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Tissue size regulation is critical for the normal functioning of the organ as well as to prevent unwanted pathogenesis such as cancer. The Hippo signaling pathway is well known for its robust regulation of tissue growth by the negative regulation of its nuclear effectors YAP1 and WWTR1. In this study, I have described the role of Yap1/Wwtr1 in zebrafish development, with a primary emphasis on the cardiovascular system.
I have generated zebrafish yap1 and wwtr1 mutants by CRISPR/CAS9. The mutant alleles are likely to be nonfunctional due to a premature stop codon and they show evidence of nonsense-mediated decay. Given that Yap1 and Wwtr1 are closely related proteins and have overlapping functions, I am given the opportunity to perform combinatorial analysis of the mutations on zebrafish development. Together with molecular probing tools, high-throughput sequencing and high-resolution imaging, I showed that
1. Double yap1;wwtr1 mutants exhibit severe posterior elongation phenotype, but somitogenesis appears to proceed as usual.
2. Yap1 and Wwtr1 may play an important role in PCV development and secondary angiogenic sprouting. However, key experiments will be needed to elucidate the direct role of Yap1 and Wwtr1 on these processes.
3. wwtr1-/- larvae hearts have a reduction in trabeculation, but in mosaic WT hearts, mutant cardiomyocytes prefer to populate the trabecular layer. My studies revealed that the mutant compact wall could not support trabeculation, which explains the hypotrabeculation phenotype of wwtr1-/- hearts. Additionally, Wwtr1 is required for myocardial Notch activity and can inhibit compact wall cardiomyocytes from entering the trabecular layer.
In summary, the Hippo signaling pathway, through Yap1/Wwtr1 has important regulatory functions in growth control. My work has revealed a surprising role for Yap1/Wwtr1 in tissue morphogenesis such as posterior tail morphogenesis and specific developmental processes of the cardiovascular system. It will be of interest to elucidate the regulation of Yap1/Wwtr1 in individual cells that translates into the complex cellular behaviors that drives morphogenesis.
Research in cell and developmental biology requires the application of three-dimensional model systems that reproduce the natural environment of cells. Processes in developmental biology are therefore studied in entire systems like insects or plants. In cell biology, three-dimensional cell cultures (e.g. spheroids or organoids) model the physiology and pathology of cells, tissues or organs. In all systems, the cellular neighborhood and interactions, but also physicochemical influences, are realistically presented. The production and handling of these model systems is rather simple and allows for reproducible characterization.
Confocal and light sheet-based fluorescence microscopy (LSFM) enable the observation of these systems while maintaining their three-dimensional integrity. LSFM is applicable to imaging live samples at high spatio-temporal resolution over long periods of time. The quality of the acquired datasets enables the extraction of quantitative features about morphology, functionality and dynamics in the context of the complete system. This approach is referred to as image-based systems biology. Exploiting the potential of the generated datasets requires an image analysis pipeline for data management, visualization and the retrieval of biologically meaningful values.
The goal of this thesis was to identify, develop and optimize modules of the image analysis pipeline. The modules cover data management and reduction, visualization, reconstruction of multiview image datasets, the segmentation and tracking of cell nuclei and the extraction of quantitative features. The modules were developed in an application-driven manner to test and ensure their applicability to real datasets from three-dimensional fluorescence microscopy. The underlying datasets were taken from research projects in developmental biology in insects and plants, as well as from cell biology.
The datasets acquired in fluorescence microscopy are typically complex and require common image processing steps in order to manage, visualize, and analyze the datasets. The first module accomplishes automatic structuring of large image datasets, reduces the data amount by image cropping and compression and computes maximum projection images along different spatial directions. The second module corrects for intensity variations in the generated maximum projection images that occur as a function of time. The program was published as a part of an article in Nature Protocols. Another developed module named BugCube provides a web-based platform to visualize and share the processed image datasets.
In LSFM, samples can be rotated in-between two acquisitions enabling the generation of multiview image datasets. Prior to my work, Frederic Strobl and Alexander Ross acquired the complete embryogenesis of the red flour beetle, Tribolium castaneum, and the field cricket, Gryllus bimaculatus, with LSFM. I evaluated a plugin for the software FIJI as a module for the reconstruction of such datasets. The plugin was optimized for automation and efficiency. We obtained the first high quality three-dimensional reconstructions of Tribolium and Gryllus datasets.
Optical clearing increases the penetration depth into samples, thus providing endpoint images of entire three-dimensional objects with cellular detail. This work contributes a quantitative characterization module that was applied to endpoint images of optically cleared spheroids. A program for the generation of ground truth datasets was developed in order to evaluate the cell nuclei segmentation performance. The program was part of a paper that was published in BMC Bioinformatics. Using the program, I could show that the cell nuclei segmentation is robust and accurate. Approaches from computational topology and graph theory complete the segmentation of cell nuclei. Thus, the developed module provides a comprehensive quantitative characterization of spheroids on the level of the individual cell, the cell neighborhood and the whole cell aggregate. The module was employed in four applications to analyze the influence of different stress conditions on the morphology and cellular arrangement of cells in spheroids. The module was accepted for publication in Scientific Reports along with the results for one application. The cell nuclei segmentation further provided a data source for simulation models that used correlation functions to identify structural zones in spheroids. These results were published in Royal Society Interface.
The final part of this work presents a module for cell tracking and lineage reconstruction. In collaboration with Dr. Alexis Maizel, Dr. Jens Fangerau and Dr. Daniel von Wangenheim, I developed a module to track the positions of all cells involved in lateral root formation in Arabidopsis thaliana and used the extracted positions for extensive data analysis. We reconstructed the cell lineages and established the first atlas of all founder cells that contribute to the formation. The analysis of the retrieved data allowed us to study conserved and individual patterns in lateral root formation. The atlas and parts of the analysis presented in this thesis were published in Current Biology.
In this thesis, I developed modules for an image analysis pipeline in three-dimensional fluorescence microscopy and applied them in interdisciplinary research projects. The modules enabled the organization, processing, visualization and analysis of the datasets. The perspective of the image analysis pipeline is not restricted to image-based systems biology. With ongoing development of the image analysis pipeline, it can also be a valuable tool for medical diagnostics or industrial high-throughput approaches.
The cardiovascular system (CVS) consists of heart and blood vessels, forming a close circulatory loop. All tissues depend on the nutrients and molecular oxygen (O2) delivered by the blood. Therefore, it is not surprising that the CVS is one of the first working systems and the heart is the first functional organ in the forming embryo (Baldwin 1996). The building blocks of blood vessels are endothelial cells (ECs), which form the endothelium, a specialized epithelium that defines the luminal surface of the vessels (Pugsley and Tabrizchi 2000). The process of blood vessel development comprises several steps. The first events occurring are the formation of new vessels de novo to constitute the primary vascular loop known as vasculogenesis. During vasculogenesis the vascular precursors, known as angioblasts, migrate and coalesce to form the axial vessels. Subsequently, the main vessels undergo a specification step where they acquire either arterial or venous identity. As the embryo increases in size, the main vascular loop needs to increase in complexity. In order to reach all the different parts of the developing organs, new blood vessels are formed from pre-existing ones, a phenomenon known as angiogenesis (Gore et al. 2012).
Mature blood cells have a short lifespan. Therefore, hematopoietic stem cells (HSCs) are required throughout lifetime to constantly form new blood cells in a process called hematopoiesis. Interestingly, endothelial and immune cells development have been shown to converge at different points during their development, one of which is developmental hematopoiesis. During embryogenesis, definitive hematopoiesis occurs in a tissue called hemogenic endothelium (HE), a specialized subset of ECs at the ventral wall of the dorsal aorta (DA). HE acquires hematopoietic potentials and gives rise to HSCs, through a process known as endothelial-to-hematopoietic transition (EHT). During EHT, these specialized ECs extrude from DA and colonize the so-called aorta-gonadmesonephros (AGM) region, forming the native HSCs (Paik and Zon 2010).
As vascular development requires different steps, the molecular pathways involved are many. The Notch signaling pathway has been demonstrated to be one of the main players in vascular development. Among other functions, Notch signaling has been shown to be important during EHT. In the murine model, Runx1, a master regulator of HSC formation, has been shown to be transcriptionally regulated by NOTCH1 through GATA2 activation. This observation was later corroborated by knockdown studies for notch1a and notch1b in zebrafish (Butko, Pouget, and Traver 2016). Another essential pathway for vascular development is the HIF pathway. Hif-1α, Hif-1β and Hif-2α mouse mutants show severe vascular defects that result in early embryonic lethality (Simon and Keith 2008), which hinders a deep analysis of the phenotypes incurring in the mutant embryos. In addition, deletion of Hif-1α specifically in myeloid cells showed abnormalities in the motility, invasiveness, and adhesion of macrophages (Cramer et al. 2003). Intriguingly, Hif-1α deletion in vascular endothelial cadherin-expressing cells led to a significant but partial reduction of HSC number, suggesting that other players may be involved in this pathway (Imanirad et al. 2014).
Zebrafish embryos have been shown to be tolerant to hypoxia at very early stages of development (Padilla and Roth 2001). Also, zebrafish embryos develop externally and this allows to finely manipulate the environment where they grow (Lieschke and Currie 2007). These features make zebrafish an ideal model to investigate how hypoxia and Hif transcription factors affect vertebrate vascular development. In this study, I will examine the impact of hypoxia on zebrafish vascular development. Specifically, I will dissect the role of hif-1α in macrophage-EC interactions during vascular development and repair. Moreover, I show redundant functions for hif-1α and hif-2α in HSC development upstream of Notch signaling.
In der vorliegenden dreiteiligen Studie werden Mongolische Wüstenrennmäuse untersucht, deren Hörspektren im tieffrequenten Bereich und deren Unterscheidungsfähigkeiten von Kommunikationsrufen denen des Menschen ähneln. Die extrazelluläre Aktivität im primären auditorischen Kortex (AI) der narkotisierten Versuchstiere, evoziert durch Reintöne und arteigene Kommunikationsrufe, wird in der linken (LH) und rechten Gehirnhemisphäre (RH) aufgenommen. Es werden Multikanalelektroden (16 Eingangskanäle) verwendet, welche eine simultane Aufnahme der neuronalen Aktivitäten aller kortikalen Schichten ermöglichen. Zur Analyse der neuronalen Mechanismen werden Wellenformen einzelner Elektrodenkanäle und Aktivitätsprofile, bestehend aus den Wellenformen aller Elektrodenkanäle in einem Zeitfenster von 600 ms, auf Ebene von Aktionspotentialen (MUA), lokalen Feldpotentialen (LFP) und Current-source-density (CSD) Analysen, untersucht. Während MUAs die neuronalen Aktionspotentiale im Nahfeld der Elektrode reflektieren, umfassen die LFPs die summierten Potentiale (inhibitorisch und exzitatorisch) von Neuronen eines größeren Areals. Die CSDs hingegen werden durch die Integration von LFP-Wellenformen benachbarter, linear angeordneter Elektrodenkanäle berechnet und ermöglichen so eine Lokalisation der Ursprünge geräuschspezifischer Aktivitätsflüsse.
Im ersten Teilprojekt werden CSD-Profile in Antwort auf unterschiedliche Reintöne untersucht, um die Aktivitätskomponenten, die so genannten Sinks, für weiterführende Analysen zu quantifizieren. Es können zwei primäre (s1 und s2), drei mittlere (s3-s5) und vier späte (s6-s9) Sinks in einem Zeitfenster von 600 ms definiert werden. Eine Veränderung der Stimulusfrequenz eine Oktave über und unter der charakteristischen Frequenz (CF), beziehungsweise des Lautstärkepegels = 24 dB über der minimalen Schwelle, führt zu qualitativen Veränderungen in der CSD-Profilstruktur. Die Sink s7 wird durch Stimuli mit niedrigem Lautstärkepegel weniger verlässlich evoziert, wohingegen die Sink s9 bei Stimuli eine Oktave über der CF verlässlicher evoziert wird. Die Ergebnisse weisen darauf hin, dass im AI die spektralen Informationen eine Oktave über und unter der CF asymmetrisch integriert werden.
Auf Einzelschichtebene konnte bereits gezeigt werden, dass spektrotemporale Eigenschaften von Stimuli durch MUAs schlechter reflektiert wurden als durch LFPs, was vermutlich eine direkte Konsequenz der unterschiedlichen Ursprünge der Signaltypen ist. Daher werden im zweiten Teilprojekt die spezifischen Unterschiede der MUA-, LFP- und CSD-Antworten auf Ebene kortikaler Schichten und kompletter laminarer Profile untersucht, um die Unterschiede und den Informationsgehalt der drei Signaltypen zu charakterisieren. Signifikante Unterschiede, welche durch zwei Reintöne und sieben Kommunikationssignale evoziert werden, können verstärkt im mittleren und späten Latenzbereich und in granulären und infragranulären Schichten vorgefunden werden. Der Grad der Rufspezifizität ist in LFP und CSD-Antworten im Vergleich zu demjenigen in MUA-Antworten größer. Die Segregationsleistung ist im Vergleich zu einzelnen kortikalen Schichten in den von kortikalen Kolumnen abgeleiteten laminaren Profilen um den Faktor 1,8-2,6 erhöht. Die Neuronenpopulationen einzelner kortikaler Kolumnen sind vermutlich wichtig für die Kodierung von Geräuschen, welche sich in ihren spektrotemporalen Eigenschaften unterscheiden.
Viele vorangegangene Studien konnten zeigen, dass die Gehirnhemisphären akustische Signale asymmetrisch verarbeiten. Daher werden im dritten Hauptteil die laminaren Profile der LH und RH quantitativ und statistisch verglichen. Die MUA-, CSD-Profile und im geringeren Maße auch die LFP-Profile zeigen systematische Unterschiede auf signifikantem Niveau in der Dauer, Onset Latenz und vertikalen Ausdehnung bestimmter Aktivitäten. Kommunikationsrufe evozieren in der LH, welche beim Menschen auf Sprachstimuli spezialisiert ist, im Vergleich zur RH komplexere CSD-Profile. Die neuronale MUA-, LFP- und CSD-Aktivitätsstärke ist in der RH für weniger komplexe Stimuli teilweise signifikant erhöht. Die Asymmetrie in der Auftrittsverlässlichkeit der Sink s6 lässt vermuten, dass sich die intrakolumnäre Vernetzung in Schicht VIa zwischen der LH und RH unterscheidet. Die wenigen, signifikanten und nicht systematischen Unterschiede zwischen den Sink-Parametern der LH und RH nach kortikaler Ausschaltung mit dem GABAA-Rezeptor Agonist Muscimol weisen darauf hin, dass die Hemisphärenasymmetrie durch Prozesse des ipsilateralen Kortex maßgeblich beeinflusst wird.
The fruit fly Drosophila melanogaster is one of the most important biological model organisms, but only the comparative approach with closely related species provides insights into the evolutionary diversification of insects. Of particular interest is the live imaging of fluorophores in developing embryos. It provides data for the analysis and comparison of the threedimensional morphogenesis as a function of time. However, for all species apart from Drosophila, for example the red flour beetle Tribolium castaneum, essentially no established standard operation procedures are available and the pool of data and resources is sparse. The goal of my PhD project was to address these limitations. I was able to accomplish the following milestones:
- Development of the hemisphere and cobweb mounting methods for the non-invasive imaging of Tribolium embryos in light sheet-based fluorescence microscopes and characterization of most crucial embryogenetic events.
- Comprehensive documentation of methods as protocols that describe (i) beetle rearing in the laboratory, (ii) preparation of embryos, (ii) calibration of light sheet-based fluorescence microscopes, (iv) recording over several days, (v) embryo retrieval as a quality control as well as (vi) data processing.
- Adaption of the methods to record and analyze embryonic morphogenesis of the Mediterranean fruit fly Ceratitis capitata and the two-spotted cricket Gryllus bimaculatus as well as integration of the data into an evolutionary context.
- Further development of the hemisphere method to allow the bead-based / landmark-based registration and fusion of three-dimensional images acquired along multiple directions to compensate the shadowing effect.
- Development of the BugCube, a web-based computer program that allows to share image data, which was recorded by using light sheet-based fluorescence microscopy, with colleagues.
- Invention and experimental proof-of-principle of the (i) AGameOfClones vector concept that creates homozygous transgenic insect lines systematically. Additionally, partial proof-of-principle of the (ii) AClashOfStrings vector concept that creates double homozygous transgenic insect lines systematically, as well as preliminary evaluation of the (iii) AStormOfRecords vector concept that creates triple homozygous transgenic insect lines systematically.
- Creation and performance screening of more than fifty transgenic Tribolium lines for the long-term imaging of embryogenesis in fluorescence microscopes, including the first Lifeact and histone subunit-based lines.
My primary results contribute significantly to the advanced fluorescence imaging approaches of insect species beyond Drosophila. The image data can be used to compare different strategies of embryonic morphogenesis and thus to interpret the respective phylogenetic context. My technological developments extend the methodological arsenal for insect model organisms considerably.
Within my perspective, I emphasize the importance of non-invasive long-term fluorescence live imaging to establish speciesspecific morphogenetic standards, discuss the feasibly of a morphologic ontology on the cellular level, suggest the ‘nested linearly decreasing phylogenetic relationship’ approach for evolutionary developmental biology, propose the live imaging of species hybrids to investigate speciation and finally outline how light sheet-based fluorescence microscopy contributes to the transition from on-demand to systematic data acquisition in developmental biology.
During my PhD project, I wrote a total of ten manuscripts, six of which were already published in peer-reviewed scientific journals. Additionally, I supervised four Master and two Bachelor projects whose scientific questions were inspired by the topic of my PhD work.
Inhibition of midbrain dopamine (DA) neurons codes for negative reward prediction errors, and causally affects conditioning learning. DA neurons located in the ventral tegmental area (VTA) display two-fold longer rebound delays from hyperpolarizing inhibition in comparison to those in the substantia nigra (SN). This difference has been linked to the slow inactivation of Kv4.3-mediated A-type currents (IA). One known suppressor of Kv4.3 inactivation is a splice variant of potassium channel interacting protein 4 (KChIP4), KChIP4a, which has a unique potassium channel inactivation suppressor domain (KISD) that is coded within exon 3 of the KChIP4 gene. Previous ex vivo experiments from our lab showed that the constitutive knockout of KChIP4 (KChIP4 KO) removes the slow inactivation of IA in VTA DA neurons, with marginal effects on SN DA neurons. KChIP4 KO also increased firing pauses in response to phasic hyperpolarization in these neurons. Here I show, using extracellular recordings combined with juxtacellular labeling in anesthetized mice, that KChIP4 KO also selectively changes the number and duration spontaneous firing pauses by VTA DA neurons in vivo. Pauses were quantified with two different statistical methods, including one developed in house. No other firing parameter was affected, including mean frequency and bursting, and the activity of SN DA neurons was untouched, suggesting that KChIP4 gene products have a highly specific effect on VTA DA neuron responses to inhibitory input.
Following up on this result, I developed a new mouse line (KChIP4 Ex3d) where the KISD-coding exon 3 of KChIP4 is selectively excised by cre-recombinase expressed under the dopamine transporter (DAT) promoter, therefore disrupting the expression of KChIP4a only in midbrain DA neurons. I show that these mice have a highly selective behavioral phenotype, displaying a drastic acceleration in extinction learning, but no changes in acquisition learning, in comparison to control littermates. Computational fitting of the behavioral data with a modified Rescorla-Wagner model confirmed that this phenotype is congruent with a selective increase in learning from negative prediction errors. KChIP4 Ex3d also had normal open field exploration, novel object preference, hole board exploration and spontaneous alternation in a plus maze, indicating that exploratory drive, responses to novelty, anxiety, locomotion and working memory were not affected by the genetic manipulation. Furthermore semi-quantitative IHC revealed that KChIP4 Ex3d mice have increased Kv4.3 expression in TH+ neurons, suggesting that the absence of KChIP4a increases the binding of other KChIP variants, which known to increase surface expression of Kv4 channels.
Furthermore, in the course of my experimental study I identified that the most used mouse line where cre-recombinase is expressed under the DAT promoter (DAT-cre KI) has a different behavioral phenotype during conditioning in relation to WT littermate controls. These animals displayed increased responding during the initial trials of acquisition and delayed response latency extinction, consistent with an increase in motivation, which is in line with a decrease in DAT function.
I propose a working model where the disruption of KChIP4a expression in DA neurons leads to an increase in binding of other KChIP variants to Kv4.3 subunits, promoting their increased surface expression and increasing IA current density; this then increases firing pauses in response to synaptic inhibition, which in behaving animals translates to an increase in negative prediction error-based learning.
Introduction:
The evolutionary patterns of symbiotic organisms are inferred using cophylogenetic methods. Congruent phylogenies indicate cospeciation or host-switches to closely-related hosts, whereas incongruent topologies indicate independent speciation. Recent studies suggest that coordinated speciation is a rare event, and may not occur even in the highly specialized associations. The cospeciation hypothesis was mainly tested for free-living mutualistic associations, such as plant-pollinator interactions, and host-parasitic systems but was rarely tested on obligate, mutualistic associations involving intimate physiological interactions. Symbionts with lower partner selectivity may not experience coordinated speciation due to frequent switching of partners. On the other hand, symbionts with high partner selectivity may influence each other’s evolution owing to the highly interdependent lifestyles. Symbiont association patterns are also influenced by habitat and it has been proposed that symbiotic interactions are stronger in warm regions as compared to cooler regions (also referred as latitudinal gradient of biotic specialization). This hypothesis however, has recently been challenged and it has been suggested that a gradient of biotic specialization may not exist at all. Reliable species concepts are a prerequisite for understanding the association and evolutionary patterns of symbiotic organisms. The species concepts of many groups traditionally relied on the morphological species concept, which may not be adequate for distinguishing species due to the: i) homoplasious nature of morphological characters, an due to the inability to distinguish cryptic species. Thus phylogenetic species concept along with coalescent-based species delimitation approaches, which utilize molecular data for inferring species boundaries have been used widely for resolving taxonomic relationships. Lichens are obligatory symbiotic associations consisting of a fungal partner (mycobiont) and one or more photosynthetic partners, algae, and/or cyanobacteria (photobionts). I used the lichen forming fungal genus Protoparmelia as my study system, which consists of ~25-30 previously described species inhabiting different habitats, from the arctic to the tropics. This makes Protoparmelia an ideal system to explore the association and evolutionary patterns across different macrohabitats.
Objectives:
The objectives of this thesis were to 1. Elucidate the phylogenetic position of Protoparmelia within Lecanorales, and infer the monophyly of Protoparmelia; 2. Understand species diversity within Protoparmelia s.str. using coalescent-based species delimitation approaches; and 3. To identify the Trebouxia species associated with Protoparmelia using phylogenetic and species delimitation approaches and to infer the association and cophylogenetic patterns Protoparmelia and Trebouxia in different macrohabitats.
Results and discussion:
Chapter 1: Taxonomic position of Protoparmelia
In the first part of this study I explored the taxonomic position of Protoparmelia within the order Lecanorales. Overall this study included 54 taxa from four families, sequenced at five loci (178 sequences). I found Protoparmelia to be polyphyletic and sister to Parmeliaceae.
Chapter 2: Multilocus phylogeny and species delimitation of Protoparmelia spp.
In this part of the study, I identified and delimited the Protoparmelia species forming a monophyletic clade sister to Parmeliaceae i.e., Protoparmelia sensu stricto group, based on the multilocus phylogeny and coalescent-based species delimitation approaches. I included 18 previously described and three unidentified Protoparmelia species, which represents ~70% of the total described species, and 73 other taxa, sequenced at six loci. I found that the sensu stricto group comprised of 25 supported clades instead of 12 previously described Protoparmelia species. I tested the speciation probabilities of these 25 clades using species delimitation softwares BP&P and spedeSTEM. I found nine previously unrecognized lineages in Protoparmelia and I propose the presence of at least 23 species for Protoparmelia s.str., in contrast to the 12 described species included in the study.
Chapter 3: Association and cophylogenetic patterns of Protoparmelia and its symbiotic partner Trebouxia
...
The human brain is one of the most complex biological systems. More than 100 billion neurons build networks that control basic body functions and highly coordinated movements, enable us to express emotions, feelings and thoughts and to store memories over years and even throughout life time. Ultimately, “We are who we are because of what we learn and what we remember” (Kandel 2006). Under pathological conditions, the brain function is challenged. Most if not all neurological diseases have in common that they are either triggered and/or accompanied by inflammatory processes of brain tissue, referred to as neuroinflammation. Such inflammatory processes directly affect an elementary neural mechanism relevant for learning and memory: synaptic plasticity. Indeed, neurons are highly dynamic structures and able to respond to specific stimuli with morphological, functional and molecular adaptations that modify the strength and number of neuronal contact sides (synapses). Hence, the main motivation of this thesis was to identify the neural targets through which inflammation affects brain function and synaptic plasticity in particular. The principles of synaptic plasticity have been studied intensively in the hippocampus, an anatomical structure localized within the temporal lobes that is essential for the consolidation of memories and spatial navigation. Synaptic plasticity is coordinated by complex interactions of thousands of molecules and proteins. Among those proteins, synaptopodin (SP) is localized at a strategic position within excitatory synapses and has been shown to be fundamentally involved in the regulation of synaptic plasticity.
To induce neuroinflammation and to study its effects on SP as well as synaptic plasticity, the classic model of lipopolysaccharide (LPS) was applied. This thesis discloses that inflammatory processes impair the ability of neurons to express hippocampal synaptic plasticity in vivo, which is accompanied by a downregulation of SP-mRNA and protein level in the mouse hippocampus, indicating that SP is one of the cellular targets through which inflammatory signaling pathways affect synaptic plasticity and hence neural function. To learn more about the cellular and molecular mechanisms, an in vitro LPS model was established using entorhino-hippocampal organotypic slice cultures (OTCs).
While confirming the major effect of LPS on SP, this thesis furthermore shows that neuroinflammation crucially involves the cytokine TNFα to transduce its effects on SP, and that microglial cells are the main source of TNFα production under inflammatory conditions. In an attempt to learn more about the mechanisms that are affected under conditions of neuroinflammation effects of retinoic acid (RA), a vitamin A derivate were tested. This is mainly because SP as well as RA have been shown to modulate synaptic plasticity through the accumulation of glutamate receptors at the postsynaptic site: SP via the association with the actincytoskeleton as well as intracellular calcium stores, and RA directly via the modulation of local protein synthesis within dendrites. Indeed, in slice cultures exposed to RA, hippocampal SP cluster size is upregulated, both in vitro and in vivo. Intriguingly, a lack of SP prevents RA-induced synaptic strengthening of hippocampal dentate granule cells in OTCs. This suggests a direct contribution of SP in RA-dependent synaptic plasticity. Interestingly, co-immunoprecipitation of SP-mRNA together with the RA-receptor alpha (RARα) further implies that RA directly controls synaptic plasticity via regulation of SP-protein expression. It is therefore interesting to speculate that RA may increase SP expression or prevent its reduction and thus alterations in synaptic plasticity under conditions of neuroinflammation. Taken together, this thesis identifies SP as an important neuronal target of TNFα-mediated alterations in synaptic plasticity. Moreover, the work on RA indicates that SP affects the ability of neurons to express synaptic plasticity by modulating/mediating local protein synthesis. Since neuroinflammatory processes are an elementary concomitant feature and/or cause of neurological diseases, I am confident that future work on the effects of inflammatory processes on brain function may provide the perspective in devising new therapeutic strategies for the treatment of neuropathologies such as Alzheimer’s disease, multiple sclerosis, epilepsy or stroke, by targeting SP expression and SP-mediated synaptic plasticity.
Deciphering the ecological functions of fungal root endophytes based on their natural occurrence
(2017)
Plants are colonized by a large diversity of fungi, some residing on the surface and others penetrating the plant tissues, the latter referred to as fungal endophytes (endon Gr., within; phyton, plant; de Bary 1879). Despite the saprotrophic potential of fungal endophytes, they are not found to cause visible disease symptoms to the host. Plants are colonized simultaneously by various fungal species, which form rich and diverse endophytic assemblages. Although it is hypothesized that fungal endophytes contribute to the fitness of their hosts and to the functioning of ecosystems, the ecological function of fungal endophytic assemblages remains cryptic. The aims of this doctoral thesis are to gain insight to the ecological functions of root fungal endophytes, by deciphering their roles in ecosystems based on their natural occurrence and the structure of their assemblages. The thesis focuses on studying the diversity and structure of the endophytic mycobiome within roots of two annual and widespread plant hosts Microthlapsi perfoliatum and M. erraticum (Brassicaceae) in several locations across northern Mediterranean and central Europe. The thesis is composed by six Chapters, with a primary focus on Chapter 1, 2 and 3.
Chapter 1 (Glynou et al., 2016) aimed at characterizing the diversity of fungal endophytes in roots at a continental scale and at assessing the factors affecting the structure of endophytic assemblages with the use of cultivation-based methods. For that, root samples were collected from 52 plant populations, along with a collection of soil, bioclimatic, geographic and host data. Cultivation of surface-sterilized root samples on culture media and isolation of fungal colonies in pure culture generated 1,998 fungal colonies. Grouping of sequences into Operational Taxonomic Units (OTUs), based on the 97% similarity of the isolates’ rDNA Internal Transcribed Spacer (ITS) sequence, generated in total 296 OTUs, representing taxa mostly within the phylum Ascomycota with a minor representation of Basidiomycota. Endophytic assemblages were mostly correlated with variation in bioclimatic conditions. Interestingly, despite the large diversity revealed, the assemblages were dominated by only six OTUs related to the orders Hypocreales, Pleosporales and Helotiales, which had a widespread distribution across populations but with some following patterns of ecological preferences.
Chapter 2 aimed at characterizing the uncultivable fraction of the root fungal endophytic diversity, which was not possible to capture in Chapter 1. High-throughput sequencing via the
Illumina Miseq platform was implemented in 43 of the 52 original populations and mostly in the same root samples. In comparison with the cultivation-based approach, the HTS managed to cover the overall diversity within samples. It revealed a large non-cultivated endophytic diversity but the same cultivable fungi dominated assemblages. Moreover, the endophytic diversity was grouped mostly within fungal orders with demonstrated ability to grow in culture and taxonomically related groups were found to have divergent ecological preferences.
The genetic identity of the most abundant OTUs was further investigated in Chapter 3 (Glynou et al., 2017), aiming to unravel genotypic variability, which was possibly overlooked due to the use of lTS, as a universal genetic marker, and could explain their high abundance and widespread distribution. Multi-locus gene sequencing and AFLP profiling for the five most abundant OTUs suggested a low within-OTU genetic variability and show that these fungi have ubiquitous distribution and are not limited by environmental conditions within the ecological ranges of the study. A selection of endophytes frequently isolated in Chapter 1 was functionally characterized in Chapter 4 (Kia et al., 2017) based on the isolates’ traits and interactions with plants. In Chapter 5 (Cheikh-Ali et al., 2015) fungal cultures of Exophiala sp. with differential colony structure where investigated for their production of secondary metabolites. Moreover, Chapter 6 (Maciá-Vicente et al., 2016) comprises the description of the new species Exophiala radicis based on morphological and molecular characteristics.
Compilation of all results shows that the fungal endophytic diversity in roots of Microthlaspi spp. is high but few widespread OTUs dominate the assemblages, and have unlimited dispersal ability. These fungi seem also to have a wide niche breadth and are not affected by environmental filtering. The findings indicate that the local environment but also processes of competitive exclusion determine the structure of endophytic assemblages. In addition, the fungal endophytes associated with Microthlapsi spp. likely have saprotrophic activity however the interactions with plants are likely context-dependent. Further research is needed to assess the biotic interactions among endophytes and their effect on the structure of fungal endophytic assemblages. Ultimately, the findings of this thesis are useful to shed light on the processes underlying the structure of endophytic assemblages. They also upraise the need to describe diversity by combining genetic, metabolic and physiological data, in order to disentangle the elusive ecological roles of the endophytic mycobiome.
Glucose homeostasis is tightly regulated by insulin production from ß-cells and glucagon production from α-cells. Changes in the balance of these hormones lead to Diabetes Mellitus (DM), which is foreseen to be the 7th leading cause of death by 2030, warranting a high demand to identify new therapeutics. DM is characterized by a reduction in ß-cell mass and reduced insulin production from ß-cells. α-cell development and fate mainly depend on the activity of the homeodomain-containing transcription factor Aristaless related homeobox (Arx). Conditional loss- of- function of Arx in α-cells leads to their conversion into functional insulin-producing ß-cells and thus an expansion of ß-cell mass. Therefore, inhibition of Arx is an interesting target for the expansion of ß-cells. The zebrafish model provides a fast, cost-effective and reliable translational platform for drug discovery in an in vivo setting. Here, we screened ~6217 small molecules on a transgenic zebrafish line (TgBAC(arxa:Luc2)) in which the arx promoter drives the expression of the luciferase gene which allows a sensitive and quantitative readout of promoter activity. Small molecule screening allowed us to identify 36 candidate repressors of arxa promoter activity. Furthermore, we started to validate these candidates in other assays. Preliminary results showed that DMAT (a potent CK2 inhibitor) and CNS-1102 (NMDA receptor inhibitor) increase functional ß-cell regeneration. By lineage tracing α-cells during ß-cell regeneration, we could show that both DMAT and CNS-1102 promote α- to ß-cell transdifferentiation. Here, we propose that Casein kinase II and NMDA receptor as potential molecular targets that could be exploited for the treatment of diabetes by generating functional beta-cells from the non-beta-cell progenitor, particularly alpha-cells in situ.