Biologische Hochschulschriften (Goethe-Universität)
Refine
Year of publication
- 2019 (21) (remove)
Document Type
- Doctoral Thesis (21) (remove)
Language
- English (21) (remove)
Has Fulltext
- yes (21)
Is part of the Bibliography
- no (21)
Keywords
- ADAM15 (1)
- Aphanomyces astaci (1)
- Apoptosis (1)
- Calmodulin (1)
- Rheumatoid Arthritis (1)
- Synovial Fibroblast (1)
- Truffle (1)
- V1 (1)
- aroma (1)
- color (1)
Institute
This work deals with the characterization of three different type II polyketide synthase systems (PKS II) from the Gram-negative bacteria Xenorhabdus and Photorhabdus.
Particular attention was paid to a biochemically underexplored class of aryl polyene (APE) pigments. Bioinformatic analysis of enzymes involved in the biosynthesis and the in vitro reconstruction proved that the synthesis of APEs involves an unusual fatty acid-like elongation mechanism. Furthermore, the discovery of unexpected protein-protein interactions provided new insights into the multienzyme complex formation of this unusual PKS II system. Through collaboration with the groups from Prof. Michael Groll and junior Prof. Nina Morgner, two protein complexes were structurally solved and several native protein multimerization events were identified and allowed us to suggest a possible protein-interaction network. The results are summarized in publication ‘An Uncommon Type II PKS Catalyzes Biosynthesis of Aryl Polyene Pigments’ (first author; J. Am. Chem. Soc.).
In addition to in vitro-analysis, in vivo-studies were used to investigate the APE compound produced by X. doucetiae in more detail. The activation of the silent biosynthetic gene cluster (BGC) led to the detection of the APE compound in the homologous host. Further combination of homologous expression and targeted deletions of the APE BGC revealed an APE-lipid-like structure. MS-based analyses and purification of intermediates allowed us to deduce structural building blocks of the APE-lipid, which is composed of an APE structural core, a glucosamine residue and an unusual long-chain fatty acid with unusual conjugated double bonds and a phosphoethanolamine head group. In combination with the above stated in vitro-data, we assumed a plausible biosynthetic mechanism of the APE-lipid. The results are summarized in the section ‘Additional Results: Tracing the Full-length APE’.
The biosynthesis of isopropylstilbene (IPS) has already been well-studied by the Bode laboratory and the group of Prof. Ikuro Abe. Studies with Photorhabdus laumondii TT01 by the Bode group revealed the distributed locations and functions of the genes involved in biosynthesis, which originate from two pathways. Particularly, the Bode group first demonstrated that an unusual ketosynthase/cyclase (StlD) catalyzes the condensation of 5-phenyl-2,4-pentadienoyl-ACP and isovaleryl-beta-ketoacyl-ACP via a Michael addition. Such a pathway for stilbene formation is distinct from those widespread in plants. The Abe group solved the structure and biochemical mechanism of StlD and further investigated the aromatization reaction of the aromatase StlC. However, the generation of the required cinnamoyl-precursor 5-phenyl-2,4-pentadienoyl-ACP as a Michael acceptor for this cyclization reaction remained elusive. In this work, we were able to reconstitute the synthesis of the Michael acceptor in vitro, by the action of enzymes from the fatty acid biosynthesis. With the knowledge about the crucial cross-talk from primary and specialized metabolism, we further determined the minimal endowment for stilbene production in a heterologous host. Here, the discovered AasS enzyme StlB is responsible for the generation of cinnamoyl-ACP and among others, plFabH plays a key role as gatekeeper enzyme for further processing. With this information in hand, we were able to obtain IPS production in E. coli. These results are presented in the manuscript ‘Biosynthesis of the Multifunctional Isopropylstilbene in Photorhabdus laumondii Involves Cross-talk Between Specialized and Primary Metabolism’ (co-first author, manuscript).
The biosynthesis of the orange-to-red-pigmented anthraquinones (AQs) is the best-studied type II PKS system according to preliminary results. While several investigations by Brachmann et al. discovered the BGC and the overall product spectrum of the main AQ-256 and its methylated derivatives, data of Quiqin Zhou (Bode group) performed biochemical in vitro analysis paired with in vivo heterologous expression of the ant-genes antA-I. This led to the identification of shunt products that indicated an AQ-scaffold derived from an octaketide intermediate that gets shortened to a heptaketide by the hydrolase AntI, resulting in the main anthraquinone AQ-256. This PKS-shortening mechanism was further confirmed by the protein crystal structure of AntI by the Groll group (publication, minor contributions, co-author, Chem Sci. ‘Molecular Mechanism of Polyketide Shortening in Anthraquinone Biosynthesis of Photorhabdus luminescens’). Further substrate analysis of the P. luminescens AQ-producer and mutants revealed an inhibitory effect of cinnamic acid against the hydrolase AntI. Cinnamic acid might therefore be involved in regulation of AQ biosynthesis (‘Anthraquinone Production is Influenced by Cinnamic Acid’, first author, manuscript).
Biochemical analysis from Quiqin Zhou with the minimal PKS of the AQ-synthase further revealed the exclusive activation of the AQ-ACP by the PPTase AntB. The PPTase is insoluble alone but gets stabilized by the CoA-ligase, most likely inactive, working as a chaperone. Thus, the minimal PKS endowment to produce the octaketide scaffold compromises, besides the ACP, the KS:CLF heterodimer and the MCAT, the co-occurrence of the PPTase AntB and the CoA-ligase AntG. For the first time, X-ray crystallography depicted a minimal PKS in action, by obtaining the structural data of native complexes from an ACP:KS:CLF, the KS:CLF alone and an ACP:MCAT in their non-active and active forms. It was possible to confirm a KS-bound hexaketide, which was built upon heterologous expression of the KS:CLF. Mutagenesis with amino-acids proposed to be involved in protein-protein interactions in the ACP:KS:CLF complex revealed some interesting protein-interaction sites. Additionally, an induced-fit mechanism of the MCAT with the ACP during the malonylation reaction confirmed a monodirectional transfer reaction (‘Structural Snapshots of the Minimal PKS System Responsible for Octaketide Biosynthesis’ co-author, manuscript under review).
Hypoxia is a condition in which cells are deprived of adequate oxygen supply and represents a main feature of solid tumours. Cells under hypoxic stress activate transcriptional responses driven by hypoxia-inducible factors (HIFs), which affect multiple cellular pathways, including angiogenesis, metabolic adaptation and cell proliferation. While the transcriptional changes induced in hypoxic tumours are well characterised, it is still poorly understood how hypoxia contributes to the aberrant post-transcriptional regulation observed in tumours. In this PhD thesis, I studied the RNA response to hypoxia in cancer, to provide novel insights into its regulation.
Using deep RNA-Sequencing (RNA-Seq), I investigated transcriptome changes of three human cell lines from lung, cervical and breast cancer under hypoxia, advancing our knowledge of post-transcriptional gene regulation in hypoxic cancer. I show that hypoxia induced consistent changes in transcript abundance in the three cancer types. This was coupled to divergent splicing responses, highlighting the cell type specificity of alternative splicing programs. While the mRNA levels of RNA-binding proteins were mainly reduced, hypoxia upregulated muscleblind-like protein 2 (MBNL2) in all three cell lines. Hypoxia control was specific for MBNL2, since it did not affect its paralogs MBNL1 and MBNL3. Via knockdown experiments of MBNL2 in hypoxic cells, I could show that MBNL2 induction promotes adaptation of cancer cells to low oxygen by regulating both transcript abundance and alternative splicing of hypoxia response genes. In addition, depletion of MBNL2 reduced the proliferation and migration of cancer cells, corroborating a function of MBNL2 as cancer driver.
In the last few years, a novel class of RNAs has gained attention, namely circular RNAs (circRNAs), which are produced by a particular splicing mechanism, known as back-splicing. CircRNAs have been reported to change their abundance in cancer and their high stability makes them promising candidates as diagnostic biomarkers. In this study, I took advantage of deep rRNA-depleted RNA-Seq data to comprehensively investigate the expression of circRNAs in human cancer cells and their changes in response to hypoxia. To reliably identify circRNAs, I established a pipeline that integrates two available tools. for circRNA detection with custom approaches for quantification and statistical analysis. Using this pipeline, I identified 12006 circRNAs in the three cancer cell lines. Their molecular features suggest an involvement of complementary RNA sequences as well as trans-acting factors in circRNA biogenesis, including the splicing factor HNRNPC. Remarkably, I detected 210 circRNAs that are more abundant than their linear counterparts. Upon hypoxic stress, 64 circRNAs were differentially expressed in cancer cells, in most cases in a cell type-specific manner. In summary, in this PhD thesis, I present a comparative transcriptome profiling in human cancer cell lines. It reveals MBNL2 as an important player in hypoxic cancer progression and provides novel insights into the biogenesis and regulation of circRNAs under hypoxic stress.
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.
...
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.
In the light of emerging resistances against common drugs, new drug leads are required. In the past natural sources have been more yielding in this respect than synthetic strategies. Fungi synthesize many natural products with biological activities and pharmacological relevance. However, only a fraction of the estimated fungal diversity has been evaluated for biological activity, and much of the Fungi’s natural chemical diversity awaits discovery. Especially promising in this context are lichenized fungi. Lichens are well known for their particularly rich and characteristic secondary chemistry which allows them to withstand intense UV radiation, protects them against herbivory, and prevents them from being overgrown. The slow growth rates of lichens and difficulties and infeasibility of large scale cultivations in the laboratory render lichens inaccessible for applied purposes. These experimental challenges have led to a poor understanding of the molecular mechanisms underlying the biosynthesis of characteristic lichen secondary metabolites. The recent development of improved sequencing techniques has enabled new strategies to address multi-species assemblages directly through metagenome sequencing and survey their biosynthetic potential through genome mining. However, whole genome sequencing of entire lichen thalli to metagenomically assess the lichen-forming fungus without the need of cultivation has not been evaluated for lichens before. This approach will enable the reconstruction of fungal genomes from mixed DNA from lichen thalli and allow the exploration of biosynthetic gene content.
My thesis was conducted in two parts: a methodological evaluation of a metagenomic strategy to reconstruct genomes and gene sets of lichen-forming fungi, and the exploration of biosynthetic gene content with the help of comparative genomics and phylogenetics. For the first part, I evaluated the quality of metagenome-derived genome assemblies and gene sets by direct comparison to culture-derived reference assemblies and gene sets of the same species. I showed that metagenome-derived fungal assemblies are comparable to culture-derived references genomes and have a similar total genome size and fungal genome completeness. The quality of assemblies was affected strongly by the choice of assembler, but not by the method of taxonomic assignment or inference of non-mycobiont DNA sequences. The fungal gene space is well covered in metagenome-derived and culture-derived fungal gene sets and overlaps to 88-90 %. Finally, the metagenome-derived assemblies reliably recover gene families of secondary metabolism. This shows the suitability of metagenomically derived genomes for mining biosynthetic genes, and potentially also other gene families. Overall, the method validation showed a high similarity between metagenome- and culture-derived genome assemblies.
For the second part of my thesis, I explored the biosynthetic gene content in two different systems: Between two sister-species with different ecological requirements but similar chemical profile, and between two species which are metabolite-rich and economically relevant in the perfume industry. I compared the diversity of biosynthetic gene clusters between the species and in the broader context of other lichenized and non-lichenized fungi. Overall, the whole genome mining revealed a large number of uncharacterised secondary metabolite gene clusters in fifteen genomes of lichen-forming fungi compared to other fungal classes. Their number highly outweighs the number of known synthesized metabolites and highlights the hidden biosynthetic potential in lichen-forming fungi. Many biosynthetic gene clusters in the ecological distinct sister-species showed a high homology in accordance with the high synteny in gene content and order in both genomes. These clusters represent ideal candidates for secondary metabolites synthesized by both species, while the remaining clusters may encode for metabolites relevant for the different ecological requirements of both species. The metabolite-rich species used in the perfume industry showed a particularly high number of biosynthetic gene clusters. An in-depth characterization of architecture and gene content of homologous gene clusters together with hints from phylogenetic relatedness to functional characterized metabolites provides promising insights into the biosynthetic gene content of these lichen-forming fungi.
In conclusion, I showed that metagenome sequencing of natural lichen thalli is a feasible approach to reconstruct the fungal mycobiont genome of lichens and circumvent time-consuming and in some cases impossible cultivation of individuals. The genome mining for secondary metabolite gene clusters in lichen-forming fungi revealed a high biosynthetic potential for the discovery of new natural products. One of the focal species, Evernia prunastri, contained the highest ever reported number (80) of biosynthetic clusters in lichenized fungi. The comprehensive cluster characterizations through annotation, comparative mapping and phylogenetics provide first valuable hints for linking metabolites to genes in these lichen-forming fungi. My results pave the way for biotechnological strategies to unlock the vast richness of natural products from lichens for applied purposes.
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.
The endosteal bone marrow niche and vascular endothelial cells provide sanctuaries to leukemic cells. In murine chronic myeloid leukemia (CML) CD44 on leukemia cells and E-selectin on bone marrow endothelium are essential mediators for the engraftment of leukemic stem cells (LSC). We hypothesized that non-adhesion of CML-initiating cells to E-selectin on the bone marrow endothelium may lead to superior eradication of LSC in CML after treatment with imatinib than imatinib alone. Indeed, here we show that treatment with the E-selectin inhibitor GMI-1271 in combination with imatinib prolongs survival of mice with CML via decreased contact time of leukemia cells with bone marrow endothelium. Non-adhesion of BCR-ABL1+ cells leads to an increase of cell cycle progression and an increase of expression of the hematopoietic transcription factor and protooncogene Scl/Tal1 in leukemia-initiating cells (LIC). We implicate SCL/TAL1 as indirect phosphorylation target of BCR-ABL1 and as a negative transcriptional regulator of CD44 expression. We show that increased SCL/TAL1 expression is associated with improved outcome in human CML. These data demonstrate the BCR-ABL1-specific, cell-intrinsic pathways leading to altered interactions with the vascular niche via the modulation of adhesion molecules - a strategy therapeutically exploitable in future.
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.
Antagonistic and mutualistic species interactions provide important ecosystem functions affecting plant population dynamics and distribution. Many of these functions are important for the regeneration of plants, either by limiting or facilitating successful transition between life stages. Interactions can occur across the whole geographical range of a species and thereby encompass different environmental gradients, such as changes in temperature or water availability. Understanding the joint effects of species interactions and environmental factors on the regeneration of plants is key for understanding plant population dynamics under global change and could provide important recommendations for managing and conservation efforts.
My thesis aimed at advancing the knowledge of how species interactions depend on environmental conditions and jointly affect plant recruitment along the elevational distribution of plants. This thesis includes three chapters in which I studied the effects of animal seed deposition, seed predation, mycorrhizal and pathogenic fungi occurrences as well as abiotic and biotic environmental factors on the recruitment of Swiss stone pine (Pinus cembra). I conducted fieldwork in the Swiss Alps across the entire elevational distribution of the pine (1850 – 2250 m a.s.l). Over a period of three years, I recorded animal seed deposition by spotted nutcrackers (Nucifraga caryocatactes) and conducted seed translocation experiments. Further, I assessed fungal communities using DNA metabarcoding. I measured abiotic environmental factors such as temperature, water and light availability, pH, as well as biotic environmental factors such as distance to conspecific adults and ground vegetation cover. In my thesis, I used a broad range of community ecology approaches, from seed dispersal ecology to experimental plant ecology and microbial ecology.
First, I investigated the effects of environmental factors on four recruitment processes (i.e. seed deposition, seed predation, seed germination, seedling survival) of Swiss stone pine. Further, I aimed at identifying the most important recruitment processes potentially limiting pine regeneration across its elevational range. To investigate pine recruitment, I firstly tested how seed deposition, seed predation, seed germination and seedling survival were affected by the microhabitat characteristics ultimately determining where a seed arrives in the environment (i.e. canopy cover & ground vegetation cover). Secondly, I applied a sensitivity analysis to investigate which of the four recruitment processes poses limitation to the pines’ regeneration across its range. My results reveal that the importance of particular recruitment processes varies along the pines’ elevational range. I found that at the lower range margin and the distribution centre seed germination and seedling survival were the main limiting factors, whereas animal-mediated seed dispersal became especially important at the upper range margin. My study contributes to the field with a new approach for disentangling the relative importance of recruitment processes across environmental gradients and thereby could help to project how plant recruitment might respond to future changes in environmental conditions.
The second aim of my study was to investigate how abiotic and biotic environmental factors affect the occurrence of Swiss stone pine-associated pathogenic and mutualistic fungi by combining field measurements of environmental factors with a DNA metabarcoding approach. I identified potentially important fungal interaction partners of the pine and determined drivers shaping their occurrences. My results reveal that generalist fungi were not affected by abiotic and biotic environmental factors. However, specialist pathogens showed patterns according to the Janzen-Connell framework (i.e. accumulation of pathogen close to adult plants). Interestingly, I found evidence for an “inverse” Janzen-Connell effect, i.e. high abundance of a specialist mutualist close to adult plants, potentially mitigating effects of soil pathogens close to parent trees. Further, I found that pine-associated fungi are distributed widely within and beyond the range of their host plant, adding knowledge on how mutualisms and antagonisms might be affected when plants move their distributional range upwards.
Finally, I investigated how known and unknown plant-associated fungi affect the regeneration of Swiss stone pine in an environmental context. My results suggest that seedling establishment was most strongly affected by abiotic environmental factors, such as light availability and maximum summer temperature. Further, the results indicate that seedling survival was affected by biotic environmental factors, i.e. fungal agents, with high abundances of a known fungal pathogen co-occurring with low seedling survival rates. My results also reveal that known mycorrhizal partners as well as a large number of unknown fungal operational taxonomic units (OTUs) were associated with the survival of seedlings. My findings highlight the importance of plant-fungal interactions for plant recruitment and offer a feasible approach for the identification of hidden plant-fungal associations in highly complex DNA metabarcoding datasets. This approach offers a valuable tool for investigating plant-microbe interactions, ultimately helping to understand plant population dynamics.
My dissertation adds to a deeper understanding on the linkage between plant regeneration and species interactions, especially on how plant-animal and plant-fungal interactions in concert with environmental factors shape plant recruitment. My study reveals the importance of animal-mediated seed dispersal and fungal pathogens in plant recruitment with consequences for potential range shifts of plant species. My thesis has important implications for conservation and management efforts by informing on key species interactions under environmental change.