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The emerging threat of antibiotic-resistant bacteria has become a global challenge in the last decades, leading to a rising demand for alternative treatments for bacterial infections. One approach is to target the bacterial cell envelope, making understanding its biophysical properties crucial. Specifically, bacteriophages use the bacterial envelope as an entry point to initiate infection, and they are considered important building blocks of new antibiotic strategies against drug-resistant bacteria.. Depending on the structure of the cell wall, bacteria are classified as Gram-negative and Gram-positive. Gram-negative bacteria are equipped with a complex cell envelope composed of two lipid membranes enclosing a rigid peptidoglycan layer. The synthesis machinery of the Gram-negative cell envelope is the target of antimicrobial agents, including new physical sanitizing procedures addressing the outer membrane (OM). It is therefore very important to study the biophysical properties of the Gram-negative bacterial cell envelope. The high complexity of the Gram-negative OM sets the demand for a model system in which the contribution of individual components can be evaluated separately. In this respect, giant unilamellar vesicles (GUVs) are promising membrane systems to study membrane properties while controlling parameters such as membrane composition and surrounding medium conditions.
The aim of this work was to develop methods and approaches for the preparation and characterization of a GUV-based membrane model that mimics the OM of the Gram-negative cell envelope. A major component of the OM is the lipopolysaccharide (LPS) on the outside of the OM heterobilayer. The vesicle model was designed to contain LPS in the outer leaflet and lipids in the inner leaflet. Furthermore, the interaction of the prepared LPS-GUVs with bacteriophages was tested. LPS containing GUVs were prepared by adapting the inverted emulsion technique to meet the challenging properties of LPS, namely their high self-aggregation rate in aqueous solutions. Notably, an additional emulsification step together with the adaption of solution conditions was employed to asymmetrically incorporate LPS containing long polysaccharide chains into the artificial membranes. GUV membrane asymmetry was verified with a fluorescence quenching assay. Since the necessary precautions for handling the quenching agent sodium dithionite are often underestimated and poorly described, important parameters were tested and identified to obtain a stable and reproducible assay. In the context of varied LPS incorporation, a microscopy-based technique was introduced to determine the LPS content on individual GUVs and to directly compare vesicle properties and LPS coverage. Diffusion coefficient measurements in the obtained GUVs showed that increasing LPS concentrations in the membranes resulted in decreased diffusivity.
Employing LPS-GUVs we could demonstrate that a Salmonella bacteriophage bound with high specificity to its LPS receptor when presented at the GUV surface, and that the number of bound bacteriophages scaled with the amount of presented LPS receptor. In addition to binding, the bacteriophages were able to eject their DNA into the vesicle lumen. LPS-GUVs thus provide a starting platform for bottom-up approaches for the generation of more complex membranes, in which the effects of individual components on the membrane properties and the interaction with antimicrobial agents such as bacteriophages could be explored.
For the elucidation of the dynamics of signal transduction processes that are induced by cellular interactions, defined events along the signal transduction cascade and subsequent activation steps have to be analyzed and then also correlated with each other. This cannot be achieved by ensemble measurements because averaging biological data ignores the variability in timing and response patterns of individual cells and leads to highly blurred results. Instead, only a multi-parameter analysis at a single-cell level is able to exploit the information that is crucially needed for deducing the signaling pathways involved. The aim of this work was to develop a process line that allows the initiation of cell-cell or cell-particle interactions while at the same time the induced cellular reactions can be analyzed at various stages along the signal transduction cascade and correlated with each other. As this approach requires the gentle management of individually addressable cells, a dielectrophoresis (DEP)-based microfluidic system was employed that provides the manipulation of microscale objects with very high spatiotemporal precision and without the need of contacting the cell membrane. The system offers a high potential for automation and parallelization. This is essential for achieving a high level of robustness and reproducibility, which are key requirements in order to qualify this approach for a biomedical application. As an example process for intercellular communication, T cell activation has been chosen. The activation of the single T cells was triggered by contacting them individually with microbeads that were coated with antibodies directed against specific cell surface proteins, like the T cell receptor-associated kinase CD3 and the costimulatory molecule CD28 (CD; cluster of differentiation). The stimulation of the cells with the functionalized beads led to a rapid rise of their cytosolic Ca2+ concentration which was analyzed by a dual-wavelength ratiometric fluorescence measurement of the Ca2+-sensitive dye Fura-2. After Ca2+ imaging, the cells were isolated individually from the microfluidic system and cultivated further. Cell division and expression of the marker molecule CD69 as a late activation event of great significance were analyzed the following day and correlated with the previously recorded Ca2+ traces for each individual cell. It turned out such that the temporal profile of the Ca2+ traces between both activated and non-activated cells as well as dividing and non-dividing cells differed significantly. This shows that the pattern of Ca2+ signals in T cells can provide early information about a later reaction of the cell. As isolated cells are highly delicate objects, a precondition for these experiments was the successful adaptation of the system to maintain the vitality of single cells during and after manipulation. In this context, the influences of the microfluidic environment as well as the applied electric fields on the vitality of the cells and the cytosolic Ca2+ concentration as crucially important physiological parameters were thoroughly investigated. While a short-term DEP manipulation did not affect the vitality of the cells, they showed irregular Ca2+ transients upon exposure to the DEP field only. The rate and the strength of these Ca2+ signals depended on exposure time, electric field strength and field frequency. By minimizing their occurrence rate, experimental conditions were identified that caused the least interference with the physiology of the cell. The possibility to precisely control the exact time point of stimulus application, to simultaneously analyze short-term reactions and to correlate them with later events of the signal transduction cascade on the level of individual cells makes this approach unique among previously described applications and offers new possibilities to unravel the mechanisms underlying intercellular communication.
An important goal in biotechnology and (bio-) medical research is the isolation of single cells from a heterogeneous cell population. These specialised cells are of great interest for bioproduction, diagnostics, drug development, (cancer) therapy and research. To tackle emerging questions, an ever finer differentiation between target cells and non-target cells is required. This precise differentiation is a challenge for a growing number of available methods.
Since the physiological properties of the cells are closely linked to their morphology, it is beneficial to include their appearance in the sorting decision. For established methods, this represents a non addressable parameter, requiring new methods for the identification and isolation of target cells. Consequently, a variety of new flow-based methods have been developed and presented in recent years utilising 2D imaging data to identify target cells within a sample. As these methods aim for high throughput, the devices developed typically require highly complex fluid handling techniques, making them expensive while offering limited image quality.
In this work, a new continuous flow system for image-based cell sorting was developed that uses dielectrophoresis to precisely handle cells in a microchannel. Dielectrophoretic forces are exerted by inhomogeneous alternating electric fields on polarisable particles (here: cells). In the present system, the electric fields can be switched on and off precisely and quickly by a signal generator. In addition to the resulting simple and effective cell handling, the system is characterised by the outstanding quality of the image data generated and its compatibility with standard microscopes. These aspects result in low complexity, making it both affordable and user-friendly.
With the developed cell sorting system, cells could be sorted reliably and efficiently according to their cytosolic staining as well as morphological properties at different optical magnifications. The achieved purity of the target cell population was up to 95% and about 85% of the sorted cells could be recovered from the system. Good agreement was achieved between the results obtained and theoretical considerations. The achieved throughput of the system was up to 12,000 cells per hour. Cell viability studies indicated a high biocompatibility of the system.
The results presented demonstrate the potential of image-based cell sorting using dielectrophoresis. The outstanding image quality and highly precise yet gentle handling of the cells set the system apart from other technologies. This results in enormous potential for processing valuable and sensitive cell samples.
A phagocyte-specific Irf8 gene enhancer establishes early conventional dendritic cell commitment
(2011)
Haematopoietic development is a complex process that is strictly hierarchically organized. Here, the phagocyte lineages are a very heterogeneous cell compartment with specialized functions in innate immunity and induction of adaptive immune responses. Their generation from a common precursor must be tightly controlled. Interference within lineage formation programs for example by mutation or change in expression levels of transcription factors (TF) is causative to leukaemia. However, the molecular mechanisms driving specification into distinct phagocytes remain poorly understood. In the present study I identify the transcription factor Interferon Regulatory Factor 8 (IRF8) as the specification factor of dendritic cell (DC) commitment in early phagocyte precursors. Employing an IRF8 reporter mouse, I showed the distinct Irf8 expression in haematopoietic lineage diversification and isolated a novel bone marrow resident progenitor which selectively differentiates into CD8α+ conventional dendritic cells (cDCs) in vivo. This progenitor strictly depends on Irf8 expression to properly establish its transcriptional DC program while suppressing a lineage-inappropriate neutrophile program. Moreover, I demonstrated that Irf8 expression during this cDC commitment-step depends on a newly discovered myeloid-specific cis-enhancer which is controlled by the haematopoietic transcription factors PU.1 and RUNX1. Interference with their binding leads to abrogation of Irf8 expression, subsequently to disturbed cell fate decisions, demonstrating the importance of these factors for proper phagocyte cell development. Collectively, these data delineate a transcriptional program establishing cDC fate choice with IRF8 in its center.
Pichia pastoris (syn. Komagataella phaffi) is a distinguished expression system widely used in industrial production processes. Recent molecular research has focused on numerous approaches to increase recombinant protein yield in P. pastoris. For example, the design of expression vectors and synthetic genetic elements, gene copy number optimization, or co-expression of helper proteins
(transcription factors, chaperones, etc.). However, high clonal variability of transformants and low screening throughput have hampered significant success.
To enhance screening capacities, display-based methodologies inherit the potential for efficient isolation of producer clones via fluorescence-activated cell sorting (FACS). Therefore, this study focused on developing a novel clone selection method that is based on the non-covalent attachment of Fab fragments on the P. pastoris cell surface to be applicable for FACS.
Initially, a P. pastoris display system was developed, which is a prerequisite for the surface capture of secreted Fabs. A Design of Experiments approach was applied to analyze the influence of various genetic elements on antibody fragment display. The combined P. pastoris formaldehyde dehydrogenase promoter (PFLD1), Saccharomyces cerevisiae invertase 2 signal peptide (ScSUC2), - agglutinin (ScSAG1) anchor protein, and the ARS of Kluyveromyces lactis (panARS) conferred highest display levels.
Subsequently, eight single-chain variable fragments (scFv) specific for the constant part of the Fab heavy or light chain were individually displayed in P. pastoris. Among the tested scFvs, the anti-human CH1 IgG domain scFv allowed the most efficient Fab capture detected by flow cytometry.
Irrespective of the Fab sequence, exogenously added as well as simultaneously secreted Fabs were successfully captured on the cell surface. Furthermore, Fab secretion capacities were shown to correlate to the level of surface-bound Fabs as demonstrated for characterized producer clones.
Flow-sorted clones presenting high amounts of Fabs showed an increase in median Fab titers (factor of 21 to 49) compared to unsorted clones when screened in deep-well plates. For selected candidates, improved functional Fab yields of sorted cells vs. unsorted cells were confirmed in an upscaled shake flask production. Since the scFv capture matrix was encoded on an episomal plasmid with inherently unstable autonomously replicating sequences (ARS), efficient plasmid curing was observed after removing the selective pressure. Hence, sorted clones could be immediately used for production without the need to modify the expression host or vector. The resulting switchable display/secretion system provides a streamlined approach for the isolation of Fab producers and subsequent Fab production.
Actin is one of the most highly conserved proteins in eukaryotes and distinct actin-related proteins with filament-forming properties are even found in prokaryotes. Due to these commonalities, actin-modulating proteins of many species share similar structural properties and proposed functions. The polymerization and depolymerization of actin are critical processes for a cell as they can contribute to shape changes to adapt to its environment and to move and distribute nutrients and cellular components within the cell. However, to what extent functions of actin-binding proteins are conserved between distantly related species, has only been addressed in a few cases. In this work, functions of Coronin-A (CorA) and Actin-interacting protein 1 (Aip1), two proteins involved in actin dynamics, were characterized. In addition, the interchangeability and function of Aip1 were investigated in two phylogenetically distant model organisms. The flowering plant Arabidopsis thaliana (encoding two homologs, AIP1-1 and AIP1-2) and in the amoeba Dictyostelium discoideum (encoding one homolog, DdAip1) were chosen because the functions of their actin cytoskeletons may differ in many aspects. Functional analyses between species were conducted for AIP1 homologs as flowering plants do not harbor a CorA gene.
In the first part of the study, the effect of four different mutation methods on the function of Coronin-A protein and the resulting phenotype in D. discoideum was revealed in two genetic knockouts, one RNAi knockdown and a sudden loss-of-function mutant created by chemical-induced dislocation (CID). The advantages and disadvantages of the different mutation methods on the motility, appearance and development of the amoebae were investigated, and the results showed that not all observed properties were affected with the same intensity. Remarkably, a new combination of Selection-Linked Integration and CID could be established.
In the second and third parts of the thesis, the exchange of Aip1 between plant and amoeba was carried out. For A. thaliana, the two homologs (AIP1-1 and AIP1-2) were analyzed for functionality as well as in D. discoideum. In the Aip1-deficient amoeba, rescue with AIP1-1 was more effective than with AIP1-2. The main results in the plant showed that in the aip1-2 mutant background, reintroduced AIP1-2 displayed the most efficient rescue and A. thaliana AIP1-1 rescued better than DdAip1. The choice of the tagging site was important for the function of Aip1 as steric hindrance is a problem. The DdAip1 was less effective when tagged at the C-terminus, while the plant AIP1s showed mixed results depending on the tag position. In conclusion, the foreign proteins partially rescued phenotypes of mutant plants and mutant amoebae, despite the organisms only being very distantly related in evolutionary terms.
A systems biological approach towards the molecular basis of heterosis in Arabidopsis thaliana
(2011)
Heterosis is defined as the superiority in performance of heterozygous genotypes compared to their corresponding genetically different homozygous parents. This phenomenon is already known since the beginning of the last century and it has been widely used in plant breeding, but the underlying genetic and molecular mechanisms are not well understood. In this work, a systems biological approach based on molecular network structures is proposed to contribute to the understanding of heterosis. Hybrids are likely to contain additional regulatory possibilities compared to their homozygous parents and, therefore, they may be able to correctly respond to a higher number of environmental challenges, which leads to a higher adaptability and, thus, the heterosis phenomenon. In the network hypothesis for heterosis, presented in this work, more regulatory interactions are expected in the molecular networks of the hybrids compared to the homozygous parents. Partial correlations were used to assess this difference in the global interaction structure of regulatory networks between the hybrids and the homozygous genotypes. This network hypothesis for heterosis was tested on metabolite profiles as well as gene expression data of the two parental Arabidopsis thaliana accessions C24 and Col-0 and their reciprocal crosses. These plants are known to show a heterosis effect in their biomass phenotype. The hypothesis was confirmed for mid-parent and best-parent heterosis for either hybrid of our experimental metabolite as well as gene expression data. It was shown that this result is influenced by the used cutoffs during the analyses. Too strict filtering resulted in sets of metabolites and genes for which the network hypothesis for heterosis does not hold true for either hybrid regarding mid-parent as well as best-parent heterosis. In an over-representation analysis, the genes that show the largest heterosis effects according to our network hypothesis were compared to genes of heterotic quantitative trait loci (QTL) regions. Separately for either hybrid regarding mid-parent as well as best-parent heterosis, a significantly larger overlap between the resulting gene lists of the two different approaches towards biomass heterosis was detected than expected by chance. This suggests that each heterotic QTL region contains many genes influencing biomass heterosis in the early development of Arabidopsis thaliana. Furthermore, this integrative analysis led to a confinement and an increased confidence in the group of candidate genes for biomass heterosis in Arabidopsis thaliana identified by both approaches.
Iron-sulfur clusters are essential enzyme cofactors. The most common and stable clusters are [2Fe-2S] and [4Fe-4S] that are found in nature. They are involved in crucial biological processes like respiration, gene regulation, protein translation, replication and DNA repair in prokaryotes and eukaryotes. In Escherichia coli, Fe-S clusters are essential for molybdenum cofactor (Moco) biosynthesis, which is a ubiquitous and highly conserved pathway. The first step of Moco biosynthesis is catalyzed by the MoaA protein to produce cyclic pyranopterin monophosphate (cPMP) from 5’GTP. MoaA is a [4Fe-4S] cluster containing radical S-adenosyl-L-methionine (SAM) enzyme. The focus of this study was to investigate Fe-S cluster insertion into MoaA under nitrate and TMAO respiratory conditions using E. coli as a model organism. Nitrate and TMAO respiration usually occur under anaerobic conditions, where oxygen is depleted. Under these conditions, E. coli uses nitrate and TMAO as terminal electron. Previous studies revealed that Fe-S cluster insertion is performed by Fe-S cluster carrier proteins. In E. coli, these proteins are known as A-type carrier proteins (ATC) by phylogenomic and genetic studies. So far, three of them have been characterized in detail in E. coli, namely IscA, SufA, and ErpA. This study shows that ErpA and IscA are involved in Fe-S cluster insertion into MoaA under nitrate and TMAO respiratory conditions. ErpA and IscA can partially replace each other in their role to provide [4Fe-4S] clusters for MoaA. SufA is not able to replace the functions of IscA or ErpA under nitrate respiratory conditions.
Nitrate reductase is a molybdoenzyme that coordinates Moco and Fe-S clusters. Under nitrate respiratory conditions, the expression of nitrate reductase is significantly increased in E. coli. Nitrate reductase is encoded in narGHJI genes, the expression of which is regulated by the transcriptional regulator, fumarate and nitrate reduction (FNR). The activation of FNR under conditions of nitrate respiration requires one [4Fe-4S] cluster. In this part of the study, we analyzed the insertion of Fe-S cluster into FNR for the expression of narGHJI genes in E. coli. The results indicate that ErpA is essential for the FNR-dependent expression of the narGHJI genes, a role that can be replaced partially by IscA and SufA when they are produced sufficiently under the conditions tested. This observation suggests that ErpA is indirectly regulating nitrate reductase expression via inserting Fe-S clusters into FNR.
Most molybdoenzymes are complex multi-subunit and multi-cofactor-containing enzymes that coordinate Fe-S clusters, which are functioning as electron transfer chains for catalysis. In E. coli, periplasmic aldehyde oxidoreductase (PaoAC) is a heterotrimeric molybdoenzyme that
consists of flavin, two [2Fe-2S], one [4Fe-4S] cluster and Moco. In the last part of this study, we investigated the insertion of Fe-S clusters into E. coli periplasmic aldehyde oxidoreductase (PaoAC). The results show that SufA and ErpA are involved in inserting [4Fe-4S] and [2Fe-2S] clusters into PaoABC, respectively under aerobic respiratory conditions.
In the present thesis, AC electrokinetic forces, like dielectrophoresis and AC electroosmosis, were demonstrated as a simple and fast method to functionalize the surface of nanoelectrodes with submicrometer sized biological objects. These nanoelectrodes have a cylindrical shape with a diameter of 500 nm arranged in an array of 6256 electrodes. Due to its medical relevance influenza virus as well as anti-influenza antibodies were chosen as a model organism. Common methods to bring antibodies or proteins to biosensor surfaces are complex and time-consuming. In the present work, it was demonstrated that by applying AC electric fields influenza viruses and antibodies can be immobilized onto the nanoelectrodes within seconds without any prior chemical modification of neither the surface nor the immobilized biological object. The distribution of these immobilized objects is not uniform over the entire array, it exhibits a decreasing gradient from the outer row to the inner ones. Different causes for this gradient have been discussed, such as the vortex-shaped fluid motion above the nanoelectrodes generated by, among others, electrothermal fluid flow. It was demonstrated that parts of the accumulated material are permanently immobilized to the electrodes. This is a unique characteristic of the presented system since in the literature the AC electrokinetic immobilization is almost entirely presented as a method just for temporary immobilization. The spatial distribution of the immobilized viral material or the anti-influenza antibodies at the electrodes was observed by either the combination of fluorescence microscopy and deconvolution or by super-resolution microscopy (STED). On-chip immunoassays were performed to examine the suitability of the functionalized electrodes as a potential affinity-based biosensor. Two approaches were pursued: A) the influenza virus as the bio-receptor or B) the influenza virus as the analyte. Different sources of error were eliminated by ELISA and passivation experiments. Hence, the activity of the immobilized object was inspected by incubation with the analyte. This resulted in the successful detection of anti-influenza antibodies by the immobilized viral material. On the other hand, a detection of influenza virus particles by the immobilized anti-influenza antibodies was not possible. The latter might be due to lost activity or wrong orientation of the antibodies. Thus, further examinations on the activity of by AC electric fields immobilized antibodies should follow. When combined with microfluidics and an electrical read-out system, the functionalized chips possess the potential to serve as a rapid, portable, and cost-effective point-of-care (POC) device. This device can be utilized as a basis for diverse applications in diagnosing and treating influenza, as well as various other pathogens.
Assumed comparable environmental conditions of early Mars and early Earth in 3.7 Ga ago – at a time when first fossil records of life on Earth could be found – suggest the possibility of life emerging on both planets in parallel. As conditions changed, the hypothetical life on Mars either became extinct or was able to adapt and might still exist in biological niches. The controversial discussed detection of methane on Mars led to the assumption, that it must have a recent origin – either abiotic through active volcanism or chemical processes, or through biogenic production. Spatial and seasonal variations in the detected methane concentrations and correlations between the presence of water vapor and geological features such as subsurface hydrogen, which are occurring together with locally increased detected concentrations of methane, gave fuel to the hypothesis of a possible biological source of the methane on Mars.
Therefore the phylogenetically old methanogenic archaea, which have evolved under early Earth conditions, are often used as model-organisms in astrobiological studies to investigate the potential of life to exist in possible extraterrestrial habitats on our neighboring planet. In this thesis methanogenic archaea originating from two extreme environments on Earth were investigated to test their ability to be active under simulated Mars analog conditions. These extreme environments – the Siberian permafrost-affected soil and the chemoautotrophically based terrestrial ecosystem of Movile cave, Romania – are regarded as analogs for possible Martian (subsurface) habitats. Two novel species of methanogenic archaea isolated from these environments were described within the frame of this thesis.
It could be shown that concentrations up to 1 wt% of Mars regolith analogs added to the growth media had a positive influence on the methane production rates of the tested methanogenic archaea, whereas higher concentrations resulted in decreasing rates. Nevertheless it was possible for the organisms to metabolize when incubated on water-saturated soil matrixes made of Mars regolith analogs without any additional nutrients. Long-term desiccation resistance of more than 400 days was proven with reincubation and indirect counting of viable cells through a combined treatment with propidium monoazide (to inactivate DNA of destroyed cells) and quantitative PCR. Phyllosilicate rich regolith analogs seem to be the best soil mixtures for the tested methanogenic archaea to be active under Mars analog conditions. Furthermore, in a simulation chamber experiment the activity of the permafrost methanogen strain Methanosarcina soligelidi SMA-21 under Mars subsurface analog conditions could be proven. Through real-time wavelength modulation spectroscopy measurements the increase in the methane concentration at temperatures down to -5 °C could be detected.
The results presented in this thesis contribute to the understanding of the activity potential of methanogenic archaea under Mars analog conditions and therefore provide insights to the possible habitability of present-day Mars (near) subsurface environments. Thus, it contributes also to the data interpretation of future life detection missions on that planet. For example the ExoMars mission of the European Space Agency (ESA) and Roscosmos which is planned to be launched in 2018 and is aiming to drill in the Martian subsurface.
Adaptation of nature conservation to global change: an ecosystem-based approach to priority-setting
(2013)
The importance of cryptic diversity in rotifers is well understood regarding its ecological consequences, but there remains an in depth comprehension of the underlying molecular mechanisms and forces driving speciation. Temperature has been found several times to affect species spatio-temporal distribution and organisms’ performance, but we lack information on the mechanisms that provide thermal tolerance to rotifers. High cryptic diversity was found recently in the freshwater rotifer “Brachionus calyciflorus”, showing that the complex comprises at least four species: B. calyciflorus sensu stricto (s.s.), B. fernandoi, B. dorcas, and B. elevatus. The temporal succession among species which have been observed in sympatry led to the idea that temperature might play a crucial role in species differentiation.
The central aim of this study was to unravel differences in thermal tolerance between species of the former B. calyciflorus species complex by comparing phenotypic and gene expression responses. More specifically, I used the critical maximum temperature as a proxy for inter-species differences in heat-tolerance; this was modeled as a bi-dimensional phenotypic trait taking into consideration the intention and the duration of heat stress. Significant differences on heat-tolerance between species were detected, with B. calyciflorus s.s. being able to tolerate higher temperatures than B. fernandoi.
Based on evidence of within species neutral genetic variation, I further examined adaptive genetic variability within two different mtDNA lineages of the heat tolerant B. calyciflorus s.s. to identify SNPs and genes under selection that might reflect their adaptive history. These analyses did not reveal adaptive genetic variation related to heat, however, they show putatively adaptive genetic variation which may reflect local adaptation. Functional enrichment of putatively positively selected genes revealed signals of adaptation in genes related to “lipid metabolism”, “xenobiotics biodegradation and metabolism” and “sensory system”, comprising candidate genes which can be utilized in studies on local adaptation. An absence of genetically-based differences in thermal adaptation between the two mtDNA lineages, together with our knowledge that B. calyciflorus s.s. can withstand a broad range of temperatures, led to the idea to further investigate shared transcriptomic responses to long-term exposure to high and low temperatures regimes. With this, I identified candidate genes that are involved in the response to temperature imposed stress. Lastly, I used comparative transcriptomics to examine responses to imposed heat-stress in heat-tolerant and heat-sensitive Brachionus species. I found considerably different patterns of gene expression in the two species. Most striking are patterns of expression regarding the heat shock proteins (hsps) between the two species. In the heat-tolerant, B. calyciflorus s.s., significant up-regulation of hsps at low temperatures was indicative of a stress response at the cooler end of the temperature regimes tested here. In contrast, in the heat-sensitive B. fernandoi, hsps generally exhibited up-regulation of these genes along with rising temperatures. Overall, identification of differences in expression of genes suggests suppression of protein biosynthesis to be a mechanism to increase thermal tolerance. Observed patterns in population growth are correlated with the hsp gene expression differences, indicating that this physiological stress response is indeed related to phenotypic life history performance.
The rise of evolutionary novelties is one of the major drivers of evolutionary diversification. African weakly-electric fishes (Teleostei, Mormyridae) have undergone an outstanding adaptive radiation, putatively owing to their ability to communicate through species-specific Electric Organ Discharges (EODs) produced by a novel, muscle-derived electric organ. Indeed, such EODs might have acted as effective pre-zygotic isolation mechanisms, hence favoring ecological speciation in this group of fishes. Despite the evolutionary importance of this organ, genetic investigations regarding its origin and function have remained limited.
The ultimate aim of this study is to better understand the genetic basis of EOD production by exploring the transcriptomic profiles of the electric organ and of its ancestral counterpart, the skeletal muscle, in the genus Campylomormyrus. After having established a set of reference transcriptomes using “Next-Generation Sequencing” (NGS) technologies, I performed in silico analyses of differential expression, in order to identify sets of genes that might be responsible for the functional differences observed between these two kinds of tissues. The results of such analyses indicate that: i) the loss of contractile activity and the decoupling of the excitation-contraction processes are reflected by the down-regulation of the corresponding genes in the electric organ; ii) the metabolic activity of the electric organ might be specialized towards the production and turnover of membrane structures; iii) several ion channels are highly expressed in the electric organ in order to increase excitability, and iv) several myogenic factors might be down-regulated by transcription repressors in the EO.
A secondary task of this study is to improve the genus level phylogeny of Campylomormyrus by applying new methods of inference based on the multispecies coalescent model, in order to reduce the conflict among gene trees and to reconstruct a phylogenetic tree as closest as possible to the actual species-tree. By using 1 mitochondrial and 4 nuclear markers, I was able to resolve the phylogenetic relationships among most of the currently described Campylomormyrus species. Additionally, I applied several coalescent-based species delimitation methods, in order to test the hypothesis that putatively cryptic species, which are distinguishable only from their EOD, belong to independently evolving lineages. The results of this analysis were additionally validated by investigating patterns of diversification at 16 microsatellite loci. The results suggest the presence of a new, yet undescribed species of Campylomormyrus.
The African weakly electric fish genus Campylomormyrus includes 15 described species mostly native to the Congo River and its tributaries. They are considered sympatric species, because their distribution area overlaps. These species generate species-specific electric organ discharges (EODs) varying in waveform characteristics, including duration, polarity, and phase number. They exhibit also pronounced divergence in their snout, i.e. the length, thickness, and curvature. The diversifications in these two phenotypical traits (EOD and snout) have been proposed as key factors promoting adaptive radiation in Campylomormyrus. The role of EODs as a pre-zygotic isolation mechanism driving sympatric speciation by promoting assortative mating has been examined using behavioral, genetical, and histological approaches. However, the evolutionary effects of the snout morphology and its link to species divergence have not been closely examined. Hence, the main objective of this study is to investigate the effect of snout morphology diversification and its correlated EOD to better understand their sympatric speciation and evolutionary drivers. Moreover, I aim to utilize the intragenus and intergenus hybrids of Campylomormyrus to better understand trait divergence as well as underlying molecular/genetic mechanisms involved in the radiation scenario. To this end, I utilized three different approaches: feeding behavior analysis, diet assessment, and geometric morphometrics analysis. I performed feeding behavior experiments to evaluate the concept of the phenotype-environment correlation by testing whether Campylomormyrus species show substrate preferences. The behavioral experiments showed that the short snout species exhibits preference to sandy substrate, the long snout species prefers a stone substrate, and the species with intermediate snout size does not exhibit any substrate preference. The experiments suggest that the diverse feeding apparatus in the genus Campylomormyrus may have evolved in adaptation to their microhabitats. I also performed diet assessments of sympatric Campylomormyrus species and a sister genus species (Gnathonemus petersii) with markedly different snout morphologies and EOD using NGS-based DNA metabarcoding of their stomach contents. The diet of each species was documented showing that aquatic insects such as dipterans, coleopterans and trichopterans represent the major diet component. The results showed also that all species are able to exploit diverse food niches in their habitats. However, comparing the diet overlap indices showed that different snout morphologies and the associated divergence in the EOD translated into different prey spectra. These results further support the idea that the EOD could be a ‘magic trait’ triggering both adaptation and reproductive isolation. Geometric morphometrics method was also used to compare the phenotypical shape traits of the F1 intragenus (Campylomormyrus) and intergenus (Campylomormyrus species and Gnathonemus petersii) hybrids relative to their parents. The hybrids of these species were well separated based on the morphological traits, however the hybrid phenotypic traits were closer to the short-snouted species. In addition, the likelihood that the short snout expressed in the hybrids increases with increasing the genetic distance of the parental species. The results confirmed that additive effects produce intermediate phenotypes in F1-hybrids. It seems, therefore, that morphological shape traits in hybrids, unlike the physiological traits, were not expressed straightforward.
The ultimate aim of this study is to better understand the relevance of weak electricity in the adaptive radiation of the African mormyrid fish. The chosen model taxon, the genus Campylomormyrus, exhibits a wide diversity of electric organ discharge (EOD) waveform types. Their EOD is age, sex, and species specific and is an important character for discriminating among species that are otherwise cryptic. After having established a complementary set of molecular markers, I examined the radiation of Campylomormyrus by a combined approach of molecular data (sequence data from the mitochondrial cytochrome b and the nuclear S7 ribosomal protein gene, as well as 18 microsatellite loci, especially developed for the genus Campylomormyrus), observation of ontogeny and diversification of EOD waveform, and morphometric analysis of relevant morphological traits. I built up the first convincing phylogenetic hypothesis for the genus Campylomormyrus. Taking advantage of microsatellite data, the identified phylogenetic clades proved to be reproductively isolated biological species. This way I detected at least six species occurring in sympatry near Brazzaville/Kinshasa (Congo Basin). By combining molecular data and EOD analyses, I could show that there are three cryptic species, characterised by their own adult EOD types, hidden under a common juvenile EOD form. In addition, I confirmed that adult male EOD is species-specific and is more different among closely related species than among more distantly related ones. This result and the observation that the EOD changes with maturity suggest its function as a reproductive isolation mechanism. As a result of my morphometric shape analysis, I could assign species types to the identified reproductively isolated groups to produce a sound taxonomy of the group. Besides this, I could also identify morphological traits relevant for the divergences between the identified species. Among them, the variations I found in the shape of the trunk-like snout, suggest the presence of different trophic specializations; therefore, this trait might have been involved in the ecological radiation of the group. In conclusion, I provided a convincing scenario envisioning an adaptive radiation of weakly electric fish triggered by sexual selection via assortative mating due to differences in EOD characteristics, but caused by a divergent selection of morphological traits correlated with the feeding ecology.
Im Bereich der medizinischen Diagnostik spielen DNA-Chips eine immer wichtigere Rolle. Dabei werden Glas- oder Silikon-Oberflächen mit Tausenden von einzelsträngigen DNA-Fragmenten, sog. Sonden, bestückt, die mit den passenden DNA-Fragmenten in der zugefügten Patientenprobe verschmelzen. Die Auswertung solcher Messungen liefert die Diagnose für Krankheiten wie z.B. Krebs, Alzheimer oder für den Nachweis pathogener Erreger. Durch fortschreitende Miniaturisierung dieser Meßsysteme können bis zu 40.000 Genfragmente des Menschen in einer einzigen Messung analysiert werden. Neben den DNA-Fragmenten können Bio-Chips auch für andere biologische Komponenten wie Antikörper und Proteine eingesetzt werden, wobei bei letzteren neben der Bindung auch die Aktivität ein wichtiger Diagnoseparamter ist. Am Fraunhofer-Institut für medizinische Technik und am Lehrstuhl für Analytische Biochemie der Universität Potsdam wurden im Rahmen einer Doktorarbeit Methoden entwickelt, die es ermöglichen auf nukleinsäuremodifizierten Sensoroberflächen die Aktivität von Proteinen zu messen. Es wurden Nukleinsäuren auf Oberflächen optischer Sensoren verankert. Diese fungierten als Rezeptor für die Proteine sowie auch als Substrat für Restriktionsenzyme, die Nukleinsäuren schneiden und Polymerasen, die Nukleinsäuren synthetisieren und verlängern können. Seine Anwendung fand diese Messmethode in der Messung der Aktivität des Proteins Telomerase, das in 90% aller Tumore erhöhte Aktivität gegenüber gesunden Zellen aufweist. Die Vorteile dieses neuen Assays gegenüber älteren Methoden liegt im Verzicht auf radioaktiv-markierten Komponenten und einer deutlich verkürzten Analysezeit. Die Arbeit schliesst mit einem funktionsfähigen Nachweis der Telomeraseaktivität im Zellextrakt von gesunden und kranken Zellen. Der direkte Einfluß von Hemmstoffen auf die Aktivität konnte sichtbar gemacht werden, und steht daher bei der Entwicklung neuer Tumor-Diagnostika und Therapeutika zur Verfügung.
Over the last decades, the world’s population has been growing at a faster rate, resulting in increased urbanisation, especially in developing countries. More than half of the global population currently lives in urbanised areas with an increasing tendency. The growth of cities results in a significant loss of vegetation cover, soil compaction and sealing of the soil surface which in turn results in high surface runoff during high-intensity storms and causes the problem of accelerated soil water erosion on streets and building grounds. Accelerated soil water erosion is a serious environmental problem in cities as it gives rise to the contamination of aquatic bodies, reduction of ground water recharge and increase in land degradation, and also results in damages to urban infrastructures, including drainage systems, houses and roads. Understanding the problem of water erosion in urban settings is essential for the sustainable planning and management of cities prone to water erosion. However, in spite of the vast existence of scientific literature on water erosion in rural regions, a concrete understanding of the underlying dynamics of urban erosion still remains inadequate for the urban dryland environments.
This study aimed at assessing water erosion and the associated socio-environmental determinants in a typical dryland urban area and used the city of Windhoek, Namibia, as a case study. The study used a multidisciplinary approach to assess the problem of water erosion. This included an in depth literature review on current research approaches and challenges of urban erosion, a field survey method for the quantification of the spatial extent of urban erosion in the dryland city of Windhoek, and face to face interviews by using semi-structured questionnaires to analyse the perceptions of stakeholders on urban erosion.
The review revealed that around 64% of the literatures reviewed were conducted in the developed world, and very few researches were carried out in regions with extreme climate, including dryland regions. Furthermore, the applied methods for erosion quantification and monitoring are not inclusive of urban typical features and they are not specific for urban areas. The reviewed literature also lacked aspects aimed at addressing the issues of climate change and policies regarding erosion in cities. In a field study, the spatial extent and severity of an urban dryland city, Windhoek, was quantified and the results show that nearly 56% of the city is affected by water erosion showing signs of accelerated erosion in the form of rills and gullies, which occurred mainly in the underdeveloped, informal and semi-formal areas of the city. Factors influencing the extent of erosion in Windhoek included vegetation cover and type, socio-urban factors and to a lesser extent slope estimates. A comparison of an interpolated field survey erosion map with a conventional erosion assessment tool (the Universal Soil Loss Equation) depicted a large deviation in spatial patterns, which underlines the inappropriateness of traditional non-urban erosion tools to urban settings and emphasises the need to develop new erosion assessment and management methods for urban environments. It was concluded that measures for controlling water erosion in the city need to be site-specific as the extent of erosion varied largely across the city.
The study also analysed the perceptions and understanding of stakeholders of urban water erosion in Windhoek, by interviewing 41 stakeholders using semi-structured questionnaires. The analysis addressed their understanding of water erosion dynamics, their perceptions with regards to the causes and the seriousness of erosion damages, and their attitudes towards the responsibilities for urban erosion. The results indicated that there is less awareness of the process as a phenomenon, instead there is more awareness of erosion damages and the factors contributing to the damages. About 69% of the stakeholders considered erosion damages to be ranging from moderate to very serious. However, there were notable disparities between the private householders and public authority groups. The study further found that the stakeholders have no clear understanding of their responsibilities towards the management of the control measures and payment for the damages. The private householders and local authority sectors pointed fingers at each other for the responsibilities for erosion damage payments and for putting up prevention measures. The reluctance to take responsibility could create a predicament for areas affected, specifically in the informal settlements where land management is not carried out by the local authority and land is not owned by the occupants.
The study concluded that in order to combat urban erosion, it is crucial to understand diverse dynamics aggravating the process of urbanisation from different scales. Accordingly, the study suggests that there is an urgent need for the development of urban-specific approaches that aim at: (a) incorporating the diverse socio-economic-environmental aspects influencing erosion, (b) scientifically improving natural cycles that influence water storages and nutrients for plants in urbanised dryland areas in order to increase the amount of vegetation cover, (c) making use of high resolution satellite images to improve the adopted methods for assessing urban erosion, (d) developing water erosion policies, and (e) continuously monitoring the impact of erosion and the influencing processes from local, national and international levels.
The need to develop sustainable resource management strategies for semi-arid and arid rangelands is acute as non-adapted grazing strategies lead to irreversible environmental problems such as desertification and associated loss of economic support to society. In such vulnerable ecosystems, successful implementation of sustainable management strategies depends on well-founded under-standing of processes at different scales that underlay the complex system dynamic. There is ample evidence that, in contrast to traditional sectoral approaches, only interdisciplinary research does work for resolving problems in conservation and natural resource management. In this thesis I combined a range of modeling approaches that integrate different disciplines and spatial scales in order to contribute to basic guidelines for sustainable management of semi-arid and arid range-lands. Since water availability and livestock management are seen as most potent determinants for the dynamics of semi-arid and arid ecosystems I focused on (i) the interaction of ecological and hydro-logical processes and (ii) the effect of farming strategies. First, I developed a grid-based and small-scaled model simulating vegetation dynamics and inter-linked hydrological processes. The simulation results suggest that ecohydrological interactions gain importance in rangelands with ascending slope where vegetation cover serves to obstruct run-off and decreases evaporation from the soil. Disturbances like overgrazing influence these positive feedback mechanisms by affecting vegetation cover and composition. In the second part, I present a modeling approach that has the power to transfer and integrate ecological information from the small scale vegetation model to the landscape scale, most relevant for the conservation of biodiversity and sustainable management of natural resources. I combined techniques of stochastic modeling with remotely sensed data and GIS to investigate to which ex-tent spatial interactions, like the movement of surface water by run-off in water limited environments, affect ecosystem functioning at the landscape scale. My simulation experiments show that overgrazing decreases the number of vegetation patches that act as hydrological sinks and run-off increases. The results of both simulation models implicate that different vegetation types should not only be regarded as provider of forage production but also as regulator of ecosystem functioning. Vegetation patches with good cover of perennial vegetation are capable to catch and conserve surface run-off from degraded surrounding areas. Therefore, downstream out of the simulated system is prevented and efficient use of water resources is guaranteed at all times. This consequence also applies to commercial rotational grazing strategies for semi-arid and arid rangelands with ascending slope where non-degraded paddocks act as hydrological sinks. Finally, by the help of an integrated ecological-economic modeling approach, I analyzed the relevance of farmers’ ecological knowledge for longterm functioning of semi-arid and arid grazing systems under current and future climatic conditions. The modeling approach consists of an ecological and an economic module and combines relevant processes on either level. Again, vegetation dynamics and forage productivity is derived by the small-scaled vegetation model. I showed that sustainable management of semi-arid and arid rangelands relies strongly on the farmers’ knowledge on how the ecosystem works. Furthermore, my simulation results indicate that the projected lower annual rainfall due to climate change in combination with non-adapted grazing strategies adds an additional layer of risk to these ecosystems that are already prone to land degradation. All simulation models focus on the most essential factors and ignore specific details. Therefore, even though all simulation models are parameterized for a specific dwarf shrub savanna in arid southern Namibia, the conclusions drawn are applicable for semi-arid and arid rangelands in general.
Analyse der Funktion der dualen Lokalisation der 3-Mercaptopyruvat Sulfurtransferase im Menschen
(2017)
Für ein tiefergehendes Verständnis von Entwicklung und Funktion der quergestreiften Muskulatur ist eine Betrachtung der am Aufbau der Myofibrillen, den kontraktilen Organellen, beteiligten Proteine essentiell. Die vorliegende Arbeit beschäftigt sich mit Myomesin, einem Protein der sarkomeren M-Bande. Zunächst wurde die cDNA des humanen Myomesins vollständig kloniert, sequenziert und nachfolgend die komplette Größe der aminoterminalen Kopfdomäne bestimmt. Es konnte gezeigt werden, daß Myomesin in vitro mit den Domänen 1 und 12 an Myosin bindet. Die muskelspezifische Isoform der Kreatinkinase bindet an die Domänen 7 und 8. Stimulations- und Inhibitionsexperimente belegen, daß Myomesin an Serin 618 in vivo durch die Proteinkinase A phosphoryliert wird und daß diese Phosphorylierung durch Aktivierung beta2-adrenerger Rezeptoren stimulierbar ist. In Muskelgewebeproben von Patienten, die an der Hypertrophen Kardiomyopathie, einer genetisch bedingten Herzmuskelkrankheit, erkrankt sind, konnte mit einem neu hergestellten phosphorylierungsabhängigen Antikörper eine Verminderung der Menge phosphorylierten Myomesins nachgewiesen werden. Mögliche Ursachen werden diskutiert. Myomesin bildet Dimere, wie durch hefegenetische und biochemische Experimente gezeigt werden konnte. Die Dimerisierung von Myomesin könnte eine zentrale Rolle für den Einbau der Myosinfilamente in die naszierende Myofibrille haben. Anhand der gewonnenen Daten wurde ein verbessertes Modell der zentralen M-Bande erstellt.
Ziel der vorliegenden Arbeit war die Entwicklung einer SNP-Genotypisierungsmethode mit auf Mikroarrays immobilisierten PCR-Produkten. Für die Analyse wurde ein faseroptischer Affinitätssensor bzw. ein Durchfluss-Biochip-Scanner mit integrierter Fluoreszenzdetektion verwendet. An den immobilisierten Analyten (PCR-Produkten) wurde eine Fluoreszenzoligonukleotidsonde hybridisiert und anschließend die Dissoziation der Sonde im Fluss verfolgt. Die Diskriminierung von Wildtyp- und Mutanten-DNA erfolgte durch die kinetische Auswertung der Dissoziationskurven sowie durch die Analyse der Fluoreszenzintensität. Die Versuche am faseroptischen Affinitätssensor zeigten, dass DNA-DNA-Hybride sowohl von Oligonukleotiden als auch von PCR-Produkten ein typisches Dissoziationsverhalten aufweisen, wobei fehlgepaarte Hybride eine signifikant schnellere Dissoziation zeigen als perfekt passende Hybride. Dieser Geschwindigkeitsunterschied lässt sich durch den Vergleich der jeweiligen kinetischen Geschwindigkeitskonstanten kD quantitativ erfassen. Da die Kopplung des Analyten an der Chipoberfläche sowie die Hybridisierungs- und Dissoziationsparameter essentiell für die Methodenentwicklung war, wurden die Parameter für ein optimales Spotting und die Immobilisierung von PCR-Produkten ermittelt. Getestet wurden die affine Kopplung von biotinylierten PCR-Produkten an Streptavidin-, Avidin- und NeutrAvidin-Oberflächen sowie die kovalente Bindung von phosphorylierten Amplifikaten mit der EDC/Methylimidazol-Methode. Die besten Ergebnisse sowohl in Spotform und -homogenität als auch im Signal/Rausch-Verhältnis wurden an NeutrAvidin-Oberflächen erreicht. Für die Etablierung der Mikroarray-Genotypisierungsmethode durch kinetische Analyse nach einem Hybridisierungsexperiment wurden Sondenlänge, Puffersystem, Spotting-Konzentration des Analyten sowie Temperatur optimiert. Das Analysensystem erlaubte es, PCR-Produkte mit einer Konzentration von 250 ng/µl in einem HEPES-EDTA-NaCl-Puffer auf mit NeutrAvidin beschichtete Glasträger zu spotten. In den anschließenden Hybridisierungs- und Dissoziationsexperimenten bei 30 °C konnte die Diskriminierung von homocygoter Wildtyp- und homocygoter Mutanten- sowie heterocygoter DNA am Beispiel von Oligonukleotid-Hybriden erreicht werden. In einer Gruppe von 24 homocygoten Patienten wurde ein Polymorphismus im SULT1A1-Gen analysiert. Sowohl durch kinetische Auswertung als auch mit der Analyse der Fluoreszenzintensität wurde der Genotyp der Proben identifiziert. Die Ergebnisse wurden mit dem Referenzverfahren, der Restriktionschnittstellenanalyse (PCR-RFLP) validiert. Lediglich ein Genotyp wurde falsch bestimmt, die Genauigkeit lag bei 96%. In einer Gruppe von 44 Patienten wurde der Genotyp eines SNP in der Adiponectin-Promotor-Region untersucht. Nach Vergleich der Analysenergebnisse mit denen eines Referenzverfahrens konnten lediglich 14 der untersuchten Genotypen bestätigt werden. Ursache für die unzureichende Genauigkeit der Methode war vor allem das schlechte Signal/Rausch-Verhältnis. Zusammenfassend kann gesagt werden, dass das in dieser Arbeit entwickelte Analysesystem für die Genotypisierung von Einzelpunktmutationen geeignet ist, homocygote Patientenproben zuverlässig zu analysieren. Prinzipiell ist das auch bei heterocygoter DNA möglich. Da nach aktuellem Kenntnisstand eine SNP-Analysemethode an immobilisierten PCR-Produkten noch nicht veröffentlicht wurde, stellt das hier entwickelte Verfahren eine Alternative zu bisher bekannten Mikroarray-Verfahren dar. Als besonders vorteilhaft erweist sich der reverse Ansatz der Methode. Der hier vorgestellte Ansatz ist eine kostengünstigere und weniger hoch dimensionierte Lösung für Fragestellungen beispielsweise in der Ernährungswissenschaft, bei denen meist eine mittlere Anzahl Patienten auf nur einige wenige SNPs zu untersuchen ist. Wenn es gelingt, durch die Weiterentwicklung der Hardware bzw. weiterer Optimierung, eine Verbesserung des Signal/Rausch-Verhältnisses und damit die Diskriminierung von heterocygoter DNA zu erreichen, kann diese Methode zukünftig bei der Analyse von mittelgroßen Patientengruppen alternativ zu anderen Genotypisierungsmethoden verwendet werden.
Metabolic systems tend to exhibit steady states that can be measured in terms of their concentrations and fluxes. These measurements can be regarded as a phenotypic representation of all the complex interactions and regulatory mechanisms taking place in the underlying metabolic network. Such interactions determine the system's response to external perturbations and are responsible, for example, for its asymptotic stability or for oscillatory trajectories around the steady state. However, determining these perturbation responses in the absence of fully specified kinetic models remains an important challenge of computational systems biology. Structural kinetic modeling (SKM) is a framework to analyse whether a metabolic steady state remains stable under perturbation, without requiring detailed knowledge about individual rate equations. It provides a parameterised representation of the system's Jacobian matrix in which the model parameters encode information about the enzyme-metabolite interactions. Stability criteria can be derived by generating a large number of structural kinetic models (SK-models) with randomly sampled parameter sets and evaluating the resulting Jacobian matrices. The parameter space can be analysed statistically in order to detect network positions that contribute significantly to the perturbation response. Because the sampled parameters are equivalent to the elasticities used in metabolic control analysis (MCA), the results are easy to interpret biologically. In this project, the SKM framework was extended by several novel methodological improvements. These improvements were evaluated in a simulation study using a set of small example pathways with simple Michaelis Menten rate laws. Afterwards, a detailed analysis of the dynamic properties of the neuronal TCA cycle was performed in order to demonstrate how the new insights obtained in this work could be used for the study of complex metabolic systems. The first improvement was achieved by examining the biological feasibility of the elasticity combinations created during Monte Carlo sampling. Using a set of small example systems, the findings showed that the majority of sampled SK-models would yield negative kinetic parameters if they were translated back into kinetic models. To overcome this problem, a simple criterion was formulated that mitigates such infeasible models and the application of this criterion changed the conclusions of the SKM experiment. The second improvement of this work was the application of supervised machine-learning approaches in order to analyse SKM experiments. So far, SKM experiments have focused on the detection of individual enzymes to identify single reactions important for maintaining the stability or oscillatory trajectories. In this work, this approach was extended by demonstrating how SKM enables the detection of ensembles of enzymes or metabolites that act together in an orchestrated manner to coordinate the pathways response to perturbations. In doing so, stable and unstable states served as class labels, and classifiers were trained to detect elasticity regions associated with stability and instability. Classification was performed using decision trees and relevance vector machines (RVMs). The decision trees produced good classification accuracy in terms of model bias and generalizability. RVMs outperformed decision trees when applied to small models, but encountered severe problems when applied to larger systems because of their high runtime requirements. The decision tree rulesets were analysed statistically and individually in order to explore the role of individual enzymes or metabolites in controlling the system's trajectories around steady states. The third improvement of this work was the establishment of a relationship between the SKM framework and the related field of MCA. In particular, it was shown how the sampled elasticities could be converted to flux control coefficients, which were then investigated for their predictive information content in classifier training. After evaluation on the small example pathways, the methodology was used to study two steady states of the neuronal TCA cycle with respect to their intrinsic mechanisms responsible for stability or instability. The findings showed that several elasticities were jointly coordinated to control stability and that the main source for potential instabilities were mutations in the enzyme alpha-ketoglutarate dehydrogenase.
Recent high-throughput technologies enable the acquisition of a variety of complementary data and imply regulatory networks on the systems biology level. A common approach to the reconstruction of such networks is the cluster analysis which is based on a similarity measure. We use the information theoretic concept of the mutual information, that has been originally defined for discrete data, as a measure of similarity and propose an extension to a commonly applied algorithm for its calculation from continuous biological data. We compare our approach to previously existing algorithms. We develop a performance optimised software package for the application of the mutual information to large-scale datasets. Furthermore, we design and implement a web-based service for the analysis of integrated data measured with different technologies. Application to biological data reveals biologically relevant groupings and reconstructed signalling networks show agreements with physiological findings.
For the first time the transcriptional reprogramming of distinct root cortex cells during the arbuscular mycorrhizal (AM) symbiosis was investigated by combining Laser Capture Mirodissection and Affymetrix GeneChip® Medicago genome array hybridization. The establishment of cryosections facilitated the isolation of high quality RNA in sufficient amounts from three different cortical cell types. The transcript profiles of arbuscule-containing cells (arb cells), non-arbuscule-containing cells (nac cells) of Rhizophagus irregularis inoculated Medicago truncatula roots and cortex cells of non-inoculated roots (cor) were successfully explored. The data gave new insights in the symbiosis-related cellular reorganization processes and indicated that already nac cells seem to be prepared for the upcoming fungal colonization. The mycorrhizal- and phosphate-dependent transcription of a GRAS TF family member (MtGras8) was detected in arb cells and mycorrhizal roots. MtGRAS shares a high sequence similarity to a GRAS TF suggested to be involved in the fungal colonization processes (MtRAM1). The function of MtGras8 was unraveled upon RNA interference- (RNAi-) mediated gene silencing. An AM symbiosis-dependent expression of a RNAi construct (MtPt4pro::gras8-RNAi) revealed a successful gene silencing of MtGras8 leading to a reduced arbuscule abundance and a higher proportion of deformed arbuscules in root with reduced transcript levels. Accordingly, MtGras8 might control the arbuscule development and life-time. The targeting of MtGras8 by the phosphate-dependent regulated miRNA5204* was discovered previously (Devers et al., 2011). Since miRNA5204* is known to be affected by phosphate, the posttranscriptional regulation might represent a link between phosphate signaling and arbuscule development. In this work, the posttranscriptional regulation was confirmed by mis-expression of miRNA5204* in M. truncatula roots. The miRNA-mediated gene silencing affects the MtGras8 transcript abundance only in the first two weeks of the AM symbiosis and the mis-expression lines seem to mimic the phenotype of MtGras8-RNAi lines. Additionally, MtGRAS8 seems to form heterodimers with NSP2 and RAM1, which are known to be key regulators of the fungal colonization process (Hirsch et al., 2009; Gobbato et al., 2012). These data indicate that MtGras8 and miRNA5204* are linked to the sym pathway and regulate the arbuscule development in phosphate-dependent manner.
Analysis of organellar genome dynamics and development of methods for organelle transformation
(2010)
The development of fast and reliable biochemical tools for on-site screening in environmental analysis was the main target of the present work. Due to various hazardous effects such as endocrine disruption and toxicity phenolic compounds are key analytes in environmental analysis and thus were chosen as model analytes. Three different methods were developed: For the enzymatic detection of phenols in environmental samples an enzyme-based biosensor was developed. In contrast to reported work using tyrosinase or peroxidases, we developed a biosensor based on glucose dehydrogenase as biorecognition element. This biosensor was devoted for an application in a laboratory flow system as well as in a portable device for on-site measurements. This enzymatic detection is applicable only for a limited number of phenols due to substrate specificity of the enzyme. For other relevant compounds based on a phenolic structure (i.e. nitrophenol, alkylphenols and alkylphenol ethoxylates) immunological methods had to be developed. The electrochemical GDH-biosensor was used as the label detector in these immunoassays. Two heterogeneous immunoassays were developed where ßGal was used as the label. An electrochemical method for the determination of the marker enzyme activity was processed. The separation step was realized with protein A/G columns (laboratory flow system) or by direct immobilization of the antibodies in small disposable capillaries (on-site analysis). All methods were targeted on the contemporary analysis of small numbers of samples.
Analysis of phosphorylation dynamics under nitrogen limitation and nitrate or ammonium resupply
(2009)
Rubisco catalyses the first step of CO2 assimilation into plant biomass. Despite its crucial role, it is notorious for its low catalytic rate and its tendency to fix O2 instead of CO2, giving rise to a toxic product that needs to be recycled in a process known as photorespiration. Since almost all our food supply relies on Rubisco, even small improvements in its specificity for CO2 could lead to an improvement of photosynthesis and ultimately, crop yield. In this work, we attempted to improve photosynthesis by decreasing photorespiration with an artificial CCM based on a fusion between Rubisco and a carbonic anhydrase (CA).
A preliminary set of plants contained fusions between one of two CAs, bCA1 and CAH3, and the N- or C-terminus of RbcL connected by a small flexible linker of 5 amino acids. Subsequently, further fusion proteins were created between RbcL C-terminus and bCA1/CAH3 with linkers of 14, 23, 32, and 41 amino acids. The transplastomic tobacco plants carrying fusions with bCA1 were able to grow autotrophically even with the shortest linkers, albeit at a low rate, and accumulated very low levels of the fusion protein. On the other hand, plants carrying fusions with CAH3 were autotrophic only with the longer linkers. The longest linker permitted nearly wild-type like growth of the plants carrying fusions with CAH3 and increased the levels of fusion protein, but also of smaller degradation products.
The fusion of catalytically inactive CAs to RbcL did not cause a different phenotype from the fusions with catalytically active CAs, suggesting that the selected CAs were not active in the fusion with RbcL or their activity did not have an effect on CO2 assimilation. However, fusions to RbcL did not abolish RbcL catalytic activity, as shown by the autotrophic growth, gas exchange and in vitro activity measurements. Furthermore, Rubisco carboxylation rate and specificity for CO2 was not altered in some of the fusion proteins, suggesting that despite the defect in RbcL folding or assembly caused by the fusions, the addition of 60-150 amino acids to RbcL does not affect its catalytic properties. On the contrary, most growth defects of the plants carrying RbcL-CA fusions are related to their reduced Rubisco content, likely caused by impaired RbcL folding or assembly. Finally, we found that fusions with RbcL C-terminus were better tolerated than with the N-terminus, and increasing the length of the linker relieved the growth impairment imposed by the fusion to RbcL. Together, the results of this work constitute considerable relevant findings for future Rubisco engineering.
Starch is an essential biopolymer produced by plants. Starch can be made inside source tissue (such as leaves) and sink tissue (such as fruits and tubers). Nevertheless, understanding how starch metabolism is regulated in source and sink tissues is fundamental for improving crop production.
Despite recent advances in the understanding of starch and its metabolism, there is still a knowledge gap in the source and sink metabolism. Therefore, this study aimed to summarize the state of the art regarding starch structure and metabolism inside plants. In addition, this study aimed to elucidate the regulation of starch metabolism in the source tissue using the leaves of a model organism, Arabidopsis thaliana, and the sink tissue of oil palm (Elaeis guineensis) fruit as a commercial crop.
The research regarding the source tissue will focus on the effect of the blockage of starch degradation on the starch parameter in leaves, especially in those of A. thaliana, which lack both disproportionating enzyme 2 (DPE2) and plastidial glucan phosphorylase 1 (PHS1) (dpe2/phs1). The additional elimination of phosphoglucan water dikinase (PWD), starch excess 4 (SEX4), isoamylase 3 (ISA3), and disproportionating enzyme 1 (DPE1) in the dpe2/phs1 mutant background demonstrates the alteration of starch granule number per chloroplast. This study provides insights into the control mechanism of granule number regulation in the chloroplast.
The research regarding the sink tissue will emphasize the relationship between starch metabolism and the lipid metabolism pathway in oil palm fruits. This study was conducted to observe the alteration of starch parameters, metabolite abundance, and gene expression during oil palm fruit development with different oil yields. This study shows that starch and sucrose can be used as biomarkers for oil yield in oil palms. In addition, it is revealed that the enzyme isoforms related to starch metabolism influence the oil production in oil palm fruit.
Overall, this thesis presents novel information regarding starch metabolism in the source tissue of A.thaliana and the sink tissue of E.guineensis. The results shown in this thesis can be applied to many applications, such as modifying the starch parameter in other plants for specific needs.
Analysis of structure and variability of major histocompatibility complex in different vertebrates
(2010)
Analysis of supramolecular assemblies of NE81, the first lamin protein in a non-metazoan organism
(2019)
Nuclear lamins are nucleus-specific intermediate filaments forming a network located at the inner nuclear membrane of the nuclear envelope. They form the nuclear lamina together with proteins of the inner nuclear membrane regulating nuclear shape and gene expression, among others. The amoebozoan Dictyostelium NE81 protein is a suitable candidate for an evolutionary conserved lamin protein in this non-metazoan organism. It shares the domain organization of metazoan lamins and is fulfilling major lamin functions in Dictyostelium. Moreover, field-emission scanning electron microscopy (feSEM) images of NE81 expressed on Xenopus oocytes nuclei revealed filamentous structures with an overall appearance highly reminiscent to that of metazoan Xenopus lamin B2. For the classification as a lamin-like or a bona fide lamin protein, a better understanding of the supramolecular NE81 structure was necessary. Yet, NE81 carrying a large N-terminal GFP-tag turned out as unsuitable source for protein isolation and characterization; GFP-NE81 expressed in Dictyostelium NE81 knock-out cells exhibited an abnormal distribution, which is an indicator for an inaccurate assembly of GFP-tagged NE81. Hence, a shorter 8×HisMyc construct was the tag of choice to investi-gate formation and structure of NE81 assemblies. One strategy was the structural analysis of NE81 in situ at the outer nuclear membrane in Dictyostelium cells; NE81 without a func-tional nuclear localization signal (NLS) forms assemblies at the outer face of the nucleus. Ultrastructural feSEM pictures of NE81ΔNLS nuclei showed a few filaments of the expected size but no repetitive filamentous structures. The former strategy should also be established for metazoan lamins in order to facilitate their structural analysis. However, heterologously expressed Xenopus and C. elegans lamins showed no uniform localization at the outer nucle-ar envelope of Dictyostelium and hence, no further ultrastructural analysis was undertaken. For in vitro assembly experiments a Dictyostelium mutant was generated, expressing NE81 without the NLS and the membrane-anchoring isoprenylation site (HisMyc-NE81ΔNLSΔCLIM). The cytosolic NE81 clusters were soluble at high ionic strength and were purified from Dictyostelium extracts using Ni-NTA Agarose. Widefield immunofluorescence microscopy, super-resolution light microscopy and electron microscopy images of purified NE81 showed its capability to form filamentous structures at low ionic strength, as described previously for metazoan lamins. Introduction of a phosphomimetic point mutation (S122E) into the CDK1-consensus sequence of NE81 led to disassembled NE81 protein in vivo, which could be reversibly stimulated to form supramolecular assemblies by blue light exposure.
The results of this work reveal that NE81 has to be considered a bona fide lamin, since it is able to form filamentous assemblies. Furthermore, they highlight Dictyostelium as a non-mammalian model organism with a well-characterized nuclear envelope containing all rele-vant protein components known in animal cells.
In nature, plants often encounter biotic and abiotic stresses, which can cause reduced crop yield and quality, and threaten the nutrition of a growing human population. As heat stress (HS) is one of the main abiotic stresses, and is projected to increase due to global warming, it is necessary to better understand how plants respond and survive under HS. In Arabidopsis thaliana, plants can survive under severe HS if primed by a non-lethal HS, a process called acquisition of thermotolerance. This primed stated can be maintained for several days, and the ability of plants to maintain the primed state is called maintenance of acquired thermotolerance (mATT) or HS memory. According to current research, two Heat shock factors (HSFs) HSFA2 and HSFA3 are known to account for the majority of mATT capability, and there are other HSFs e.g. HSFA1b and HSFA6b in HSF complexes containing HSFA2 and/or HSFA3, however, the roles of these HSFs in HS memory is not clearly understood. Moreover, the mechanism of these HSFs in regulating HS memory is unclear, whether transcriptional machinery e.g. the Mediator complex contributes to transcriptional memory. This work investigates the role of HSFs and Mediator subunits in HS memory in A. thaliana. For the role of HSFs, the interaction between HSFA1b and HSFA2 during HS memory phase was confirmed by in vivo co- immunoprecipitation (Co-IP). HSFA1b, HSFA2, HSFA3 and HSFA6b targeted HS memory-related genes according to DNA affinity purification sequencing (DAP-seq) data, and targets of HSFA1b were confirmed in vivo by chromatin immunoprecipitation qPCR (ChIP-qPCR). The mutant of hsfa6b showed an HS memory deficiency phenotype in mATT survival assay. These data confirmed the role for HSFA2 and HSFA3 in HS memory, and suggest that HSFA1b and HSFA6b also function in HS memory. The Mediator complex functions as an RNA Polymerase II (RNA Pol II) co-regulator, and includes Head, Middle, Tail and Kinase modules. Both MED23 and MED32 belong to the Tail module, and they have a positive role in HS memory. MED23 interacted with HSFA3, as determined by yeast two hybrid (Y2H) and in vivo Co-IP assays. The med23 mutant showed a decreased HS memory phenotype, reduced expression of Type I (sustained expression) memory genes following HS, and reduced accumulation of the memory-associated Tri-methylation of histone H3 lysine 4 (H3K4me3)histone modification at HS memory-related gene loci after HS. MED23 was recruited to HS-inducible memory and non-memory genes after HS, as determined by ChIP-qPCR. The med32
mutant showed a reduced HS memory phenotype, decreased expression of Type I and Type II (hyper-induction) memory genes, and lower accumulation of H3K4me3 at memory gene lociafter HS. However, MED32 did not show interaction with any tested HSF in Y2H or in vivo Co-IP. MED32 regulated the recruitment of RNA Pol II at HS-inducible genes after HS, but was not itself recruited to HS memory genes after HS. These results provided more evidence
that the Mediator subunits MED23 and MED32 regulate HS memory on transcriptional and epigenetic levels. In general, this work provides a better insight into the molecular mechanism of how HSFs and Mediator subunits regulate HS memory in plants and will provide new perspectives to breed crops with improved thermotolerance.
Sulphur, a macronutrient essential for plant growth, is among the most versatile elements in living organisms. Unfortunately, little is known about regulation of sulphate uptake and assimilation by plants. Identification of sulphate signalling processes will allow to control sulphate acquisition and assimilation and may prove useful in the future to improve sulphur-use efficiency in agriculture. Many of genes involved in sulphate metabolism are regulated on transcriptional level by products of other genes called transcription factors (TF). Several published experiments revealed TF genes that respond to sulphate deprivation, but none of these have been so far been characterized functionally. Thus, we aimed at identifying and characterising transcription factors that control sulphate metabolism in the model plant Arabidopsis thaliana. To achieve that goal we postulated that factors regulating Arabidopsis responses to inorganic sulphate deficiency change their transcriptional levels under sulphur-limited conditions. By comparing TF transcript profiles from plants grown on different sulphate regimes, we identified TF genes that may specifically induce or repress changes in expression of genes that allow plants to adapt to changes in sulphate availability. Candidate genes obtained from this screening were tested by reverse genetics approaches. Transgenic plants constitutively overproducing selected TF genes and mutant plants, lacking functional selected TF genes (knock out), were used. By comparing metabolite and transcript profiles from transgenic and wild type plants we aimed at confirming the role of selected AP2 TF candidate genes in plant adaptation to sulphur unavailability. After preliminary characterisation of WRKY24 and MYB93 TF genes, we postulate that these factors are involved in a complex multifactorial regulatory network, in which WRKY24 and MYB93 would act as superior factors regulating other transcription factors directly involved in the regulation of S-metabolism genes. Results obtained for plants overproducing TOE1 and TOE2 TF genes suggests that these factors may be involved in a mechanism, which is promoting synthesis of an essential amino acid, methionine, over synthesis of another amino acid, cysteine. Thus, TOE1 and TOE2 genes might be a part of transcriptional regulation of methionine synthesis. Approaches creating genetically manipulated plants may produce plant phenotypes of immediate biotechnological interest, such as plants with increased sulphate or sulphate-containing amino acid content, or better adapted to the sulphate unavailability.
Cardiac valves are essential for the continuous and unidirectional flow of blood throughout the body. During embryonic development, their formation is strictly connected to the mechanical forces exerted by blood flow. The endocardium that lines the interior of the heart is a specialized endothelial tissue and is highly sensitive to fluid shear stress. Endocardial cells harbor a signal transduction machinery required for the translation of these forces into biochemical signaling, which strongly impacts cardiac morphogenesis and physiology. To date, we lack a solid understanding on the mechanisms by which endocardial cells sense the dynamic mechanical stimuli and how they trigger different cellular responses. In the zebrafish embryo, endocardial cells at the atrioventricular canal respond to blood flow by rearranging from a monolayer to a double-layer, composed of a luminal cell population subjected to blood flow and an abluminal one that is not exposed to it. These early morphological changes lead to the formation of an immature valve leaflet. While previous studies mainly focused on genes that are positively regulated by shear stress, the mechanisms regulating cell behaviors and fates in cells that lack the stimulus of blood flow are largely unknown. One key discovery of my work is that the flow-sensitive Notch receptor and Krüppel-like factor (Klf) 2, one of the best characterized flow-regulated transcriptional factors, are activated by shear stress but that they function in two parallel signal transduction pathways. Each of these two pathways is essential for the rearrangement of atrioventricular cells into an immature double-layered valve leaflets. A second key discovery of my study is the finding that both Notch and Klf2 signaling negatively regulate the expression of the angiogenesis receptor Vegfr3/Flt4, which becomes restricted to abluminal endocardial cells of the valve leaflet. Within these cells, Flt4 downregulates the expressions of the cell adhesion proteins Alcam and VE-cadherin. A loss of Flt4 causes abluminal endocardial cells to ectopically express Notch, which is normally restricted to luminal cells, and impairs valve morphology. My study suggests that abluminal endocardial cells that do not experience mechanical stimuli loose Notch expression and this triggers expression of Flt4. In turn, Flt4 negatively regulates Notch on the abluminal side of the valve leaflet. These antagonistic signaling activities and fine-tuned gene regulatory mechanisms ultimately shape cardiac valve leaflets by inducing unique differences in the fates of endocardial cells.
Application of hybridisation capture to investigate complete mitogenomes from ancient samples
(2015)
The light reactions of photosynthesis are carried out by a series of multiprotein complexes embedded in thylakoid membranes. Among them, photosystem I (PSI), acting as plastocyanin-ferderoxin oxidoreductase, catalyzes the final reaction. Together with light-harvesting antenna I, PSI forms a high-molecular-weight supercomplex of ~600 kDa, consisting of eighteen subunits and nearly two hundred co-factors. Assembly of the various components into a functional thylakoid membrane complex requires precise coordination, which is provided by the assembly machinery. Although this includes a small number of proteins (PSI assembly factors) that have been shown to play a role in the formation of PSI, the process as a whole, as well as the intricacy of its members, remains largely unexplored.
In the present work, two approaches were used to find candidate PSI assembly factors. First, EnsembleNet was used to select proteins thought to be functionally related to known PSI assembly factors in Arabidopsis thaliana (approach I), and second, co-immunoprecipitation (Co-IP) of tagged PSI assembly factors in Nicotiana tabacum was performed (approach II).
Here, the novel PSI assembly factors designated CO-EXPRESSED WITH PSI ASSEMBLY 1 (CEPA1) and Ycf4-INTERACTING PROTEIN 1 (Y4IP1) were identified. A. thaliana null mutants for CEPA1 and Y4IP1 showed a growth phenotype and pale leaves compared with the wild type. Biophysical experiments using pulse amplitude modulation (PAM) revealed insufficient electron transport on the PSII acceptor side. Biochemical analyses revealed that both CEPA1 and Y4IP1 are specifically involved in PSI accumulation in A. thaliana at the post-translational level but are not essential. Consistent with their roles as factors in the assembly of a thylakoid membrane protein complex, the two proteins localize to thylakoid membranes. Remarkably, cepa1 y4ip1 double mutants exhibited lethal phenotypes in early developmental stages under photoautotrophic growth. Finally, co-IP and native gel experiments supported a possible role for CEPA1 and Y4IP1 in mediating PSI assembly in conjunction with other PSI assembly factors (e.g., PPD1- and PSA3-CEPA1 and Ycf4-Y4IP1). The fact that CEPA1 and Y4IP1 are found exclusively in green algae and higher plants suggests eukaryote-specific functions. Although the specific mechanisms need further investigation, CEPA1 and Y4IP1 are two novel assembly factors that contribute to PSI formation.
Plant metabolism serves as the primary mechanism for converting assimilated carbon into essential compounds crucial for plant growth and ultimately, crop yield. This renders it a focal point of research with significant implications. Despite notable strides in comprehending the genetic principles underpinning metabolism and yield, there remains a dearth of knowledge regarding the genetic factors responsible for trait variation under varying environmental conditions. Given the burgeoning global population and the advancing challenges posed by climate change, unraveling the intricacies of metabolic and yield responses to water scarcity became increasingly important in safeguarding food security.
Our research group has recently started to work on the genetic resources of legume species. To this end, the study presented here investigates the metabolic diversity across five different legume species at a tissue level, identifying species-specific biosynthesis of alkaloids as well as iso-/flavonoids with diverse functional groups, namely prenylation, phenylacylation as well as methoxylation, to create a resource for follow up studies investigation the metabolic diversity in natural diverse populations of legume species.
Following this, the second study investigates the genetic architecture of drought-induced changes in a global common bean population. Here, a plethora of quantitative trait loci (QTL) associated with various traits are identified by performing genome-wide association studies (GWAS), including for lipid signaling. On this site, overexpression of candidates highlighted the induction of several oxylipins reported to be pivotal in coping with harsh environmental conditions such as water scarcity.
Diverging from the common bean and GWAS, the following study focuses on identifying drought-related QTL in tomato using a bi-parental breeding population. This descriptive study highlights novel multi-omic QTL, including metabolism, photosynthesis as well as fruit setting, some of which are uniquely assigned under drought. Compared to conventional approaches using the bi-parental IL population, the study presented improves the resolution by assessing further backcrossed ILs, named sub-ILs.
In the final study, a photosynthetic gene, namely a PetM subunit of the cytochrome b6f complex encoding gene, involved in electron flow is characterized in an horticultural important crop. While several advances have been made in model organisms, this study highlights the transition of this fundamental knowledge to horticultural important crops, such as tomato, and investigates its function under differing light conditions. Overall, the presented thesis combines different strategies in unveiling the genetic components in multi-omic traits under drought using conventional breeding populations as well as a diverse global population. To this end, it allows a comparison of either approach and highlights their strengths and weaknesses.
Der Na⁺-K⁺-2Cl⁻-Kotransporter (NKCC2) wird im distalen Nephron der Niere exprimiert. Seine Verteilung umfasst die Epithelien der medullären und kortikalen Teile der dicken aufsteigenden Henle-Schleife (Thick ascending limb, TAL) und die Macula densa. Resorptiver NaCl-Transport über den NKCC2 dient dem renalen Konzentrierungsmechanismus und reguliert systemisch auch Volumenstatus und Blutdruck. Die Aktivität des NKCC2 ist mit der Phosphorylierung seiner N-terminalen Aminosäurereste Serin 126 und Threonin 96/101 verbunden. Vermittelt wird diese durch die homologen Kinasen SPAK (SPS-related proline/alanine-rich kinase) und OSR1 (Oxidative stress responsive kinase 1), die hierzu ihrerseits phosphoryliert werden müssen. Der regulatorische Kontext dieser Kinasen ist mittlerweile gut charakterisiert. Über Mechanismen und Produkte, die den NKCC2 deaktivieren, war hingegen weniger bekannt. Ziel der Arbeit war daher zu untersuchen, welche Wege zur Deaktivierung des Transporters führen. Der intrazelluläre Sortierungsrezeptor SORLA (Sorting-protein-related receptor with A-type repeats) war zuvor in seiner Bedeutung für das Nephron charakterisiert worden. Ein SORLA-defizientes Mausmodell weist unter anderem eine stark verringerte NKCC2-Phosphorylierung auf. Unter osmotischem Stress können SORLA-defiziente Mäuse ihren Urin weniger effizient konzentrieren. Meine Resultate zeigen mit hochauflösender Technik, dass SORLA apikal im TAL lokalisiert ist und dass mit NKCC2 eine anteilige Kolokalisation besteht. Unter SORLA Defizienz war die für die NKCC2 Aktivität maßgebliche SPAK/OSR1-Phosphorylierung gegenüber dem Wildtyp nicht verändert. Jedoch war die ebenfalls im TAL exprimierte Phosphatase Calcineurin Aβ (CnAβ) per Western blot um das zweifache gesteigert. Parallel hierzu wurde immunhistochemisch die Kolokalisation von verstärktem CnAβ-Signal und NKCC2 bestätigt. Beide Befunde geben zusammen den Hinweis auf einen Bezug zwischen der reduzierten NKCC2-Phosphorylierung und der gesteigerten Präsenz von CnAβ bei SORLA Defizienz. Die parallel induzierte Überexpression von SORLA in HEK-Zellen zeigte entsprechend eine Halbierung der CnAβ Proteinmenge. SORLA steuert demzufolge sowohl die Abundanz als auch die zelluläre Verteilung der Phosphatase. Weiterhin ließ sich die Interaktion zwischen CnAβ und SORLA (intrazelluläre Domäne) mittels Co-Immunpräzipitation bzw. GST-pulldown assay nachweisen. Auch die Interaktion zwischen CnAβ und NKCC2 wurde auf diesem Weg belegt. Da allerdings weder SORLA noch NKCC2 ein spezifisches Bindungsmuster für CnAβ aufweisen, sind vermutlich intermediäre Adapterproteine bei ihrer Bindung involviert. Die pharmakologische Inhibition von CnAβ mittels Cyclosporin A (CsA; 1 h) führte bei SORLA Defizienz zur Normalisierung der NKCC2-Phosphorylierung. Entsprechend führte in vitro die Gabe von CsA bei TAL Zellen zu einer 7-fach gesteigerten NKCC2-Phosphorylierung. Zusammenfassend zeigen die Ergebnisse, dass die Phosphatase CnAβ über ihre Assoziation mit NKCC2 diesen im adluminalen Zellkompartiment deaktivieren kann. Gesteuert wird dieser Vorgang durch die Eigenschaft von SORLA, CnAβ apikal zu reduzieren und damit die adluminale Phosphorylierung und Aktivität von NKCC2 zu unterstützen. Da Calcineurin-Inhibitoren derzeit die Grundlage der immunsupprimierenden Therapie darstellen, haben die Ergebnisse eine klinische Relevanz. Angesichts der Co-Expression von SORLA und CnAβ in verschiedenen anderen Organen können die Ergebnisse auch über die Niere hinaus Bedeutung erlangen.
Das homotrimere Tailspikeadhäsin des Bakteriophagen P22 ist ein etabliertes Modellsystem, dessen Faltung, Assemblierung und Stabilität in vivo und in vitro umfassend charakterisiert ist. Das zentrale Strukturmotiv des Proteins ist eine parallele beta-Helix mit 13 Windungen, die von einer N‑terminalen Kapsidbindedomäne und einer C‑terminalen Trimerisierungsdomäne flankiert wird. Jede Windung beinhaltet drei kurze beta-Stränge, die durch turns und loops unterschiedlicher Länge verbunden sind. Durch den sich strukturell wiederholenden, spulenförmigen Aufbau formen beta-Stränge benachbarter Windungen elongierte beta-Faltblätter. Das Lumen der beta-Helix beinhaltet größtenteils hydrophobe Seitenketten, welche linear und sehr regelmäßig entlang der Längsachse gestapelt sind. Eine hoch repetitive Struktur, ausgedehnte beta-Faltblätter und die regelmäßige Anordnung von ähnlichen oder identischen Seitenketten entlang der beta-Faltblattachse sind ebenfalls typische Kennzeichen von Amyloidfibrillen, die bei Proteinfaltungskrankheiten wie Alzheimer, der Creutzfeld-Jakob-Krankheit, Chorea Huntington und Typ-II-Diabetes gebildet werden. Es wird vermutet, dass die hohe Stabilität des Tailspikeproteins und auch die der Amyloidfibrille durch Seitenkettenstapelung, einem geordneten Netzwerk von Wasserstoffbrückenbindungen und den rigiden, oligomeren Verbund bedingt ist. Um den Einfluss der Seitenkettenstapelung auf die Stabilität, Faltung und Struktur des P22 Tailspikeproteins zu untersuchen, wurden sieben Valine in einem im Lumen der beta-Helix begrabenen Seitenkettenstapel gegen das kleinere und weniger hydrophobe Alanin und das voluminösere Leucin substituiert. Der Einfluss der Mutationen wurde anhand zweier Tailspikevarianten, dem trimeren, N‑terminal verkürzten TSPdeltaN‑Konstrukt und der monomeren, isolierten beta-Helix Domäne analysiert. Generell wurde in den Experimenten deutlich, dass Mutationen zu Alanin stärkere Effekte auslösen als Mutationen zu Leucin. Die dichte und hydrophobe Packung im Kern der beta-Helix bildet somit die Basis für Stabilität und Faltung des Proteins. Anhand hoch aufgelöster Kristallstrukturen jeweils zweier Alanin‑ und Leucin‑Mutanten konnte verdeutlicht werden, dass das Strukturmotiv der parallelen beta-Helix stark formbar ist und mutationsbedingte Änderungen des Seitenkettenvolumens durch kleine und lokale Verschiebung der Haupt‑ und Seitenketten ausgeglichen werden, sodass mögliche Kavitäten gefüllt und sterische Spannung abgebaut werden können. Viele Mutanten zeigten in vivo und in vitro einen temperatursensitiven Faltungsphänotyp (temperature sensitive for folding, tsf), d.h. bei Temperaturerhöhung waren die Ausbeuten des N‑terminal verkürzten Trimers im Vergleich zum Wildtyp deutlich verringert. Weiterführende Experimente zeigten, dass der tsf‑Phänotyp durch die Beeinflussung unterschiedlicher Stadien des Reifungsprozesses oder auch durch die Verminderung der kinetischen Stabilität des nativen Trimers ausgelöst wurde. Durch Untersuchungen am vollständigen und am N‑terminal verkürzten Wildtypprotein wurde gezeigt, dass die Entfaltungsreaktion des Tailspiketrimers komplex ist. Die Verläufe der Kinetiken folgen zwar einem apparenten Zweizustandsverhalten, jedoch sind bei Darstellung der Entfaltungsäste im Chevronplot die Abhängigkeiten der Geschwindigkeitskonstanten vom Denaturierungsmittel nicht linear, sondern in unterschiedliche Richtungen gewölbt. Dieses Verhalten könnte durch ein hoch energetisches Entfaltungsintermediat, einen breiten Übergangsbereich oder parallele Entfaltungswege hervorgerufen sein. Mit Hilfe der monomeren, isolierten beta-Helix Domäne, bei der die N‑terminale Capsidbindedomäne und die C‑terminale Trimerisierungsdomäne deletiert sind und welche als unabhängige Faltungseinheit fungiert, wurde gezeigt, dass alle Mutanten im Harnstoff‑induzierten Gleichgewicht analog zum Wildtypprotein einem Zweizustandsverhalten mit vergleichbaren Kooperativitäten folgen. Die konformationellen Stabilitäten von in der beta-Helix zentral gelegenen Alanin‑ und Leucin‑Mutanten sind stark vermindert, während Mutationen in äußeren Bereichen der Domäne keinen Einfluss auf die Stabilität der beta-Helix haben. Bei Verlängerung der Inkubationszeiten der Gleichgewichtsexperimente konnte die langsame Bildung von Aggregaten im Übergangsbereich der destabilisierten Mutanten detektiert werden. Die in der Arbeit erlangten Erkenntnisse lassen vermuten, dass die isolierte beta-Helix einem für die Reifung des Tailspikeproteins entscheidenden thermolabilen Faltungsintermediat auf Monomerebene sehr ähnlich ist. Im Intermediat ist ein zentraler Kern, der die Windungen 4 bis 7 und die „Rückenflosse“ beinhaltet, stabilitätsbestimmend. Dieser Kern könnte als Faltungsnukleus dienen, an den sich sequenziell weitere Helixwindungen anlagern und im Zuge der „Monomerreifung“ kompaktieren.
Besiedlung naturnaher Wälder unterschiedlicher Isolation durch Tiergruppen verschiedener Mobilität
(2005)
In this thesis, different aspects within the research field of protein spectro- and electro-chemistry on nanostructured materials are addressed. On the one hand, this work is related to the investigation of nanostructured transparent and conductive metal oxides as platform for the immobilization of electroactive enzymes. On the other hand the second part of this work is related to the immobilization of sulfite oxidase on gold nanoparticles modified electrode. Finally direct and mediated spectroelectrochemistry protein with high structure complexity such as the xanthine dehydrogenase from Rhodobacter capsulatus and its high homologues the mouse aldehyde oxidase homolog 1. Stable immobilization and reversible electrochemistry of cytochrome c in a transparent and conductive tin-doped and tin-rich indium oxide film with a well-defined mesoporosity is reported. The transparency and good conductivity, in combination with the large surface area of these materials, allow the incorporation of a high amount of electroactive biomolecules (between 250 and 2500 pmol cm-2) and their electrochemical and spectroscopic investigation. Both, the electrochemical behavior and the immobilization of proteins are influenced by the geometric parameters of the porous material, such as the structure and pore shape, the surface chemistry, as well as the protein size and charge. UV-Vis and resonance Raman spectroscopy, in combination with direct protein voltammetry, are employed for the characterization of cytochrome c immobilized in the mesoporous indium tin oxide and reveal no perturbation of the structural integrity of the redox protein. A long term protein immobilization is reached using these unmodified mesoporous indium oxide based materials, i.e. more than two weeks even at high ionic strength. The potential of this modified material as an amperometric biosensor for the detection of superoxide anions is demonstrated. A sensitivity of about 100 A M-1 m-2, in a linear measuring range of the superoxide concentration between 0.13 and 0.67 μM, is estimated. In addition an electrochemical switchable protein-based optical device is designed with the core part composed of cytochrome c immobilized on a mesoporous indium tin oxide film. A color developing redox sensitive dye is used as switchable component of the system. The cytochrome c-catalyzed oxidation of the dye by hydrogen peroxide is spectroscopically investigated. When the dye is co-immobilized with the protein, its redox state is easily controlled by application of an electrical potential at the supporting material. This enables to electrochemical reset the system to the initial state and repetitive signal generation. The case of negative charged proteins, which does not have a good interaction with the negative charged indium oxide based films, is also explored. The modification of an indium tin oxide film with a positive charged polymer and the employment of a antimony doped tin oxide film were investigated in this work in order to overcome the repulsion induced by similar charges of the protein and electrode. Human sulfite oxidase and its separated heme-containing domain are able to direct exchange electrons with the supporting material. A study of a new approach for sulfite biosensing, based on enhanced direct electron transfer of a human sulfite oxidase immobilized on a gold nanoparticles modified electrode is reported. The spherical gold nanoparticles were prepared via a novel method by reduction of HAuCl4 with branched poly(ethyleneimine) in an ionic liquid resulting in particles of about 10 nm in hydrodynamic diameter. These nanoparticles were covalently attached to a mercaptoundecanoic acid modified Au-electrode and act as platform where human sulfite oxidase is adsorbed. An enhanced interfacial electron transfer and electrocatalysis is therefore achieved. UV-Vis and resonance Raman spectroscopy, in combination with direct protein voltammetry, were employed for the characterization of the system and reveal no perturbation of the structural integrity of the redox protein. The proposed biosensor exhibited a quick steady-state current response, within 2 s and a linear detection range between 0.5 and 5.4 μM with high sensitivity (1.85 nA μM-1). The investigated system provides remarkable advantages, since it works at low applied potential and at very high ionic strength. Therefore these properties could make the proposed system useful in the development of bioelectronic devices and its application in real samples. Finally protein with high structure complexity such as the xanthine dehydrogenase from Rhodobacter capsulatus and the mouse aldehyde oxidase homolog 1 were spectroelectrochemically studied. It could be demonstrated that different cofactors present in the protein structure, like the FAD and the molybdenum cofactor, are able to directly exchange electrons with an electrode and are displayed as a single peak in a square wave voltammogram. Protein mutants bearing a serine substituted to the cysteines, bounding to the most exposed iron sulfur cluster additionally showed direct electron transfer which can be attributable to this cluster. On the other hand a mediated spectroelectrochemical titration of the protein bound FAD cofactor was performed in presence of transparent iron and cobalt complex mediators. The results showed the formation of the stable semiquinone and the fully reduced flavin. Two formal potentials for each single electron exchange step were then determined.
Biochemical and cellular characterization of filamin binding proteins in cross striated muscle
(2006)
Biochemical and physiological studies of Arabidopsis thaliana Diacylglycerol Kinase 7 (AtDGK7)
(2006)
A family of diacylglycerol kinases (DGK) phosphorylates the substrate diacylglycerol (DAG) to generate phosphatidic acid (PA) . Both molecules, DAG and PA, are involved in signal transduction pathways. In the model plant Arabidopsis thaliana, seven candidate genes (named AtDGK1 to AtDGK7) code for putative DGK isoforms. Here I report the molecular cloning and characterization of AtDGK7. Biochemical, molecular and physiological experiments of AtDGK7 and their corresponding enzyme are analyzed. Information from Genevestigator says that AtDGK7 gene is expressed in seedlings and adult Arabidopsis plants, especially in flowers. The AtDGK7 gene encodes the smallest functional DGK predicted in higher plants; but also, has an alternative coding sequence containing an extended AtDGK7 open reading frame, confirmed by PCR and submitted to the GenBank database (under the accession number DQ350135). The new cDNA has an extension of 439 nucleotides coding for 118 additional amino acids The former AtDGK7 enzyme has a predicted molecular mass of ~41 kDa and its activity is affected by pH and detergents. The DGK inhibitor R59022 also affects AtDGK7 activity, although at higher concentrations (i.e. IC50 ~380 µM). The AtDGK7 enzyme also shows a Michaelis-Menten type saturation curve for 1,2-DOG. Calculated Km and Vmax were 36 µM 1,2-DOG and 0.18 pmol PA min-1 mg of protein-1, respectively, under the assay conditions. Former protein AtDGK7 are able to phosphorylate different DAG analogs that are typically found in plants. The new deduced AtDGK7 protein harbors the catalytic DGKc and accessory domains DGKa, instead the truncated one as the former AtDGK7 protein (Gomez-Merino et al., 2005).
Depending on the biochemical and biotechnical approach, the aim of this work was to understand the mechanism of protein-glucan interactions in regulation and control of starch degradation. Although starch degradation starts with the phosphorylation process, the mechanisms by which this process is controlling and adjusting starch degradation are not yet fully understood. Phosphorylation is a major process performed by the two dikinases enzymes α-glucan, water dikinase (GWD) and phosphoglucan water dikinase (PWD). GWD and PWD enzymes phosphorylate the starch granule surface; thereby stimulate starch degradation by hydrolytic enzymes. Despite these important roles for GWD and PWD, so far the biochemical processes by which these enzymes are able to regulate and adjust the rate of phosphate incorporation into starch during the degradation process haven‘t been understood. Recently, some proteins were found associated with the starch granule. Two of these proteins are named Early Starvation Protein 1 (ESV1) and its homologue Like-Early Starvation Protein 1 (LESV). It was supposed that both are involved in the control of starch degradation, but their function has not been clearly known until now. To understand how ESV1 and LESV-glucan interactions are regulated and affect the starch breakdown, it was analyzed the influence of ESV1 and LESV proteins on the phosphorylating enzyme GWD and PWD and hydrolysing enzymes ISA, BAM, and AMY. However, the analysis determined the location of LESV and ESV1 in the chloroplast stroma of Arabidopsis. Mass spectrometry data predicted ESV1and LESV proteins as a product of the At1g42430 and At3g55760 genes with a predicted mass of ~50 kDa and ~66 kDa, respectively. The ChloroP program predicted that ESV1 lacks the chloroplast transit peptide, but it predicted the first 56 amino acids N-terminal region as a chloroplast transit peptide for LESV. Usually, the transit peptide is processed during transport of the proteins into plastids. Given that this processing is critical, two forms of each ESV1 and LESV were generated and purified, a full-length form and a truncated form that lacks the transit peptide, namely, (ESV1and tESV1) and (LESV and tLESV), respectively. Both protein forms were included in the analysis assays, but only slight differences in glucan binding and protein action between ESV1 and tESV1 were observed, while no differences in the glucan binding and effect on the GWD and PWD action were observed between LESV and tLESV. The results revealed that the presence of the N-terminal is not massively altering the action of ESV1 or LESV. Therefore, it was only used the ESV1 and tLESV forms data to explain the function of both proteins.
However, the analysis of the results revealed that LESV and ESV1 proteins bind strongly at the starch granule surface. Furthermore, not all of both proteins were released after their incubation with starches after washing the granules with 2% [w/v] SDS indicates to their binding to the deeper layers of the granule surface. Supporting of this finding comes after the binding of both proteins to starches after removing the free glucans chains from the surface by the action of ISA and BAM. Although both proteins are capable of binding to the starch structure, only LESV showed binding to amylose, while in ESV1, binding was not observed. The alteration of glucan structures at the starch granule surface is essential for the incorporation of phosphate into starch granule while the phosphorylation of starch by GWD and PWD increased after removing the free glucan chains by ISA. Furthermore, PWD showed the possibility of starch phosphorylation without prephosphorylation by GWD.
Biochemical studies on protein-glucan interactions between LESV or ESV1 with different types of starch showed a potentially important mechanism of regulating and adjusting the phosphorylation process while the binding of LESV and ESV1 leads to altering the glucan structures of starches, hence, render the effect of the action of dikinases enzymes (GWD and PWD) more able to control the rate of starch degradation. Despite the presence of ESV1 which revealed an antagonistic effect on the PWD action as the PWD action was decreased without prephosphorylation by GWD and increased after prephosphorylation by GWD (Chapter 4), PWD showed a significant reduction in its action with or without prephosphorylation by GWD in the presence of ESV1 whether separately or together with LESV (Chapter 5). However, the presence of LESV and ESV1 together revealed the same effect compared to the effect of each one alone on the phosphorylation process, therefore it is difficult to distinguish the specific function between them. However, non-interactions were detected between LESV and ESV1 or between each of them with GWD and PWD or between GWD and PWD indicating the independent work for these proteins. It was also observed that the alteration of the starch structure by LESV and ESV1 plays a role in adjusting starch degradation rates not only by affecting the dikinases but also by affecting some of the hydrolysing enzymes since it was found that the presence of LESV and ESV1leads to the reduction of the action of BAM, but does not abolish it.
Climate change of anthropogenic origin is affecting Earth’s biodiversity and therefore ecosystems and their services. High latitude ecosystems are even more impacted than the rest of Northern Hemisphere because of the amplified polar warming. Still, it is challenging to predict the dynamics of high latitude ecosystems because of complex interaction between abiotic and biotic components. As the past is the key to the future, the interpretation of past ecological changes to better understand ongoing processes is possible. In the Quaternary, the Pleistocene experienced several glacial and interglacial stages that affected past ecosystems. During the last Glacial, the Pleistocene steppe-tundra was covering most of unglaciated northern hemisphere and disappeared in parallel to the megafauna’s extinction at the transition to the Holocene (~11,700 years ago). The origin of the steppe-tundra decline is not well understood and knowledge on the mechanisms, which caused shifts in past communities and ecosystems, is of high priority as they are likely comparable to those affecting modern ecosystems. Lake or permafrost core sediments can be retrieved to investigate past biodiversity at transitions between glacial and interglacial stages. Siberia and Beringia were the origin of dispersal of the steppe-tundra, which make investigation this area of high priority. Until recently, macrofossils and pollen were the most common approaches. They are designed to reconstruct past composition changes but have limit and biases. Since the end of the 20th century, sedimentary ancient DNA (sedaDNA) can also be investigated. My main objectives were, by using sedaDNA approaches to provide scientific evidence of compositional and diversity changes in the Northern Hemisphere ecosystems at the transition between Quaternary glacial and interglacial stages.
In this thesis, I provide snapshots of entire ancient ecosystems and describe compositional changes between Quaternary glacial and interglacial stages, and confirm the vegetation composition and the spatial and temporal boundaries of the Pleistocene steppe-tundra. I identify a general loss of plant diversity with extinction events happening in parallel of megafauna’ extinction. I demonstrate how loss of biotic resilience led to the collapse of a previously well-established system and discuss my results in regards to the ongoing climate change. With further work to constrain biases and limits, sedaDNA can be used in parallel or even replace the more established macrofossils and pollen approaches as my results support the robustness and potential of sedaDNA to answer new palaeoecological questions such as plant diversity changes, loss and provide snapshots of entire ancient biota.
To date, positive relationships between diversity and community biomass have been mainly found, especially in terrestrial ecosystems due to the complementarity and/or dominance effect. In this thesis, the effect of diversity on the performance of terrestrial plant and phytoplankton communities was investigated to get a better understanding of the underlying mechanisms in the biodiversity-ecosystem functioning context. In a large grassland biodiversity experiment, the Jena Experiment, the effect of community diversity on the individual plant performance was investigated for all species. The species pool consisted of 60 plant species belonging to 4 functional groups (grasses, small herbs, tall herbs, legumes). The experiment included 82 large plots which differed in species richness (1-60), functional richness (1-4), and community composition. Individual plant height increased with increasing species richness suggesting stronger competition for light in more diverse communities. The aboveground biomass of the individual plants decreased with increasing species richness indicating stronger competition in more species-rich communities. Moreover, in more species-rich communities plant individuals were less likely to flower out and had fewer inflorescences which may be resulting from a trade-off between resource allocation to vegetative height growth and to reproduction. Responses to changing species richness differed strongly between functional groups and between species of similar functional groups. To conclude, individual plant performance can largely depend on the diversity of the surrounding community. Positive diversity effects on biomass have been mainly found for substrate-bound plant communities. Therefore, the effect of diversity on the community biomass of phytoplankton was studied using microcosms. The communities consisted of 8 algal species belonging to 4 functional groups (green algae, diatoms, cyanobacteria, phytoflagellates) and were grown at different functional richness levels (1-4). Functional richness and community biomass were negatively correlated and all community biomasses were lower than their average monoculture biomasses of the component species, revealing community underyielding. This was mainly caused by the dominance of a fast-growing species which built up low biomasses in monoculture and mixture. A trade-off between biomass and growth rate in monoculture was found for all species, and thus fast-growing species built up low biomasses and slow-growing species reached high biomasses in monoculture. As the fast-growing, low-productive species monopolised nutrients in the mixtures, they became the dominant species resulting in the observed community underyielding. These findings suggest community overyielding when biomasses of the component species are positively correlated with their growth rates in monocultures. Aquatic microcosm experiments with an extensive design were performed to get a broad range of community responses. The phytoplankton communities differed in species diversity (1, 2, 4, 8, and 12), functional diversity (1, 2, 3, and 4) and community composition. The species/functional diversity positively affected community biomass, revealing overyielding in most of the communities. This was mainly caused by a positive complementarity effect which can be attributed to resource use complementarity and/or facilitative interaction among the species. Overyielding of more diverse communities occurred when the biomass of the component species was correlated positively with their growth rates in monoculture and thus, fast-growing and high-productive species were dominant in mixtures. This and the study mentioned above generated an emergent pattern for community overyielding and underyielding from the relationship between biomass and growth rate in monoculture as long as the initial community structure prevailed. Invasive species can largely affect ecosystem processes, whereas invasion is also influenced by diversity. To date, studies revealed negative and positive diversity effects on the invasibility (susceptibility of a community to the invasion by new species). The effect of productivity (nutrient concentration ranging from 10 to 640 µg P L-1), herbivory (presence/absence of the generalist feeder) and diversity (3, 4, 6 species were randomly chosen from the resident species pool) on the invasibility of phytoplankton communities consisting of 10 resident species was investigated using semi-continuous microcosms. Two functionally diverse invaders were chosen: the filamentous and less-edible cynaobacterium C. raciborskii and the unicellular and well-edible phytoflagellate Cryptomonas sp. The phytoflagellate indirectly benefited from grazing pressure of herbivores whereas C. raciborskii suffered more from it. Diversity did not affect the invasibility of the phytoplankton communities. Rather, it was strongly influenced by the functional traits of the resident and invasive species.
Bioelectrochemical investigation of E. coli TMAO reductase and R. capsulatus formate dehydrogenase
()
Die Honigbiene Apis mellifera zeigt innerhalb einer Kolonie eine an das Alter gekoppelte Arbeitsteilung. Junge Honigbienen versorgen die Brut (Ammenbienen), während ältere Honigbienen (Sammlerinnen) außerhalb des Stocks Pollen und Nektar eintragen. Die biogenen Amine Octopamin und Tyramin sind an der Steuerung der Arbeitsteilung maßgeblich beteiligt. Sie interagieren mit Zielzellen über die Bindung an G Protein gekoppelte Rezeptoren. A. mellifera besitzt fünf charakterisierte Octopaminrezeptoren (AmOctαR1, AmOctβR1-4), einen charakterisierten Tyraminrezeptor (AmTyr1) sowie einen weiteren putativen Tyraminrezeptor.
In der vorliegenden Arbeit wurde dieser putative Aminrezeptor als zweiter Tyraminrezeptor (AmTyr2) identifiziert, lokalisiert und pharmakologisch charakterisiert.
Die von der cDNA abgeleitete Aminosäuresequenz weist strukturelle Eigenschaften und konservierte Motive von G Protein gekoppelten Rezeptoren auf. Phylogenetisch ordnet sich der AmTyr2 Rezeptor bei den Tyramin 2 Rezeptoren anderer Insekten ein. Die funktionelle und pharmakologische Charakterisierung des putativen Tyraminrezeptors erfolgte in modifizierten HEK293 Zellen, die mit der Rezeptor cDNA transfiziert wurden. Die Applikation von Tyramin aktiviert Adenylylcyclasen in diesen Zellen und resultiert in einem Anstieg des intrazellulären cAMP Gehalts. Der AmTyr2 Rezeptor kann durch Tyramin in nanomolaren Konzentrationen halbmaximal aktiviert werden. Während es sich bei Octopamin um einen wirkungsvollen Agonisten des Rezeptors handelt, sind Mianserin und Yohimbin effektive Antagonisten. Für die Lokalisierung des Rezeptorproteins wurde ein polyklonaler Antikörper generiert. Eine AmTyr2-ähnliche Immunreaktivität zeigt sich im Gehirn in den optischen Loben, den Antennalloben, dem Zentralkomplex und in den Kenyon Zellen der Pilzkörper.
Des Weiteren wurde die Rolle der Octopamin- und Tyraminrezeptoren bei der Steuerung der altersabhängigen Arbeitsteilung analysiert.
Die Genexpression des AmOctαR1 in verschiedenen Gehirnteilen korreliert unabhängig vom Alter mit der sozialen Rolle, während sich die Genexpression von AmOctβR3/4 und den Tyraminrezeptoren AmTyr1 und AmTyr2 maximal mit dem Alter aber nicht der sozialen Rolle ändert. Sammlerinnen weisen einen höheren Octopamingehalt im Gesamtgehirn auf als Ammenbienen; bei Tyramin zeigen sich keine Unterschiede. Während Tyramin offensichtlich keine direkte Rolle spielt, werden durch Octopamin gesteuerte Prozesse der altersabhängigen Arbeitsteilung bei der Honigbiene vermutlich über den AmOctαR1 vermittelt.
Die Ergebnisse der vorliegenden Arbeit zeigen die wichtige Rolle von biogenen Aminen, insbesondere Octopamin bei der sozialen Organisation von Insektenstaaten.
Biogene Amine sind eine Substanzklasse, die bei Vertebraten und Invertebraten eine wichtige Komponente des endokrinen Systems darstellen. Sie binden an spezifische Rezeptoren der Gruppe der G-Protein gekoppelten Rezeptoren. In dieser Arbeit wurden zwei neue Rezeptoren aus der Schabe Periplaneta americana kloniert. Durch verschiedene Ansätze konnten zwei vollständige cDNA-Sequenzen isoliert werden. Die Aminosäuresequenzen weisen die größte Ähnlichkeit zu bereits bekannten Tyraminrezeptoren aus Locusta/Bombyx bzw. zu Dopaminrezeptoren aus Apis/Drosophila auf. Entsprechend wurden diese Rezeptoren Pea (P. americana) TYR1 und PeaDOP2 genannt. Deutliche Hinweise auf ihre Funktion lassen sich an den abgeleiteten Aminosäuresequenzen ablesen. Aminosäuren, die wichtig bei der Bildung der Bindungstasche, der Rezeptoraktivierung und der Kopplung eines G-Proteins sind, treten bei beiden Rezeptoren auf. Sequenzalignments stellen die Rezeptoren in die Gruppe anderer Tyraminrezeptoren bzw. der Invertebraten-Typ Dopaminrezeptoren. Das Transkript der beiden Rezeptoren konnte durch RT-PCR in verschiedenen Geweben nachgewiesen werden. Ein Ziel der Arbeit war die Gewinnung eines polyklonalen Antiserums gegen PeaTYR1. Dieses Serum detektiert im Homogenat von Gehirnen mehrere Banden, darunter auch eine mit der kalkulierten Masse von PeaTYR1. Präabsorption des Serums mit dem Peptid, welches zur Reinigung verwendet wurde, zeigt dessen Spezifität. An Gehirnschnitten markiert das Serum große Teile des Protocerebrums aber auch feinere Strukturen der Antennalloben, der optischen Loben und des Zentralkomplexes. Ein weiteres Serum gegen Tyramin führte zu einer Markierung von mehreren Neuronengruppen, welche sich in die optischen Loben und den Zentralkomplex verzweigen. Der αPeaTYR1-CPL3 Antikörper markierte die Plasmamembran von transfizierten HEK293-Zellen. Die Lokalisierung von Rezeptor und Ligand deuten darauf hin, dass Tyramin die optische und olfaktorische Wahrnehmung beeinflussen könnte.
The presented study investigated the influence of microbial and biogeochemical processes on the physical transport related properties and the fate of microplastics in freshwater reservoirs. The overarching goal was to elucidate the mechanisms leading to sedimentation and deposition of microplastics in such environments. This is of importance, as large amounts of initially buoyant microplastics are found in reservoir sediments worldwide. However, the transport processes which lead to microplastics accumulation in sediments, were up to now understudied.
The impact of biofilm formation on the density and subsequent sedimentation of microplastics was investigated in the eutrophic Bautzen reservoirs (Chapter 2). Biofilms are complex microbial communities fixed to submerged surfaces through a slimy organic film. The mineral calcite was detected in the biofilms, which led to the
sinking of the overgrown microplastic particles. The calcite was of biogenic origin, most likely precipitated by sessile cyanobacteria within the biofilms.
Biofilm formation was also studied in the mesotrophic Malter reservoir. Unlike in Bautzen reservoir, biofilm formation did not govern the sedimentation of different microplastics in Malter reservoir (Chapter 3). Instead autumnal lake mixing led to
the formation of sinking aggregates of microplastics and iron colloids. Such colloids form when anoxic, iron-rich water from the hypolimnion mixes with the oxygenated epilimnetic waters. The colloids bind organic material from the lake water, which leads to the formation of large and sinking iron-organo flocs.
Hence, iron-organo floc formation and their influence on the buoyancy or burial of microplastics into sediments of Bautzen reservoir was studied in laboratory experiments (Chapter 4). Microplastics of different shapes (fiber, fragment, sphere) and sizes were readily incorporated into sinking iron-organo flocs. By this initially buoyant polyethylene microplastics were transported on top of sediments from Bautzen reservoir. Shortly after deposition, the microplastic bearing flocs started to subside and transported the pollutants into deeper sediment layers. The microplastics were not released from the sediments within two months of laboratory incubation.
The stability of floc microplastic deposition was further investigated employing experiments with the iron reducing model organism Shewanella oneidensis (Chapter 5). It was shown, that reduction or re-mineralization of the iron minerals did not affect the integrity of the iron-organo flocs. The organic matrix was stable under iron reducing conditions. Hence, no incorporated microplastics were released from the flocs. As similar processes are likely to take place in natural sediments, this might explain the previous described low microplastic release from the sediments.
This thesis introduced different mechanisms leading to the sedimentation of initially buoyant microplastics and to their subsequent deposition in freshwater reservoirs. Novel processes such as the aggregation with iron-organo flocs were identified and the understudied issue of biofilm densification through biogenic mineral formation was further investigated. The findings might have implications for the fate of microplastics within the river-reservoir system and outline the role of freshwater reservoirs as important accumulation zone for microplastics. Microplastics deposited in the sediments of reservoirs might not be transported further by through flowing river. Hence the study might contribute to better risk assessment and transport balances of these anthropogenic contaminants.
The genome can be considered the blueprint for an organism. Composed of DNA, it harbours all organism-specific instructions for the synthesis of all structural components and their associated functions. The role of carriers of actual molecular structure and functions was believed to be exclusively assumed by proteins encoded in particular segments of the genome, the genes. In the process of converting the information stored genes into functional proteins, RNA – a third major molecule class – was discovered early on to act a messenger by copying the genomic information and relaying it to the protein-synthesizing machinery. Furthermore, RNA molecules were identified to assist in the assembly of amino acids into native proteins. For a long time, these - rather passive - roles were thought to be the sole purpose of RNA. However, in recent years, new discoveries have led to a radical revision of this view. First, RNA molecules with catalytic functions - thought to be the exclusive domain of proteins - were discovered. Then, scientists realized that much more of the genomic sequence is transcribed into RNA molecules than there are proteins in cells begging the question what the function of all these molecules are. Furthermore, very short and altogether new types of RNA molecules seemingly playing a critical role in orchestrating cellular processes were discovered. Thus, RNA has become a central research topic in molecular biology, even to the extent that some researcher dub cells as “RNA machines”. This thesis aims to contribute towards our understanding of RNA-related phenomena by applying Bioinformatics means. First, we performed a genome-wide screen to identify sites at which the chemical composition of DNA (the genotype) critically influences phenotypic traits (the phenotype) of the model plant Arabidopsis thaliana. Whole genome hybridisation arrays were used and an informatics strategy developed, to identify polymorphic sites from hybridisation to genomic DNA. Following this approach, not only were genotype-phenotype associations discovered across the entire Arabidopsis genome, but also regions not currently known to encode proteins, thus representing candidate sites for novel RNA functional molecules. By statistically associating them with phenotypic traits, clues as to their particular functions were obtained. Furthermore, these candidate regions were subjected to a novel RNA-function classification prediction method developed as part of this thesis. While determining the chemical structure (the sequence) of candidate RNA molecules is relatively straightforward, the elucidation of its structure-function relationship is much more challenging. Towards this end, we devised and implemented a novel algorithmic approach to predict the structural and, thereby, functional class of RNA molecules. In this algorithm, the concept of treating RNA molecule structures as graphs was introduced. We demonstrate that this abstraction of the actual structure leads to meaningful results that may greatly assist in the characterization of novel RNA molecules. Furthermore, by using graph-theoretic properties as descriptors of structure, we indentified particular structural features of RNA molecules that may determine their function, thus providing new insights into the structure-function relationships of RNA. The method (termed Grapple) has been made available to the scientific community as a web-based service. RNA has taken centre stage in molecular biology research and novel discoveries can be expected to further solidify the central role of RNA in the origin and support of life on earth. As illustrated by this thesis, Bioinformatics methods will continue to play an essential role in these discoveries.
Bioinformatics studies of biological systems across multiple levels of molecular organization
(2012)
Neuroinflammatory and neurodegenerative diseases such as Parkinson's (PD) and multiple sclerosis (MS) often result in a severe impairment of the patient´s quality of life. Effective therapies for the treatment are currently not available, which results in a high socio-economic burden. Due to the heterogeneity of the disease subtypes, stratification is particularly difficult in the early phase of the disease and is mainly based on clinical parameters such as neurophysiological tests and central nervous imaging. Due to good accessibility and stability, blood and cerebrospinal fluid metabolite markers could serve as surrogates for neurodegenerative processes. This can lead to an improved mechanistic understanding of these diseases and further be used as "treatment response" biomarkers in preclinical and clinical development programs. Therefore, plasma and CSF metabolite profiles will be identified that allow differentiation of PD from healthy controls, association of PD with dementia (PDD) and differentiation of PD subtypes such as akinetic rigid and tremor dominant PD patients. In addition, plasma metabolites for the diagnosis of primary progressive MS (PPMS) should be investigated and tested for their specificity to relapsing-remitting MS (RRMS) and their development during PPMS progression.
By applying untargeted high-resolution metabolomics of PD patient samples and in using random forest and partial least square machine learning algorithms, this study identified 20 plasma metabolites and 14 CSF metabolite biomarkers. These differentiate against healthy individuals with an AUC of 0.8 and 0.9 in PD, respectively. We also identify ten PDD specific serum metabolites, which differentiate against healthy individuals and PD patients without dementia with an AUC of 1.0, respectively. Furthermore, 23 akinetic-rigid specific plasma markers were identified, which differentiate against tremor-dominant PD patients with an AUC of 0.94 and against healthy individuals with an AUC of 0.98. These findings also suggest more severe disease pathology in the akinetic-rigid PD than in tremor dominant PD. In the analysis of MS patient samples a partial least square analysis yielded predictive models for the classification of PPMS and resulted in 20 PPMS specific metabolites. In another MS study unknown changes in human metabolism were identified after administration of the multiple sclerosis drug dimethylfumarate, which is used for the treatment of RRMS. These results allow to describe and understand the hitherto completely unknown mechanism of action of this new drug and to use these findings for the further development of new drugs and targets against RRMS.
In conclusion, these results have the potential for improved diagnosis of these diseases and improvement of mechanistic understandings, as multiple deregulated pathways were identified. Moreover, novel Dimethylfumarate targets can be used to aid drug development and treatment efficiency. Overall, metabolite profiling in combination with machine learning identified as a promising approach for biomarker discovery and mode of action elucidation.