experiments provided a vast amount of data from all areas of molecular biology, including genomics, transcriptomics, proteomics and metabolomics. Its analysis using bioinformatics methods has developed accordingly, towards a systematic approach to understand how genes and their resulting proteins give rise to biological form and function. They interact with each other and with other molecules in highly complex structures, which are explored in network biology. The in-depth knowledge of genes and proteins obtained from high-throughput experiments can be complemented by the architecture of molecular networks to gain a deeper understanding of biological processes. This thesis provides methods and statistical analyses for the integration of molecular data into biological networks and the identification of functional modules, as well as its application to distinct biological data. The integrated network approach is implemented as a software package, termed BioNet, for the statistical language R. The package includes the statistics for the integration of transcriptomic and functional data with biological networks, the scoring of nodes and edges of these networks as well as methods for subnetwork search and visualisation. The exact algorithm is extensively tested in a simulation study and outperforms existing heuristic methods for the calculation of this NP-hard problem in accuracy and robustness. The variability of the resulting solutions is assessed on perturbed data, mimicking random or biased factors that obscure the biological signal, generated for the integrated data and the network. An optimal, robust module can be calculated using a consensus approach, based on a resampling method. It summarizes optimally an ensemble of solutions in a robust consensus module with the estimated variability indicated by confidence values for the nodes and edges. The approach is subsequently applied to two gene expression data sets. The first application analyses gene expression data for acute lymphoblastic leukaemia (ALL) and differences between the subgroups with and without an oncogenic BCR/ABL gene fusion. In a second application gene expression and survival data from diffuse large B-cell lymphomas are examined. The identified modules include and extend already existing gene lists and signatures by further significant genes and their interactions. The most important novelty is that these genes are determined and visualised in the context of their interactions as a functional module and not as a list of independent and unrelated transcripts. In a third application the integrative network approach is used to trace changes in tardigrade metabolism to identify pathways responsible for their extreme resistance to environmental changes and endurance in an inactive tun state. For the first time a metabolic network approach is proposed to detect shifts in metabolic pathways, integrating transcriptome and metabolite data. Concluding, the presented integrated network approach is an adequate technique to unite high-throughput experimental data for single molecules and their intermolecular dependencies. It is flexible to apply on diverse data, ranging from gene expression changes over metabolite abundances to protein modifications in a combination with a suitable molecular network. The exact algorithm is accurate and robust in comparison to heuristic approaches and delivers an optimal, robust solution in form of a consensus module with confidence values. By the integration of diverse sources of information and a simultaneous inspection of a molecular event from different points of view, new and exhaustive insights into biological processes can be acquired.
The development of all honey bee castes proceeds through three different life stages all of which encounter microbial infections to a various extent. We have examined the immune strength of honey bees across all developmental stages with emphasis on the temporal expression of cellular and humoral immune responses upon artificial challenge with viable Escherichia coli bacteria. We employed a broad array of methods to investigate defence strategies of infected individuals: (a) fate of bacteria in the haemocoel; (b) nodule formation and (c) induction of antimicrobial peptides (AMPs). Newly emerged adult worker bees and drones were able to activate efficiently all examined immune reactions. The number of viable bacteria circulating in the haemocoel of infected bees declined rapidly by more than two orders of magnitude within the first 4–6 h post-injection (p.i.), coinciding with the occurrence of melanised nodules. Antimicrobial activity, on the other hand, became detectable only after the initial bacterial clearance. These two temporal patterns of defence reactions very likely represent the constitutive cellular and the induced humoral immune response. A unique feature of honey bees is that a fraction of worker bees survives the winter season in a cluster mostly engaged in thermoregulation. We show here that the overall immune strength of winter bees matches that of young summer bees although nodulation reactions are not initiated at all. As expected, high doses of injected viable E.coli bacteria caused no mortality in larvae or adults of each age. However, drone and worker pupae succumbed to challenge with E.coli even at low doses, accompanied by a premature darkening of the pupal body. In contrast to larvae and adults, we observed no fast clearance of viable bacteria and no induction of AMPs but a rapid proliferation of E.coli bacteria in the haemocoel of bee pupae ultimately leading to their death.
Neural processing of a desired moving direction requires the continuous comparison between the current heading and the goal direction. While the neural basis underlying the current heading is well-studied, the coding of the goal direction remains unclear in insects. Here, we used tetrode recordings in tethered flying monarch butterflies to unravel how a goal direction is represented in the insect brain. While recording, the butterflies maintained robust goal directions relative to a virtual sun. By resetting their goal directions, we found neurons whose spatial tuning was tightly linked to the goal directions. Importantly, their tuning was unaffected when the butterflies changed their heading after compass perturbations, showing that these neurons specifically encode the goal direction. Overall, we here discovered invertebrate goal-direction neurons that share functional similarities to goal-direction cells reported in mammals. Our results give insights into the evolutionarily conserved principles of goal-directed spatial orientation in animals.
Echolocation behavior, a navigation strategy based on acoustic signals, allows scientists to explore neural processing of behaviorally relevant stimuli. For the purpose of orientation, bats broadcast echolocation calls and extract spatial information from the echoes. Because bats control call emission and thus the availability of spatial information, the behavioral relevance of these signals is undiscussable. While most neurophysiological studies, conducted in the past, used synthesized acoustic stimuli that mimic portions of the echolocation signals, recent progress has been made to understand how naturalistic echolocation signals are encoded in the bat brain. Here, we review how does stimulus history affect neural processing, how spatial information from multiple objects and how echolocation signals embedded in a naturalistic, noisy environment are processed in the bat brain. We end our review by discussing the huge potential that state-of-the-art recording techniques provide to gain a more complete picture on the neuroethology of echolocation behavior.
Chronobiological studies of individual activity rhythms in social insects can be constrained by the artificial isolation of individuals from their social context. We present a new experimental set-up that simultaneously measures the temperature rhythm in a queen-less but brood raising mini colony and the walking activity rhythms of singly kept honey bees that have indirect social contact with it. Our approach enables monitoring of individual bees in the social context of a mini colony under controlled laboratory conditions. In a pilot experiment, we show that social contact with the mini colony improves the survival of monitored young individuals and affects locomotor activity patterns of young and old bees. When exposed to conflicting Zeitgebers consisting of a light-dark (LD) cycle that is phase-delayed with respect to the mini colony rhythm, rhythms of young and old bees are socially synchronized with the mini colony rhythm, whereas isolated bees synchronize to the LD cycle. We conclude that the social environment is a stronger Zeitgeber than the LD cycle and that our new experimental set-up is well suited for studying the mechanisms of social entrainment in honey bees.
Life on earth adapted to the daily reoccurring changes in environment by evolving an endogenous circadian clock. Although the circadian clock has a crucial impact on survival and behavior of solitary bees, many aspects of solitary bee clock mechanisms remain unknown. Our study is the first to show that the circadian clock governs emergence in Osmia bicornis, a bee species which overwinters as adult inside its cocoon. Therefore, its eclosion from the pupal case is separated by an interjacent diapause from its emergence in spring. We show that this bee species synchronizes its emergence to the morning. The daily rhythms of emergence are triggered by temperature cycles but not by light cycles. In contrast to this, the bee’s daily rhythms in locomotion are synchronized by light cycles. Thus, we show that the circadian clock of O. bicornis is set by either temperature or light, depending on what activity is timed. Light is a valuable cue for setting the circadian clock when bees have left the nest. However, for pre-emerged bees, temperature is the most important cue, which may represent an evolutionary adaptation of the circadian system to the cavity-nesting life style of O. bicornis.
Timing seasonal events, like reproduction or diapause, is crucial for the survival of many species. Global change causes phenologies worldwide to shift, which requires a mechanistic explanation of seasonal time measurement. Day length (photoperiod) is a reliable indicator of winter arrival, but it remains unclear how exactly species measure day length. A reference for time of day could be provided by a circadian clock, by an hourglass clock, or, as some newer models suggest, by a damped circadian clock. However, damping of clock outputs has so far been rarely observed. To study putative clock outputs of Acyrthosiphon pisum aphids, we raised individual nymphs on coloured artificial diet, and measured rhythms in metabolic activity in light-dark illumination cycles of 16:08 hours (LD) and constant conditions (DD). In addition, we kept individuals in a novel monitoring setup and measured locomotor activity. We found that A. pisum is day-active in LD, potentially with a bimodal distribution. In constant darkness rhythmicity of locomotor behaviour persisted in some individuals, but patterns were mostly complex with several predominant periods. Metabolic activity, on the other hand, damped quickly. A damped circadian clock, potentially driven by multiple oscillator populations, is the most likely explanation of our results.
The neuropeptide pigment-dispersing factor (PDF) plays a prominent role in the circadian clock of many insects including honey bees. In the honey bee brain, PDF is expressed in about 15 clock neurons per hemisphere that lie between the central brain and the optic lobes. As in other insects, the bee PDF neurons form wide arborizations in the brain, but certain differences are evident. For example, they arborize only sparsely in the accessory medulla (AME), which serves as important communication center of the circadian clock in cockroaches and flies. Furthermore, all bee PDF neurons cluster together, which makes it impossible to distinguish individual projections. Here, we investigated the developing bee PDF network and found that the first three PDF neurons arise in the third larval instar and form a dense network of varicose fibers at the base of the developing medulla that strongly resembles the AME of hemimetabolous insects. In addition, they send faint fibers toward the lateral superior protocerebrum. In last larval instar, PDF cells with larger somata appear and send fibers toward the distal medulla and the medial protocerebrum. In the dorsal part of the medulla serpentine layer, a small PDF knot evolves from which PDF fibers extend ventrally. This knot disappears during metamorphosis and the varicose arborizations in the putative AME become fainter. Instead, a new strongly stained PDF fiber hub appears in front of the lobula. Simultaneously, the number of PDF neurons increases and the PDF neuronal network in the brain gets continuously more complex.
The fruit fly Drosophila melanogaster is an established model organism in chronobiology, because genetic manipulation and breeding in the laboratory are easy. The circadian clock neuroanatomy in D. melanogaster is one of the best-known clock networks in insects and basic circadian behavior has been characterized in detail in this insect. Another model in chronobiology is the honey bee Apis mellifera, of which diurnal foraging behavior has been described already in the early twentieth century. A. mellifera hallmarks the research on the interplay between the clock and sociality and complex behaviors like sun compass navigation and time-place-learning. Nevertheless, there are aspects of clock structure and function, like for example the role of the clock in photoperiodism and diapause, which can be only insufficiently investigated in these two models. Unlike high-latitude flies such as Chymomyza costata or D. ezoana, cosmopolitan D. melanogaster flies do not display a photoperiodic diapause. Similarly, A. mellifera bees do not go into “real” diapause, but most solitary bee species exhibit an obligatory diapause. Furthermore, sociality evolved in different Hymenoptera independently, wherefore it might be misleading to study the social clock only in one social insect. Consequently, additional research on non-model insects is required to understand the circadian clock in Diptera and Hymenoptera. In this review, we introduce the two chronobiology model insects D. melanogaster and A. mellifera, compare them with other insects and show their advantages and limitations as general models for insect circadian clocks.
Post-embryonic Development of the Circadian Clock Seems to Correlate With Social Life Style in Bees
(2020)
Social life style can influence many aspects of an animal’s daily life, but it has not yet been clarified, whether development of the circadian clock in social and solitary living bees differs. In a comparative study, with the social honey bee, Apis mellifera, and the solitary mason bee, Osmia bicornis, we now found indications for a differentially timed clock development in social and solitary bees. Newly emerged solitary bees showed rhythmic locomotion right away and the number of neurons in the brain that produce the clock component pigment-dispersing factor (PDF) did not change during aging of the adult solitary bee. Honey bees on the other hand, showed no circadian locomotion directly after emergence and the neuronal clock network continued to grow after emergence. Social bees appear to emerge at an early developmental stage at which the circadian clock is still immature, but bees are already able to fulfill in-hive tasks.
Summary
Bees, like many other organisms, evolved an endogenous circadian clock, which enables them to foresee daily environmental changes and exactly time foraging flights to periods of floral resource availability. The social lifestyle of a honey bee colony has been shown to influence circadian behavior in nurse bees, which do not exhibit rhythmic behavior when they are nursing. On the other hand, forager bees display strong circadian rhythms. Solitary bees, like the mason bee, do not nurse their offspring and do not live in hive communities, but face the same daily environmental changes as honey bees. Besides their lifestyle mason and honey bees differ in their development and life history, because mason bees overwinter after eclosion as adults in their cocoons until they emerge in spring. Honey bees do not undergo diapause and have a relatively short development of a few weeks until they emerge. In my thesis, I present a comparison of the circadian clock of social honey bees (Apis mellifera) and solitary mason bees (Osmia bicornis and Osmia cornuta) on the neuroanatomical level and behavioral output level.
I firstly characterized in detail the localization of the circadian clock in the bee brain via the expression pattern of two clock components, namely the clock protein PERIOD (PER) and the neuropeptide Pigment Dispersing Factor (PDF), in the brain of honey bee and mason bee. PER is localized in lateral neuron clusters (which we called lateral neurons 1 and 2: LN1 and LN2) and dorsal neuron clusters (we called dorsal lateral neurons and dorsal neurons: DLN, DN), many glia cells and photoreceptor cells. This expression pattern is similar to the one in other insect species and indicates a common ground plan of clock cells among insects. In the LN2 neuron cluster with cell bodies located in the lateral brain, PER is co-expressed with PDF. These cells build a complex arborization network throughout the brain and provide the perfect structure to convey time information to brain centers, where complex behavior, e.g. sun-compass orientation and time memory, is controlled. The PDF arborizations centralize in a dense network (we named it anterio-lobular PDF hub: ALO) which is located in front of the lobula. In other insects, this fiber center is associated with the medulla (accessory medulla: AME). Few PDF cells build the ALO already in very early larval development and the cell number and complexity of the network grows throughout honey bee development. Thereby, dorsal regions are innervated first by PDF fibers and, in late larval development, the fibers grow laterally to the optic lobe and central brain. The overall expression pattern of PER and PDF are similar in adult social and solitary bees, but I found a few differences in the PDF network density in the posterior protocerebrum and the lamina, which may be associated with evolution of sociality in bees.
Secondly, I monitored activity rhythms, for which I developed and established a device to monitor locomotor activity rhythms of individual honey bees with contact to a mini colony in the laboratory. This revealed new aspects of social synchronization and survival of young bees with indirect social contact to the mini colony (no trophalaxis was possible). For mason bees, I established a method to monitor emergence and locomotor activity rhythms and I could show that circadian emergence rhythms are entrainable by daily temperature cycles. Furthermore, I present the first locomotor activity rhythms of solitary bees, which show strong circadian rhythms in their behavior right after emergence. Honey bees needed several days to develop circadian locomotor rhythms in my experiments. I hypothesized that honey bees do not emerge with a fully matured circadian system in the hive, while solitary bees, without the protection of a colony, would need a fully matured circadian clock right away after emergence. Several indices in published work and preliminary studies support my hypothesis and future studies on PDF expression in different developmental stages in solitary bees may provide hard evidence.
Age‐dependent transcriptional and epigenomic responses to light exposure in the honey bee brain
(2016)
Light is a powerful environmental stimulus of special importance in social honey bees that undergo a behavioral transition from in-hive to outdoor foraging duties. Our previous work has shown that light exposure induces structural neuronal plasticity in the mushroom bodies (MBs), a brain center implicated in processing inputs from sensory modalities. Here, we extended these analyses to the molecular level to unravel light-induced transcriptomic and epigenomic changes in the honey bee brain. We have compared gene expression in brain compartments of 1- and 7-day-old light-exposed honey bees with age-matched dark-kept individuals. We have found a number of differentially expressed genes (DEGs), both novel and conserved, including several genes with reported roles in neuronal plasticity. Most of the DEGs show age-related changes in the amplitude of light-induced expression and are likely to be both developmentally and environmentally regulated. Some of the DEGs are either known to be methylated or are implicated in epigenetic processes suggesting that responses to light exposure are at least partly regulated at the epigenome level. Consistent with this idea light alters the DNA methylation pattern of bgm, one of the DEGs affected by light exposure, and the expression of microRNA miR-932. This confirms the usefulness of our approach to identify candidate genes for neuronal plasticity and provides evidence for the role of epigenetic processes in driving the molecular responses to visual stimulation.
The honeybee is a well studied and important organism in neuroethology. The possibility to train them with a classical conditioning paradigm and their miniature brain provide a perfect requisite to investigate the neuronal principles of learning and memory. Honeybees use visual and olfactory cues to detect flowers during their foraging trips. Hence, the reward association of a nectar source is a multi-modal construct, which has at least two major components - olfactory and visual cues. It is still an open question, how both sensory components are converged in the mushroom body, which represent the multi-modal integration centre of the honeybee brain. The main goal of this study, is to investigate the processing of multiple modalities and how a reward association is formed. This includes, how and wether both sensory modalities interfere during learning. Thus, in this study stimulation with UV, blue and green light was used to evoke distinct photoreceptor activities in the compound eye. Furthermore, three different odours (Geraniol, Citronellol and Farnesol) were used. These stimuli were tested in three different experimental series. The first experiment involved classical differential conditioning of the single modalities - odour and colour. Honeybees showed high learning performances in differentiating olfactory stimuli and also reliable responses for visual conditioning. Furthermore, a temporal discrepancy in the stimulus length for best learning in the olfatcoty and visual cues was found. In the second series, it was tested how multi-modal compounds are perceived. This includes, unique cues (configural processing) or the sum of the single components of a compound (elemen- tal processing). This was tested by combining single odour components with monochromatic light in a positive (PP) and negative patterning (NP) experiment. During PP, the olfactory- visual compound was rewarded, whereas the single components were unrewarded. In contrast, during NP the single components were reinforced, but the compound was not. In addition, the ability to distinguish between two different light stimuli presented as a part of an olfactory-visual compound with the same odour component during acquisition was tested. In a memory test, the light stimuli were presented again as a compound and in addition as the single components. The results revealed that bees used elemental processing with compounds containing green and blue light. In contrast, when UV light was presented the bees used configural processing. Finally, a third experiment was conducted at the neuronal level. Multi-unit recordings were established to provide a suitable method to analyse extrinsic neurons at the mushroom body output region, the so called ventral lobe of the pedunculus. Here, three different odours (Geran- iol, Farnesol and Citronellol), two colours (green and blue) and two combined stimuli (colour + odour) were chosen as stimuli, to search for possible variations in processing stimuli with different modalities. Two units could be detected that responded mainly to visual stimuli.
Optogenetic manipulation of cells or living organisms became widely used in neuroscience following the introduction of the light-gated ion channel channelrhodopsin-2 (ChR2). ChR2 is a non-selective cation channel, ideally suited to depolarize and evoke action potentials in neurons. However, its calcium (Ca2\(^{2+}\)) permeability and single channel conductance are low and for some applications longer-lasting increases in intracellular Ca\(^{2+}\) might be desirable. Moreover, there is need for an efficient light-gated potassium (K\(^{+}\)) channel that can rapidly inhibit spiking in targeted neurons. Considering the importance of Ca\(^{2+}\) and K\(^{+}\) in cell physiology, light-activated Ca\(^{2+}\)-permeant and K\(^{+}\)-specific channels would be welcome additions to the optogenetic toolbox. Here we describe the engineering of novel light-gated Ca\(^{2+}\)-permeant and K\(^{+}\)-specific channels by fusing a bacterial photoactivated adenylyl cyclase to cyclic nucleotide-gated channels with high permeability for Ca\(^{2+}\) or for K\(^{+}\), respectively. Optimized fusion constructs showed strong light-gated conductance in Xenopus laevis oocytes and in rat hippocampal neurons. These constructs could also be used to control the motility of Drosophila melanogaster larvae, when expressed in motoneurons. Illumination led to body contraction when motoneurons expressed the light-sensitive Ca\(^{2+}\)-permeant channel, and to body extension when expressing the light-sensitive K\(^{+}\) channel, both effectively and reversibly paralyzing the larvae. Further optimization of these constructs will be required for application in adult flies since both constructs led to eclosion failure when expressed in motoneurons.
Endogenous molecular circadian clocks drive daily rhythmic changes at the cellular, physiological, and behavioral level for adaptation to and anticipation of environmental signals. The core molecular system consists of autoregulatory feedback loops, where clock proteins inhibit their own transcription. A complex and not fully understood interplay of regulatory proteins influences activity, localization and stability of clock proteins to set the pace of the clock. This study focuses on the molecular function of Ribosomal S6 Kinase (RSK) in the Drosophila melanogaster circadian clock. Mutations in the human rsk2 gene cause Coffin–Lowry syndrome, which is associated with severe mental disabilities. Knock-out studies with Drosophila ortholog rsk uncovered functions in synaptic processes, axonal transport and adult behavior including associative learning and circadian activity. However, the molecular targets of RSK remain elusive. Our experiments provide evidence that RSK acts in the key pace maker neurons as a negative regulator of Shaggy (SGG) kinase activity, which in turn determines timely nuclear entry of the clock proteins Period and Timeless to close the negative feedback loop. Phosphorylation of serine 9 in SGG is mediated by the C-terminal kinase domain of RSK, which is in agreement with previous genetic studies of RSK in the circadian clock but argues against the prevailing view that only the N-terminal kinase domain of RSK proteins carries the effector function. Our data provide a mechanistic explanation how RSK influences the molecular clock and imply SGG S9 phosphorylation by RSK and other kinases as a convergence point for diverse cellular and external stimuli.
In dieser Arbeit sollte die Funktion von RSK in Motoneuronen von Drosophila untersucht
werden. Mutationen im RSK2-Gen verursachen das Coffin-Lowry-Syndrom (CLS), das durch
mentale Retardierung charakterisiert ist. RSK2 ist hauptsächlich in Regionen des Gehirns
exprimiert, in denen Lernen und Gedächtnisbildung stattfinden. In Mäusen und Drosophila, die
als Modellorganismen für CLS dienen, konnten auf makroskopischer Ebene keine
Veränderungen in den Hirnstrukturen gefunden werden, dennoch wurden in verschiedenen
Verhaltensstudien Defekte im Lernen und der Gedächtnisbildung beobachtet.
Die synaptische Plastizität und die einhergehenden Veränderungen in den Eigenschaften der
Synapse sind fundamental für adaptives Verhalten. Zur Analyse der synaptischen Plastizität
eignet sich das neuromuskuläre System von Drosophila als Modell wegen des stereotypen
Innervierungsmusters und der Verwendung ionotroper Glutamatrezeptoren, deren
Untereinheiten homolog sind zu den Untereinheiten der Glutamatrezeptoren des AMPA-Typs
aus Säugern, die wesentlich für die Bildung von LTP im Hippocampus sind.
Zunächst konnte gezeigt werden, dass RSK in den Motoneuronen von Drosophila an der
präsynaptischen Seite lokalisiert ist, wodurch RSK eine Synapsen-spezifische Funktion
ausüben könnte. Morphologische Untersuchungen der Struktur der neuromuskulären Synapsen
konnten aufzeigen, dass durch den Verlust von RSK die Größe der neuromuskulären Synapse,
der Boutons sowie der Aktiven Zonen und Glutamatrezeptorfelder reduziert ist. Obwohl mehr
Boutons gebildet werden, sind weniger Aktive Zonen und Glutamatrezeptorfelder in der
neuromuskulären Synapse enthalten. RSK reguliert die synaptische Transmission, indem es die
postsynaptische Sensitivität, nicht aber die Freisetzung der Neurotransmitter an der
präsynaptischen Seite beeinflusst, obwohl in immunhistochemischen Analysen eine
postsynaptische Lokalisierung von RSK nicht nachgewiesen werden konnte. RSK ist demnach
an der Regulation der synaptischen Plastizität glutamaterger Synapsen beteiligt.
Durch immunhistochemische Untersuchungen konnte erstmals gezeigt werden, dass aktiviertes
ERK an der präsynaptischen Seite lokalisiert ist und diese synaptische Lokalisierung von RSK
reguliert wird. Darüber hinaus konnte in dieser Arbeit nachgewiesen werden, dass durch den
Verlust von RSK hyperaktiviertes ERK in den Zellkörpern der Motoneurone vorliegt. RSK
wird durch den ERK/MAPK-Signalweg aktiviert und übernimmt eine Funktion sowohl als
Effektorkinase als auch in der Negativregulation des Signalwegs. Demnach dient RSK in den
Zellkörpern der Motoneurone als Negativregulator des ERK/MAPK-Signalwegs. Darüber
hinaus könnte RSK die Verteilung von aktivem ERK in den Subkompartimenten der
Motoneurone regulieren.
Da in vorangegangenen Studien gezeigt werden konnte, dass ERK an der Regulation der
synaptischen Plastizität beteiligt ist, indem es die Insertion der AMPA-Rezeptoren zur Bildung
der LTP reguliert, sollte in dieser Arbeit aufgeklärt werden, ob der Einfluss von RSK auf die
synaptische Plastizität durch seine Funktion als Negativregulator von ERK zustande kommt.
Untersuchungen der genetischen Interaktion von rsk und rolled, dem Homolog von ERK in
Drosophila, zeigten, dass die durch den Verlust von RSK beobachtete reduzierte Gesamtzahl
der Aktiven Zonen und Glutamatrezeptorfelder der neuromuskulären Synapse auf die Funktion
von RSK als Negativregulator von ERK zurückzuführen ist. Die Größe der neuromuskulären
Synapse sowie die Größe der Aktiven Zonen und Glutamatrezeptorfelder beeinflusst RSK
allerdings durch seine Funktion als Effektorkinase des ERK/MAPK-Signalwegs.
Studien des axonalen Transports von Mitochondrien zeigten, dass dieser in vielen
neuropathologischen Erkrankungen beeinträchtigt ist. Die durchgeführten Untersuchungen des
axonalen Transports in Motoneuronen konnten eine neue Funktion von RSK in der Regulation
des axonalen Transports aufdecken. In den Axonen der Motoneurone von RSK-Nullmutanten
wurden BRP- und CSP-Agglomerate nachgewiesen. RSK könnte an der Regulation des
axonalen Transports von präsynaptischem Material beteiligt sein. Durch den Verlust von RSK
wurden weniger Mitochondrien in anterograder Richtung entlang dem Axon transportiert, dafür verweilten mehr Mitochondrien in stationären Phasen. Diese Ergebnisse zeigen, dass
auch der anterograde Transport von Mitochondrien durch den Verlust von RSK beeinträchtigt
ist.
Die NO-sensitive Guanylyl-Cyclase (NO-GC) ist ein zentrales Enzym der NO/cGMP-Signalkaskade, das über die Aktivierung von NO zur Bildung des second messangers cGMP führt. Die NO-GC setzt sich aus zwei Untereinheiten zusammen, sodass zwei Isoformen des Enzyms gebildet werden können (α1β1 und α2β1). Da die genaue Verteilung der beiden Isoformen im Colon nicht bekannt ist, wurde diese im ersten Teil dieser Arbeit charakterisiert. Immunhistochemie und In-situ-Hybridisierung zeigten die Expression beider Isoformen sowohl in der glatten Muskelschicht als auch in der Submukosa und Lamina propria. Dabei war die α1β1-Isoform ubiquitär, die α2β1-Isoform dagegen hauptsächlich im Bereich des myenterischen Plexus vorzufinden.
In der glatten Muskelschicht des Colons ist die NO-GC in glatten Muskelzellen (SMC), interstitiellen Zellen von Cajal (ICC) sowie Fibroblasten-ähnliche Zellen (FLC) exprimiert und hauptsächlich in die Modulation der gastrointestinalen Motilität involviert. Zur spezifischen Charakterisierung der Funktion der NO-GC in den einzelnen Zelltypen wurden Knockout-Mäuse generiert, denen die NO-GC global (GCKO) oder spezifisch in SMC (SMC-GCKO), ICC (ICC-GCKO) oder beiden Zelltypen (SMC/ICC-GCKO) fehlt. Anhand dieser Mausmodelle sollten im zweiten Teil dieser Arbeit die modulatorischen Effekte der NO-GC auf die spontanen Kontraktionen des Colons bestimmt werden. Zur Charakterisierung der spontanen Kontraktionen der zirkulären Muskelschicht wurden Myographiestudien mit 2,5 mm langen Colonringen durchgeführt. Hierbei konnten drei verschiedene Kontraktionen gemessen werden: Kleine, hochfrequente Ripples, mittlere Kontraktionen und große Kontraktionen. Die detaillierte Analyse der einzelnen Kontraktionen zeigte einerseits eine NO-unabhängige Regulation der Ripples, andererseits eine NO-abhängige Modulation der mittleren und großen Kontraktionen über die NO-GC in SMC und ICC. Die NO-GC in SMC beeinflusst die Kontraktionen vermutlich vor allem über die Regulation des Muskeltonus der zirkulären Muskelschicht. Die NO-GC in ICC dagegen modifiziert die spontanen Kontraktionen möglicherweise über eine Veränderung der Schrittmacheraktivität. Allerdings führt erst ein Funktionsverlust des NO/cGMP-Signalweges in beiden Zelltypen zu einem sichtbar veränderten Kontraktionsmuster, das dem von globalen Knockout-Tieren glich. Dies weist auf eine kompensatorische Wirkung der NO-GC im jeweils anderen Zelltyp hin.
Zur Analyse der propulsiven Kontraktionen entlang des gesamten Colons wurden Videoaufnahmen der Darmbewegungen in Kontraktionsmusterkarten transformiert. Zudem wurde der Darm durchspült und die Ausflusstropfen aufgezeichnet, um die Effektivität der Kontraktionen beurteilen zu können. Hierbei zeigte sich, dass eine Beeinträchtigung des NO/cGMP-Signalweges eine verminderte Effektivität der Kontraktionen zur Folge hat und vermutlich durch eine beeinträchtige Synchronisation der Kontraktionen erklärt werden kann. In diesem Regulationsmechanismus konnte vor allem der NO-GC in SMC eine übergeordnete Rolle zugewiesen werden.
Der dritte Teil der Arbeit thematisierte den Befund, dass SMC-GCKO-Tiere ca. 5 Monate nach Tamoxifen-Behandlung Entartungen der Mukosa entwickelten. Diese Entartung war lediglich in Tamoxifen-induzierten Knockout-Tieren vorzufinden. Histologische Analysen identifizierten die Entartungen als tubulovillöses Adenom. Die Genexpressionsanalyse von Mukosafalten von SMC-GCKO- und heterozygoten Kontrolltieren zeigte eine Vielzahl von Genen, welche spezifisch bei colorectalem Karzinom differenziell exprimiert sind. Einer dieser Faktoren war der BMP-Antagonist Gremlin1. Dieser Faktor erschien von besonderem Interesse, da er in Zellen der Lamina muscularis mucosae und kryptennahen Myofibroblasten exprimiert wird. Immunhistochemische Analysen ließen vermuten, dass diese Zellen sowohl die NO-GC als auch die Cre-Rekombinase unter dem SMMHC-Promotor exprimieren. Diese Arbeit liefert demnach Hinweise darauf, dass die NO-GC einen wichtigen Regulator innerhalb der Stammzellnische bildet. Die Deletion der NO-GC führt vermutlich zu einer verstärkten Bildung bzw. Sekretion von Gremlin1, was die Homöostase der mukosalen Erneuerung stört und somit zur Entwicklung von Adenomen führt.
This study investigates the abundance and geographic distribution of the hawkmoth species (Lepidoptera: Sphingidae) of Southeast-Asia and analyses the resulting patterns of biodiversity, biogeography and macroecology. Data on the distribution of species were retrieved from published and unpublished faunal lists and museum collections (in close cooperation with the Natural History Museum, London). Over 34,500 records of the global distribution of the 380 species that occur in Southeast-Asia (including New Guinea and the Solomon Islands) were used for a GIS-supported estimate of distributional ranges, which can be accessed at http://www.sphingidae-sea.biozentrum.uni-wuerzburg.de, an Internet site that also provides pictures of the species and checklists for 114 islands of the Malesian region. The abundance of species in local assemblages was assessed from nightly collections at artificial light sources. Using a compilation of own samples as well as published and unpublished data from other sources, local abundance data on 93 sites were used for analysis, covering 159 species or 17,676 specimens.
Certain fatty acids and sphingoid bases found at mucosal surfaces are known to have antibacterial activity and are thought to play a more direct role in innate immunity against bacterial infections. Herein, we analysed the antibacterial activity of sphingolipids, including the sphingoid base sphingosine as well as short-chain C\(_{6}\) and long-chain C\(_{16}\)-ceramides and azido-functionalized ceramide analogs against pathogenic Neisseriae. Determination of the minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) demonstrated that short-chain ceramides and a ω-azido-functionalized C\(_{6}\)-ceramide were active against Neisseria meningitidis and N. gonorrhoeae, whereas they were inactive against Escherichia coli and Staphylococcus aureus. Kinetic assays showed that killing of N. meningitidis occurred within 2 h with ω–azido-C\(_{6}\)-ceramide at 1 X the MIC. Of note, at a bactericidal concentration, ω–azido-C\(_{6}\)-ceramide had no significant toxic effect on host cells. Moreover, lipid uptake and localization was studied by flow cytometry and confocal laser scanning microscopy (CLSM) and revealed a rapid uptake by bacteria within 5 min. CLSM and super-resolution fluorescence imaging by direct stochastic optical reconstruction microscopy demonstrated homogeneous distribution of ceramide analogs in the bacterial membrane. Taken together, these data demonstrate the potent bactericidal activity of sphingosine and synthetic short-chain ceramide analogs against pathogenic Neisseriae.
Stalk cell polar ion transport provide for bladder‐based salinity tolerance in Chenopodium quinoa
(2022)
Chenopodium quinoa uses epidermal bladder cells (EBCs) to sequester excess salt. Each EBC complex consists of a leaf epidermal cell, a stalk cell, and the bladder.
Under salt stress, sodium (Na\(^{+}\)), chloride (Cl\(^{−}\)), potassium (K\(^{+}\)) and various metabolites are shuttled from the leaf lamina to the bladders. Stalk cells operate as both a selectivity filter and a flux controller.
In line with the nature of a transfer cell, advanced transmission electron tomography, electrophysiology, and fluorescent tracer flux studies revealed the stalk cell’s polar organization and bladder‐directed solute flow.
RNA sequencing and cluster analysis revealed the gene expression profiles of the stalk cells. Among the stalk cell enriched genes, ion channels and carriers as well as sugar transporters were most pronounced. Based on their electrophysiological fingerprint and thermodynamic considerations, a model for stalk cell transcellular transport was derived.