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Light is one of the most important abiotic factors for plant physiological processes. In addition to light intensity, the spectral quality of light can also influence the plant morphology and the content of secondary metabolites. In the horticultural industry, artificial light is used in to enable year-round production of herbs, ornamental plants and vegetables in winter terms.
Until today, discharge lamps like high-pressure sodium (HPS) lamps, emitting predominantly orange and red light and high amounts of infrared radiation, are the most common lamp systems in greenhouses. In the last decades, light-emitting diodes (LEDs) emerged as an efficient alternative light source. LEDs have the advantage of distinct adjustments to the light spectrum. For a usage in horticultural industry LEDs are often too expensive. Furthermore, reduced plant growth can occur due to incorrectly adjusted light spectra and lower leaf temperatures caused by the lack of infrared radiation.
In a research project (LOEWE, funding no. 487/15-29) funded by the Hessen State Ministry of Higher Education, Research and Arts, Microwave plasma lamps (MPL) were tested as new light sources for horticultural industry and plant research. The electrodeless lamp systems emit light in similar properties like sun light. The aim of the study was to determine the influence of artificial sunlight of the MPL on the accumulation of secondary metabolites, plant architecture and plant physiology of three different species (coleus, basil and potted roses). The MPL was compared with other light systems such as commercial HPS lamps, LEDs or ceramic metal halide lamps (CDM). In addition to morphological parameters such as plant height, internode length or fresh and dry weight, the phenolic content of leaves grown under the respective light sources were examined.
Overall an increased far-red light content in the emission spectra of the MPL showed high influence on the plant architecture which was observed in all three plant species. Artificial sunlight from MPL induced stem elongation in coleus and basil plants, compared to the other tested light sources. In potted roses a reduced branching degree was observed under MPL light compared to HPS grown plants.
In addition to the impact of far-red light also the blue light content of the emission spectra was found to be a strong influencing factor for plant physiological processes. A positive correlation between blue light content and leaf thickness was determined in coleus cultivated under MPL, LED, HPS and CDM lamps. Low blue light content in HPS emission spectra resulted in shade-adapted leaves with low photosynthetic capacity and susceptibility to high irradiances. Blue light was assumed to increase phenolic metabolites in basil and rose leaves. Furthermore, the different light treatments resulted in an alteration of the composition of essential oils of basil.
Experiments with coleus plants demonstrated that besides light color also the infrared radiation, had an influence on secondary metabolites by causing different leaf temperatures. Coleus plants grown with MPL showed the lowest content of phenolic compounds such as rosmarinic acid per dry weight. Infrared radiation resulted in a faster plant development indicated by increased biomass production and higher leaf formation rate as observed in coleus and basil plants.
The results obtained in this study show that the influence of leaf temperature should always be considered when comparing different lamp systems. Especially when LEDs are compared to discharge lamps an overestimation of light color can be a consequence since also infrared radiation influences the content of phenolic compounds and plant growth.
The Culex pipiens complex encompasses five species and subspecies of the genus Culex. Over time, a multitude of morphologically indistinguishable species has been assigned to this complex with several species being classified as important vectors for different diseases. Some species of this complex hibernate in subterranean habitats, and it has been proven that viruses can survive this phase of hibernation. However, studies focusing on the environmental requirements, ecology and spatial and temporal distribution patterns of mosquitos in underground habitats are sparse. Here, we investigate the main environmental factors and dependencies of Culex, considering the number of individuals and survival probabilities in underground habitats during the winter months. Methods. Since the State of Hesse, Germany harbors about 3500 to 4000 subterranean shelters ample availability of subterranean habitats there provides a good opportunity to conduct detailed investigations of the Culex pipiens complex. In this study, we identified a sample of 727 specimens of overwintering females within the Culex pipiens complex from 52 different underground sites collected over a period of 23 years using qPCR. A complete data set of samplings of hibernating mosquitos from 698 subterranean habitats in Central Germany over the same period was available to study the spatial and temporal patterns and the effect of temperature and precipitation conditions on these hibernating populations using a generalized linear model (GLM). Results. Our qPCR-results show, similar to aboveground studies of mosquitos, that Culex pipiens pipiens and Culex torrentium occur sympatrically. On the other hand, Culex pipiens molestus occurred very rarely. The GLM revealed no shifts in species composition over time, but different preferences for subterranean hibernacula, chemical effects on overwintering populations as well as effects of annual and seasonal mean temperature and precipitation during the active phase from March to November. Cx. p. pipiens and Cx. torrentium are the most common species within Hessian caves and other underground habitats during winter. They co-occur with different frequency without any patterns in species composition. Weather conditions influence the number of overwintering mosquitos during the activity phase. Depending on cave parameters, the number of mosquitos decreases during the winter months.
Iron is part of many redox and other enzymes and, thus, it is essential for all living beings. Many oxic environments have extremely low concentrations of free iron. Therefore, many prokaryotic species evolved siderophores, i.e., small organic molecules that complex Fe3+ with very high affinity. Siderophores of bacteria are intensely studied, in contrast to those of archaea. The haloarchaeon Haloferax volcanii contains a gene cluster that putatively encodes siderophore biosynthesis genes, including four iron uptake chelate (iuc) genes. Underscoring this hypothesis, Northern blot analyses revealed that a hexacistronic transcript is generated that is highly induced under iron starvation. A quadruple iuc deletion mutant was generated, which had a growth defect solely at very low concentrations of Fe3+, not Fe2+. Two experimental approaches showed that the wild type produced and exported an Fe3+-specific siderophore under low iron concentrations, in contrast to the iuc deletion mutant. Bioinformatic analyses revealed that haloarchaea obtained the gene cluster by lateral transfer from bacteria and enabled the prediction of enzymatic functions of all six gene products. Notably, a biosynthetic pathway is proposed that starts with aspartic acid, uses several group donors and citrate, and leads to the hydroxamate siderophore Schizokinen.
The early-diverging oomycetes contain a large number of holocarpic obligate parasites of diatoms, algae, aquatic phycomycetes, and invertebrate animals. These organisms are diverse and widespread. However, taxonomic placement most of the early-diverging oomycetes remains provisional and unresolved, since many have not been sequenced and studied for molecular phylogeny. Here, we report the taxonomy and phylogeny of several holocarpic oomycetes that we have rediscovered and newly classified, including several new species combinations. Phylogenetic reconstructions revealed that the type species of genus Ectrogella (E. bacillariacearum) is a member of the early-diverging Saprolegniales, while the type species of Olpidiopsis (O. saprolegniae) and Pontisma (P. lagenidioides) grouped within the early-diverging lineage of oomycetes forming distinct clades. Since the monophyletic red-algae parasitoids are unrelated to the Olpidiopsis, these were reclassified to the genus Pontisma, while genus Diatomophthora was introduced to accommodate all the diatom parasitoids that were previously assigned to Olpidiopsis. In addition, four new oomycete parasitoids, Miracula helgolandica, Miracula moenusica, Diatomophthora drebesii and Olpidiopsis parthenogenetica and a single rediscovered species, Diatomophthora gillii, are also classified here, including eight new species combinations of red-algae parasites (Pontisma bostrychiae, P. heterosiphoniae, P. muelleri, P. palmariae, P. porphyrae, P. pyropiae) and diatom parasitoids (Diatomophthora drebesii, D. gillii). The results obtained in this study have further improved the resolution and expanded the knowledge on the phylogeny of the earlydiverging oomycetes, leading to the establishment of three new orders (Miraculales, Diatomophthorales, Pontismatales) and one order (Anisolpidiales) being reintroduced.
Alternative splicing (AS) is a co- or post-transcriptional process by which one gene gives rise to multiple isoforms. This ‘split and combine’ step multiplies eukaryotic proteome diversity several fold and is implicated in several diseases given its pervasive impact. Control of alternative splicing is brought about by cis-regulatory elements, such as RNA sequence and structure, which recruit trans-acting RNA-binding proteins (RBPs). Although several of these interactions are already described in detail, we lack a comprehensive understanding of the regulatory code that underlies a splicing decision.
Here, we have established a high-throughput screen to comprehensively identify and characterise cis-regulatory elements that control a specific splicing decision. A cancer-relevant splicing event in proto-oncogene RON was picked as a minigene prototype for initialising the screening approach. Then, we transfected a library of thousands of randomly mutagenised minigene variants as a pool into human cells, and subsequently quantified the spliced isoforms by RNA sequencing. Importantly, we used a barcode sequence to tag the minigene variants and thereby linked mutations to their corresponding spliced products. By using a linear regression-based modelling approach, we were able to determine the effects of single mutations on RON AS. In total, more than 700 mutations were found to significantly affect the splicing regulation of the RON alternative exon. In addition, mutation effects quantified from the screening approach correlate with RON alternative splicing in cancer patients. We discovered numerous previously unknown cis-regulatory elements in both introns and exons, and found that the RBP heterogeneous nuclear ribonucleoprotein H (HNRNPH) extensively regulates RON AS at multiple levels in both cell lines and cancer. Furthermore, the large number of RBPs involved in the process, point to a complex splicing regulatory network involved in the control of RON splicing. iCLIP and synergy analysis between mutations and HNRNPH knockdown data pinpointed the most relevant HNRNPH binding sites across RON. Finally, cooperative HNRNPH binding was shown to mediate a splicing switch of RON alternative exon. In summary, our results provide an unprecedented view on the complexity of splicing regulation of an alternative exon. The novel screening approach introduces a tool to study the relationship of RNA sequence variants along with trans-acting regulators to their impact on the splicing outcome, offering insights on alternative splicing regulation and the relevance of mutations in human disease.
The existence of all living organisms depends on their multidimensional adjustment to the conditions of the environment in which they live. Organisms must constantly deal with not only abiotic stress factors (such as water availability or extreme temperatures), but also with various biotic interactions (the competition between different organisms, both intraspecific and interspecies). When there is a consensus between an organism and the environment it means that this organism is well adjusted and increases its probability of survival.
Symbiotic organisms possess the ability to establish an intimate interaction with another species (symbiont) that provides benefits for survival. Organisms that are involved in obligate symbiosis may adapt to a new environment by switching to another symbiotic partner that is locally better adapted; or by reshuffling symbiont communities present in the holobiont. This ability potentially gives them the opportunity to flexibly react to changing environmental conditions.
In this thesis I studied the genetic diversity and geographic distribution of symbiont lineages in a lichen symbiosis to better understand environmental adaptation in symbiotic systems. Lichens are symbiotic associations of photobionts (one or several green-algal species or cyanobacteria), filamentous mycobionts (lichen-forming fungi) and co-inhabiting symbiotic microorganisms (lichen-associated bacteria, endolichenic fungi, and basidiomycete yeast). The coccoid green algae of the genus Trebouxia are the most common and the most studied lichen photobionts. However, the lack of formal Trebouxia taxonomy impedes our understanding of this photobiont diversity.
Different species of mycobionts may share the same photobionts and a single species of mycobiont may associate with multiple, genetically different photobionts. Interactions among symbionts are not random and are constrained by evolutionary and environmental processes. The ability to associate with specific symbiotic partner is considered as a lichen strategy to facilitate adaptation to the constantly changing environments.
The objectives of this thesis were to 1. Elucidate the intraspecific diversity of fungal and algal symbionts in the lichen Umbilicaria pustulata, given a range-wide (Europe-wide) sampling; 2. Evaluate species delimitation in trebouxioid photobionts based on molecular data, and 3. Quantify the climatic niches of photobiont lineages within U. pustulata, to establish whether the association with particular photobionts may modify the range and ecological niche of this lichen.
The main findings of this thesis are:
1. The genetic diversity within trebouxoid photobiont of U. pustulata is higher than within the mycobiont. The most variable photobiont loci are nrITS rDNA, psbJ-L, and COX2. RbcL is the least variable photobiont locus. The most variable mycobiont loci are MCM7 and TSR1. This study shows a lack of genetic variability in the mycobiont loci EF1, nrITS rDNA, RPB1, and RPB2.
2. U. pustulata shows a low level of selectivity and is associated with numerous (most likely six) putative algal species. All photobiont haplotypes found in U. pustulata are shared between other lichen-forming fungi species, showing different patterns of species-to-species and species-to-community interactions.
3. The geographic distribution of U. pustulata symbionts associations is strongly connected to changes in the climatic niches. The mycobiont-photobiont interactions change along latitudinal temperature gradients (cold-adapted hotspot) and in Mediterranean climate zones (warm-adapted hotspot). U. pustulata broadens its distribution range by switching between photobionts that posses specific environmental preferences.
Overall, this thesis contributes to the understanding of the symbiont diversity, fungal-algal association patterns and local adaptation linked to symbiont-mediated niche expansion in lichens. While identifying intraspecific diversity of both lichen symbionts is a key predisposition to understand symbiont interactions, population dynamics or co-evolution, my comparative study of the sequence-based molecular markers is relevant to reveal cryptic diversity in other lichen-forming fungi and their photobionts.
The determination of species boundaries in lichen symbionts is essential for the study of selectivity and specificity, co-distribution, and co-evolution. Whereas the phylogenetic relationships of Trebouxiophyceae are poorly understood, the application of a novel multifaceted approach based on phylogenetic relationships, coalescence methods and morphological traits presented in this thesis is a promising tool to address species boundaries within this heterogeneous genus.
This thesis provides evidence for symbiont-mediated niche expansion in lichens and highlights the preferential photobiont association from a niche-modeling perspective. My results shed light on symbiont polymorphism and partner switching as potential mechanisms of environmental adaptation in the lichen symbiosis. The spatial genetic pattern found in U. pustulata symbionts supports the concept of ecological fitting and is consistent with patterns found in other lichen studies. Results presented here relate also to findings in different symbiotic systems, like reef-building corals, where different latitudinal patterns and symbiont switching has been reported as an adaptive response to severe bleaching events. Furthermore, this study is timely in light of global warming, because the identification of interaction hotspots among symbionts helps to understand how lichens or other symbiotic organisms adjust to the ongoing climate change. This knowledge will, in turn, facilitate the proper conservation of the most vulnerable lichen populations. My doctoral thesis provides a conceptual framework for analyzing symbiont diversity, interaction patterns, and symbiont-mediated niche expansion that could be applied to other types of lichen species as well as other organisms involved in facultative or obligate symbiosis.
Downy mildew of common sage (Salvia officinalis), caused by Peronospora salviae-officinalis, has become a serious problem in sage production worldwide. The causal agent of the disease belongs to the Pe. belbahrii species complex and was described as a species of its own in 2009. Nevertheless, very little is known about its infection biology and epidemiology. The aims of the current study were therefore to unravel the life cycle of this downy mildew and gain deeper insights into the epidemiology of the disease, as well as to clarify the species boundaries in the Pe. belbahrii species complex.
Infection studies showed that temperatures between 15 and 20 °C were most favourable for infection and disease progress. At 5 °C Pe. salviae-officinalis is still able to infect sage plants, but sporulation was only observed at higher temperatures. Furthermore, Pe. salviae-officinalis needs two events of leaf wetness or high humidity, a first one of at least three hours for conidial germination and penetration of the host, and a second one for sporulation. Additionally, contamination of sage seeds by Pe. salviae-officinalis was proven by seed washing and by PCR and DNA sequence comparisons, suggesting that infested seeds might play a major role in the fast spread of sage downy mildew, which is an important finding for phytosanitary or quarantine measures.
A protocol for fluorescence staining and confocal laser scanning microscopy was established and the whole life cycle of Pe. salviae-officinalis was tracked including oospore formation. The method was also used to examine samples of Pe. lamii on Lamium purpureum and Pe. belbahrii on Ocimum basilicum demonstrating the usefulness of this method for studying the infection process of downy mildews in general.
Peronospora species parasitizing S. sclarea, S. pratensis, O. basilicum, and Plectranthus scutellarioides were studied using light microscopy and molecular phylogenetic analyses based on six loci (ITS rDNA, cox1, cox2, ef1a, hsp90 and β-tubulin). The downy mildew on S. pratensis was shown to be distinct from Pe. salviae-officinalis and closely related to Pe. glechomae, and is herein described as a new taxon, Peronospora salviae-pratensis. The downy mildew on S. sclarea was found to be caused by Peronospora salviae-officinalis. The multi-gene phylogeny revealed that the causal agent of downy mildew on coleus is distinct from Pe. belbahrii on basil, and is herein described as a new taxon, Pe. choii.
Durch natürliche Selektion werden Funktionen, die dem Überleben und dem Fortpflanzungserfolg eines Organismus dienen, optimiert. Da die Struktur eines Organs dessen Funktion und umgekehrt die Funktion eines Organs dessen Struktur bestimmt, kann durch das Studium der Morphologie die Funktionsweise von Organen verstanden werden. Trotz des umfangreichen Wissens über die Struktur von Nervensystemen sowohl auf mikro- als auch auf makroskopischer Ebene, ist es weiterhin unklar, wie Bewusstsein und ein kohärentes Abbild der Umwelt im Gehirn erzeugt werden. Der Grund hierfür ist vor allem die gewaltige Komplexität neuronaler Netzwerke, die unmöglich geistig erfasst werden können. Eine Möglichkeit, das Gehirn ohne das detaillierte Wissen über all seine Bestandteile zu verstehen, bietet das Studium von Optimierungsprinzipien und deren Anwendung in theoretischen Modellen. So wie eingangs erwähnt die Funktion von Organen durch natürliche Selektion optimiert wird, sollte auch die Funktion neuronaler Netzwerke optimiert werden und neuronale Netzwerke sollten entsprechend solcher Optimierungsprinzipien aufgebaut sein. Ein wichtiges Prinzip, das essenziell für die Effizienz neuronaler Netzwerke ist, ist die Minimierung der Verbindungslänge zwischen Neuronen. Basierend auf diesem Prinzip wurde im Rahmen dieser Dissertation eine algorithmische Methode etabliert, die es ermöglicht Vorhersagen der relativen Position von Neuronen anhand ihrer Verbindungen zu treffen. Diese neuronale Platzierungsmethode beruht darauf, dass Neuronen mit ähnlicher Verbindungsnachbarschaft näher zueinander platziert werden als zu Neuronen mit weniger ähnlichen Verbindungsnachbarn, wodurch die durchschnittliche Verbindungslänge minimiert wird. Nach der Etablierung dieser Methode, wurde diese benutzt um Modelle zu erstellen, die es ermöglichen die Entstehung neuronaler Karten und kortikaler Faltungen im Zusammenhang mit der Konnektivität und der Anzahl der Neuronen zu untersuchen.
Neuronale Karten sind geordnete Muster auf der Oberfläche des Kortex, die durch die präferierte Aktivität einzelner Neuronen in Antwort auf Stimuli einer Modalität beobachtet werden können. Im visuellen Kortex existieren sogar mehrere Karten, je nachdem welche Qualität visueller Stimuli man betrachtet. Abhängig von der Präferenz für einen Sehwinkel, ein stimuliertes Auge oder der Orientierung eines Balken-Stimulus, können retinotopische Karten, Karten mit streifenartigen Mustern oder Karten mit sogenannten „Pinwheel“-Strukturen beobachtet werden. Pinwheels sind periodische Strukturen, die sichtbar werden indem man die Orientierungspräferenz von Neuronen für die spezifische Orientierung eines Balken-Stimulus mit der entsprechenden Farbe des Farbkreises visualisiert. Da diese Strukturen eine Ähnlichkeit mit bunten Windrädern haben, werde sie als Pinwheels bezeichnet. Die in dieser Dissertation erstellten Modelle sagen vorher, dass die Entstehung strukturierter neuronaler Karten im Allgemeinen von der Anzahl der Neuronen abhängt. In der Tat könnte diese Abhängigkeit auch für neuronale Karten im Kortex gelten. Während strukturierte Karten im visuellen Kortex in verschiedenen Säugerordnungen wie Primaten, Karnivoren und Huftieren existieren, sind sie in kleinen Nagern mit weniger Neuronen nicht vorhanden, trotz ähnlicher Verbindungsspezifizität. Folglich müssen Unterschiede in der Struktur neuronaler Karten im Kortex nicht zwangsläufig mit einer unterschiedlichen Funktionsweise zusammenhängen, sondern könnten auch durch allgemeine Optimierungsprinzipien beim Aufbau neuronaler Netzwerke bedingt werden. Eine weitere Gemeinsamkeit zwischen verschiedenen Säugetierordnungen ist, dass die relative Dichte der Pinwheels ziemlich genau bei der Zahl Pi liegt. Entsprechend der Ergebnisse dieser Dissertation könnte dies dadurch erklärt werden, dass für neuronale Karten ähnlicher Struktur die Anzahl der Neuronen pro Pinwheel relativ konstant ist. Unterschiede in der räumlichen Dichte der Pinwheels könnten dann einfach durch Unterschiede in der Dichte der Neuronen erklärt werden.
Neben den Modellen für neuronale Karten wurde im Rahmen dieser Dissertation auch ein Modell kortikaler Faltungen mit derselben neuronalen Platzierungsmethode erstellt. Die Existenz kortikaler Faltungen wird gemeinhin damit erklärt, dass der Kortex ohne Faltungen wegen seiner verhältnismäßig großen Oberfläche nicht in den Schädel gepackt werden könnte. Allerdings haben Experimente gezeigt, dass die Faltungen nicht durch eine Restriktion des wachsenden Kortex an der Schädeloberfläche entstehen, da auch mit mehr Platz für die Expansion des Kortex die gleichen Faltungsmuster exprimiert werden. Interessanterweise entstehen die kortikalen Faltungen erst, wenn die Proliferation der Neuronen während der Entwicklung größtenteils abgeschlossen ist und die Neuronen anfangen ihre Verbindungen auszubilden. Um kortikale Faltungen basierend auf der Konnektivität zwischen Neuronen im Modell vorherzusagen, genügt es das allgemeine Muster einer starken lokalen, aber schwachen globalen Konnektivität zwischen Neuronen nachzubilden. Abhängig von Variationen dieser Konnektivität, der Anzahl der kortikalen Kolumnen und der Neuronenanzahl innerhalb dieser Kolumnen, können im Modell viele Eigenschaften kortikaler Faltungsmuster in Säugetieren vorhergesagt werden. Ähnlich wie in Säugetieren ist der Faltungsgrad der vom Modell vorhergesagt wird von dem Verhältnis zwischen Parametern, die die Größe und Dicke des Kortex beschreiben, abhängig. Dementsprechend werden mehr und mehr Faltungen mit steigender Anzahl der Kolumnen, aber gleicher Anzahl von Neuronen pro Kolumne vorhergesagt. Wie in Säugetieren entstehen dabei auch die größeren primären Faltungen zuerst bevor es innerhalb der größeren Faltungen zu kleineren Faltungen höherer Ordnung kommt. Neben der Abhängigkeit des Faltungsgrads von der Größe des Kortex können Variationen in der Konnektivität erklären, wie es einerseits zu stereotypischen Faltungsmustern kommen kann, aber andererseits auch warum der Faltungsgrad zwischen verschiedenen Säugerordnungen unterschiedlich mit der Größe des Kortex skaliert. Letztlich könnten pathologische Veränderungen der Konnektivität zu den entsprechenden Änderungen im Faltungsmuster führen.
Insgesamt wurde in dieser Arbeit gezeigt, dass mittels einfacher Prinzipien, die die Verbindung zwischen Neuronen und deren relative Position zueinander beschreiben, komplexe neuroanatomische Strukturen vorhergesagt werden können. Da mit derselben Methode zur neuronalen Platzierung sowohl neuronale Karten als auch kortikalen Faltungen, also sehr unterschiedliche Strukturen vorhergesagt werden konnten, stellt sich die Frage, ob diese Strukturen durch einen gemeinsamen biologischen Mechanismus entstehen. Neuronale Zugkräfte sind ein möglicher Mechanismus, der die Entstehung kortikaler Faltungen erklären könnte. Auch wenn es eher unwahrscheinlich ist, dass die Entstehung neuronaler Karten von Zugkräften zwischen Neuronen abhängt, kann es nicht vollständig ausgeschlossen werden. Ob solche Kräfte an der Selbstorganisation neuronaler Netzwerke beteiligt sein könnten, ist eine interessante Fragestellung für zukünftige empirische Studien.
Humans and other primates are highly visual animals. Our daily visual activities such as recognizing familiar faces, interacting with objects, or reading, are supported by an extensive system of interacting brain areas. The interactions between the many individual nerve cells both within and between brain areas need to be coordinated. One possible solution to achieve flexible coordination between cells in the network is rhythmic activity, or oscillations. The focus of the thesis will be activity in the largest visual area, V1, in non-human primates. In V1, high-frequency activity, so-called gamma-band activity (“gamma”, ca. 30-90 Hz) can be frequently observed and has been suggested to play a role in coordinating activity in the visual system. In Chapter 1, the coordination problem, the primate visual system and gamma-band oscillations are introduced in detail. The following chapters explore the dependence of gamma on contextual influences. Does V1 use contextual information to optimize co-ordination? In the first part, the short-term consequences of repeated encounters with visual stimuli on V1 responses are explored (Chapters 2 and 3). Inspired by results from colored, naturalistic images in the first part, the second part tests the dependence of gamma on spatial and chromatic stimulus aspects (Chapters 4 and 5).
Stimulus repetition is a simple yet powerful way to tap into our brains’ ability to learn and adapt to our environment. Repeated presentation of a visual stimulus tends to decrease responses to this stimulus. Is this accompanied by changes in the coordination of brain activity? In Chapter 2, the stimulus-specificity of repetition effects on gamma was tested using naturalistic stimuli. V1 is most typically studied using black-and-white, artificial stimuli that are very familiar to the animals. Here, colored natural images were repeatedly presented that were initially novel to the animals, to provide a wider and more naturalistic range of stimulation. Both multi-unit spiking activity (MUA) and gamma showed stimulus-specific repetition effects. MUA responses de-creased most strongly for initial repetitions and less for later repetitions. In contrast, gamma could increase or decrease for initial repetitions, but tended to increase for later repetitions. This points to the operation of multiple plasticity mechanisms. One process may rapidly decrease MUA and gamma and be related to initial novelty or adaptation. The other increases gamma, is active for more repetitions, and could constitute a form of refinement of coordination over time. Moreover, based on the spacing of stimulus repetitions, stimulus memory in V1 persisted for tens of seconds.
In the following Chapter 3, the stimulus location specificity and persistence of the repetition effects for longer timescales were tested. To this end, the observation that the increase in gamma with repetition was strongest for the first tens of repetitions was used to test for location specificity and memory. Using simple artificial stimuli that were repeated many times at two alternating locations, both location specificity and memory on the order of minutes was observed. Due to the structure of the primate visual system, location specificity suggests that the repetition effects involve early to mid-level visual areas such as V1. Memory for previous stimulus presentations on the order of minutes has not been previously reported for V1 gamma. Taken together, these experiments demonstrate short-term plasticity of gamma that is stimulus- and location specific and persists on the timescale of minutes.
In Chapter 2, the average gamma-band response to the large, naturalistic stimuli was highly stimulus dependent. Relative increases in gamma-band activity scaled between tens and thousands of percent change depending on the stimulus. Particularly the color of the stimuli appeared to play a strong role, although the stimulus set was too limited and uncontrolled to draw strong conclusions. In Chapters 4 and 5, underlying mechanisms for the stimulus specificity of gamma were explored using more well-controlled, artificial stimuli that varied in color and spatial structure.
Much of vision relies on the analysis of spatial structure. Each nerve cell in V1 only responds to visual stimuli in a particular, small part of the visual field, its so-called “receptive field” (RF). Compared to isolated RF stimulation, nearby cells that are stimulated by a similar structure from different parts of visual space can show response decreases, commonly known as “surround suppression”, and may show coordinated activity in the gamma band. In Chapter 3, responses to large, uniformly colored disks are contrasted with responses to black or white (achromatic) disks. A first experiment showed that gamma-band responses were stronger for colored than achromatic stimuli, whereas MUA responses could decrease below baseline for colored stimuli. To test whether these phenomena were related to surround suppression, stimulus size was manipulated in a second experiment. When stimuli were of sufficient size to induce surround suppression, clear gamma-band responses emerged. Surround suppression and gamma were stronger for chromatic stimuli. However, the change of stimulus size could have changed not only surround suppression but also stimulus saliency. Therefore, in a third experiment, the overall size of the stimulus was kept constant, and the spatial structure of the stimulus was manipulated. In comparison to uniform, predictable stimulus structure, mismatches between the center of the stimulus and the surrounding visual space led to strong increases in MUA responses and strong de-creases in gamma-band activity. These effects were restricted to the recording sites with RFs at the mismatch location. These experiments underpin the strong role of both spatial structure and color for gamma in V1.
In Chapter 4, responses to different color hues are studied in more detail. Gamma response strength depended on hue, being strongest for red compared to blue and green stimuli when measured with a gray background. To better understand the underlying mechanisms of the differential responses, the spatio-temporal context in the form of the background color was manipulated. Background color had a strong influence on gamma strength. Using differently colored backgrounds, different parts of the color signaling pathways could be adapted. Response differences to different color hues could be explained well with a model that incorporates differences in adaptation between pathways involving long- compared to medium-wavelength cone signals.
Taken together, these experiments indicate a strong role of both spatial context (stimulus size and structure) and temporal context and drive (repetition, adaptation) for the generation of gamma-band activity in V1. Functional implications of these dependencies are considered in the final Chapter 6, and a role for gamma-band syn-chronization in a coding regime for visual inputs that generate strong drive and high predictability is suggested.
Cerebellar ataxias are a group of neurodegenerative disorders primarily affecting the cerebellum. Although causative mutations in several genes have been identified there is currently no cure for ataxias.
The first part of this dissertation is focused on Spinocerebellar ataxia type 2 (SCA2). SCA2 is a dominant ataxia caused by repeat expansion mutations in the ATXN2 gene, which encodes the protein Ataxin2 (ATXN2). A polyglutamine (polyQ) tract consisting of CAG repeats interrupted by CAA was identified at exon 1 of ATXN2. Healthy individuals have between 22 and 23 glutamines, while expansions longer than 33 CAG repeats cause SCA2. The most noticeable symptom that SCA2 patients show is ataxic gait; however, they also show cerebellar dysarthria, dysdiadochokinesia, and ocular dysmetria caused by the progressive cerebellar degeneration.
To model the SCA2 disease, we generated a new mouse model where 100 CAG repeats were introduced in the mouse Atxn2 gene via homologous recombination. The characterization of this mouse model, Atxn2-CAG100-KIN, demonstrated that it reproduces the symptomatology observed in SCA2 patients. These animals showed significant loss of weight over time, brain atrophy, and motor deficits.
In addition, ATXN2 intermediate expansions have been linked to the pathology of Amyotrophic lateral sclerosis (ALS) as a risk factor. ALS is a fatal neurodegenerative disease where the motor neurons in the brain and spinal cord degenerate. A hallmark of ALS is the presence of TDP43-positive inclusions in neurons and glia. Further studies of post mortem spinal cord samples from SCA2 patients showed severe and widespread neurodegeneration of the central somatosensory system. Therefore, it was of interest to further investigate the pathology affection of this tissue in the Atxn2-CAG100-KIN line and the relationship between ATXN2 and TDP43. The characterization of the spinal cord pathology via protein quantification, transcript quantification, and immunohistochemistry showed a preferential affection of RNA binding proteins (RBP) in the spinal cord rather than the cerebellum. The ALS-linked factors TDP43 and TIA1 showed time-dependent co-aggregation with ATXN2 in spinal cord sections together with an increase of CASP3 levels. Therefore, this mouse model can help develop new therapies and evaluate their effect in differently affected areas.
A transcriptome data set from Atxn2-CAG100-KIN spinal cord samples at the final disease stage of this mouse model showed a strong up-regulation of RNA toxicity-, immune- and lysosome-implicated factors. These data pointed to a pathological reactivation of the synaptic pruning and phagocytosis in microglia. ATXN2-positive aggregates were found in microglia from spinal cord sections of 14-month-old Atxn2-CAG100-KIN via immunohistochemistry. The characterization of microglial response and the potentially deleterious effects of the expanded ATXN2 in this cell type could lead to therapies to improve patients’ living standards or delay the symptoms’ onset.
The second part of this thesis was focused on an autosomal recessive form of cerebellar ataxia, Ataxia Telangiectasia (A-T), with childhood onset. A-T patients show severe cerebellar atrophy manifesting as ataxia when the child starts to walk. The genetic cause of A-T is loss-of-function-mutations in the Ataxia Telangiectasia Mutated gene (ATM). ATM is a kinase involved in DNA damage response, oxidative stress, insulin resistance, autophagy via mTOR signaling, and synaptic function.
Working with proteome data from cerebrospinal fluid of 12 A-T patients and 12 healthy controls, we aimed to define novel biomarkers that would allow following the neurodegeneration in extracellular fluid. Additional validation efforts with ~2-month-old Atm-knock-out (Atm-/-) cerebellar samples helped us to define a scenario were the deficit of vesicle-associated ATM alters the secretion of ApoB, reelin, and glutamate. As extracellular factors, apolipoproteins and their cargo such as vitamin E may be useful for neuroprotective interventions.