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The main goal of this work is to contribute to the existing knowledge of soil micro-fungi in Panama and Germany. Studies about soil degradation and its influents in the soil fungi diversity have not been investigated as extensively in these countries. This is an extensive and challenging topic to examine since there is an immense phenotypic and genetic diversity in the soil fungal community and relating this community together with factors of soil degradation is an extensive task. For this reason, the present thesis studies the species identified in the study areas, in other words, the soil fungal diversity in relation to environmental factors in the Taunus Mountain range in Frankfurt, Germany, and in the Majagua valley in Chiriquí, Panama. Two complementary objectives were achieved, the first was the development of a theoretical irrigation model for degraded soils. The second was the development of a mobile application to facilitate laboratory work in the cultivation of soil micro-fungi.
The design of the methodology was based on identifying the species and relating the diversity found to soil factors. Soil samples were taken in both countries: the Taunus Mountain range was sampled eight times from January to November 2012 and the Majagua valley was sampled on three occasions between February and July 2012. In both studies, the areas included three different vegetation types (forest, grassland, and bare soil). Samples were separated for two purposes: the assessment of fungal diversity by molecular and morphological methods and soil characterization.
Soil samples used in the methodology of pyrosequencing were related to global climatic factors. Morphological identification was achieved with identification keys. Micro-fungi were cultivated in different media until obtaining pure cultures. Molecular identification was performed by getting the DNA sequences using the ITS1 and ITS4 primers and comparing the sequences with other reference sequences from GenBank. This was done considering the BLAST algorithm, which considered sequences that matched 98 % or more of maximum identity as reliable identifications.
Soil characterization was carried out to measure the soil's Physico-chemical properties; those abiotic factors were compaction, temperature, pH, moisture, and soil composition.
Species richness was calculated in each study area with the estimators Chao, Jackknife, and Bootstrap. Furthermore, the species accumulation curves were performed to observe the species discovery rate and estimate sample completeness. Estimate linear regression models correlated the influence between the soil factors (temperature, moisture, pH, soil compaction, and soil composition) and the species richness. In the same way, an analysis of ecological distance was undertaken based on the similarity in the species composition, compared across samples, and correlated with soil factors, using non-metric multidimensional scaling (NMDs).
Study of abundance showed differences between the bare soil abundances and the forest abundances in Germany and Panama; the grasslands in both countries work as transitional areas in the fungi abundance. The key stone species in Germany were Penicillium daleae, and Pochonia bulbillosa, whereas in Panama were Purpureocillium lilacinum and Trichoderma harzianum. Based on Pareto analysis, a theoretical irrigation model was developed to counteract the degradation effects on the abundance of micro-fungi in the soil.
Applications for mobile devices dealing with the cultivation of soil micro fungi were sought. Due to the small number of existing applications, a new App called Soil-Fungi-Cultures (SFC) was developed to facilitate data collection of cultivated soil micro fungi. App Inventor was the program used to design, program, test, and publish the application developed. The developed application was compared with other applications used in identifying bacteria cultures. The results showed that the new application needed more time to capture the records because it saves more information, the navigation flow was acceptable, the number of clicks was high, but it is due to the usefulness in data capture, and finally, the users rated it as a good application with an eight out of ten rating.
Pyrosequencing resulted in 204 Operational Taxonomic Units (OTUs) considering the two study areas (the Taunus Mountain range and the Majagua valley). The Pyrosequencing database was used to contribute to the most important study of fungal diversity globally based on OTUs, which surpasses any study of molecular and taxonomic diversity previously conducted. The principal result in this study was that the climatic factor is the best predictor of fungal richness and community composition on a global scale. However, the part of the research that focused on the local scale, that is to say, on the correlation patterns between the distribution of fungal species and abiotic factors, showed that the soil properties and degradation levels were not associated with fungal richness, diversity or soil composition in the study areas in Germany or Panama. The above confirms that there are exceptions to the way relationships between soil factors with fungal diversity are established at the local level.
In the case of soil samples used for morphological identification, 71 fungal species were obtained, 47 from Germany, and 32 from Panama.
RNA modification is a dynamic and complex process that involves the addition of various chemical groups to RNA molecules, contributing to their diversity and functional complexity. Among all the RNA modifications, N6-methyladenosine (m6A) is the most common post-transcriptional modification found in mRNA molecules, particularly in eukaryotic mRNA. It involves methylation of the adenosine base at the nitrogen-6 position. This modification plays a crucial role in many aspects of RNA metabolism, including splicing, stability, translation, and the cellular response to stress. With the development of m6A sequencing technologies, our knowledge of m6A has evolved rapidly over the past two decades. However, one of the most widely used m6A profiling techniques termed “m6A individual-nucleotide resolution UV cross-linking and immunoprecipitation (miCLIP)” suffers from a high unspecific background signal due to the limited antibody binding specificity.
To accurately discriminate m6A sites from the background signal in miCLIP data, in Chapter 4, I first developed different strategies to identify the true miCLIP2 signal changes that are corrected for the underlying transcript abundance changes. I performed this analysis on data that generated with an improved experiment protocol, named miCLIP2. With the best performing strategy, the Bin-based method, I detected more than 10,000 genuine m6A sites. I then used the information embedded in the genuine m6A sites to train a machine learning model - named "m6Aboost" - to enable accurate m6A site detection from the miCLIP2 data without a control dataset from an m6A depletion cell line. To allow an easy access for future users, I packaged the m6Aboost model into an R package that is available on Bioconductor.
Although previous studies have reported that m6A is involved in three different RNA decay pathways, it remains unclear how a pathway is selected for a specific transcript or m6A site. In Chapter 5, I reveal that m6A sites in the coding sequence (CDS) induce a stronger and faster RNA decay than the m6A sites in the 3’ untranslated region (3’UTR). Through an in-depth investigation, I found that m6A sites in CDS trigger a novel mRNA decay pathway, which I termed CDS-m6A decay (CMD). Importantly, CMD is distinct from the three previously reported m6A-mediated decay pathways. In terms of its mechanism, CMD relies on translation, where m6A sites in the CDS lead to ribosome pausing and subsequent destabilization of the transcript. The transcripts targeted by CMD are identified by the m6A reader protein YTHDF2, preferentially localized to processing bodies (P-bodies), and undergo degradation facilitated by the decapping factor DCP2. CMD provides a flexible way to control the expression of CDS m6A-containing transcripts which include many developmental regulators and retrogenes.
In summary, this PhD thesis introduces a novel workflow for identifying m6A sites in miCLIP data through the implementation of the m6Aboost machine learning model. Using the m6A sites identified by m6Aboost and additional data, a newly uncovered m6A-mediated mRNA decay pathway, CMD, is elucidated, providing valuable insights into m6A-mediated decay processes.
Terpene bilden mit mehr als 81.000 Verbindungen die größte Klasse der Naturstoffe. Nichtsdestotrotz wird ihre strukturelle Vielfalt durch die Isoprenregel begrenzt. Diese besagt, dass alle primären Terpensynthaseprodukte aus Bausteinen mit fünf Kohlenstoffatomen hervorgehen. Ihre Produkte sind somit kanonisch, da sie durch ein Vielfaches von fünf Kohlenstoffatomen dargestellt sind. In dieser kumulativen Arbeit wird die mikrobielle Produktion einer Vielzahl neuartiger nicht-kanonischer Terpene beschrieben und somit der chemische Strukturraum von Terpenoiden über die Grenzen der Isoprenregel hinaus erweitert. Um dies zu erreichen, wurden in verschiedenen Ansätzen die Gene des Mevalonatwege, einschließlich einer IPP-Isomerase gemeinsam mit verschiedenen Prenylpyrosphosphat-Methyltransferasen und Terpensynthasen in E. coli exprimiert und die Produktspektren der Biosynthesewege detailliert untersucht.
Ein breites Spektrum neuer C11-Terpene wurde als Nebenprodukt der bakteriellen 2-Methylisoborneol- oder 2-Methylenbornansynthasen entdeckt. Neben elf bekannten konnten 24 neuartige C11-Terpene nachgewiesen werden, die bisher noch nicht als Terpensynthase-Produkte beschrieben wurden. Vier davon, 3,4-Dimethylcumol, 2-Methylborneol und die beiden Diastereomere von 2-Methylcitronellol, konnten identifiziert werden. Außerdem wurde das C16-Terpen 6-Methylfarnesol als Produkt identifiziert.
Die Produktselektivität einer C11-Terpensynthasen, die 2 Methylenbornansynthase aus Pseudomonas fluorescens, wurde durch einen semirationalen Protein-Engineering-Ansatz verändert. Aminosäuren des aktiven Zentrums mit Einfluss auf die Produktselektivität wurden identifiziert. Entsprechende Varianten des Enzyms führen zu gänzlich veränderten Produktspektren. So wurden neue Einblicke in die Struktur-Funktions-Beziehung für C11-Terpensynthasen gewonnen und bisher unzugängliche nicht-kanonische Terpene produziert.
Eine IPP-Methyltranferase wurde identifiziert und charakterisiert, die den C5-Baustein der Terpenbiosynthese in eine Vielzahl von C6- und C7-Prenylpyrophosphate umwandelt. Die heterologe Expression in E. coli gemeinsam mit anderen Genen der Terpenbiosynthese erweitert das potenzielle Terpensynthase-Substratspektrum außerdem um C11-, C12-, C16- und C17 Prenylpyrosphopshate. Darüber hinaus konnten polymethylierte C41-, C42-und C43-Carotinoide synthetisiert werden. So wurde die Terpenbiosynthese durch die Modifikation ihrer Bausteine erweitert und neue ungewöhnliche Terpene produziert.
The attention on the protein PURA has increased recently following the discovery of the rare PURA Syndrome. This neurodevelopmental disorder is caused by de novo mutations in the PURA gene. Notably, our collaborators could show that the protein PURA can bind DNA and RNA in vitro. As a result, I was motivated to explore PURA's cellular RNAbinding activity. Furthermore, I inquired on the connection of PURA-RNA binding to the cellular effect of a reduction of functional PURA as present in PURA Syndrome patients.
To investigate the binding of PURA and the impact of PURA de ciency on cellular RNA and protein expression, I performed an integrative computational analysis of multimodal data from complementary high-throughput experiments. An essential component was the examination of UV Crosslinking and immunoprecipitation (CLIP) experiments, which can query the global RNA-binding behaviour of a given protein in a cellular context. As the processing and analysis of CLIP data are rather complex, I introduce an automated command line tool for the processing of CLIP data named racoon_clip as part of this dissertation. Therefore, this dissertation comprises two major segments. Firstly, I describe the implementation and usage of racoon clip for CLIP data analysis. Secondly, I discuss my research on the protein PURA, demonstrating its global RNA-binding properties, the effects of PURA depletion and its association with neuronal functions and P-bodies, among others.
racoon_clip is a command line application that I have developed for processing of individualnucleotide resolution CLIP (iCLIP) and enhanced CLIP (eCLIP) experiments - two of the most commonly used types of CLIP experiments - in a comparable and user-friendly way.
For this, I built racoon_clip as an automated work how that encompasses all CLIP processing steps from raw data to single-nucleotide resolution crosslink events. racoon_clip is available as a command line tool that users can run with a single command. The work how is implemented with Snakemake work how management providing computational advantage tages including parallelisation, scalability and portability of the work how. The main task of racoon_clip is to extract single-nucleotide crosslink events from iCLIP, iCLIP2, eCLIP and similar data types. To strike a balance between being highly customisable and easy to use, racoon_clip supplies pre-set options for the most common types of experiments.
Additionally, it is possible for users to create a custom setup of barcode and adapter architectures, which allows them to use the software for other types of CLIP data. While accounting for the different architectures in the reads, the performed central processing steps remain the same. This leads to a high degree of comparability between the different experiment types, which I demonstrate in the exemplary processing of U2AF2 iCLIP and eCLIP data. Taken together, I am confident that racoon_clip will be beneficial to numerous researchers interested in RNA-Protein interactions as it offers easily accessible processing for CLIP data and enhances the comparability of multiple CLIP datasets across di erent experiment types.
In the second part of this dissertation, I focus on the cellular function of the RNAbinding protein PURA. Through in-depth computational analysis of one iCLIP data set of endogenous PURA and two iCLIP data sets of overexpressed PURA in HeLa cells, I establish that PURA is a global RNA-binding protein. It preferentially binds RNAs in either the coding sequence (CDS) or the 3' untranslated region (3'UTR) of mature protein-coding transcripts by recognising a Purine-rich degenerated sequence motif. Even though overexpression of PURA results in less specific binding behaviour, the same overall binding patterns as from endogenous PURA persist. Overall characteristics of PURA binding remain similar in three distinct PURA iCLIP data sets with and without PURA overexpression.
To learn about the molecular consequences of a depletion of functional PURA in a cellular context, I used a 50% reduction of PURA in HeLa cells as a model for the heterozygous loss of PURA in PURA Syndrome and evaluated its impact on global RNA and protein expression. The results demonstrate that PURA depletion globally a ects RNA and protein expression. Additionally, I integrate PURA RNA binding with the changes in expression of RNAs and proteins in the context of PURA depletion. This reveals 234 targets of PURA that are bound by PURA and are impacted at both RNA and protein levels by the PURA protein. RNAs that are bound by PURA or change in abundance upon PURA depletion are enriched in neuronal development factors, RNA lifecycle regulators, and mitochondrial factors, among others. Consistent with a possible role of PURA in neuronal transport, there is considerable overlap between PURA bound transcripts and transcripts, that are transported to the dendritic end of neurons.
Notably, there is a link between PURA and P-bodies, as documented by the enrichment of PURA-bound RNAs in both the P-body and stress granule transcriptome. Further, PURA was found by our collaborators to be localised within P-bodies and P-body numbers were strongly reduced in cells that are depleted of PURA. This absence might be attributed to the downregulation of the proteins encoded by the PURA targets LSM14A and DDX6 as both of them were previously identified as essential for P-body formation.
Overall, the reduction of P-body numbers in PURA depletion, the neuronal function of PURA, and its association with mitochondria and RNA lifecycle regulation may indicate the cellular foundation of both PURA Syndrome and related neuronal diseases.
In summary, I present a versatile and user-friendly computational tool for the analysis of CLIP data. Subsequently, I conduct a thorough computational analysis of CLIP and other high-throughput data in the context of the RNA-binding protein PURA, which offers valuable insights into the cellular functions of PURA. These insights advance our understanding of the impact of PURA loss in PURA Syndrome and other disease contexts.
Exploring strategies to improve the reverse beta-oxidation pathway in Saccharomyces cerevisiae
(2024)
Microbes are the most diverse living organisms on Earth, with various metabolic adaptations that allow them to live in different conditions and produce compounds with different chemical complexity. Microbial biotechnology exploits the metabolic diversity of microorganisms to manufacture products for different industries. Today, the chemical industry is a significant energy consumer and carbon dioxide emitter, with processes that harm natural ecosystems, like the extraction of medium-chain fatty acids (MCFAs). MCFAs are used as precursors for biofuels, volatile esters, surfactants, or polymers in materials with enhanced properties.
However, their current extraction process uses large, non-sustainable monocultures of coconut and palm trees. Therefore, the microbial production of MCFAs can help reduce the current environmental impact of obtaining these products and their derivatives.
In nature, fatty acids are mostly produced via fatty acid biosynthesis (FAB). However, the reverse β-oxidation (rBOX) is a more energy-efficient pathway compared to FAB. The rBOX pathway consists of four reactions, which result in the elongation of an acyl-CoA molecule by two carbon units from acetyl-CoA in each cycle. In this work we used Saccharomyces cerevisiae, an organism with a high tolerance towards toxic compounds, as the expression host of the rBOX pathway to produce MCFAs and medium-chain fatty alcohols (MCFOHs).
In the first part of this work, we expanded the length of the products from expressing the rBOX in the cytosol and increased the MCFAs titres. First, we deleted the major glycerol-3-phosphate dehydrogenase (GPD2). This resulted in a platform strain with significantly reduced glycerol fermentation and increased rBOX pathway activity, probably due to an increased availability of NADH. Then, we tested different combinations of rBOX enzymes to increase the length and titres of MCFA. Expressing the thiolase CnbktB and β-hydroxyacyl-CoA dehydrogenase CnpaaH1 from Cupriavidus necator, Cacrt from Clostridium acetobutylicum and the trans-enoyl-CoA reductase Tdter (Treponema denticola) resulted in hexanoic acid as the main product.
Expressing Cncrt2 (C. necator) or YlECH (Y. lipolytica) as enoyl-CoA hydratases resulted in octanoic acid as the main product. Then, we integrated the octanoic (Cncrt2 or YlECH) and the hexanoic acid (Cacrt)-producing variants in the genome of the platform strain and we achieved titers of ≈75 mg/L (hexanoic acid) and ≈ 60 mg/L (octanoic acid) when growing these strains in a complex, highly buffered medium. These are the highest titers of octanoic and hexanoic acid obtained in S. cerevisiae with the rBOX. Additionally, we deleted TES1 and FAA2 to prevent competition for butyryl-CoA and degradation of the produced fatty acids, respectively.
However, these deletions did not improve MCFA titers. In addition, we tested two dual acyl-CoA reductase/alcohol dehydrogenases (ACR/ADH), CaadhE2 from C. acetobutylicum and the putative ACR/ADH EceutE from Escherichia coli, in an octanoyl-CoA-producing strain to produce MCFOH. As a result, we produced 1-hexanol and 1-octanol for the first time in S. cerevisiae with these two enzymes. Nonetheless, the titres were low (<10 mg/L and <2 mg/L, respectively), and four-carbon 1-butanol was the main product in both cases (>80 mg/L). This showed the preference of these two enzymes for butyryl-CoA.
In the second part of this work, we expressed the rBOX in the mitochondria of S. cerevisiae to benefit from the high levels of acetyl-CoA and the reducing environment in that organelle. First, in an adh-deficient strain, we mutated MTH1, a transcription factor regulating the expression of hexose transporters, and deleted GPD2. This resulted in a strain with a reduced Crabtree effect and, therefore, an increased carbon flux to the mitochondria. We partially validated the increased flux to the mitochondria by expressing the ethanol-acetyltransferase EAT1 from Kluyveromyces marxianus in this organelle. This resulted in a higher isoamyl acetate production in the MTH1-mutant strain. Isoamyl acetate is synthesised by Eat1 from acetyl-CoA and isoamyl alcohol, a product of the metabolism of amino acids in the mitochondria. Then, we targeted different butyryl-CoA-producing rBOX variants to the mitochondria, and we used the production of 1-butanol and butyric acid as a proof-of-concept. The strong expression of all the enzymes was toxic for the cell, and the highest butyric acid titres (≈ 50 mg/L) in the mitochondria from the rBOX were obtained from the weak expression of the pathway. The highest 1-butanol titers (≈ 5 mg/L) were obtained with the downregulation of the mitochondrial NADH-oxidase NDI1. However, this downregulation led to a non-desirable petite phenotype.
In summary, we produced hexanoic and octanoic acid for the first time in S. cerevisiae using the rBOX and achieved the highest reported titers of hexanoic and octanoic acid so far using this pathway in S. cerevisiae. In addition, we successfully compartmentalised the rBOX in the mitochondria. However, competing reactions, some of them essential for the viability of the cell, limit the use of this organelle for the rBOX.
Neurodevelopmental psychiatric disorders (NPDs) like attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and schizophrenia, affect millions of people worldwide. Despite recent progress in NPD research, much remains to be discovered about their underpinnings, therapeutic targets, effects of biological sex and age. Risk factors influencing brain development and signalling include prenatal inflammation and genetic variation. This dissertation aimed to build upon these findings by combining behavioural, molecular, and neuromorphological investigations in mouse models of such risk factors, i.e. maternal immune activation (MIA), neuron-specific overexpression (OE) of the cytoplasmatic isoforms of the RNA-binding protein RBFOX1, and neuronal deletion of the small Ras GTPase DIRAS2.
Maternal infections during pregnancy pose an increased risk for NPDs in the offspring. While viral-like MIA has been previously established elsewhere, this study was the first in our institution to implement the model. I validated NPD-relevant deficits in anxiety- and depression-like behaviours, as well as dose- and sex-specific social deficits in mouse offspring following MIA in early gestation. Proteomic analyses in embryonic and adult hippocampal (HPC) synaptoneurosomes highlighted novel and known targets affected by MIA. Analysis of the embryonic dataset implicated neurodevelopmental disruptions of the lipid, polysaccharide, and glycoprotein metabolism, important for proper membrane function, signalling, and myelination, for NPD-pertinent sequelae. In adulthood, the observed changes encompassed transmembrane trafficking and intracellular signalling, apoptosis, and cytoskeletal organisation pathways. Importantly, 50 proteins altered by MIA in embryonic and adult HPC were enriched in the NPD-relevant synaptic vesicle cycle. A persistently upregulated protein cluster formed a functional network involved in presynaptic signalling and proteins downregulated in embryos but upregulated in adults by MIA were correlated with observed social deficits. 49/50 genes encoding these proteins were significantly associated with NPD- and comorbidity-relevant traits in human phenome-wise association study data for psychiatric phenotypes. These findings highlight NPD-relevant targets for future study and early intervention in at-risk individuals. MIA-evoked changes in the neuroarchitecture of the NPD-relevant HPC and prefrontal cortex (PFC) of male and female mice highlighted sex- and region-specific alterations in dendritic and spine morphology, possibly underlining behavioural phenotypes.
To further investigate genetic risk factors of NPDs, I performed a study based on the implications of RBFOX1’s pleiotropic role in neuropsychiatric disorders and previous preclinical findings. Cytoplasmatic OE of RBFOX1, which affects the stability and translation of thousands of targets, was used to disseminate its role in morphology and behaviour. RBFOX1 OE affected dendritic length and branching in the male PFC and led to spine alterations in both PFC and HPC. Due to previously observed ASD-like endophenotypes in our Rbfox1 KO mice and the importance of gene × environment effects on NPD susceptibility, I probed the interaction of cytoplasmatic OE and a low-dose MIA on offspring. Both RBFOX1 OE alone and with MIA led to increased offspring loss during the perinatal period. Preliminary data suggested that RBFOX1 OE × MIA might increase anxiety- and anhedonia-like behaviours. Morphological changes in the adult male OE HPC and PFC suggested increased spine density and reduced dendritic complexity. A small post-mortem study in human dorsolateral PFC of older adults did not reveal significant effects of a common risk variant on RBFOX1 abundance.
To expand upon NPD genetic risks, I evaluated the effects of a homo- (KO) or heterozygous (HET) Diras2 deletion in a novel, neuron-specific mouse model. DIRAS2’s function is largely unknown, but it has been associated with ADHD in humans and neurodevelopment in vitro. In adult mice, there were subtle sex-specific effects on behaviour, i.e. more pronounced NPD-relevant deficits in males, in keeping with human data. KO mice had subtly improved cognitive performance, while HET mice exhibited behaviours in line with core ADHD symptoms, e.g. earning difficulties (females), response inhibition deficits and hyperactivity (males), suggesting Diras2 dose-sensitivity and sex-specificity. The morphological findings revealed multiple aberrations in dendritic and spine morphology in the adult PFC, HPC, and amygdala of HET males. KOs changes in spine and dendritic morphology were exclusively in the PFC and largely opposite to those in HETs and NPD-like phenotypes. Region- and genotype-specific expression changes in Diras2 and Diras1 were observed in six relevant brain regions of adult HET and KO females, also revealing differences in the survival and morphology regulator mTOR, which might underlie observed differences.
In conclusion, the effects of MIA and partial Diras2 knockdown resembled each other in core, NPD-associated behavioural and morphological phenotypes, while cytoplasmatic RBFOX1 OE and full Diras2 KO differed from those. My findings suggest complex dose- and sex-dependent relationships between these prenatal and genetic interventions, whose NPD-relevant influences might converge onto neurodevelopmental molecular pathways. An assessment of such putative overlap, based on available data from the MIA proteomic analyses of embryonic and adult HPC, suggested the three models might be linked via downstream targets, interactions, and upstream regulators. Future studies should disseminate both distinct and shared aspects of MIA, RBFOX1, and DIRAS2 relevant to NPDs and build upon these findings.
How the brain evolved remains a mystery. The goal of this thesis is to understand the fundamental processes that are behind the evolutionary history of the brain. Amniotes appeared 320 million years ago with the transition from water to land. This early group bifurcated into sauropsids (reptiles and birds) and synapsids (mammals). Amniote brains evolved separately and display obvious structural and functional differences. Although those differences reflect brain diversification, all amniote brains share a common ancestor and their brains show multiple derived similarities: equivalent structures, networks, circuits and cell types have been preserved during millions of years. Finding these differences and similarities will help us understand brain historical evolution and function. Studying brain evolution can be approached from various levels, including brain structure, circuits, cell types, and genes. We propose a focus on cell types for a more comprehensive understanding of brain evolution. Neurons are the basic building blocks and the most diverse cell types in the brain. Their evolution reflects changes in the developmental processes that produce them, which in turn may shape the neural circuits they belong to. However, there is currently a lack of a unified criteria for studying the homology of connectivity and development between neurons. A neuron’s transcriptome is a molecular representation of its identity, connectivity, and developmental/evolutionary history. Hence the comparison of neuronal transcriptomes within and across species is a new and transformative development in the study of brain evolution. As an alternative, comparing neuronal transcriptomes across different species can provide insights into the evolution of the brain. We propose that comparing transcriptomes can be a way to fill this gap and unify these criteria. In previous studies, published in Science (Tosches et al., 2018) and Nature (Norimoto et al., 2020), we leveraged scRNAseq in reptiles to re-evaluate the origins and evolution of the mammalian cerebral cortex and claustrum. Motivated by the success of this approach, in this thesis we have now expanded single-cell profiling to the entire brain of a lizard species, the Australian dragon Pogona vitticeps, with a special focus in thalamus and prethalamus of. This approach allowed us to study the evolution of neuron types in amniotes. Therefore, we aimed to build a multilevel atlas of the lizard brain based on histology and transcriptomic and compare it to an equal mouse dataset (Zeisel et al., 2018).
Our atlas reveals a general structure that is consistent with that for other amniote brains, allowing us to make a direct comparison between lizard and mouse, despite their evolutionary divergence 320 million years ago. Through our analysis of the transcriptomes present in various neuron types, we have uncovered a core of conserved classes and discovered a fascinating dichotomy of new and conserved neuron types throughout the brain. This research challenges the traditional notion that certain brain regions are more conserved than others.
Our research also has uncovered the evolutionary history of the lizard thalamus and prethalamus by comparing them to homologous brain regions of the mouse. This pioneering research sheds new light on our understanding of the evolutionary history of the lizard brain. We propose a new classification of the lizard thalamic nuclei based on
transcriptomics. Our research revealed that the thalamic neuron types in lizards can be grouped into two large, conserved categories from the medial to lateral thalamus. These categories are encoded by a common set of effector genes, linking theories based on connectivity and molecular studies of these areas. In our data we have seen that there is a conservation of the medial-lateral transcriptomic axis in mouse and lizard, this conservation was most likely already present in the common ancestor. Although there is a shared medial-lateral axis, a deeper study of the thalamic cell types has allowed us to see the existence of a partial diversification of the thalamic population, specifically in the sensory-related lateral thalamus; in opposition, the medial thalamic nuclei neuron-types have been preserved.
On the other hand, the comparison with the mammalian prethalamus allowed us to confirm that the lizard ventromedial thalamic neuron types are homologous to mouse reticular thalamic neuron types (Díaz et al., 1994), even if they do not express the classical Reticular thalamic nucleus (RTn) marker PV/pvalb. We also discovered that there has been a simplification in the mammalian prethalamic neuron types in favor of an increase in the number of Interneurons (IN) types within their thalamus. We suggest that the loss of GABAergic neuronal types in the mammalian prethalamus is linked to the need for a more efficient control of the thalamo-pallial communication in mammals, while in lizards, where thalamo-pallial communication is probably simpler, the diversity prethalamus presents a higher diversity.
The prefrontal cortex (PFC) is considered the cognitive center of the mammalian brain. It is involved in a variety of cognitive functions such as decision making, working memory, goal-directed behavior, processing of emotions, flexible action selection, attention, and others (Fuster, 2015). In rodents, these functions are associated with the medial prefrontal cortex (mPFC). Experiments in mice and rats have shown that neurons in the mPFC are necessary for successful performance of many cognitive tasks. Moreover, measurements of neural activity in the mPFC show excitation or inhibition in different cells in relation to specific aspects of the tasks to be solved. To date, however, it is largely unknown whether prefrontal neurons are stably activated during the same behaviors within a task and whether similar aspects are represented by the same neurons in different tasks. In addition, it is unclear how specifically neurons are activated, for example, whether cells that are activated in response to reward are activated in a different task without reward in a different situation or remain inactive. To address these questions, we recorded the same neurons in the mPFC of mice over the course of several weeks while the animals performed various behaviors.
To do this, we expressed GCaMP6 in pyramidal neurons in the mPFC of mice. A small lens was implanted in the same location and a miniature microscope ("miniscope") was used to record neural activity. Later the extracted neurons got aligned based on their shape and position across multiple days and sessions. The mice performed five different behavioral tests while neural activity was measured: A spatial working memory test in a T-maze, exploration of the elevated plus maze (EPM), a novel object recognition (NO) test including free open field (OF) exploration, a social interaction (SI) test and discriminatory auditory fear conditioning (FC). Each task was repeated at least twice to check for stable task encoding across sessions. Behavioral performance and neural correlates to specific task events were similar to earlier studies across all tasks. We utilized generalized linear models (GLM) to determine which behavioral variables most strongly influence neural activity in the mPFC. The position of the mouse in the environment was found to explain most of the variance in neural activity, together with movement speed they were the strongest predictors of neural activity across all tasks. Reward time points in the working memory test, the conditioned stimulus after fear conditioning, or head direction in general were also strongly encoded in the mPFC.
Many of the recorded neurons showed a stable spatial activity profile across multiple sessions of the same task. Similarly, cells that coded for position in one task tended to code for position in other tasks. Not only did the same cells code for position across multiple tasks, but cells also coded for movement speed and head direction. This indicates that at least these general behavioral variables are each represented by the same neurons in the mPFC. Interestingly, the stability of position or speed coding did not depend on the time between two sessions, but only on whether it was within the same or across different tasks. Within the same task, stability was slightly higher than across different tasks.
To find out whether task-specific behavioral aspects were also stably encoded in the mPFC, difference scores as the difference in neural activity between two task aspects like left- and right-choice trials or exposed and enclosed locations were calculated. Many cells encoded these aspects stably across different sessions of each task. Both the left-right differences in the different phases of the working memory test, the open-closed-arm differences in the elevated plus maze, the different activity between center and corners in the open field, the social target-object differences in the social interaction test, and the differences between the two tones during fear conditioning were all stably encoded across the population of mPFC cells. Only the distinction between the novel and the familiar object during object recognition was not stably encoded, but also the preference for the novel object was not present in the second session of novel object exploration.
There was also an overlap in coding for different aspects within a task across multiple sessions. For example, cells stably encoded left-right differences in the T-maze between different sessions as a function of walking direction across different phases of working memory, an aspect that we could already show within one session (Vogel, Hahn et al., 2022). During fear conditioning, the same cells showed a discrimination between CS+ and CS- that also responded to the start of CS+.
Consistency in the neurons activity across different tasks was also found, but only between tasks with similar demands, the elevated plus-maze and free exploration of the open field. Cells that were more active in the open arms also showed more activity in the center of the open field and vice versa. This could be an indicator that the cells were coding for anxiety or exposure across those tasks, indicating that neurons in the mPFC also stably encode general task aspects independent of the specific environment. However, it remains unclear what exactly these neurons encode; in the case of a general fear signal, one would also expect activation during fear conditioning which could not be found.
Overall, we found that neurons in the mPFC of mice encoded multiple general behavioral variables across multiple tasks and task-specific variables were encoded stably within each of the tested tasks. However, we found little task-specific variables that were systematically encoded by the same neurons with the exception being the elevated plus-maze and open field exploration, two tasks with similar features.
Precise regulation of gene expression networks is required to develop and maintain a healthy organism before and after birth and throughout adulthood. Such networks are mostly comprised of regulatory proteins, but meanwhile many long non-coding transcripts (lncRNAs) are shown to participate in these regulatory processes. The functions and mechanisms of these lncRNAs vary greatly, however they are often associated with transcriptional regulation. Three lncRNAs, namely Sweetheart RNA (Swhtr), Fetal-lethal noncoding developmental regulatory RNA / Foxf1 adjacent non-Coding developmental regulatory RNA (Fendrr) and lncFsd2, were studied in this work to demonstrate the variety of cellular and biological processes that require lncRNA-mediated fine-tuning, in regard to the cardiopulmonary system.
Swhtr was found to be expressed exclusively in cardiomyocytes and became critical for regeneration after myocardial injury. Mice lacking Swhtr did not show issues under normal conditions, but failed to undergo compensatory hypertrophic remodeling after injury, leading to increased mortality. This effect was rescued by re-expressing Swhtr, demonstrating importance of the RNA. Genes dependent on Swhtr during cardiac stress were found to likely be regulated by NKX2-5 through physical interaction with Swhtr. Fendrr was found to be expressed in lung and interacted with target promoters through its RNA:dsDNA binding domain, the FendrrBox, which was partially required for Fendrr function. Fendrr, together with activated WNT signaling, regulated fibrosis related target genes via the FendrrBox in fibroblasts. LncFsd2, an ubiquitously expressed lncRNA, showed possible interaction with the striated muscle specific Fsd2, but its exact function and regulatory role remain unclear in muscle physiology. Immunoprecipitation and subcellular fractionation experiments suggest that lncFsd2 might be involved in nuclear retention of Fsd2 mRNA, thus fine-tuning FSD2 protein expression. These investigations have shed light on the roles of these lncRNAs in stress responses, fibrosis-related gene regulation, and localization processes, advancing our understanding of cardiovascular and pulmonary maintenance, reaction to injury, and diseases. The diverse and intricate roles of these three lncRNAs highlight how they influence various cellular processes and disease states, offering avenues for exploring lncRNA functions in different biological contexts.
Anthropogenic activities have a major impact on our planet and rapidly drive biodiversity loss in ecosystems at a global scale. Particularly over the last century, rising CO2 emissions significantly raised global temperatures and increased the intensity and frequency of droughts and heatwaves. Additionally, agricultural land use and fossil fuel combustion contribute to the continuous release of nitrogen (N) and phosphorus (P) into ecosystems worldwide through extensive fertilization and deposition from the atmosphere. It is important to understand how these rapid changes affect the evolution of plant populations and their adaptive potential. Adaptation by natural selection (i.e., adaptive evolution) within a few generations is an essential process as a response to rapid environmental changes. Rapid evolution of plant populations can be detected by using the so-called resurrection approach. Here, diaspores (i.e., seeds) from a population are collected before (ancestors) and after (descendants) a potential selection pressure (e.g., consecutive years of drought or changes in nutrient supply). Comparing phenotypes of ancestors and descendants in a common environment such as an outside garden, greenhouse, or climate chamber, may then reveal evolutionary changes. Ideally, plants are first grown in a common environment for an intermediate refresher generation to reduce parental and storage effects.
The aim of this thesis was to investigate the occurrence of adaptive evolution in natural plant populations in response to rapidly changing environments over the past three decades. I conducted three experiments using the resurrection approach to generate comprehensive data on the adaptive processes that acted on three plant populations from three different species over the last three decades. Furthermore, I filled knowledge gaps in plant evolutionary ecology and conceptually developed the resurrection approach further.
In Chapter I, I performed a novel approach by testing for adaptive evolution in natural plant populations using the resurrection approach in combination with in-situ transplantations. I cultivated seedlings from ancestors (23 – 26 years old) and contemporary descendants of three perennial species (Melica ciliata, Leontodon hispidus and Clinopodium vulgare) from calcareous grasslands in the greenhouse and In Chapter III, I assessed the reproducibility of phenotypic differences between genotypes among three different growth facilities (climate chamber, greenhouse, and outdoor garden). I also evaluated differences in phenotypic expression between plants grown after one vs. two intermediate generations (i.e., refresher generations). I performed this experiment within the framework of the resurrection approach and compared ancestors and descendants of the same population of Leontodon hispidus.
I observed very strong differences among plants growing in the different growth facilities. I found a significant interaction between the growth facility and the temporal origin (ancestors vs. descendants): descendants had significantly larger rosettes than ancestors only in the greenhouse and they flowered significantly later than ancestors exclusively in the climate chamber. I did not find significant differences between intermediate generations within the growth facilities. Overall, Chapter III shows that the use of a particular experimental system can dictate the presence and magnitude of phenotypic differences. This implies that absence of evidence is not evidence of absence when it comes to investigating genetically based trait differentiation among plant origins (in space or time). Experimental systems should be carefully designed to provide meaningful conditions, ideally mimicking the environmental conditions of the population’s origins. Finally, growing a second intermediate generation did not impact the genetic differences of ancestors and descendants within the environments, supporting the idea that only one intermediate generation may be sufficient to reduce detectable parental and storage effects.
The resurrection approach allows a better understanding of rapid plant adaptation, but some limitations deserve to be highlighted. I only studied one population per species, and Chapters II and III only focus on one population of L. hispidus, which is also hampering generalizations, as adaptive potential can vary greatly among populations of the same species. I only compared the ancestral genotypes to one descendant sample with a long time span in between (26 – 28 years), which makes it hard to pinpoint the selection agents that caused the genetic differentiation among the sampling years. Hence, closely monitoring biotic and abiotic factors of the studied populations between the ancestral and descendant sampling in future studies, would make identifying the responsible selection pressures more precise. I also recommend sampling multiple populations over consecutive years to improve the robustness of results and make generalizations more approachable.Furthermore, combining the resurrection approach with other methods such as in-situ transplantations will be valuable to offset the limitation that adaptations cannot be proven under artificial conditions (e.g., in the greenhouse).
The nucleus reuniens drives hippocampal goal‑directed trajectory sequences for route planning
(2023)
Goal-directed spatial navigation requires accurate estimates of one’s position and destination, as well as careful planning of a route between them to avoid known obstacles in the environment. Despite its general importance across species, the neural circuitry supporting the ability for route planning remains largely unclear. Previous studies described that place cells in the hippocampal CA1 encode the animal's next movement direction (Wood et al., 2000; Ito et al., 2015) and upcoming navigational routes (Pfeiffer & Foster, 2013). However, it has been shown that part of the CA1 activity representing the animal’s future behaviors is not necessarily generated in the hippocampus, but is derived from the medial prefrontal cortex (PFC) via the nucleus reuniens of the thalamus (RE) (Ito et al., 2015). Notably, the importance of the PFC in navigation has been demonstrated in several studies, including the recent finding of a goal map in the orbitofrontal cortex (Basu et al., 2021). Therefore, I hypothesized that information flow from the PFC to CA1 via the RE plays a key role in route planning.
To assess the animals' route planning ability, I designed a new navigation task in which a rat has to navigate to a fixed target location from various starting positions in an arena. Furthermore, by adding an L-shaped wall in the maze and removing all light sources in the experimental room, this task forced the animals to plan a wall-avoiding route without relying on direct sensory perceptions. I confirmed that rats could learn this task successfully, memorizing the wall location and taking a smooth wall-avoidance route. To test the role of the RE, I inactivated RE neurons by expressing the inhibitory opsin SwiChR++, which resulted in a significant deficit in the animal’s route planning ability, taking a longer non-smooth path to the destination. By contrast, this manipulation did not affect navigation performance when a straight goal-directed route was available, suggesting a specific role of the RE in route planning. I further found that DREADDs-mediated inactivation of neurons in the bilateral hippocampi resulted in a similar deficit in route planning ability, implying cooperation between the RE and the hippocampus.
I finally examined the activity of hippocampal CA1 neurons with and without RE inactivation. While neurons in the hippocampus exhibited brief trajectory sequences corresponding to the animal’s subsequent goal-directed journey, I found that this goal-directed bias of trajectory events was significantly reduced by RE inactivation, likely associated with route-planning deficits in these animals.
Altogether, this dissertation demonstrates the role of the RE from both behavioral and neural coding perspectives, identifying a pivotal circuit element supporting the animal’s route-planning ability.
Biotechnological processes offer better production conditions for a wide variety of goods of industrial interest. The production of aromatic compounds, for example, involves molecules of great value for cosmetic, plastic, agrochemical and pharmaceutic industries. However, the yield of such processes frequently prevents a proper implementtation that would allow the replacement of traditional production processes.
Numerous rational engineering approaches have been attempted to enhance metabolic pathways associated with desired products. Unfortunately, genetic modifications and heterologous pathway expression often lead to a higher metabolic burden on the producing organisms, ultimately leading to reduced production levels and fitness.
This project utilised adaptive laboratory evolution to better understand the development of synthetic cooperative consortia, using S. cerevisiae as a model organism. Specifically, a synthetic cooperative consortium was developed around the exchange of lysine and tyrosine, which was subjected to adaptive laboratory evolution aiming to induce mutations that would improve the system’s fitness either by enhanced production or upgraded stress resistance. Consequently, the mutant strains isolated after the evolution rounds were sequenced to identify relevant variations that could be related to the growth and production phenotypes observed.
The insights derived from this project are expected to contribute to further developing synthetic cooperative consortia with utilitarian purposes.
Hyperparasitic fungi on black mildews (Meliolales, Ascomycota) : hidden diversity in the tropics
(2023)
Meliolales (Sordariomycetes, Ascomycota) is a group of obligate plant parasitic microfungi mainly distributed in the tropics and subtropics. Meliolalean fungi are commonly known as “black mildews”, as they form black, superficial hyphae on the surface of vegetative and reproductive organs of vascular plants. They are considered biotrophic parasites, and the infections caused by black mildews can lead to a decrease in the photosynthetic activity of plants, as well as to an increase in the temperature and respiration rate of their leaves.
Meliolales are frequently parasitized by hyperparasitic fungi, i.e., parasitic fungi that have parasitic hosts. These hyperparasites are all Ascomycota and belong mainly to the Dothideomycetes and Sordariomycetes. Although hyperparasites represent a megadiverse group, species were only described by morphology until 1980, and the systematic position of more than 60 % of known species is still unclear. In addition, there are no DNA reference sequences available in public databases for any of the species of hyperparasites of Meliolales, and no ecological studies have been done up to now.
Before this study, no exact number of hyperparasitic fungi growing on colonies of black mildews existed. Here, we present a checklist including 189 species of fungi known to be hyperparasitic on Meliolales, but the number of existing species is likely to be even higher. The elaboration of this species checklist laid the foundations for this investigation, as it helped to understand the present state of knowledge of hyperparasitic fungi on Meliolales worldwide.
For the present study, fresh specimens of leaves infected with colonies of Meliolales and hyperparasites were opportunistically collected at 32 collection sites in Western Panama and Benin, West Africa, in 2020 and 2022, respectively. In total, 100 samples of plant specimens infected with black mildews were collected, of which 58 samples were parasitized by hyperparasitic fungi. 31 species and morphospecies of hyperparasitic fungi were identified. In addition, 35 historical specimens, including 12 type specimens, were examined for the present work.
DNA of hyperparasitic fungi was isolated directly from conidia, synnemata, apothecia, perithecia or pseudothecia of fresh and dried specimens. The main challenges faced by scientists in doing molecular studies of hyperparasitic fungi are related to the fact that the hyperparasitic fungi are intermingled with tissues of the meliolalean hosts and other organisms present in a given sample. This makes the isolation of DNA exclusively from the hyperparasite difficult. Moreover, hyperparasitic fungi on Meliolales are biotrophs and cannot be grown axenically. The hosts themselves are also biotrophic, further complicating DNA isolation from either partner. These factors have contributed to a lack of reference sequences in public databases. After more than 100 attempts, DNA of 20 specimens of hyperparasitic fungi, representing seven species, has been isolated in the context of the present investigation. Three partial nuclear gene regions were amplified and sequenced: nrLSU, nrSSU and nrITS. The datasets were assembled for phylogenetic analyses applying Maximum Likelihood (ML) and Bayesian inference (BI) methods. DNA sequences of hyperparasitic fungi on Meliolales were generated for the first time in the context of the present investigation.
Hyperparasitic fungi on Meliolales do not represent a single systematic group, but a polyphyletic ecological guild of fungi. Because of this huge diversity, only the systematics of species of perithecioid hyperparasites, as well as of the species of the genera Atractilina and Spiropes known to be hyperparasitic on black mildews was discussed in this thesis, as they represented the most common groups of fungi found in Benin and Panama. The results indicated, for example, the systematic position of Dimerosporiella cephalosporii and Paranectriella minuta in the Sordariomycetes and Dothideomycetes, respectively. In addition, the first record of a hyperparasitic fungus of black mildews in the Lecanoromycetes, namely Calloriopsis herpotricha, is reported here. The systematics of Atractilina parasitica and of some species of Spiropes is also discussed here.
In the context of the present investigation, four species new to science were described. They are presented with detailed descriptions, photos and scientific illustrations. Taxonomic studies of this thesis also generated seven new synonyms, nine new records for Benin, seven for Panama, one for Africa and two for mainland America, as well as the confirmation of one anamorph-teleomorph connection by molecular sequence data.
The ecology of hyperparasitic fungi on Meliolales is complex and far from being completely understood. The hypothesis of host specificity between hyperparasitic fungi, their meliolalean hosts and their plant hosts was tested for the first time, through a tritrophic network analysis. Results indicate that hyperparasites of Meliolales are generalists concerning genera of Meliolales, but apparently specialists at the level of order. In addition, hyperparasitic fungi tend to be found alongside their meliolalean hosts, suggesting a pantropical distribution.
Discrepancies between knockdown and knockout animal model phenotypes have long stood as a perplexing phenomenon. Several mechanisms explaining such observations have been proposed, namely the toxicity or the off-target effects of the knockdown reagents, as well as, in certain cases, genetic robustness – an organism's ability to maintain its phenotype despite genetic perturbations. In addition to these explanations, transcriptional adaptation (TA), a phenomenon defined as an event whereby a mutation in one gene leads to transcriptional upregulation or downregulation of another, adapting, gene or genes expression, has been recently proposed as an alternative explanation for the conflicting knockdown and knockout phenotype paradox.
Since its discovery in 2015, TA's precise mechanism remains a subject of ongoing research. Majority of evidence suggests that mutant mRNA degradation plays a central in TA. Epigenetic remodeling is also thought to play a role, as evidenced by an increase in active histone marks at the transcription start sites of the adapting genes. Whether mRNA degradation is indeed the key player in TA remains debated. Furthermore, it is still unknown how exactly TA develops, what adapting genes it targets, and whether genomic mutations that render mutant mRNA sensitive to degradation are required for TA to occur.
Throughout the experiments described in this Dissertation, I have designed an inducible TA system where TA can be triggered on demand and its effects on the cell’s transcriptome followed through time. I have demonstrated that degradation-prone transgenes, once induced and expressed, can be efficiently degraded, resulting in the protein loss-independent upregulation of adapting genes via TA. Adapting genes with higher degree of sequence similarity become upregulated faster than genes with lower degree of sequence similarity. Further functionality of this approach to study TA is limited by the leakiness of the inducible gene expression system; however, constitutively expressed degradation-prone transgenes were used to demonstrate TA in human cells.
In addition, I have developed an approach to target wild-type cytoplasmic mRNAs without altering the cell’s genome and reported a TA-like phenomenon, which manifested as adapting gene upregulation not relying on mutations in other genes. Cytoplasmic mRNA cleavage with CRISPR-Cas13d triggered a TA-like response in three different gene models: Actg1 knockdown, Ctnna1 knockdown, and Nckap1 knockdown. After comparing two different modes of triggering TA, CRISPR-Cas9 knockout versus CRISPR-Cas13d knockdown, I reported little overlap between the dysregulated genes and suggested that diverse mRNA degradation modes led to distinct TA responses. In addition, the transcriptional increase of Actg2 caused by CRISPR-Cas13d-mediated Actg1 mRNA cleavage did not require chromatin accessibility changes.
Experiments and genetic tools described in this dissertation investigated how TA develops from its earliest onset, how it affects the global transcriptome of the cell, as well as provided compelling evidence for an mRNA degradation-central TA mechanism. I have created tools to study both direct and indirect TA gene targets and unveiled important insights into the temporal dynamics of TA. Genes with higher sequence similarity were found to be upregulated more rapidly than those with lower similarity. Furthermore, it was revealed that the epigenetic properties of TA responses vary depending on the triggering mechanism. Cas13d-mediated degradation of wild-type mRNAs led to immediate transcriptional enhancement independent of epigenetic changes, which stood in contrast to previously measured alterations in chromatin accessibility in CRISPR-Cas9 mutants. This research has thus significantly advanced our knowledge of TA and provided valuable tools and findings that contribute to the broader understanding of gene expression regulation in response to mRNA degradation.
Seit Jahrzehnten finden Kunststoffe aufgrund ihrer vorteilhaften Materialeigenschaften wie z. B. Formbarkeit und im Vergleich zu Glas oder Metall geringe Kosten und leichtes Gewicht, vermehrt Anwendung in allen Bereichen des täglichen Lebens. Einhergehend gelangen Kunststoffe zunehmend in die Umwelt, und reichern sich dort an. Besondere Aufmerksamkeit erfahren Partikel im Größenbereich von 1-1000 µm, sogenanntes Mikroplastik (MP), welches entweder direkt eingetragen wird oder in der Umwelt durch Fragmentierung größerer Plastikteile entsteht. Lange Zeit fokussierte sich die MP Forschung vorrangig auf aquatische Ökosysteme, obwohl Schätzungen davon ausgehen, dass die Kunststoffeinträge in terrestrischen Ökosystemen um ein Vielfaches höher sind. Besonders relevante Eintragspfade sind neben der unsachgemäßen Entsorgung von Abfällen, die landwirtschaftliche Klärschlamm- und Kompostdüngung und der zunehmende Einsatz von Mulchfolien, sowie der im Straßenverkehr generierte Reifenabrieb.
Für eine Abschätzung und Bewertung der MP-Belastung in Böden sind analytische Messungen von MP in Umweltproben essenziell, derzeit jedoch kaum existent, da MP im Boden partikulär und heterogen verteilt vorliegt und deshalb nur schwierig zu detektieren ist. Die für viele Analyseverfahren notwendige Isolation der Kunststoffpartikel, sowie die für repräsentative Messungen erforderliche Aufbereitung großer Probenvolumina stellen besondere analytische Herausforderungen mit großem Kosten- und Zeitaufwand dar. Chromatografische Verfahren finden wenig Anwendung, bieten aber vorteilhafte Voraussetzungen als Screeningverfahren für die Untersuchung von Böden, da sie nicht zwangsweise eine Partikelisolation verlangen, und zudem als Ergebnis einen Massegehalt liefern.
Diese Dissertation zeigt drei Anwendungen Chromatografie basierter Analyseverfahren zur Charakterisierung von MP im Boden. Erstmalig wurde die Thermo-Extraktion-Desorption-Gaschromatografie-Massenspektrometrie (TED-GC/MS) für die Analytik von Reifenabrieb in realen Umweltproben angewandt bei minimaler Probenaufbereitung. Dafür wurde ein Straßenrandboden umfangreich beprobt und analysiert, und es konnte neben der Eignung der analytischen Methode auch eine repräsentative Probenahmestrategie und räumliche Verteilungsmuster von Reifenabrieb im Boden demonstriert werden.
Der zweite Forschungsschwerpunkt lag auf der Methodenentwicklung und validierung eines neuartigen chemischen Extraktionsverfahrens für die Bestimmung von Polyestern in Bodenproben. Das Verfahren basiert auf der hydrolytischen Spaltung von Polyestern in ihre Monomere, deren flüssigchromatografische Abtrennung von Matrixbestandteilen und der Detektion mittels UV-Absorption. Das Verfahren verlangt neben der Extraktion keine weiteren Probenaufbereitungsschritte, ist für unterschiedliche Umweltmatrizes geeignet und ist damit z. B. prädestiniert für den Nachweis von Polyesterfasern auf gedüngten landwirtschaftlichen Flächen.
MP ist nicht nur aufgrund seiner Persistenz problematisch, sondern auch, weil es hydrophobe organische Schadstoffe aus dem Umweltmedium anreichern und transportieren kann. Maßgeblich für das Sorptionsverhalten sind die Materialeigenschaften des zugrunde liegenden Kunststoffes, welche Änderungen durch Alterungsprozessen unterliegen. Der Zusammenhang zwischen Materialalterung und Sorptionsverhalten wurde in früheren Studien kontrovers diskutiert und ist der dritte Teil dieser Arbeit. In einem Sorptionsexperiment konnte mittels Headspace-Gaschromatografie mit Flammenionisations-Detektion die Aufnahme von Aromaten an den Kunststoffen Polypropylen und Polystyrol quantifiziert werden. Die Kunststoffe wurden materialwissenschaftlich charakterisiert, teilweise künstlich gealtert und die daraus resultierende Änderungen der Materialeigenschaften sowie einhergehenden Änderungen des Sorptionsverhaltens erfasst. Dadurch war es möglich den Einfluss einzelner Materialeigenschaften auf das Sorptionsverhalten zu bewerten, Rückschlüsse auf zugrunde liegende Sorptionsmechanismen zu treffen und zu zeigen, dass in vorliegendem Experiment die Polymeralterung bei MP nicht zu einer erhöhten Schadstoffsorption führte.
Trait-dependent effects of biotic and abiotic filters on plant regeneration in Southern Ecuador
(2024)
Tropical forests have always fascinated scientists due to their unique biodiversity. However, our understanding of ecological processes shaping the complexity of tropical rainforests is still relatively poor. Plant regeneration is one of the processes that remain understudied in the tropics although this is a key process defining the structure, diversity and assembly of tropical plant communities. In my dissertation, I combine experimental, observational and trait-based approaches to identify processes shaping the assembly of seedling communities and compare associations between environmental conditions and plant traits across plant life stages. By working along a steep environmental gradient in the tropical mountains of Southern Ecuador, I was able to investigate how processes of plant regeneration vary in response to biotic and abiotic factors in tropical montane forests.
My dissertation comprises three complementary chapters, each addressing an individual research question. First, I studied how trait composition in plant communities varies in relation to the broad- and local-scale environmental conditions and across the plant life cycle. I measured key traits reflecting different ecological strategies of plants that correspond to three stages of the plant life cycle (i.e., adult trees, seed rain and recruiting seedlings). I worked on 81 subplots along an elevational gradient covering a large climatic gradient at three different elevations (1000, 2000 and 3000 m a.s.l.). In addition, I measured soil and light conditions at the local spatial scale within each subplot. My findings show that the trait composition of leaves, seeds and seedlings changed similarly across the elevational gradient, but that the different life stages responded differently to the local gradients in soil nutrients and light availability. Consequently, my findings highlight that trait-environment associations in plant communities differ between large and small spatial scales and across plant life stages.
Second, I investigated how seed size affects seedling recruitment in natural forests and in pastures in relation to abiotic and biotic factors. I set up a seed sowing experiment in both habitat types and sowed over 8,000 seeds belonging to seven tree species differing in seed size. I found that large-seeded species had higher proportions of recruitment in the forests compared to small-seeded species. However, small-seeded species tended to recruit better in pastures compared to large-seeded species. I showed that high surface temperature was the main driver of differences in seedling recruitment between habitats, because it limited seedling recruitment of large-seeded species. The results from this experiment show that pasture restoration requires seed addition of large-seeded species and active protection of recruiting seedlings in order to mitigate harmful conditions associated with high temperatures in deforested areas.
Third, I examined the associations between seedling beta-diversity and different abiotic and biotic factors between and within elevations. I applied beta-diversity partitioning to obtain two components of beta-diversity: species turnover and species richness differences. I associated these components of beta-diversity with biotic pressures by herbivores and fungal pathogens and environmental heterogeneity in light and soil conditions. I found that species turnover in seedling communities was positively associated with the dissimilarity in biotic pressures within elevations and with environmental heterogeneity between elevations. Further, I found that species richness differences increased primarily with increasing environmental heterogeneity within elevations. My findings show that the associations between beta-diversity of seedling communities and abiotic and biotic factors are scale-dependent, most likely due to differences in species sorting in response to biotic pressures and species coexistence in response to environmental heterogeneity.
My dissertation reveals that studying processes of community assembly at different plant life stages and spatial scales can yield new insights into patterns and processes of plant regeneration in tropical forests. I investigated how community assembly processes are governed by abiotic and biotic filtering across and within elevations. I also experimentally explored how the process of seedling recruitment depends on seed size-dependent interactions, and verified how these effects are associated with abiotic and biotic filtering. Identifying such processes is crucial to inform predictive models of environmental change on plant regeneration and successful forest restoration. Further exploration of plant functional traits and their associations with local-scale environmental conditions could effectively support local conservation efforts needed to enhance forest cover in the future and halt the accelerating loss of biodiversity.
Unter den weltweit in ständigem Gebrauch befindlichen Chemikalien befinden sich nicht nur Verbindungen mit akuter toxischer Wirkung, sondern auch solche mit Wirkung auf das endokrine System. Eine große Rolle spielt hier vor allem die Störung der Geschlechtsdifferenzierung und der Reproduktion, ausgelöst durch natürliche oder synthetische Chemikalien mit endokrinem Potential, sogenannte endokrine Disruptoren (ED). Diese Chemikalien können über unterschiedliche Eintragspfade in die Umwelt gelangen. Seit Mitte des 20. Jahrhunderts werden mehr und mehr Fälle bekannt, in denen anthropogene Chemikalien die Pflanzen- und Tierwelt belasten, darunter zahlreiche Befunde zu Störungen des Hormonsystems von Mensch und Tier.
Im Rahmen der Gefahren- und Risikobewertung steht bereits eine Vielzahl harmonisierter Prüfrichtlinien für die Identifizierung und Evaluierung der Effekte von (potentiellen) ED zur Verfügung. Um die Gesamtheit aller potentiellen Interaktionen von ED mit dem Hormonsystem detektieren zu können, ist die In-vivo-Untersuchung an Vertebraten in der Chemikalienregistrierung bisher unabdingbar. Bei der Untersuchung endokriner Potentiale in höheren Vertebraten spielen vor allem nager- und vogelbasierte Testsysteme eine wichtige Rolle. Diese bergen jedoch einen hohen zeitlichen, personellen und finanziellen Aufwand und erfordern eine massive Zahl an Versuchstieren, die für diese Tests benötigt werden. Darüber hinaus beinhalten Tierversuche eine Vielzahl von Problemen einschließlich ethischer Bedenken, die sich als Konsequenz der Tierhaltung unter Versuchsbedingungen ergeben. Ein sehr interessanter und vielversprechender Ansatz zur Reduktion von Tierversuchen ist die Entwicklung eines standardisierten Verfahrens für die Untersuchung potentieller ED in Vogelembryonen. Auf Vogelembryonen basierende In-ovo-Modelle stellen einen Mittelweg zwischen In-vitro- und In-vivo-Testsystemen dar. Mit dem Vogeleitest wird der sich entwickelnde Embryo, das für ED sensitivste Entwicklungsstadium im Leben eines Organismus, berücksichtigt.
Das Ziel der vorliegenden Arbeit war die Entwicklung und Eignungsuntersuchung eines auf dem Embryo des Haushuhns (Gallus gallus domesticus) basierenden Testsystems für den Nachweis von ED. Das resultierende Testsystem soll als Alternativmethode zu bisher etablierten nager- und vogelbasierten Testsystemen für die Untersuchung der Effekte hormonell aktiver Substanzen auf die Geschlechtsdifferenzierung in höheren Wirbeltieren eingesetzt werden.
Die im Rahmen der vorliegenden Dissertation durchgeführten Arbeiten umfassten sowohl die Charakterisierung der Normalentwicklung des Hühnerembryos, unbeeinflusst durch ED, als auch die morphologisch-histologischen Veränderungen der Gonaden von substanzexponierten Embryonen. Für die Untersuchung substanzbedingter Effekte, welche den Schwerpunkt der vorliegenden Arbeit darstellen, wurden die Embryonen gegenüber verschiedenen (anti)estrogenen und (anti)androgenen Substanzen exponiert. Unter Einfluss der Estrogene Bisphenol A (BPA) und 17α-Ethinylestradiol (EE2) entwickelten sich die Keimdrüsen der Männchen zu Ovotestes, während Weibchen ein Ovar mit deutlich schmalerem Cortex ausbildeten. Unter Einfluss der Antiestrogene Fulvestrant und Tamoxifen blieben Effekte auf die Gonaden männlicher Embryonen aus, eine durch das potente Estrogen EE2 hervorgerufene Feminisierung männlicher Gonaden konnte durch beide Substanzen jedoch effektiv antagonisiert werden. Weibchen bilden unter Einfluss von Tamoxifen deutlich schmalere linke Gonaden mit einem missgebildeten Cortex aus. Unter Einfluss der Androgene Tributylzinn (TBT) und 17α-Methyltestosteron (MT) blieben die Effekte auf männliche Embryonen aus, während die Weibchen anatomisch virilisierte Gonaden und eine Reduktion des linken gonadalen Cortex aufwiesen. Allein die untersuchten antiandrogenen Versuchssubstanzen Cyproteronacetat (CPA), Flutamid und p,p´-Dichlorodiphenyldichloroethen (p,p´-DDE) hatten keinen Effekt auf die gonadale Geschlechtsdifferenzierung männlicher und weiblicher Hühnerembryonen.
Es konnte gezeigt werden, dass der Embryo von G. gallus domesticus einen sensitiven Organismus innerhalb des Tierreichs darstellt und hinreichend sensitiv auf eine Reihe von endokrin wirksamen und reproduktionstoxischen Chemikalien reagiert. Anatomische und histologische Änderungen der Gonaden können daher als Biomarker für die Wirkung von ED bei Vögeln nützlich sein. Die untersuchten Endpunkte beziehen sich jedoch auf apikale Effekte und liefern keine mechanistischen Informationen zu den untersuchten Substanzen. Der
Hühnereitest ist eine sinnvolle Ergänzung zur bestehenden OECD-Testbatterie und zeichnet sich besonders durch seine kostengünstige und einfache Handhabung im Labor sowie einfach durchzuführende Tests aus. Durch die vergleichsweise kurze Versuchsdauer von nur 19 Tagen ist ein schnelles Substanzscreening möglich, welches zeitlich deutliche Vorteile gegenüber den etablierten nager- und vogelbasierten Testsystemen hat. Als Alternative zu bisherigen Assays könnte der vorgeschlagene Hühnereitest dazu beitragen, im Rahmen der (öko)toxikologischen Gefährdungs- und Risikobewertung von Chemikalien künftig weniger Versuchstiere zu verwenden.
Influenza is a contagious respiratory disease caused by influenza A and influenza B viruses. The World Health Organisation (WHO) reports that annual influenza epidemics result in approximately 1 billion infections, 3 to 5 million severe cases, and 300 to 650 thousand deaths. Understanding hidden mechanisms that lead to optimal vaccine efficacy and improvement antiviral treatment strategies remain continuous and central tasks. First, regarding the immune response to vaccines and natural infections, the antibody response echoes the dynamics of diverse immune elements such as B-cells, and plasma cells. Also, responses reflect the processes for B-cells to gain and adapt affinity for the virus. Antibodies (Abs) that respond to the virus surface proteins, particularly to the hemagglutinin (HA), have been identified to protect against infection. The Abs responses binding to HA can be broadly protective as this protein is considerably accessible on the virion. When following sequential infections with similar influenza strains, i.e. two infections with different strains of a subtype, an enhanced breadth and magnitude of Abs response is developed, mainly after the second infection. The effect of being effective to new strains is called Abs cross-reaction.
On the other hand, as for antiviral treatment, the WHO currently approves the use of neuraminidase inhibitors (NIs) such as zanamivir and oseltamivir. Diverse research areas such as system biology, learning-based methods, control theory, and systems pharmacology have guided the development of modern treatment schemes. To do so, mathematical models are used to describe a wide range of phenomena such as viral pathogenesis, immune responses, and the drug's dynamics in the body. Drug dynamics are usually expressed in two phases, pharmacokinetics (PK) and pharmacodynamics (PD) - the PK/PD approach. These schemes leverage pre-clinical and clinical data through modeling and simulation of infection and drug effects at diverse levels. Under such a framework, control-based scheduling systems seek to tailor optimal antiviral treatment for infectious diseases. Thus, influenza treatment can be theoretically studied as a control-based optimization duty (about systems stability, bounded inputs, and optimality). Finally, towards real-world implementation, learning-based methods such as neural networks (NNs) can guide solving issues on the control-based performance. Using NNs as identifiers provide a setting to deal with infrequent measures and uncertain parameters for the control systems.
This thesis theoretically explores central mechanisms in influenza infection via modeling and control approaches. In the first project, we explore how and to what extent antibody-antigen affinity flexibility could guide the Abs cross-reaction in two sequential infections using a hypothetical family of antigens. The set of antigens generally represent strains of influenza, such as those of a subtype. Each antigen is composed of a variable and a conserved area, generically representing the structures of the HA, head, and stalk, respectively. We test diverse scenarios of affinity thresholds in the conserved and variable areas of the antigens. The Abs response reaches a high magnitude when using equivalent affinity thresholds in the conserved and variable areas during the first infection. However, improved cross-reaction is developed when slightly increasing the affinity threshold of the variable area for the second infection. Key mutations via affinity maturation is a feature that, together with affinity flexibility between infections, guides Abs cross-reaction in the model outcome. These results could correlate with studies pointing out that broad responses might be dependent on reaching specific mutations for getting affinity to a newly presented antigen while broadly reaching related antigens. The general platform may serve as a proof-of-concept for exploring fundamental mechanisms that favor the Abs cross-reaction.
In a second project, theoretical schemes are developed to combine impulsive and inverse optimal control strategies to address antiviral treatment scheduling. We present results regarding stability, passivity, bounded inputs, and optimality using impulsive action. The study is founded on mathematical models of the influenza virus (target-cell limited model) adjusted to data from clinical trials. In these studies, participants were experimentally infected with influenza H1N1 and treated with NIs. Results show that control-based strategies could tailor dosage and reduce the amount of medication by up to 44%. Also, control-based treatment reaches the efficacy (98%) of the current treatment recommendations by the WHO. Monte Carlo simulations (MCS) disclose the robustness of the proposed control-based techniques. Using MCS, we also explore the applicability to the individualized treatment of infectious diseases through virtual clinical trials. Furthermore, bounded control strategies are applied directly in drug dose estimation accounting for overdose prevention. Finally, due to the limitations of the available technology intended for clinical practice, we emphasize the necessity of developing system identifiers and observers for real-world applications.
In the third project, the problem of data scarcity and infrequent measures in the real world is handled by means of learning-based methods. System identification is derived using a Recurrent High Order Neural Network (RHONN) trained with the Extended Kalman filter (EKF). Lessons learned from impulsive control frameworks are taken to develop a neural inverse optimal impulsive control --neurocontrol. The treatment efficacy is tested for early (one day post-infection) and late (2 to 3 days post-infection) treatment initiation. The neurocontrol reaches an efficacy of up to 95% while saving almost 40% of the total drug in the early treatment. Robustness is tested via virtual clinical trials using MCS.
Lastly, taking all together, the schemes developed in this thesis for modeling the Abs cross-reaction and control-based treatment tailoring can be extended and adapted to explore similar phenomena in different respiratory pathogens, such as SARS-CoV-2.
Get3 in Arabidopsis
(2021)
Der guided entry of tail-anchored proteins (GET) Biogenese-Weg vermittelt den Transport und die Insertion von tail-anchor (TA) Proteinen in die Doppellipidschicht des Endoplasmatischen Retikulums (ER). TA Proteine sind dadurch gekennzeichnet, dass sie eine Transmembran Domäne (TMD) in den letzten 50 Aminosäuren ihrer Sequenz beherbergen. Diese TMD enthält die notwendigen Informationen, mit denen die Proteine an ihren jeweiligen subzellulären Zielort transportiert werden können. TA Proteine erfüllen eine Vielzahl von essentiellen biologischen Prozessen, sie fungieren zum Beispiel als Rezeptoren, sind maßgeblich an der Fusion von Vesikeln beteiligt sowie an der Initiation von Apoptose. Durch ihren modularen Aufbau können TA Proteine nicht mit dem Signalerkennungspartikel interagieren und müssen deshalb posttranslational zum ER geleitet werden. Im Modellorganismus Bäckerhefe (Saccharomyces cerevisiae) ist der GET Biogenese-Weg am besten beschrieben und läuft wie folgt ab: Nach der Termination der Translation bindet das Protein SgtA das TA Protein und händigt es über den Adapter-Komplex, bestehend aus Get4 und Get5, an die zytosolische ATPase Get3 aus. Get3 ist der zentrale Zielsteuerungsfaktor des GET Biogenese-Weges. Sobald sich ein Komplex aus Zeilsteuerungsfaktor und TA Protein gebildet hat, wird dieses zur Membran des ERs überführt. Dort wird das TA Protein an den Rezeptorkomplex bestehend aus Get1 und Get2 übergeben, welcher anschließend die Insertion des TA Proteins in die Doppellipidschicht des ERs initiiert.
Get3 hat im zellulären Kontext noch eine weitere Funktion. Unter oxidativem Stress oder Energie depletierenden Bedingungen wird Get3 zu spezifischen Foci rekrutiert, an denen sich noch weitere durch Stress -induzierbare Proteine, wie z.B. die der Familie der Hitze Stress Proteine (HSPs) versammeln. Analysen haben gezeigt, dass Get3 unter den oben genannten Bedingungen, Konformationsänderungen durchläuft und dann als ATP unabhängige Holdase fungiert. Diese kann die exponierten, hydrophoben Anteile von Proteinen binden, um dadurch die Proteostasis aufrechtzuhalten.
Durch die Bedeutsamkeit der TA Proteinen ist die zentrale ATPase Get3 in allen Domänen des Lebens hochgradig konserviert. Phylogenetische Analysen ergaben, dass sich Get3 im Allgemeinen in eine „A“ Gruppe sowie eine „BC“ Gruppe aufspaltet. Im Modellorganismus Arabidopsis thaliana (Ackerschmalwand) wurden drei Orthologe zu Get3 identifiziert. Eins davon gehört zu der „A“ Gruppe und befindet sich im Zytoplasma. Die anderen zwei Orthologe befinden sich in den Organellen endo-symbiotischen Ursprungs und gehören der „BC“ Gruppe an. Untersuchungen an verschiedenen Deletionsmutanten in A. thaliana haben gezeigt, dass die Mutationen einzelner GET Komponenten zu einer signifikanten Verkürzung der Haarwurzeln führen, obwohl der restliche Habitus der Pflanze unverändert bleibt. Diesbezüglich wurde SYP123 als einziges TA Proteine identifiziert, dessen Abundanz durch die Deletion von GET Komponenten beeinflusst werden kann. Von den anderen beiden Orthologen organellären Ursprungs ist, abgesehen von ihrer Lokalisation nichts weiter bekannt
Vier Orthologe Gruppen in Pflanzen
Da bislang nicht mehr als zehn Pflanzenarten für phylogenetische Analysen herangezogen wurden, wurden in dieser Arbeit die taxonomischen Beziehungen von Get3 zu einander in 50 Spezies der Viridiplantae auf Basis der Orthologie sowie Homologie untersucht. Dies führte zur Identifizierung einer zytolischen (AtGet3a), einer plastidären (AtGet3b), einer mitochondriellen (AtGet3c) sowie einer Monokotyledone spezifischen Gruppe (SBGet3). Die Lokalisation der ersten drei Gruppen wurde in selektierten Pflanzen, sowohl homolog als auch heterolog, der unterschiedlichen Spezies mittels saGFP untersucht, und es konnte gezeigt werden, dass mehrere Get3 Orthologe mit unterschiedlichen subzellulären Lokalisationen eine unter Pflanze häufig auftretende Eigenschaft ist. Das Weitern konnte gezeigt werden, dass manche Komponenten des Präzielsteuerungskomplexes (SgtA und Get4) sowie des Rezeptorkomplexes (Get1) in fast allen der 50 untersuchten Pflanzenarten vorhanden sind. Dies weist auf eine Konservierung des gesamten GET Biogenese-Weges in Pflanzen hin.
Get3a in Arabidopsis thaliana
Da die molekulare Zusammensetzung des Präzielsteuerungskomplexes für AtGet3a in A. thaliana nicht bekannt ist, habe ich Co-Immunpräzipitationen mit Zellextrakten aus weißer Zellkultur und einen von mir selbst aufgereinigten Antikörper gegen AtGet3a durchgeführt. Nach anschließender Gelelektrophorese und einer Anfärbung mit Coomassie Brilliant Blue ließ sich ein reproduzierbares Muster aus Proteinbanden erkennen, welche ausgeschnitten und mittels LC-MS/MS analysiert wurden. Dadurch wurde ein putativer Kandidat für Get5 identifiziert sowie eine Assoziation mit Chaperonen und proteasomalen Untereinheiten.
Um die Zielsteuerungseffizienz und Topologie von ER-Membranproteinen zu analysieren habe ich (i) die rekombinante Synthese eines Modell-TA Proteins mit glykosylierbarem opsin bovine glycosylation Tag (OPG) etabliert sowie (ii) eine Methode etabliert um in isolierten Protoplasten die Richtigkeit der Insertion zu überprüfen. Mit Hilfe dieser Methoden können nun verschiedene Mutanten auf ihre Insertions-Wirksamkeit untersucht werden. Desweitern können durch Mutationsanalysen die notwendigen physikochemischen Eigenschaften für die Erkennung des Substrates ermittelt werden.
Eine weit verbreitete Methode im GET Feld ist die tail-anchor translocation (TAT). Bei dieser Methode werden isolierte mikrosomale Fraktionen des rauen ERs mit rekombinanten Komplexen bestehend aus Zielsteuerungsfaktor und TA Protein inkubiert. Durch einen rekombinanten OPG, der im Lumen des ERs post-translational modifiziert werden kann, ist die Beobachtung einer zeitabhängigen Kinetik der Glykosylierung möglich. Dieses System wurde bislang nur für Komponenten aus Säugern oder Hefen benutzt, aber noch nie mit einem System auf pflanzlicher Basis. Um dies zu verwirklichen, habe ich die rekombinante Proteinexpression soweit optimiert, dass der Großteil des synthetisierten Proteins sich im löslichen Anteil des Lysats statt in den Inclusion Bodies befand. Mittels dieser Optimierung konnte ich die Ko-Expression von Zielsteuerungsfaktor mit TA Protein als löslichen Komplex etablieren. Ergänzend zu den löslichen Komplexen habe ich eine geeignete Methode etabliert um mittels Saccharosegradienten mikrosomale Fraktionen aufzutrennen in denen AtGet3a angereichert ist. Leider müssen noch die Parameter der Reaktion optimiert werden, aber die Akquirierung alle nötigen Bestandteile ist etabliert.
Identifizierung und funktionelle Analyse von Pathogenitätsfaktoren in Bartonella bacilliformis
(2023)
Die Carrión-Krankheit ist eine durch Vektoren übertragene vernachlässigte Tropenkrankheit (neglected tropical disease), die in den südamerikanischen Andentälern auf einer Höhe von 600 3.200 m über dem Meeresspiegel vor allem in Peru, aber auch in Ecuador und Kolumbien endemisch ist. Der Erreger dieser Infektionskrankheit ist Bartonella bacilliformis, ein strikt humanpathogenes, Gram-negatives, fakultativ intrazelluläres Stäbchen der Klasse der Alphaproteobakterien. In der akuten Krankheitsphase, die als "Oroya-Fieber" bezeichnet wird, infizieren die Erreger Erythrozyten und verursachen eine schwere akute hämolytische Anämie, hohes Fieber sowie eine ausgeprägte Immunsuppression. Für diese Phase wurden Sterblichkeitsraten von bis zu 88% beschrieben. Dem Oroya-Fieber folgt meist eine chronische Infektion der vaskulären Endothelzellen, bei der durch vaskulo-endotheliale Proliferationen noduläre, Hämangiom-ähnliche, kutane Gefäßläsionen, die als "Verruga peruana" bezeichnet werden, entstehen. Diese beiden Phasen treten in der Regel nacheinander, manchmal aber auch unabhängig voneinander auf. Die Übertragung auf dem Menschen erfolgt durch den Biss infizierter Sandmücken (Lutzomyia spp.), die in den hochgelegenen Regionen der Anden vorkommen. Klimatische Veränderungen führen jedoch zur Expansion des Vektors auf angrenzende Regionen und begünstigen damit die Ausbreitung von B. bacilliformis-Infektionen.
In der Erforschung der Carrión-Krankheit besteht ein erheblicher Wissensmangel zu zahlreichen Aspekten (z. B. Epidemiologie, Infektionsbiologie, Diagnostik, Therapie), wodurch die Entwicklung von potenziellen Diagnostika, Therapeutika oder Vakzinen verhindert wird. Auch wenn frühere Studien zum Ziel hatten, immundominante Proteine für die Entwicklung serodiagnostischer Verfahren und Impfstoffe zu identifizieren, ist bislang kein validierter serologischer Test bzw. ein Impfstoff verfügbar. Daher sollte im ersten Teil dieser Arbeit ein serologischer Test zum Nachweis von anti-B. bacilliformis-Antikörpern entwickelt werden. Hierzu wurde ein Ansatz aus reverser Vakzinologie in Kombination mit einer Analyse heterologer genomischer Expressionsbibliotheken verfolgt, um geeignete immundominante Proteine zu identifizieren. Insgesamt wurden 21 potenziell immundominante Proteine identifiziert, rekombinant produziert, und auf ihre Reaktivität mit B. bacilliformis Patientenseren mittels Immunoblotting analysiert. Von den 21 Antigenkandidaten erwiesen sich 14 als immunreaktiv, die anschließend in einer Lineblot-Analyse mit 26 Serumproben von peruanischen B. bacilliformis Patienten und 96 Serumproben von gesunden deutschen Blutspendern ohne Reisevorgeschichte in Südamerika auf ihren potenziellen Nutzen für serologische Test untersucht wurden. Drei Antigene (Porin-B, Autotransporter-E und hypothetisches Protein-B) erwiesen sich für die Entwicklung eines diagnostischen ELISA als geeignet und wurden in zwei verschiedenen Antigenkombinationen (ELISA 1: Porin-B, Autotransporter-E, ELISA 2: Porin-B, Autotransporter-E, hypothetisches Protein B) verwendet. Um die Leistungsfähigkeit des B. bacilliformis ELISA zu bewerten, wurde eine Receiver-Operating-Characteristic-Analyse durchgeführt. Für die Kombination aus Porin-B und Autotransporter-E lag die Sensitivität des Tests bei 80,8% und die Spezifität bei 94,8%, wohingegen die Kombination aus Porin-B, Autotransporter-E und dem hypothetischem Protein-B in einer Sensitivität von 76,9% und einer Spezifität von 93,8% resultierte. Dieser neu entwickelte ELISA könnte ein nützliches serodiagnostisches Instrument für künftige epidemiologische Studien über B. bacilliformis in endemischen Gebieten darstellen. Darüber hinaus könnten die hier identifizierten immundominanten Antigene eine erste Grundlage für die zukünftige Entwicklung von Impfstoffen für die Prävention Carrión-Krankheit bilden.
Erythrozyten-Invasion und Hämolyse sind wahrscheinlich die wichtigsten Schritte in der Pathogenese der Carrión-Krankheit und verantwortlich für die hohe Sterblichkeitsrate beim Menschen. Genaue mechanistische Kenntnis dieses Prozesses sind entscheidend für die Entwicklung therapeutischer Arzneimittel. Im zweiten Teil dieser Arbeit sollten die in der Hämolyse involvierten Pathogenitätsfaktoren von B. bacilliformis identifiziert werden. Hierzu wurde eine Tn5-Transposonmutagenese in den beiden B. bacilliformis Stämmen KC583 und KC584 durchgeführt. Ein screening nach Hämolyse-defizienten Mutanten führte zur Identifizierung von zwei Pathogenitätsfaktoren: einem Porin (Porin-A) und einer α/β-Hydrolase. Ihre vermutete Funktion im Prozess der Hämolyse wurde durch eine zielgerichtete markerlose Deletion sowie durch genetische Komplementationen in vitro funktionell bestätigt. Dabei zeigte sich, dass Porin-A und die α/β Hydrolase jeweils essenzielle Faktoren für die Hämolyse darstellen. Durch eine in silico-Charakterisierung konnte konservierte biologische Funktionen identifiziert sowie die dreidimensionale Struktur der Proteine vorhergesagt werden. Diese Versuche bilden eine experimentelle Basis, um die Rolle von Porin-A und der α/β-Hydrolase näher untersuchen zu können und um potenzielle (Porin-A und α/β-Hydrolase) Inhibitoren mit anti-hämolytischer und damit therapeutische Wirkung testen zu können.