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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.
Soil degradation can have an impact on the soil microbiota, but its specific effects on soil fungal communities are poorly understood. In this work, we studied the impact of soil degradation on the richness and diversity of communities of soil fungi, including three different degrees of degradation in Germany and Panama. Soil fungi were isolated monthly using the soil-sprinkling method for 8 months in Germany and 3 months in Panama, and characterized by morphological and molecular data. Soil physico-chemical properties were measured and correlated with the observed values of fungal diversity. We isolated a total of 71 fungal species, 47 from Germany, and 32 from Panama. Soil properties were not associated with fungal richness, diversity, or composition in soils, with the exception of soil compaction in Germany. The geographic location was a strong determinant of the soil fungal species composition although in both countries there was dominance by members of the orders Eurotiales and Hypocreales. In conclusion, the results of this work do not show any evident influence of soil degradation on communities of soil fungi in Germany or Panama.
Cardiovascular diseases are still regarded as the main cause of death in the modern world. However, the generic term "cardiovascular diseases" is not uniformly defined. It essentially describes diseases of the cardiovascular system and includes diseases such as hypertension, arteriosclerosis, myocardial infarctions, heart failure, coronary heart diseases, rheumatic heart diseases and heart valve defects. In addition to the well-known risk factors such as obesity, smoking, hypercholesterolemia and lack of exercise, age is a further risk factor that plays an important role in the development of cardiovascular diseases. As the modern societies age; this becomes an increasing problem.
But why does the prevalence of cardiovascular diseases increase with age? In gen-eral, age-dependent changes at the cellular level are assumed to be responsible for the pathological changes in the cardiac and vascular tissues. Important mechanisms such as autophagy, oxidative stress, mitochondrial dysfunctions, genomic instability, cellular senescence and disturbances in signaling pathways of growth factors play a decisive role. In old age, myocardial hypertrophy occurs, which results in cardiac wall thickening and an altered geometry of the ventricle. Chronic inflammations, paracrine and age-dependent cell-intrinsic factors further lead to activation of cardiac fibro-blasts with increase cell proliferation, collagen secretion and matrix cross-linking. The consequences are interstitial and perivascular fibrosis, which stiffen the heart and blood vessels. Oxidative stress and inflammations additionally attack the blood ves-sels and impair endothelial function, which is further aggravated by possible pre-existing conditions such as diabetes mellitus and hypertension.
In the past decades, the main focus has therefore been on researching these age-dependent changes in the hope of better understanding cardiovascular ageing and developing possible regenerative interventions. By studying the repair mechanisms of other organs such as the lungs and the bone marrow, the endothelium in particular showed a high regenerative capacity, which influences the proliferation and cell func-tion of the surrounding cells.
For a long time, the general opinion was that the endothelium is only the internal lin-ing of blood and lymphatic vessels, as well as the heart chambers, which as a single-layer barrier guarantees the integrity of the blood vessels. However, endothelial cells are very heterogeneous, depending on the type of blood vessel and the type of tis-sue they serve. In addition to their barrier function, endothelial cells also regulate the exchange of substances between blood and tissue, stimulate the formation of new blood vessels and re-model existing vascular networks. They are also able to re-structure the extracellular matrix that surrounds them. They release not only matrix proteins, but also cytokines and growth factors into the extracellular space. On de-mand, these factors are then released and stimulate angiogenesis or cell prolifera-tion. In addition, the secretion of various matrix proteins not only stabilizes the cellu-lar neighborhood, but also regulates various cell functions.
By modelling the endothelial environment - the so-called vascular niche - endothelial cells are able to communicate with the surrounding cells. As a result, a regenerative effect of the vascular niche has already been described in various organs. In the liv-er, for example, it has been shown that increased concentrations of endothelial Ang2 and decreased endothelial activin A after partial hepatectomy stimulate the prolifera-tion of hepatocytes and thus liver regeneration. In the bone marrow, endothelial cells mobilize stem cells via nitric oxide and in the lungs, endothelial MMP14 releases growth factors from the extracellular matrix, which stimulate epithelial cell prolifera-tion after partial pneumectomy. Whether such a regenerative effect of the vascular niche also plays a role in the heart is largely unknown.
Since both the regenerative capacity of the heart and endothelial function decrease with age, the aim of this dissertation was to investigate the role of the vascular niche and endothelial cell communication in the aged heart. Human cell lines as well as mouse and artificial rat models were used for these investigations. Since this thesis is a cumulative dissertation with partially published papers, it is divided into three parts.
In the first part of this thesis, the transcriptional signature of secretory genes in the aged cardiac endothelium was studied. Perfused endothelial cells from hearts of young (12-week-old animals) and old mice (20-month-old animals) were isolated and used for bulk RNA sequencing. The two matrix proteins laminin β1 and β2 were among the top-regulated genes. While laminin β2 was particularly expressed in the young cardiac endothelium, laminin β1 was predominantly found in the old endotheli-um. This change in laminin expression was confirmed histologically at protein level and its autocrine function was investigated in vitro. To mimic the in vivo situation in vitro, cell culture dishes were coated with human recombinant laminin 421 or laminin 411 and sutured with human endothelial cells from the umbilical vein (HUVEC). Di-verse functional investigations showed that endothelial cells migrated and adhered poorly in the presence of laminin 411, while in Matrigel tube formation assays HU-VEC formed reduced endothelial networks when cultured on LM 411.
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Biodiversity is threatened worldwide because of ongoing habitat loss and fragmentation, overexploitation, pollution, biological invasions and a changing global climate. Due to the major importance of biological diversity for modern human living, efficient conservation and management strategies are required to protect endangered habitats and species. For this purpose, ambitious multilateral agreements on regional and global scale were declared to prevent biodiversity loss.
Efficient biomonitoring methods are required to adequately implement these biodiversity conventions. Species monitoring as a core activity in biodiversity research is an effective tool to assess the status of species and trends within habitats. Data collection can be obtained with visual, electronic or genetic surveys. Still, these monitoring programs can be expensive, laborious and inefficient for accurate species assessments. New techniques based on environmental DNA (eDNA) allows for the detection of DNA traces in environmental samples (soil, sediment, water and air samples) and open up new possibilities for species monitoring. The eDNA methodology enables detection of single species in a qualitative (presence/absence) or (semi-) quantitative way. eDNA metabarcoding approaches can be an effective community structure assessment method.
This thesis, located at the interface between experimental and applied research, illustrates the suitability of the eDNA methodology in applied biomonitoring using the example of the water-borne crayfish plague pathogen Aphanomyces astaci (Schikora 1906). The obtained results provide new insights into A. astaci sporulation dynamics in natural water courses. A. astaci sporulation is influenced by seasonal variation of water temperatures and life history traits (molting, activity, mating) of infected crayfish. The results also imply a high transmission risk of A. astaci spores during the complete year. This thesis compares two eDNA methods, which are successfully and consistently detecting A. astaci spores. Each approach is suitable for different biomonitoring tasks due to the method-specific requirements. The obtained results also reveal spatial variation in A. astaci occurance in the tested water bodies. A. astaci spore estimates are positively correlated with population density and pathogen loads of captured A. astaci- positive crayfish. eDNA results show a downstream zoospore transport of up to three kilometres distance from a distribution hot spot area of A. astaci-infected crayfish. The eDNA methodology is helpful in gaining reliable information on A. astaci occurrence in large water bodies. This information is urgently needed to initiate efficient management decisions for the conservation of European crayfish species.
eDNA-based methods such as for A. astaci detection are a useful complement for conventional monitoring and should have a strong impact on conservation policy. eDNA methodology will be helpful for the practical implementation of the main aims of key conservation agreements and thus will make important contributions to biodiversity protection.
Autophagy, meaning “self-eating”, is an important cellular waste disposal mechanism. Thereby, damaged proteins, lipids and organelles are enclosed by autophagosomes and subsequently transported to the lysosomes for degradation into basic, cellular building blocks. Under basal conditions autophagy prevents the accumulation of defective and harmful material and generally promotes cell survival. However, several studies reported that hyperactivated autophagy, e.g. during developmental processes in lower eukaryotes, or during chemotherapeutic treatment of cancer cells, can also trigger cell death.
In recent years, autophagic cell death (ACD) has been considered as an alternative cell death pathway for tumor therapy, especially for solid tumors with high apoptosis resistance such as glioblastoma. Glioblastoma (GBM) is a very aggressive, malignant primary brain tumor with a median survival of ~ 15 months despite surgery and chemoradiotherapy. Accordingly, there is a great interest in improving GBM therapy through alternative cell death mechanisms. Interestingly, it has been shown that various substances, e.g. AT 101, cannabinoids and the combination of imipramine and ticlopidine (IM+TIC), induce ACD in GBM cells.
The aim of this project was to identify the underlying mechanisms of stress- and drug-induced ACD and its therapeutic potential for glioblastoma treatment. For detailed investigation of ACD, a CRISPR/Cas9-based approach was used to generate ATG5 and ATG7 knockouts as genetic models of autophagy deficiency. In a previous study of our lab it was demonstrated that administration of AT 101 triggers ACD in glioblastoma cells, which was associated with early mitochondrial fragmentation but no signs of apoptosis. Since mitochondrial fragmentation often precedes mitophagy, the first part of this thesis explored the potential role of mitophagy in AT 101-induced cell death.
ATG5-depleted cells confirmed that AT 101 induces ACD. In addition, treatment with AT 101 resulted in a pronounced mitochondrial depolarization, which was at least partly caused by the opening of the mitochondrial permeability pore. Global proteome analysis of AT 101-treated GBM cells revealed a robust decrease in mitochondrial protein clusters as well as a strong increase in the enzyme heme oxygenase-1 (HMOX1). Subsequent experiments for detailed investigation of mitophagy following AT 101 treatment (western blot, flow cytometric MTG and mt-mKeima, qRT-PCR of mitochondrial vs nuclear DNA) consistently indicated strong mitophagy induction by AT 101, which could be reduced by genetic or pharmacological inhibition of autophagy. Furthermore, siRNA-mediated knockdown experiments revealed that the selective mitophagy receptors BNIP3 and BNIP3L and the HMOX1 enzyme play an essential role in AT 101-induced mitophagy and subsequent cell death. Taken together, these data demonstrate that AT 101-induced mitochondrial dysfunction and HMOX1 induction synergize to promote excessive mitophagy with a lethal outcome in glioma cells.
The second part of this thesis focused on the identification of new substances that cause ACD and the investigation of the underlying cell death pathways. Using a cell death screen of the ENZO Screen-Well™ autophagy library in MZ-54 wild-type vs ATG5 and ATG7-depleted cells, loperamide, pimozide, and STF-62247 were identified as ACD-inducing agents. The increase of the autophagic flux and the induction of ACD by these substances was confirmed by using different ATG5 and ATG7 knockout cell lines and the already established positive control IM+TIC.
In contrast to AT 101, IM+TIC, STF-62247, loperamide and pimozide produced neither mitochondrial dysfunction nor mitophagy. Interestingly, it has been described that imipramine, loperamide and pimozide inhibit the lysosomal enzyme acid sphingomyelinase, which is associated with impaired lipid transport. Global proteome analysis and cholesterol staining confirmed that all four substances, but especially loperamide and pimozide, inhibit cellular lipid transport, leading to massive lipid accumulation in the lysosomes. In the further course of the experiments, the connection between defective lipid transport and autophagy was investigated in more detail. On the one hand, the defective lipid transport contributed to the induction of autophagy, on the other hand the massive accumulation of lipids led to lysosomal membrane damage, inhibition of lysosomal degradation at later time points and finally to a lysosomal cell death. Remarkably, it has been shown that hyperactivated autophagy by IM+TIC, loperamide and pimozide massively promotes lysosomal membrane damage. This result highlights the difficulties of a clear distinction between autophagic and lysosomal cell death.
In summary, two new signaling pathways that induce autophagic cell death in GBM cells and may be relevant for glioblastoma therapy were investigated in this study.
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.
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.
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.
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.
Frontal areas of the mammalian cortex are thought to be important for cognitive control and complex behaviour. These areas have been studied mostly in humans, non-human primates and rodents. In this article, we present a quantitative characterization of response properties of a frontal auditory area responsive to sound in the brain of Carollia perspicillata, the frontal auditory field (FAF). Bats are highly vocal animals, and they constitute an important experimental model for studying the auditory system. We combined electrophysiology experiments and computational simulations to compare the response properties of auditory neurons found in the bat FAF and auditory cortex (AC) to simple sounds (pure tones). Anatomical studies have shown that the latter provides feedforward inputs to the former. Our results show that bat FAF neurons are responsive to sounds, and however, when compared to AC neurons, they presented sparser, less precise spiking and longer-lasting responses. Based on the results of an integrate-and-fire neuronal model, we suggest that slow, subthreshold, synaptic dynamics can account for the activity pattern of neurons in the FAF. These properties reflect the general function of the frontal cortex and likely result from its connections with multiple brain regions, including cortico-cortical projections from the AC to the FAF.