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Colorectal cancer (CRC) has the third highest incidence and the fourth highest mortality rate worldwide and represents a substantial health care burden and affects the life of millions of people. CRC is a genetic disease caused by the stepwise accumulation of genetic alterations. The initiating event in colorectal carcinogenesis is the aberrant activation of the WNT pathway, but other pathways are also commonly deregulated, including the PI3K/AKT pathway. A number of previous studies using genetically engineered mouse models aimed at dissecting the exact role of PI3K/AKT pathway in CRC, but have yielded in rather conflicting results. Despite the inconsistent results, these studies already put forward the idea that PI3K/AKT signaling in combination with other genetic events might substantially contribute to tumor progression.
Since the PI3K/AKT pathway is frequently activated in CRC, it represents an ideal candidate for therapeutic intervention. Although extensive efforts had led to the development of numerous inhibitors targeting the PI3K/AKT pathway, the diversity of genetic alterations can challenge the identification of the most effective therapeutic targets. Therefore, the discovery of shared tumor-promoting mechanisms downstream of these genetic alterations might unravel new biomarkers and druggable targets. The aim of this study was to elucidate the precise role of PI3K/AKT pathway during the course of colorectal carcinogenesis and to decipher novel pro-tumorigenic molecular mechanisms downstream of PI3K/AKT activation that can be used for therapeutic intervention.
To obtain a better insight into the role of the PI3K/AKT pathway during colorectal carcinogenesis, mice expressing an oncogenic variant of AKT1 (AktE17K) specifically in the intestinal epithelial cells (IEC) were used. At the age of 6 months untreated AktE17K mice showed clearly perturbed intestinal homeostasis, but no tumor formation. To induce colonic tumorigenesis, AktE17K mice were subjected to treatment with the colonic carcinogen azoxymethane (AOM). In response to AOM, AktE17K mice developed invasive but nonmetastatic tumors, which showed strong nuclear accumulation of TP53. To investigate the role of PI3K/AKT signaling specifically in CRC progression, AktE17K mice were crossed to TP53- deficient mice (Tp53ΔIEC). Unlike AktE17K mice, untreated Tp53ΔIECAktE17K, developed highly invasive small intestinal tumors by the age of 6 months. To investigate the role of AKT hyperactivation in colonic tumor progression, Tp53ΔIECAktE17K mice were subjected to AOM treatment. AKT hyperactivation significantly enhanced tumor progression and induced metastatic dissemination.
To get a better insight how AKT signaling can promote tumor progression, whole tumor tissues from AOM-treated Tp53ΔIEC and Tp53ΔIECAktE17K mice were subjected to next generation mRNA sequencing and phospho-proteomic analysis by mass spectrometry. Both analyses indicated that AKT hyperactivation expands the inflammatory tumor microenvironment and upregulates pathways associated with invasion and metastasis. Importantly, Gene Set Enrichment Analysis revealed that AOM-induced colon tumors of Tp53ΔIECAktE17K animals, are highly similar in their gene expression profile to the CMS4 subtype of human CRC, which is associated with worse overall- and relapse-free survival7 . Gene expression analysis also suggested elevated NOTCH signaling in the Tp53ΔIECAktE17K tumors. Interestingly, while the expression of Notch3 mRNA was increased in the tumors of Tp53ΔIECAktE17K mice, the expression of the other NOTCH receptors was unaffected by AKT hyperactivation. In vitro experiments using TP53-deficient mouse tumor organoids with hyperactive AKT signaling confirmed the direct, tumor cell-intrinsic link between AKT activation and increased Notch3 expression. Moreover, inhibition of EZH2 mimicked the effect of AKT hyperactivation on Notch3 expression, suggesting that AKT regulates Notch3 via an epigenetic mechanism.
Knock-down of Notch3 in TP53-deficient mouse tumor organoids with hyperactive AKT signaling resulted in differential regulation of several pathways with potential role in invasion and metastasis and in cell death and survival. Subsequent in vivo experiments confirmed the role of NOTCH3 signaling in CRC progression. Treatment of AOM-induced Tp53ΔIECAkt E17K mice with a NOTCH3 antagonistic antibody or the γ-secretase inhibitor DAPT significantly reduced invasion and metastasis. Importantly, NOTCH3 expression was also found to be associated with human CRC progression, suggesting that NOTCH3 represent a valid target for the treatment of CRC. This work, using genetically engineered mouse models and advanced in vitro techniques, has demonstrated a strong tumor promoting role for PI3K/AKT signaling in CRC progression and has identified NOTCH3 signaling as a potential therapeutic target downstream of the PI3K/AKT pathway.
Colorectal cancer (CRC) has the third highest incidence and the fourth highest mortality rate worldwide and represents a substantial health care burden and affects the life of millions of people. CRC is a genetic disease caused by the stepwise accumulation of genetic alterations. The initiating event in colorectal carcinogenesis is the aberrant activation of the WNT pathway, but other pathways are also commonly deregulated, including the PI3K/AKT pathway. A number of previous studies using genetically engineered mouse models aimed at dissecting the exact role of PI3K/AKT pathway in CRC, but have yielded in rather conflicting results. Despite the inconsistent results, these studies already put forward the idea that PI3K/AKT signaling in combination with other genetic events might substantially contribute to tumor progression. Since the PI3K/AKT pathway is frequently activated in CRC, it represents an ideal candidate for therapeutic intervention. Although extensive efforts had led to the development of numerous inhibitors targeting the PI3K/AKT pathway, the diversity of genetic alterations can challenge the identification of the most effective therapeutic targets. Therefore, the discovery of shared tumor-promoting mechanisms downstream of these genetic alterations might unravel new biomarkers and druggable targets. The aim of this study was to elucidate the precise role of PI3K/AKT pathway during the course of colorectal carcinogenesis and to decipher novel protumorigenic molecular mechanisms downstream of PI3K/AKT activation that can be used for therapeutic intervention.
To obtain a better insight into the role of the PI3K/AKT pathway during colorectal carcinogenesis, mice expressing an oncogenic variant of AKT1 (AktE17K) specifically in the intestinal epithelial cells (IEC) were used. At the age of 6 months untreated AktE17K mice showed clearly perturbed intestinal homeostasis, but no tumor formation. To induce colonic tumorigenesis, AktE17K mice were subjected to treatment with the colonic carcinogen azoxymethane (AOM). In response to AOM, AktE17K mice developed invasive but non-metastatic tumors, which showed strong nuclear accumulation of TP53. To investigate the role of PI3K/AKT signaling specifically in CRC progression, AktE17K mice were crossed to TP53-deficient mice (Tp53ΔIEC). Unlike AktE17K mice, untreated Tp53ΔIEC; AktE17K, developed highly invasive small
intestinal tumors by the age of 6 months. To investigate the role of AKT hyperactivation in colonic tumor progression, Tp53ΔIEC; AktE17K mice were subjected to AOM treatment. AKT hyperactivation significantly enhanced tumor progression and induced metastatic dissemination.
To get a better insight how AKT signaling can promote tumor progression, whole tumor tissues from AOM-treated Tp53ΔIEC and Tp53ΔIEC; AktE17K mice were subjected to next generation mRNA sequencing and phospho-proteomic analysis by mass spectrometry. Both analyses indicated that AKT hyperactivation expands the inflammatory tumor microenvironment and upregulates pathways associated with invasion and metastasis. Importantly, Gene Set Enrichment Analysis revealed that AOM-induced colon tumors of Tp53ΔIEC; AktE17K animals, are highly similar in their gene expression profile to the CMS4 subtype of human CRC, which is associated with worse overall- and relapse-free survival. Gene expression analysis also suggested elevated NOTCH signaling in the Tp53ΔIEC; AktE17K tumors. Interestingly, while the expression of Notch3 mRNA was increased in the tumors of Tp53ΔIEC; AktE17K mice, the expression of the other NOTCH receptors was unaffected by AKT hyperactivation. In vitro experiments using TP53-deficient mouse tumor organoids with hyperactive AKT signaling confirmed the direct, tumor cell-intrinsic link between AKT activation and increased Notch3 expression. Moreover, inhibition of EZH2 mimicked the effect of AKT hyperactivation on Notch3 expression, suggesting that AKT regulates Notch3 via an epigenetic mechanism.
Knock-down of Notch3 in TP53-deficient mouse tumor organoids with hyperactive AKT signaling resulted in differential regulation of several pathways with potential role in invasion and metastasis and in cell death and survival. Subsequent in vivo experiments confirmed the role of NOTCH3 signaling in CRC progression. Treatment of AOM-induced Tp53ΔIEC; AktE17K mice with a NOTCH3 antagonistic antibody or the γ-secretase inhibitor DAPT significantly reduced invasion and metastasis. Importantly, NOTCH3 expression was also found to be associated with human CRC progression, suggesting that NOTCH3 represent a valid target for the treatment of CRC. This work, using genetically engineered mouse models and advanced in vitro techniques, has demonstrated a strong tumor promoting role for PI3K/AKT signaling in CRC progression and has identified NOTCH3 signaling as a potential therapeutic target downstream of the PI3K/AKT pathway.
Characterizing the hologenome of Lasallia pustulata and tracing genomic footprints of lichenization
(2017)
The lichen symbiosis – consisting of fungal mycobionts and photoautotroph photobionts (green algae or cyanobacteria) – is globally successful. It covers an estimated 6% of the global surface with habitats ranging from deserts to the arctic. This success is reflected in the diversity of the mycobionts, with around 21% of all fungal species participating in lichen symbioses that can be facultative or obligate. Lichenization is furthermore evolutionary old, with fossil evidence for lichens reaching back 415 million years. For an individual fungal lineage, the Lecanoromycetes, the lichenization happened around 300 million years ago. This longstanding symbiotic relationship and the diversity of observed symbiotic dependency make them promising models to study the genomic consequences that follow the establishment of symbioses. Despite this, only little is known about the genomic effects of lichenization and extreme symbiotic dependency. To fill this gap we sequenced the hologenome of the lichen Lasallia pustulata, where the mycobiont could so far not been cultivated, suggesting that it might be more dependent on its symbionts.
As the poor culturability of lichen symbionts renders their genomes inaccessible to standard sequencing practices, we evaluated the extent to which different metagenome sequencing- and de novo assembly-strategies can be used to sequence and reconstruct the genomes of the individual symbionts. We find that the abundances of individual genomes present in the L. pustulata hologenome vary substantially, with the mycobiont being most abundant. Using in silico generated data sets and real Illumina sequencing data for L. pustulata we observe that the skewed abundances prevent a contiguous assembly of the underrepresented genomes when using only short-read sequencing. We conclude that short-read sequencing can offer first insights into lichen hologenomes. The fragmentation of the reconstructions hinders downstream analyses into the genomic consequences of lichenization though, as these are focused on identifying the gain and loss of genes.
We thus demonstrate a hybrid genome assembly strategy that is based on both short- and long-read sequencing. We show that this strategy is capable of creating highly contiguous genome reconstructions, not only for the L. pustulata mycobiont but also its photobiont Trebouxia sp., along with substantial amounts of the bacterial microbiome. A subsequent analysis of the microbiome of L. pustulata – performed over nine different samples collected in Germany and Italy – showed a stable taxonomic composition across the geographic range. We find that Acidobacteriaceae, which are known to thrive in nutrient poor habitats, are the dominant taxa. These would make them well adapted for the co-habitation with L. pustulata, which largely grows on rocks. Whether the Acidobacteriaceae are functionally involved in the lichen symbiosis is unclear so far.
As further comparative genomic studies rely on comprehensive genome annotations, we evaluate the completeness and fidelity of the gene annotations for the mycobiont L. pustulata as well as four further Lecanoromycetes. This reveals that un- and mis-annotated genes impact all evaluated genomes, with artificially joined genes and unannotated genes having the largest impact. In addition to these factors we find that the sequence composition – especially G/C-rich inverted repeats – lead to sequencing errors that interfere with the gene prediction. We minimize the effects of these artifacts through a rigorous curation.
Given the extremely sparse taxon sampling of available green alga genomes, we focus our search for the genomic footprints of lichenization on the mycobionts. We compare the genomes of the Lecanoromycetes to their closest relatives, the Eurotiomycetes and Dothideomycetes. This reveals that the last common ancestor of the Lecanoromycetes has lost around 10% of its genes after they split from the non-lichenized ancestor they share with the Eurotiomycetes. These losses are furthermore enriched, showing an excessive loss of genes involved with the degradation of polysaccharides. The loss of these genes fits a change from an ancestral saprotrophic lifestyle that depends on degrading complex plant matter, to the symbiotic lifestyle that relies on simpler nutrients provided by the photobionts. While the last common ancestor of the Lecanoromycetes additionally gained around 400 genes these could so far not be further characterized due to a lack of functionally annotated reference data.
As the mycobiont L. pustulata could so far not been grown in axenic culture, we initially expected to find an extensive genomic remodeling compared to the other mycobionts that easily grow in culture. We do not find evidence for this. Analyzing both the contraction of gene families and the loss of genes, we observe that L. pustulata and Umbilicaria muehlenbergii – its close relative that is easily grown in culture – share most of these. Furthermore, L. pustulata does not show an excessive loss of evolutionary old and well-conserved genes. These effects are mirrored on the functional level, as neither gene family contractions nor gene losses show a functional enrichment. This is partially due to the lack of functional reference data, analogous to the genes gained in the Lecanoromycetes, rendering their characterization hard. Thus, further studies on the genomic consequences of lichenization and differences in symbiotic dependence will have to be conducted, including larger taxon sets. This will be even more important for the photobionts, as the Chlorophyta are even more sparsely sampled today, hindering an effective functional and evolutionary study.
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.
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
...
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.
Molluscs are the second most species-rich phylum in the animal kingdom, yet only 11 genomes of this group have been published so far. Here, we present the draft genome sequence of the pulmonate freshwater snail Radix auricularia. Six whole genome shotgun libraries with different layouts were sequenced. The resulting assembly comprises 4,823 scaffolds with a cumulative length of 910 Mb and an overall read coverage of 72×. The assembly contains 94.6% of a metazoan core gene collection, indicating an almost complete coverage of the coding fraction. The discrepancy of ∼690 Mb compared with the estimated genome size of R. auricularia (1.6 Gb) results from a high repeat content of 70% mainly comprising DNA transposons. The annotation of 17,338 protein coding genes was supported by the use of publicly available transcriptome data. This draft will serve as starting point for further genomic and population genetic research in this scientifically important phylum.
In the dentate gyrus (DG) of the mammalian hippocampus, neurogenesis continues to take place throughout an organism’s life. Adult neurogenesis includes proliferation and differentiation of neural stem cells into dentate granule cells (GCs) that mature and integrate into the existing cellular network. This thesis work presents a novel approach that enables longitudinal examination of living postnatally generated GCs in their endogenous niche by using retroviral (RV) labeling in organotypic entorhino-hippocampal slice cultures (OTCs). Older GCs were fluorescence-labeled with an adeno-associated virus controlled by the synapsin 1 promoter (AAV-Syn). The combination of time-lapse imaging and 3-D reconstruction of newborn developing GCs and older, more mature GCs enabled comparative analyses of dendritic growth and cellular dynamics as well as investigations of spine formation and the establishment of synaptic contacts.
Postnatal neurogenesis was studied in the mouse and rat DG in vivo by analysis of the distribution of chemical neuronal maturation markers doublecortin (DCX) and calbindin in combination with the GC marker Prox1 between P7 and P42. The marker expression patterns at different time points indicated that the number of mature GCs increased gradually over time and that young, immature GCs were added to the inner layers of the granule cell layer (GCL), as is the case in the adult brain. The most substantial shift in GC maturation took place between P7 and P14, though GCs in the rat DG matured faster (i.e. by ~5 days) than GCs in the mouse. Immunocytochemical in vitro analysis in OTCs at DIV 7, 14, and 28 exhibited a distribution of marker expression over time that was comparable to in vivo, though the number of DCX-expressing GCs was low at DIV 28, indicating a considerable decrease in neurogenesis rate over time in the OTC. Nevertheless, RV-labeling of newborn GCs at DIV 0 yielded successful visualization and enabled time-lapse imaging of complete developing GCs up to 4 weeks after mitosis. During the second week of development, newborn GCs exhibited a high level of structural dynamics, including extension and retraction of dendritic segments. In the third week, newborn GCs displayed high dendritic complexity which was followed by pronounced dendritic pruning. Finally, a phase of structural stabilization and local refinement could be observed during the fourth week. Older AAV-Syn-labeled GCs did not exhibit such dynamic structural remodeling. Anterograde tracing of entorhinal projection fibers using the biotinylated dextran amine Mini Ruby showed innervation of the outer molecular layer (OML) by entorhinal axons at early time points, i.e. DIV 8 when newborn GCs started to extend dendrites into the ML, as well as at DIV 20 when RV-labeled GCs exhibited elaborate dendritic trees with processes in the OML intermingling with entorhinal fibers. This shows that newborn GCs in the OTC grow into an area of existing entorhinal axon terminals, which is highly similar to the situation in the adult brain. Hence, the results show that postnatal neurogenesis can be studied effectively in the OTC system as a model of adult neurogenesis. The first appearance of spine-like protrusions in newborn GCs was observed two weeks post RV injection. Ultrastructural electron-microscopic images revealed that spines established synaptic contacts with axonal boutons. These findings suggest that newborn GCs are successfully integrated into the existing cellular circuitry in the OTC system. The high level of structural flexibility found in this study might be a necessary requisite of new neurons for successful dendritic maturation and functional integration into a neuronal network. Thus, live imaging of postnatally born GCs in the OTC appears as a useful novel approach to elucidate the mechanisms that affect cellular dynamics of neurogenesis.
The objectives of this thesis were to understand how distinct classes of cell types interact to shape oscillatory activity in cortical circuits of the turtle. We chose the turtle cortex as a model system for cortical computations for two reasons. One is that the phylogenetic position of turtles makes their cortex functionally and anatomically particularly interesting. The second is that reptilian brains present several unique experimental advantages. Turtles have a three-layered cortex that forms the dorsalmost part of their pallium and receives direct input from visual thalamus. Thus turtle cortex, while sharing several features with mammalian cortices, constitutes a simpler system for studying cortical computations and dynamics. Freshwater turtles are semiaquatic species, that dive for hours and hibernate for months without breathing. Their brains are adapted to these behaviors so that they can operate under severe anoxia. This property allows for ex vivo wholebrain and whole-cortex (”cortical slab”) preparations in vitro, enabling the use of many sophisticated techniques for monitoring activity in parallel.
I thus set out to utilize the advantages of our model system, by using optogenetic methods to reliably evoke oscillations in an ex vivo whole-cortex preparation while observing activity in parallel with planar multi-electrode arrays (MEA), linear silicon depth-electrodes and patch-clamp recording techniques. This required several technical aspects to be solved. Prior work in turtle cortex (Prechtl, 1994; Prechtl et al., 1997; Senseman and Robbins, 2002) indicated that visual stimuli evoke complex activity patterns (e. g. wave patterns) in dorsal cortex. The goal was to examine these dynamics in detail and to provide mechanistic explanations for them whenever possible. The recent advent of optogenetics, the development of microelectrode arrays, and the possibility to combine these techniques with classical electrophysiological approaches on a resistant, accessible and stable preparation led me to explore a number of technical avenues.
First I had to establish gene delivery methods in reptiles. I settled on recombinant viruses, and show results from several serotypes of adeno-associated virus (AAV), i lentivirus and rabies virus. I report successful gene expression of genes of interest with several subtypes of AAV, including the commonly used AAV2/1 and AAV2/5 serotypes. Second I had to find promoters enabling global and cell-type specific gene expression in reptiles. Ubiquitous high-yield promoters such as CAG/CB7 or CMV drive high levels of expression in turtles; cell-type specific promoters such as hSyn (expression limited to neurons) and CaMKIIa (expression limited exclusively o mostly to excitatory neurons) appear similarly biased in turtles. Other cell-type specific promoters reported in the literature (fNPY, fPV, fSST) failed to express in turtles.
A second major aspect of my work focused on electrophysiological recordings using microelectrode arrays and the interpretation of extracellular signals recorded from cortex in ex vivo preparations. We observed that spike signals produced by pyramidal and inhibitory neurons were very often followed by a slower potential. We identified these slower potentials as reflections of synaptic currents, and thus of the axonal projections of the neurons, at least within the deep layers of cortex. This also resulted in a means to classify neurons as excitatory or inhibitory with much higher reliability than classical methods (e. g. spike width). The final aspect of my work concerns the use of optogenetics to dissect the mechanisms of cortical oscillations and wave propagation. I show that oscillations can be induced by light in turtle cortex after transfection with AAV2/1 carrying the gene for channelrhodopsin 2 (ChR2). By using the CaMKIIa promoter, ChR2 induced currents are limited to LII/III excitatory cells; we can therefore control excitatory drive to cortical networks. If this drive is strong enough, layer III inhibitory interneurons are recruited and fire in a concerted fashion, silencing the excitatory population. The visually evoked 20 Hz oscillations observed in chronically recorded animals (Schneider, 2015) or in anaesthetized animals (Fournier et al., in press) thus appear to result from a feedback loop between E and I cells within layers II & III. Details of these interactions are being investigated but - layer I interneurons, by contrast, do not seem to be involved. By pulsing light I could control the frequency of the oscillations within a range of several Hz around the natural oscillation frequency. Above this range, cortex could only follow the stimulus at a fraction (1/2, 1/3,...) of the light pulse frequency. Using a digital micromirror device, I limited activation of the cortical networks spatially, enabling the study of wave propagation in this system.
Reptilian cortex offers a relatively simple model system for a reductionist and comparative strategy on understanding cortical computations and dynamics. Turtle dorsal cortex could thus give fundamental insights to the primordial organization tional, computational and functional principles of cortical networks. These insights are relevant to our understanding of mammalian brains and may prove valuable to decipher fundamental questions of modern neuroscience.
Savannas provide essential ecosystem services for human well-being in West Africa. Thus, ecosystem change not only directly affects biodiversity but also human livelihoods. Human land use considerably shaped these savanna ecosystems for millennia, particularly agriculture, livestock grazing, logging and the collection of non-timber forest products (NTFPs). NTFPs are wild plant products and comprise all organic matter from herbaceous plants, shrubs, and trees (excluding timber). Current increasing land use pressure through fast demographic changes is widely esteemed as a severe threat for savanna biodiversity and the socio-economy of rural communities. In consideration of the pivotal role of NTFP species for biodiversity and livelihoods, it is important to evaluate the effect of increasing land use change on savanna vegetation and on its provisioning service for human well-being. Thus, the major aim of this thesis is to investigate the impacts of land use intensification on vegetation composition, diversity and function and its consequences for provisioning ecosystem services (NTFPs) and human well-being in a West African savanna.
The research for this study was conducted in the North Sudanian vegetation zone of south-eastern Burkina Faso, where population growth exceeds the nationwide trend. Generally, Burkina Faso belongs to the worldwide poorest countries, where nearly one quarter of the population suffers from malnutrition (FAO 2014). The integration of NTFPs and particularly wild food species into rural household economies is, thus, an important measure in the national combat against poverty and food insecurity (FAO 2014). Against this background, I focus on vegetation changes, the economic importance of NTFPs as well as the decrease and substitution of wild food species in this study.
Vegetation resurveys of different vegetation types since the early 1990s showed that land use change led to more pronounced changes in the herbaceous than in the woody vegetation layer. Most woody vegetation types stayed stable in species composition and richness, even though some highly useful tree species (Vitellaria paradoxa, Parkia biglobosa) declined in some woody vegetation types. In contrast, in most herbaceous vegetation types species richness increased and species composition considerably changed. This change might be explained by a general ruderalisation process through a pronounced increase of wide-ranging herbaceous species. However, in spite of a general species increase in the herbaceous layer, a decrease of preferred herbaceous fodder species was found. Thus, the decline of useful species in both layers is alarming. Herbaceous vegetation types also showed more pronounced changes in plant functional trait characteristics in comparison to woody vegetation types. However, an increase of smaller plant species and species with a high diaspore terminal velocity (VTerm) was found in both vegetation layers. Since these two trait responses are generally related to grazing and browsing, the strong increase of livestock herds is likely to be responsible for the detected vegetation changes.
In addition to the vegetation study, interviews showed that all useful food species were widely considered to decline. The two economically most important tree species, the shea tree (Vitellaria paradoxa) and the locust bean tree (Parkia biglobosa) that contribute with 70% to wild food income, were considered among the most declining species of all cited wild food species. On this matter, local perceptions of species decline and results from field observations are in accordance. However, a wide range of cited substitutes indicated a great knowledge on alternative plant species in the area. Most wild food species are, however, substituted by other highly valued wild food species. Although our results suggest that rural communities are able to cope with the decrease or absence of wild food species, growing decline of one species would concurrently increase the pressure on other native food species. Therefore, the need to counteract the decrease of highly useful wild food species should be of high priority in management measures. In general, I showed that NTFPs are an essential component in rural households, since it contributed with 45 % to total household income. Significant differences in NTFP dependency between the two investigated villages and across the three main ethnic groups were detected, reflecting different traditional uses and harvesting practices. In general, it was shown that poorer households depend more on NTFP income than wealthier households. Against the background of this study, management strategies for agroforestry systems and poverty alleviation should consider local differences, and ethnicity-dependent NTFP-use patterns.
Overall, the combination of field studies on temporal and functional vegetation change with socio-economic and ethno-botanic interviews increases the knowledge on qualitative and quantitative vegetation changes and on the consequences for rural populations. This thesis gives a thorough insight into decreasing trends of economically valued plant species and thus gives evidence on the consequences of vegetation changes for ecosystem services of West African savanna ecosystems. Further, different NTFP-dependencies and use preferences according to socio-economic and cultural variables, such as ethnicity, present a valuable basis for specific decision-making and should be considered in management plans.