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- Klimawandel (3)
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- Institut für Biochemie und Biologie (26) (entfernen)
Sulfur is essential for the functionality of some important biomolecules in humans. Biomolecules like the Iron-sulfur clusters, tRNAs, Molybdenum cofactor, and some vitamins. The trafficking of sulfur involves proteins collectively called sulfurtransferase. Among these are TUM1, MOCS3, and NFS1.
This research investigated the role of TUM1 for molybdenum cofactor biosynthesis and cytosolic tRNA thiolation in humans. The rhodanese-like protein MOCS3 and the L-cysteine desulfurase (NFS1) have been previously demonstrated to interact with TUM1. These interactions suggested a dual function of TUM1 in sulfur transfer for Moco biosynthesis and cytosolic tRNA thiolation. TUM1 deficiency has been implicated to be responsible for a rare inheritable disorder known as mercaptolactate cysteine disulfiduria (MCDU), which is associated with a mental disorder. This mental disorder is similar to the symptoms of sulfite oxidase deficiency which is characterised by neurological disorders. Therefore, the role of TUM1 as a sulfurtransferase in humans was investigated, in CRISPR/Cas9 generated TUM1 knockout HEK 293T cell lines.
For the first time, TUM1 was implicated in Moco biosynthesis in humans by quantifying the intermediate product cPMP and Moco using HPLC. Comparing the TUM1 knockout cell lines to the wild-type, accumulation and reduction of cPMP and Moco were observed respectively. The effect of TUM1 knockout on the activity of a Moco-dependent enzyme, Sulfite oxidase, was also investigated. Sulfite oxidase is essential for the detoxification of sulfite to sulfate. Sulfite oxidase activity and protein abundance were reduced due to less availability of Moco. This shows that TUM1 is essential for efficient sulfur transfer for Moco biosynthesis. Reduction in cystathionin -lyase in TUM1 knockout cells was quantified, a possible coping mechanism of the cell against sulfite production through cysteine catabolism.
Secondly, the involvement of TUM1 in tRNA thio-modification at the wobble Uridine-34 was reported by quantifying the amount of mcm5s2U and mcm5U via HPLC. The reduction and accumulation of mcm5s2U and mcm5U in TUM1 knockout cells were observed in the nucleoside analysis. Herein, exogenous treatment with NaHS, a hydrogen sulfide donor, rescued the Moco biosynthesis, cytosolic tRNA thiolation, and cell proliferation deficits in TUM1 knockout cells.
Further, TUM1 was shown to impact mitochondria bioenergetics through the measurement of the oxygen consumption rate and extracellular acidification rate (ECAR) via the seahorse cell Mito stress analyzer. Reduction in total ATP production was also measured. This reveals how important TUM1 is for H2S biosynthesis in the mitochondria of HEK 293T.
Finally, the inhibition of NFS1 in HEK 293T and purified NFS1 protein by 2-methylene 3-quinuclidinone was demonstrated via spectrophotometric and radioactivity quantification. Inhibition of NFS1 by MQ further affected the iron-sulfur cluster-dependent enzyme aconitase activity.
Ribosomes decode mRNA to synthesize proteins. Ribosomes, once considered static, executing machines, are now viewed as dynamic modulators of translation. Increasingly detailed analyses of structural ribosome heterogeneity led to a paradigm shift toward ribosome specialization for selective translation. As sessile organisms, plants cannot escape harmful environments and evolved strategies to withstand. Plant cytosolic ribosomes are in some respects more diverse than those of other metazoans. This diversity may contribute to plant stress acclimation. The goal of this thesis was to determine whether plants use ribosome heterogeneity to regulate protein synthesis through specialized translation. I focused on temperature acclimation, specifically on shifts to low temperatures. During cold acclimation, Arabidopsis ceases growth for seven days while establishing the responses required to resume growth. Earlier results indicate that ribosome biogenesis is essential for cold acclimation. REIL mutants (reil-dkos) lacking a 60S maturation factor do not acclimate successfully and do not resume growth. Using these genotypes, I ascribed cold-induced defects of ribosome biogenesis to the assembly of the polypeptide exit tunnel (PET) by performing spatial statistics of rProtein changes mapped onto the plant 80S structure. I discovered that growth cessation and PET remodeling also occurs in barley, suggesting a general cold response in plants. Cold triggered PET remodeling is consistent with the function of Rei-1, a REIL homolog of yeast, which performs PET quality control. Using seminal data of ribosome specialization, I show that yeast remodels the tRNA entry site of ribosomes upon change of carbon sources and demonstrate that spatially constrained remodeling of ribosomes in metazoans may modulate protein synthesis. I argue that regional remodeling may be a form of ribosome specialization and show that heterogeneous cytosolic polysomes accumulate after cold acclimation, leading to shifts in the translational output that differs between wild-type and reil-dkos. I found that heterogeneous complexes consist of newly synthesized and reused proteins. I propose that tailored ribosome complexes enable free 60S subunits to select specific 48S initiation complexes for translation. Cold acclimated ribosomes through ribosome remodeling synthesize a novel proteome consistent with known mechanisms of cold acclimation. The main hypothesis arising from my thesis is that heterogeneous/ specialized ribosomes alter translation preferences, adjust the proteome and thereby activate plant programs for successful cold acclimation.
Hantaviruses (HVs) are a group of zoonotic viruses that infect human beings primarily through aerosol transmission of rodent excreta and urine samplings. HVs are classified geographically into: Old World HVs (OWHVs) that are found in Europe and Asia, and New World HVs (NWHVs) that are observed in the Americas. These different strains can cause severe hantavirus diseases with pronounced renal syndrome or severe cardiopulmonary system distress. HVs can be extremely lethal, with NWHV infections reaching up to 40 % mortality rate. HVs are known to generate epidemic outbreaks in many parts of the world including Germany, which has seen periodic HV infections over the past decade. HV has a trisegmented genome. The small segment (S) encodes the nucleocapsid protein (NP), the middle segment (M) encodes the glycoproteins (GPs) Gn and Gc which forms up to tetramers and primarily monomers \& dimers upon independent expression respectively and large segment (L) encodes RNA dependent RNA polymerase (RdRp). Interactions between these viral proteins are crucial in providing mechanistic insights into HV virion development. Despite best efforts, there continues to be lack of quantification of these associations in living cells. This is required in developing the mechanistic models for HV viral assembly. This dissertation focuses on three key questions pertaining to the initial steps of virion formation that primarily involves the GPs and NP.
The research investigations in this work were completed using Fluorescence Correlation Spectroscopy (FCS) approaches. FCS is frequently used in assessing the biophysical features of bio-molecules including protein concentration and diffusion dynamics and circumvents the requirement of protein overexpression. FCS was primarily applied in this thesis to evaluate protein multimerization, at single cell resolution.
The first question addressed which GP spike formation model proposed by Hepojoki et al.(2010) appropriately describes the evidence in living cells. A novel in cellulo assay was developed to evaluate the amount of fluorescently labelled and unlabeled GPs upon co-expression. The results clearly showed that Gn and Gc initially formed a heterodimeric Gn:Gc subunit. This sub-unit then multimerizes with congruent Gn:Gc subunits to generate the final GP spike. Based on these interactions, models describing the formation of GP complex (with multiple GP spike subunits) were additionally developed.
HV GP assembly primarily takes place in the Golgi apparatus (GA) of infected cells. Interestingly, NWHV GPs are hypothesized to assemble at the plasma membrane (PM). This led to the second research question in this thesis, in which a systematic comparison between OWHV and NWHV GPs was conducted to validate this hypothesis. Surprisingly, GP localization at the PM was congruently observed with OWHV and NWHV GPs. Similar results were also discerned with OWHV and NWHV GP localization in the absence of cytoskeletal factors that regulate HV trafficking in cells.
The final question focused on quantifying the NP-GP interactions and understanding their influence of NP and GP multimerization. Gc mutlimers were detected in the presence of NP and complimented by the presence of localized regions of high NP-Gc interactions in the perinuclear region of living cells. Gc-CT domain was shown to influence NP-Gc associations. Gn, on the other hand, formed up to tetrameric complexes, independent from the presence of NP.
The results in this dissertation sheds light on the initial steps of HV virion formation by quantifying homo and heterotypic interactions involving NP and GPs, which otherwise are very difficult to perform. Finally, the in cellulo methodologies implemented in this work can be potentially extended to understand other key interactions involved in HV virus assembly.
Biomolecules such as proteins and lipids have vital roles in numerous cellular functions, including biomolecule transport, protein functions, cellular homeostasis and biomembrane integrity. Traditional biochemistry methods do not provide precise information about cellular biomolecule distribution and behavior under native environmental conditions since they are not transferable to live cell samples. Consequently, this can lead to inaccuracies in quantifying biomolecule interactions due to potential complexities arising from the heterogeneity of native biomembranes. To overcome these limitations, minimal invasive microscopic techniques, such as fluorescence fluctuation spectroscopy (FFS) in combination with fluorescence proteins (FPs) and fluorescence lipid analogs, have been developed. FFS techniques and membrane property sensors enable the quantification of various parameters, including concentration, dynamics, oligomerization, and interaction of biomolecules in live cell samples.
In this work, several FFS approaches and membrane property sensors were implemented and employed to examine biological processes of diverse context. Multi-color scanning fluorescence fluctuation spectroscopy (sFCS) was used the examine protein oligomerization, protein-protein interactions (PPIs) and protein dynamics at the cellular plasma membrane (PM). Additionally, two-color number and brightness (N&B) analysis was extended with the cross-correlation analysis in order to quantify hetero-interactions of proteins in the PM with very slow motion, which would not accessible with sFCS due strong initial photobleaching. Furthermore, two semi-automatic analysis pipelines were designed: spectral Förster resonance energy transfer (FRET) analysis to study changes in membrane charge at the inner leaflet of the PM, and spectral generalized polarization (GP) imaging and spectral phasor analysis to monitor changes in membrane fluidity and order.
An important parameter for studying PPIs is molecular brightness, which directly determines oligomerization and can be extracted from FFS data. However, FPs often display complex photophysical transitions, including dark states. Therefore, it is crucial to characterize FPs for their dark-states to ensure reliable oligomerization measurements. In this study, N&B and sFCS analysis were applied to determine photophysical properties of novel green FPs under different conditions (i.e., excitation power and pH) in living cells. The results showed that the new FPs, mGreenLantern (mGL) and Gamillus, exhibited the highest molecular brightness at the cost of lower photostability. The well-established monomeric enhanced green fluorescent protein (mEGFP) remained the best option to investigate PPIs at lower pH, while mGL was best suited for neutral pH, and Gamillus for high pH. These findings provide guidance for selecting an appropriate FP to quantify PPIs via FFS under different environmental conditions.
Next, several biophysical fluorescence microscopy approaches (i.e., sFCS, GP imaging, membrane charge FRET) were employed to monitor changes in lipid-lipid-packing in biomembranes in different biological context. Lipid metabolism in cancer cells is known to support rapid proliferation and metastasis. Therefore, targeting lipid synthesis or membrane integrity holds immense promise as an anticancer strategy. However, the mechanism of action of the novel agent erufosine (EPC3) on membrane stability is not fully under
stood. The present work revealed that EPC3 reduces lipid packing and composition as well as increased membrane fluidity and dynamic, hence, modifies lipid-lipid-interaction. These effects on membrane integrity were likely triggered by modulations in lipid metabolism and membrane organization. In the case of influenza A virus (IAV) infection, regulation of lipid metabolism is crucial for multiple steps in IAV replication and is related to the pathogenicity of IAV. Here, it is shown for the first time that IAV infection triggers a local enrichment of negatively charged lipids at the inner leaflet of the PM, which decreases membrane fluidity and dynamic, as well as increases lipid packing at the assembly site in living cells. This suggests that IAV alters lipid-lipid interactions and organization at the PM. Overall, this work highlights the potential of biophysical techniques as a screening platform for studying membrane properties in living cells at the single-cell level.
Finally, this study addressed remaining questions about the early stage of IAV assembly. The recruitment of matrix protein 1 (M1) and its interaction with other viral surface proteins, hemagglutinin (HA), neuraminidase (NA), and matrix protein 2 (M2), has been a subject of debate due to conflicting results. In this study, different FFS approaches were performed in transfected cells to investigate interactions between IAV proteins themselves and host factors at the PM. FFS measurements revealed that M2 interacts strongly with M1, leading to the translocation of M1 to the PM. This interaction likely took place along the non-canonical pathway, as evidenced by the detection of an interaction between M2 and the host factor LC3-II, leading to the recruitment of LC3-II to the PM. Moreover, weaker interaction was observed between HA and membrane-bound M1, and no interaction between NA and M1. Interestingly, higher oligomeric states of M1 were only detectable in infected cells. These results indicate that M2 initiates virion assembly by recruiting M1 to the PM, which may serve as a platform for further interactions with viral proteins and host factors.
Life on Earth is diverse and ranges from unicellular organisms to multicellular creatures like humans. Although there are theories about how these organisms might have evolved, we understand little about how ‘life’ started from molecules. Bottom-up synthetic biology aims to create minimal cells by combining different modules, such as compartmentalization, growth, division, and cellular communication.
All living cells have a membrane that separates them from the surrounding aqueous medium and helps to protect them. In addition, all eukaryotic cells have organelles that are enclosed by intracellular membranes. Each cellular membrane is primarily made of a lipid bilayer with membrane proteins. Lipids are amphiphilic molecules that assemble into molecular bilayers consisting of two leaflets. The hydrophobic chains of the lipids in the two leaflets face each other, and their hydrophilic headgroups face the aqueous surroundings. Giant unilamellar vesicles (GUVs) are model membrane systems that form large compartments with a size of many micrometers and enclosed by a single lipid bilayer. The size of GUVs is comparable to the size of cells, making them good membrane models which can be studied using an optical microscope. However, after the initial preparation, GUV membranes lack membrane proteins which have to be reconstituted into these membranes by subsequent preparation steps. Depending on the protein, it can be either attached via anchor lipids to one of the membrane leaflets or inserted into the lipid bilayer via its transmembrane domains.
The first step is to prepare the GUVs and then expose them to an exterior solution with proteins. Various protocols have been developed for the initial preparation of GUVs. For the second step, the GUVs can be exposed to a bulk solution of protein or can be trapped in a microfluidic device and then supplied with the protein solution. To minimize the amount of solution and for more precise measurements, I have designed a microfluidic device that has a main channel, and several dead-end side channels that are perpendicular to the main channel. The GUVs are trapped in the dead-end channels. This design exchanges the solution around the GUVs via diffusion from the main channel, thus shielding the GUVs from the flow within the main channel. This device has a small volume of just 2.5 μL, can be used without a pump and can be combined with a confocal microscope, enabling uninterrupted imaging of the GUVs during the experiments. I used this device for most of the experiments on GUVs that are discussed in this thesis.
In the first project of the thesis, a lipid mixture doped with an anchor lipid was used that can bind to a histidine chain (referred to as His-tag(ged) or 6H) via the metal cation Ni2+. This method is widely used for the biofunctionalization of GUVs by attaching proteins without a transmembrane domain. Fluorescently labeled His-tags which are bound to a membrane can be observed in a confocal microscope. Using the same lipid mixture, I prepared the GUVs with different protocols and investigated the membrane composition of the resulting GUVs by evaluating the amount of fluorescently labeled His-tagged molecules bound to their membranes. I used the microfluidic device described above to expose the outer leaflet of the vesicle to a constant concentration of the His-tagged molecules. Two fluorescent molecules with a His-tag were studied and compared: green fluorescent protein (6H-GFP) and fluorescein isothiocyanate (6H-FITC). Although the quantum yield in solution is similar for both molecules, the brightness of the membrane-bound 6H-GFP is higher than the brightness of the membrane-bound 6H-FITC. The observed difference in the brightness reveals that the fluorescence of the 6H-FITC is quenched by the anchor lipid via the Ni2+ ion. Furthermore, my measurements also showed that the fluorescence intensity of the membranebound His-tagged molecules depends on microenvironmental factors such as pH. For both 6H-GFP and 6H-FITC, the interaction with the membrane is quantified by evaluating the equilibrium dissociation constant. The membrane fluorescence is measured as a function of the fluorophores’ molar concentration. Theoretical analysis of these data leads to the equilibrium dissociation constants of (37.5 ± 7.5) nM for 6H-GFP and (18.5 ± 3.7) nM for 6H-FITC.
The anchor lipid mentioned previously used the metal cation Ni2+ to mediate the bond between the anchor lipid and the His-tag. The Ni2+ ion can be replaced by other transition metal ions. Studies have shown that Co3+ forms the strongest bonds with the His-tags attached to proteins. In these studies, strong oxidizing agents were used to oxidize the Co2+ mediated complex with the His-tagged protein to a Co3+ mediated complex. This procedure puts the proteins at risk of being oxidized as well. In this thesis, the vesicles were first prepared with anchor lipids without any metal cation. The Co3+ was added to these anchor lipids and finally the His-tagged protein was added to the GUVs to form the Co3+ mediated bond. This system was also established using the microfluidic device.
The different preparation procedures of GUVs usually lead to vesicles with a spherical morphology. On the other hand, many cell organelles have a more complex architecture with a non spherical topology. One fascinating example is provided by the endoplasmic reticulum (ER) which is made of a continuous membrane and extends throughout the cell in the form of tubes and sheets. The tubes are connected by three-way junctions and form a tubular network of irregular polygons. The formation and maintenance of these reticular networks requires membrane proteins that hydrolyize guanosine triphosphate (GTP). One of these membrane proteins is atlastin. In this thesis, I reconstituted the atlastin protein in GUV membranes using detergent-assisted reconstitution protocols to insert the proteins directly into lipid bilayers.
This thesis focuses on protein reconstitution by binding His-tagged proteins to anchor lipids and by detergent-assisted insertion of proteins with transmembrane domains. It also provides the design of a microfluidic device that can be used in various experiments, one example is the evaluation of the equilibrium dissociation constant for membrane-protein interactions. The results of this thesis will help other researchers to understand the protocols for preparing GUVs, to reconstitute proteins in GUVs, and to perform experiments using the microfluidic device. This knowledge should be beneficial for the long-term goal of combining the different modules of synthetic biology to make a minimal cell.
Starch is a biopolymer for which, despite its simple composition, understanding the precise mechanism behind its formation and regulation has been challenging. Several approaches and bioanalytical tools can be used to expand the knowledge on the different parts involved in the starch metabolism. In this sense, a comprehensive analysis targeting two of the main groups of molecules involved in this process: proteins, as effectors/regulators of the starch metabolism, and maltodextrins as starch components and degradation products, was conducted in this research work using potato plants (Solanum tuberosum L. cv. Desiree) as model of study. On one side, proteins physically interacting to potato starch were isolated and analyzed through mass spectrometry and western blot for their identification. Alternatively, starch interacting proteins were explored in potato tubers from transgenic plants having antisense inhibition of starch-related enzymes and on tubers stored under variable environmental conditions. Most of the proteins recovered from the starch granules corresponded to previously described proteins having a specific role in the starch metabolic pathway. Another set of proteins could be grouped as protease inhibitors, which were found weakly interacting to starch. Variations in the protein profile obtained after electrophoresis separation became clear when tubers were stored under different temperatures, indicating a differential expression of proteins in response to changing environmental conditions.
On the other side, since maltodextrin metabolism is thought to be involved in both starch initiation and degradation, soluble maltooligosaccharide content in potato tubers was analyzed in this work under diverse experimental variables. For this, tuber disc samples from wild type and transgenic lines strongly repressing either the plastidial or cytosolic form of the -glucan phosphorylase and phosphoglucomutase were incubated with glucose, glucose-6-phosphate, and glucose-1-phosphate solutions to evaluate the influence of such enzymes on the conversion of the carbon sources into soluble maltodextrins, in comparison to wild-type samples. Relative maltodextrin amounts analyzed through capillary electrophoresis equipped with laser-induced fluorescence (CE-LIF) revealed that tuber discs could immediately uptake glucose-1-phosphate and use it to produce maltooligosaccharides with a degree of polymerization of up to 30 (DP30), in contrast to transgenic tubers with strong repression of the plastidial glucan phosphorylase. The results obtained from the maltodextrin analysis support previous indications that a specific transporter for glucose-1-phosphate may exist in both the plant cells and the plastidial membranes, thereby allowing a glucose-6-phosphate independent transport. Furthermore, it confirms that the plastidial glucan phosphorylase is responsible for producing longer maltooligosaccharides in the plastids by catalyzing a glucan polymerization reaction when glucose-1-phosphate is available. All these findings contribute to a better understanding of the role of the plastidial glucan phosphorylase as a key enzyme directly involved in the synthesis and degradation of glucans and their implication on starch metabolism.
Animal movement is a crucial aspect of life, influencing ecological and evolutionary processes. It plays an important role in shaping biodiversity patterns, connecting habitats and ecosystems. Anthropogenic landscape changes, such as in agricultural environments, can impede the movement of animals by affecting their ability to locate resources during recurring movements within home ranges and, on a larger scale, disrupt migration or dispersal. Inevitably, these changes in movement behavior have far-reaching consequences on the mobile link functions provided by species inhabiting such extensively altered matrix areas. In this thesis, I investigate the movement characteristics and activity patterns of the European hare (Lepus europaeus), aiming to understand their significance as a pivotal species in fragmented agricultural landscapes. I reveal intriguing results that shed light on the importance of hares for seed dispersal, the influence of personality traits on behavior and space use, the sensitivity of hares to extreme weather conditions, and the impacts of GPS collaring on mammals' activity patterns and movement behavior.
In Chapter I, I conducted a controlled feeding experiment to investigate the potential impact of hares on seed dispersal. By additionally utilizing GPS data of hares in two contrasting landscapes, I demonstrated that hares play a vital role, acting as effective mobile linkers for many plant species in small and isolated habitat patches. The analysis of seed intake and germination success revealed that distinct seed traits, such as density, surface area, and shape, profoundly affect hares' ability to disperse seeds through endozoochory. These findings highlight the interplay between hares and plant communities and thus provide valuable insights into seed dispersal mechanisms in fragmented landscapes.
By employing standardized behavioral tests in Chapter II, I revealed consistent behavioral responses among captive hares while simultaneously examining the intricate connection between personality traits and spatial patterns within wild hare populations. This analysis provides insights into the ecological interactions and dynamics within hare populations in agricultural habitats. Examining the concept of animal personality, I established a link between personality traits and hare behavior. I showed that boldness, measured through standardized tests, influences individual exploration styles, with shy and bold hares exhibiting distinct space use patterns. In addition to providing valuable insights into the role of animal personality in heterogeneous environments, my research introduced a novel approach demonstrating the feasibility of remotely assessing personality types using animal-borne sensors without additional disturbance of the focal individual.
While climate conditions severely impact the activity and, consequently, the fitness of wildlife species across the globe, in Chapter III, I uncovered the sensitivity of hares to temperature, humidity, and wind speed during their peak reproduction period. I found a strong response in activity to high temperatures above 25°C, with a particularly pronounced effect during temperature extremes of over 35°C. The non-linear relationship between temperature and activity was characterized by contrasting responses observed for day and night. These findings emphasize the vulnerability of hares to climate change and the potential consequences for their fitness and population dynamics with the ongoing rise of temperature.
Since such insights can only be obtained through capturing and tagging free-ranging animals, I assessed potential impacts and the recovery process post-collar attachment in Chapter IV. For this purpose, I examined the daily distances moved and the temporal-associated activity of 1451 terrestrial mammals out of 42 species during their initial tracking period. The disturbance intensity and the speed of recovery varied across species, with herbivores, females, and individuals captured and collared in relatively secluded study areas experiencing more pronounced disturbances due to limited anthropogenic influences.
Mobile linkers are essential for maintaining biodiversity as they influence the dynamics and resilience of ecosystems. Furthermore, their ability to move through fragmented landscapes makes them a key component for restoring disturbed sites. Individual movement decisions determine the scale of mobile links, and understanding variations in space use among individuals is crucial for interpreting their functions. Climate change poses further challenges, with wildlife species expected to adjust their behavior, especially in response to high-temperature extremes, and comprehending the anthropogenic influence on animal movements will remain paramount to effective land use planning and the development of successful conservation strategies.
This thesis provides a comprehensive ecological understanding of hares in agricultural landscapes. My research findings underscore the importance of hares as mobile linkers, the influence of personality traits on behavior and spatial patterns, the vulnerability of hares to extreme weather conditions, and the immediate consequences of collar attachment on mammalian movements. Thus, I contribute valuable insights to wildlife conservation and management efforts, aiding in developing strategies to mitigate the impact of environmental changes on hare populations. Moreover, these findings enable the development of methodologies aimed at minimizing the impacts of collaring while also identifying potential biases in the data, thereby benefiting both animal welfare and the scientific integrity of localization studies.
Inflammatory bowel diseases (IBD), characterised by a chronic inflammation of the gut wall, develop as consequence of an overreacting immune response to commensal bacteria, caused by a combination of genetic and environmental conditions. Large inter-individual differences in the outcome of currently available therapies complicate the decision for the best option for an individual patient. Predicting the prospects of therapeutic success for an individual patient is currently only possible to a limited extent; for this, a better understanding of possible differences between responders and non-responders is needed.
In this thesis, we have developed a mathematical model describing the most important processes of the gut mucosal immune system on the cellular level. The model is based on literature data, which were on the one hand used (qualitatively) to choose which cell types and processes to incorporate and to derive the model structure, and on the other hand (quantitatively) to derive the parameter values. Using ordinary differential equations, it describes the concentration-time course of neutrophils, macrophages, dendritic cells, T cells and bacteria, each subdivided into different cell types and activation states, in the lamina propria and mesenteric lymph nodes. We evaluate the model by means of simulations of the healthy immune response to salmonella infection and mucosal injury.
A virtual population includes IBD patients, which we define through their initially asymptomatic, but after a trigger chronically inflamed gut wall. We demonstrate the model's usefulness in different analyses: (i) The comparison of virtual IBD patients with virtual healthy individuals shows that the disease is elicited by many small or fewer large changes, and allows to make hypotheses about dispositions relevant for development of the disease. (ii) We simulate the effects of different therapeutic targets and make predictions about the therapeutic outcome based on the pre-treatment state. (iii) From the analysis of differences between virtual responders and non-responders, we derive hypotheses about reasons for the inter-individual variability in treatment outcome. (iv) For the example of anti-TNF-alpha therapy, we analyse, which alternative therapies are most promising in case of therapeutic failure, and which therapies are most suited for combination therapies: For drugs also directly targeting the cytokine levels or inhibiting the recruitment of innate immune cells, we predict a low probability of success when used as alternative treatment, but a large gain when used in a combination treatment. For drugs with direct effects on T cells, via modulation of the sphingosine-1-phosphate receptor or inhibition of T cell proliferation, we predict a considerably larger probability of success when used as alternative treatment, but only a small additional gain when used in a combination therapy.
Predator-forager interactions are a major factor in evolutionary adaptation of many species, as predators need to gain energy by consuming prey species, and foragers needs to avoid the worst fate of mortality while still consuming resources for energetic gains. In this evolutionary arms race, the foragers have constantly evolved anti-predator behaviours (e.g. foraging activity changes). To describe all these complex changes, researchers developed the framework of the landscape of fear, that is, the spatio-temporal variation of perceived predation risk. This concept simplifies all the involved ecological processes into one framework, by integrating animal biology and distribution with habitat characteristics. Researchers can then evaluate the perception of predation risk in prey species, what are the behavioural responses of the prey and, therefore, understand the cascading effects of landscapes of fear at the resource levels (tri-trophic effects). Although tri-trophic effects are well studied at the predator-prey interaction level, little is known on how the forager-resource interactions are part of the overall cascading effects of landscapes of fear, despite the changes of forager feeding behaviour - that occur with perceived predation risk - affecting directly the level of the resources.
This thesis aimed to evaluate the cascading effects of the landscape of fear on biodiversity of resources, and how the feeding behaviour and movement of foragers shaped the final resource species composition (potential coexistence mechanisms). We studied the changes caused by landscapes of fear on wild and captive rodent communities and evaluated: the cascading effects of different landscapes of fear on a tri-trophic system (I), the effects of fear on a forager’s movement patterns and dietary preferences (II) and cascading effects of different types of predation risk (terrestrial versus avian, III).
In Chapter I, we applied a novel measure to evaluate the cascading effects of fear at the level of resources, by quantifying the diversity of resources left after the foragers gave-up on foraging (diversity at the giving-up density). We tested the measure at different spatial levels (local and regional) and observed that with decreased perceived predation risk, the density and biodiversity of resources also decreased. Foragers left a very dissimilar community of resources based on perceived risk and resources functional traits, and therefore acted as an equalising mechanism.
In Chapter II, we wanted to understand further the decision-making processes of rodents in different landscapes of fear, namely, in which resource species rodents decided to forage on (based on three functional traits: size, nutrients and shape) and how they moved depending on perceived predation risk. In safe landscapes, individuals increased their feeding activity and movements and despite the increased costs, they visited more often patches that were further away from their central-place. Despite a preference for the bigger resources regardless of risk, when perceived predation risk was low, individuals changed their preference to fat-rich resources.
In Chapter III, we evaluated the cascading effects of two different types of predation risk in rodents: terrestrial (raccoon) versus avian predation risk. Raccoon presence or absence did not alter the rodents feeding behaviour in different landscapes of fear. Rodent’s showed risk avoidance behaviours towards avian predators (spatial risk avoidance), but not towards raccoons (lack of temporal risk avoidance).
By analysing the effects of fear in tri-trophic systems, we were able to deepen the knowledge of how non-consumptive effects of predators affect the behaviour of foragers, and quantitatively measure the cascading effects at the level of resources with a novel measure. Foragers are at the core of the ecological processes and responses to the landscape of fear, acting as variable coexistence agents for resource species depending on perceived predation risk. This newly found measures and knowledge can be applied to more trophic chains, and inform researchers on biodiversity patterns originating from landscapes of fear.
Cells are built from a variety of macromolecules and metabolites. Both, the proteome and the metabolome are highly dynamic and responsive to environmental cues and developmental processes. But it is not their bare numbers, but their interactions that enable life. The protein-protein (PPI) and protein-metabolite interactions (PMI) facilitate and regulate all aspects of cell biology, from metabolism to mitosis. Therefore, the study of PPIs and PMIs and their dynamics in a cell-wide context is of great scientific interest. In this dissertation, I aim to chart a map of the dynamic PPIs and PMIs across metabolic and cellular transitions. As a model system, I study the shift from the fermentative to the respiratory growth, known as the diauxic shift, in the budding yeast Saccharomyces cerevisiae. To do so, I am applying a co-fractionation mass spectrometry (CF-MS) based method, dubbed protein metabolite interactions using size separation (PROMIS). PROMIS, as well as comparable methods, will be discussed in detail in chapter 1.
Since PROMIS was developed originally for Arabidopsis thaliana, in chapter 2, I will describe the adaptation of PROMIS to S. cerevisiae. Here, the obtained results demonstrated a wealth of protein-metabolite interactions, and experimentally validated 225 previously predicted PMIs. Applying orthogonal, targeted approaches to validate the interactions of a proteogenic dipeptide, Ser-Leu, five novel protein-interactors were found. One of those proteins, phosphoglycerate kinase, is inhibited by Ser-Leu, placing the dipeptide at the regulation of glycolysis.
In chapter 3, I am presenting PROMISed, a novel web-tool designed for the analysis of PROMIS- and other CF-MS-datasets. Starting with raw fractionation profiles, PROMISed enables data pre-processing, profile deconvolution, scores differences in fractionation profiles between experimental conditions, and ultimately charts interaction networks. PROMISed comes with a user-friendly graphic interface, and thus enables the routine analysis of CF-MS data by non-computational biologists.
Finally, in chapter 4, I applied PROMIS in combination with the isothermal shift assay to the diauxic shift in S. cerevisiae to study changes in the PPI and PMI landscape across this metabolic transition. I found a major rewiring of protein-protein-metabolite complexes, exemplified by the disassembly of the proteasome in the respiratory phase, the loss of interaction of an enzyme involved in amino acid biosynthesis and its cofactor, as well as phase and structure specific interactions between dipeptides and enzymes of central carbon metabolism.
In chapter 5, I am summarizing the presented results, and discuss a strategy to unravel the potential patterns of dipeptide accumulation and binding specificities. Lastly, I recapitulate recently postulated guidelines for CF-MS experiments, and give an outlook of protein interaction studies in the near future.
Aptamers are single-stranded DNA (ssDNA) or RNA molecules that can bind specifically and with high affinity to target molecules due to their unique three-dimensional structure. For this reason, they are often compared to antibodies and sometimes even referred to as “chemical antibodies”. They are simple and inexpensive to synthesize, easy to modify, and smaller than conventional antibodies. Enzymes, especially hydrolases, are interesting targets in this context. This class of enzymes is capable of hydrolytically cleaving various macromolecules such as proteins, as well as smaller molecules such as antibiotics. Hence, they play an important role in many biological processes including diseases and their treatment. Hydrolase detection as well as the understanding of their function is therefore of great importance for diagnostics and therapy. Due to their various desirable features compared to antibodies, aptamers are being discussed as alternative agents for analytical and diagnostic use in various applications. The use of aptamers in therapy is also frequently investigated, as the binding of aptamers can have effects on the catalytic activity, protein-protein interactions, or proteolytic cascades. Aptamers are generated by an in vitro selection process. Potential aptamer candidates are selected from a pool of enriched nucleic acid sequences with affinity to the target, and their binding affinity and specificity is investigated. This is one of the most important steps in aptamer generation to obtain specific aptamers with high affinity for use in analytical and diagnostic applications. The binding properties or binding domains and their effects on enzyme functions form the basis for therapeutic applications.
In this work, the binding properties of DNA aptamers against two different hydrolases were investigated. In view of their potential utility for analytical methods, aptamers against human urokinase (uPA) and New Delhi metallo-β-lactamase-1 (NDM-1) were evaluated for their binding affinity and specificity using different methods. Using the uPA aptamers, a protocol for measuring the binding kinetics of an aptamer-protein-interaction by surface plasmon resonance spectroscopy (SPR) was developed. Based on the increased expression of uPA in different types of cancer, uPA is discussed as a prognostic and diagnostic tumor marker. As uPA aptamers showed different binding sites on the protein, microtiter plate-based aptamer sandwich assay systems for the detection of uPA were developed. Because of the function of urokinase in cancer cell proliferation and metastasis, uPA is also discussed as a therapeutic target. In this regard, the different binding sites of aptamers showed different effects on uPA function. In vitro experiments demonstrated both inhibition of uPA binding to its receptor as well as the inhibition of uPA catalytic activity for different aptamers. Thus, in addition to their specificity and affinity for their targets, the utility of the aptamers for potential diagnostic and therapeutic applications was demonstrated. First, as an alternative inhibitor of human urokinase for therapeutic purposes, and second, as valuable recognition molecules for the detection of urokinase, as a prognostic and diagnostic marker for cancer, and for NDM-1 to detect resistance to carbapenem antibiotics.
Transposable elements (TEs) are loci that can replicate and multiply within the genome of their host. Within the host, TEs through transposition are responsible for variation on genomic architecture and gene regulation across all vertebrates. Genome assemblies have increased in numbers in recent years. However, to explore in deep the variations within different genomes, such as SNPs (single nucleotide polymorphism), INDELs (Insertion-deletion), satellites and transposable elements, we need high-quality genomes. Studies of molecular markers in the past 10 years have limitations to correlate with biological differences because molecular markers rely on the accuracy of the genomic resources. This has generated that a substantial part of the studies of TE in recent years have been on high quality genomic resources such as Drosophila, zebrafinch and maize. As testudine have a slow mutation rate lower only to crocodilians, with more than 300 species, adapted to different environments all across the globe, the testudine clade can help us to study variation. Here we propose Testudines as a clade to study variation and the abundance of TE on different species that diverged a long time ago. We investigated the genomic diversity of sea turtles, identifying key genomic regions associated to gene family duplication, specific expansion of particular TE families for Dermochelyidae and that are important for phenotypic differentiation, the impact of environmental changes on their populations, and the dynamics of TEs within different lineages. In chapter 1, we identify that despite high levels of genome synteny within sea turtles, we identified that regions of reduced collinearity and microchromosomes showed higher concentrations of multicopy gene families, as well as genetic distances between species, indicating their potential importance as sources of variation underlying phenotypic differentiation. We found that differences in the ecological niches occupied by leatherback and green turtles have led to contrasting evolutionary paths for their olfactory receptor genes. We identified in leatherback turtles a long-term low population size. Nonetheless, we identify no correlation between the regions of reduced collinearity with abundance of TEs or an accumulation of a particular TE group. In chapter 2, we identified that sea turtle genomes contain a significant proportion of TEs, with differences in TE abundance between species, and the discovery of a recent expansion of Penelope-like elements (PLEs) in the highly conserved sea turtle genome provides new insights into the dynamics of TEs within Testudines. In chapter 3, we compared the proportion of TE across the Testudine clade, and we identified that the proportion of transposable elements within the clade is stable, regardless of the quality of the assemblies. However, we identified that the proportion of TEs orders has correlation with genome quality depending of their expanded abundancy. For retrotransposon, a highly abundant element for this clade, we identify no correlation. However, for DNA elements a rarer element on this clade, correlate with the quality of the assemblies.
Here we confirm that high-quality genomes are fundamental for the study of transposable element evolution and the conservation within the clade. The detection and abundance of specific orders of TEs are influenced by the quality of the genomes. We identified that a reduction in the population size on D. coriacea had left signals of long-term low population sizes on their genomes. On the same note we identified an expansion of TE on D. coriacea, not present in any other member of the available genomes of Testudines, strongly suggesting that it is a response of deregulation of TE on their genomes as consequences of the low population sizes.
Here we have identified important genomic regions and gene families for phenotypic differentiation and highlighted the impact of environmental changes on the populations of sea turtles. We stated that accurate classification and analysis of TE families are important and require high-quality genome assemblies. Using TE analysis we manage to identify differences in highly syntenic species. These findings have significant implications for conservation and provide a foundation for further research into genome evolution and gene function in turtles and other vertebrates. Overall, this study contributes to our understanding of evolutionary change and adaptation mechanisms.
Movement is a mechanism that shapes biodiversity patterns across spatialtemporal scales. Thereby, the movement process affects species interactions, population dynamics and community composition. In this thesis, I disentangled the effects of movement on the biodiversity of zooplankton ranging from the individual to the community level. On the individual movement level, I used video-based analysis to explore the implication of movement behavior on preypredator interactions. My results showed that swimming behavior was of great importance as it determined their survival in the face of predation. The findings also additionally highlighted the relevance of the defense status/morphology of prey, as it not only affected the prey-predator relationship by the defense itself but also by plastic movement behavior. On the community movement level, I used a field mesocosm experiment to explore the role of dispersal (time i.e., from the egg bank into the water body and space i.e., between water bodies) in shaping zooplankton metacommunities. My results revealed that priority effects and taxon-specific dispersal limitation influenced community composition. Additionally, different modes of dispersal also generated distinct community structures. The egg bank and biotic vectors (i.e. mobile links) played significant roles in the colonization of newly available habitat patches. One crucial aspect that influences zooplankton species after arrival in new habitats is the local environmental conditions. By using common garden experiments, I assessed the performance of zooplankton communities in their home vs away environments in a group of ponds embedded within an agricultural landscape. I identified environmental filtering as a driving factor as zooplankton communities from individual ponds developed differently in their home and away environments. On the individual species level, there was no consistent indication of local adaptation. For some species, I found a higher abundance/fitness in their home environment, but for others, the opposite was the case, and some cases were indifferent.
Overall, the thesis highlights the links between movement and biodiversity patterns, ranging from the individual active movement to the community level.
Die Fluoreszenz-Calcium-Imaging-Methode wird auch heute noch als gängige Methode verwendet, vor allem wegen der geringeren Kosten für das Wirkstoffscreening in der pharmazeutischen Forschung, wobei Ionenkanäle sowie einige der G-Protein gekoppelte Rezeptoren (GPCRs) die Mehrzahl der Wirkstoffziele ansprechen. Die zellfreie Synthese eukaryotischer Proteine hat nicht die Nachteile, die bei der Überexpression dieser ionenpermeablen Proteine in Zellen auftreten können, wie z. B. Zelltoxizität, geringere Proteinexpression und die Beseitigung der exprimierten Proteine aufgrund veränderter Domänen sowie die zeitaufwändige Pflege von Zelllinien. Die Synthese von Ionenkanälen in zellfreien Proteinsyntheseplattformen für das künftige Wirkstoffscreening ist noch in der Grundlagenforschung. Obwohl die Fluoreszenz-Calcium-Imaging-Methode in zellbasierten Assays weit verbreitet ist, wurde diese Methode bisher noch nicht in zellfreien Proteinexpressionssystemen verwendet. Insgesamt ist die neue Anwendung der Calcium-Imaging-Methode in eukaryontischen zellfreien Systemen eine Voraussetzung für die schnelle pharmakologische Analyse von Wirkstoffen. Das erste Ziel dieser wissenschaftlichen Arbeit bestand darin, die grundlegenden Prinzipien der Calcium-Imaging-Methode zur Untersuchung von Ionenkanälen in zellbasierten Systemen zu untersuchen. Hierfür wurden zwei Tumorzelllinien des Auges verwendet, und zwar benigne Pterygiumzellen und maligne Aderhautmelanom 92.1 Zellen. In diesen Studien wurde die Interaktion zwischen den nativ überexprimierten transient-receptor-potential-Ionenkanälen (TRPs) wie TRP Vanilliod 1 (TRPV1) (Capsaicinrezeptor) und TRP Melastatin 8 (TRPM8) (Mentholrezeptor) in diesen Tumorzellen nach Zugabe von verschiedenen Medikamenten und Hormonen untersucht. Das zweite Ziel dieser Arbeit war es, den Calcium-Mechanismus von GPCRs in den Zellen zu untersuchen. Zu diesem Zweck wurde Mas, ein GPCR und Angiotensin (1-7) -Hormonrezeptor, aus dem renin-angiotensin-aldosteron-system (RAAS) in der Human Embryonic Kidney-293 (HEK293) Zelllinie überexprimiert. In dieser Studie wurden insbesondere die Aktivierung klassischer GPCR-Signalwege wie Phospholipase C und Proteinkinase C durch Angiotensin-(1-7) über Mas und die Beteiligung von TRP-Kanälen nachgewiesen. Die zellbasierte-Calcium-Imaging-Methode für chemische Calcium-Indikatoren ließ sich aufgrund der Anwesenheit einer großen Menge cytosolischer Carboxylesterasen gut anwenden. Carboxylesterase ist das wichtigste Enzym in der Calcium Imaging Methode, das die Verarbeitung chemischen Calcium-Farbstoffe behandelt. Dieses Enzym fehlt jedoch in Mikrosomen, die als Basismembran für die Integration synthetisierter Ionenkanäle in eukaryontischen zellfreien Systemen verwendet werden. Das dritte Ziel dieser Forschungsarbeit war die Umsetzung der zellbasierten Calcium-Imaging Methode und der Calcium-Signalwege in zellfreie Systeme. Hier wurde die zellfrei synthetisierte Carboxylesterase in Mikrosomen von Spodoptera frugiperda (Sf21) als praktikables Calcium-Imaging-Werkzeug etabliert, um sowohl native ionenpermeable Proteine als auch zellfrei-synthetisierte Ionenkanäle zu untersuchen. Die Enzymaktivität der zellfrei-synthetisierten Carboxylesterase in Mikrosomen wurde durch Esterase-Assays und den Calcium-Fluoreszenzfarbstoff Fluo-5N Acetoxymethylester (Fluo-5N AM) Belastungstests nachgewiesen. Das Calcium-Imaging der nativ vorhandenen Ca2+-ATPase des sarkoplasmatischen/endoplasmatischen Retikulums (SERCA) und der Ryanodin-Rezeptoren (RyR) in den Mikrosomen sowie der zell-frei exprimierten TRP-Ionenkanäle wurden mit dem Fura-5N-AM- Fluoreszenzfarbstoff in mit Carboxylesterase vorsynthetisierten Mikrosomen nachgewiesen.
Zusammenfassend lässt sich sagen, dass das Prinzip der zellbasierten Calcium-Imaging -Methode vielversprechend an das eukaryotische zellfreie Sf21-System angepasst werden konnte, um Ionenkanäle zu analysieren. Nach entsprechender Forschung könnte die etablierte Methode in Zukunft auch auf andere Membranproteine ausgeweitet werden. Dies umfasst die Untersuchung anderer zell-frei exprimierte GPCRs oder anderer Ionenkanäle wie Kalium-, Natrium- und Chlorid-Ionenkanäle.
Monoklonale Antikörper (mAK) sind eines der wichtigsten Biomoleküle für die Umweltanalytik und die medizinische Diagnostik. Für die Detektion von Mikroorganismen bilden sie die Grundlage für ein schnelles und präzises Testverfahren. Bis heute gibt es, aufgrund des hohen zeitlichen und materiellen Aufwandes und der unspezifischen Immunisierungsstrategien, nur wenige mAK, die spezifisch Mikroorganismen erkennen.
Zu diesem Zweck sollte ein anwendbares Verfahren für die Generierung von mAK gegen Mikroorganismen entwickelt werden, welches anhand von Escherichia coli O157:H7 und Legionella pneumophila validiert wurde. In dieser Dissertation konnten neue Oberflächenstrukturen auf den Mikroorganismen mittels vergleichender Genomanalysen und in silico Epitopanalysen identifiziert werden. Diese wurden in das Virushüllprotein VP1 integriert und für eine gezielte Immunisierungsstrategie verwendet. Für die Bestimmung antigenspezifischer antikörperproduzierender Hybridome wurde ein Immunfärbeprotokoll entwickelt und etabliert, um die Hybridome im Durchflusszytometer zu sortieren.
In der vorliegenden Studie konnten für E. coli O157:H7 insgesamt 53 potenzielle Proteinkandidaten und für L. pneumophila 38 Proteine mithilfe der bioinformatischen Analyse identifiziert werden. Fünf verschiedene potenzielle Epitope wurden für E. coli O157:H7 und drei verschiedenen für L. pneumophila ausgewählt und für die Immunisierung mit chimären VP1 verwendet. Alle Immunseren zeigten eine antigenspezifische Immunantwort. Aus den nachfolgend generierten Hybridomzellen konnten mehrere Antikörperkandidaten gewonnen werden, welche in Charakterisierungsstudien eine starke Bindung zu E. coli O157:H7 bzw. L. pneumophila vorwiesen. Kreuzreaktivitäten zu anderen relevanten Mikroorganismen konnten keine bzw. nur in geringem Maße festgestellt werden.
Folglich konnte der hier beschriebene interdisziplinäre Ansatz zur Generierung spezifischer mAK gegen Mikroorganismen nachweislich spezifische mAK hervorbringen und ist als hocheffizienter Arbeitsablauf für die Herstellung von Antikörpern gegen Mikroorganismen einsetzbar.
Increasing demand for food, healthcare, and transportation arising from the growing world population is accompanied by and driving global warming challenges due to the rise of the atmospheric CO2 concentration. Industrialization for human needs has been increasingly releasing CO2 into the atmosphere for the last century or more. In recent years, the possibility of recycling CO2 to stabilize the atmospheric CO2 concentration and combat rising temperatures has gained attention. Thus, using CO2 as the feedstock to address future world demands is the ultimate solution while controlling the rapid climate change. Valorizing CO2 to produce activated and stable one-carbon feedstocks like formate and methanol and further upgrading them to industrial microbial processes to replace unsustainable feedstocks would be crucial for a future biobased circular economy. However, not all microbes can grow on formate as a feedstock, and those microbes that can grow are not well established for industrial processes.
S. cerevisiae is one of the industrially well-established microbes, and it is a significant contributor to bioprocess industries. However, it cannot grow on formate as a sole carbon and energy source. Thus, engineering S. cerevisiae to grow on formate could potentially pave the way to sustainable biomass and value-added chemicals production.
The Reductive Glycine Pathway (RGP), designed as the aerobic twin of the anaerobic Reductive Acetyl-CoA pathway, is an efficient formate and CO2 assimilation pathway. The RGP comprises of the glycine synthesis module (Mis1p, Gcv1p, Gcv2p, Gcv3p, and Lpd1p), the glycine to serine conversion module (Shmtp), the pyruvate synthesis module (Cha1p), and the energy supply module (Fdh1p). The RGP requires formate and elevated CO2 levels to operate the glycine synthesis module. In this study, I established the RGP in the yeast system using growth-coupled selection strategies to achieve formate and CO2-dependent biomass formation in aerobic conditions.
Firstly, I constructed serine biosensor strains by disrupting the native serine and glycine biosynthesis routes in the prototrophic S288c and FL100 yeast strains and insulated serine, glycine, and one-carbon metabolism from the central metabolic network. These strains cannot grow on glucose as the sole carbon source but require the supply of serine or glycine to complement the engineered auxotrophies. Using growth as a readout, I employed these strains as selection hosts to establish the RGP. Initially, to achieve this, I engineered different serine-hydroxymethyltransferases in the genome of serine biosensor strains for efficient glycine to serine conversion. Then, I implemented the glycine synthesis module of the RGP in these strains for the glycine and serine synthesis from formate and CO2. I successfully conducted Adaptive Laboratory Evolution (ALE) using these strains, which yielded a strain capable of glycine and serine biosynthesis from formate and CO2. Significant growth improvements from 0.0041 h-1 to 0.03695 h-1 were observed during ALE. To validate glycine and serine synthesis, I conducted carbon tracing experiments with 13C formate and 13CO2, confirming that more than 90% of glycine and serine biosynthesis in the evolved strains occurs via the RGP. Interestingly, labeling data also revealed that 10-15% of alanine was labelled, indicating pyruvate synthesis from the formate-derived serine using native serine deaminase (Cha1p) activity. Thus, RGP contributes to a small pyruvate pool which is converted to alanine without any selection pressure for pyruvate synthesis from formate. Hence, this data confirms the activity of all three modules of RGP even in the presence of glucose. Further, ALE in glucose limiting conditions did not improve pyruvate flux via the RGP.
Growth characterization of these strains showed that the best growth rates were achieved in formate concentrations between 25 mM to 300 mM. Optimum growth required 5% CO2, and dropped when the CO2 concentration was reduced from 5% to 2.5%.
Whole-genome sequencing of these evolved strains revealed mutations in genes that encode Gdh1p, Pet9p, and Idh1p. These enzymes might influence intracellular NADPH, ATP, and NADH levels, indicating adjustment to meet the energy demand of the RGP. I reverse-engineered the GDH1 truncation mutation on unevolved serine biosensor strains and reproduced formate dependent growth. To elucidate the effect of the GDH1 mutation on formate assimilation, I reintroduced this mutation in the S288c strain and conducted carbon-tracing experiments to compared formate assimilation between WT and ∆gdh1 mutant strains. Comparatively, enhanced formate assimilation was recorded in the ∆gdh1 mutant strain.
Although the 13C carbon tracing experiments confirmed the activity of all three modules of the RGP, the overall pyruvate flux via the RGP might be limited by the supply of reducing power. Hence, in a different approach, I overexpressed the formate dehydrogenase (Fdh1p) for energy supply and serine deaminase (Cha1p) for active pyruvate synthesis in the S288c parental strain and established growth on formate and serine without glucose in the medium. Further reengineering and evolution of this strain with a consistent energy, and formate-derived serine supply for pyruvate synthesis, is essential to achieve complete formatotrophic growth in the yeast system.
Conservation of the jaguar relies on holistic and transdisciplinary conservation strategies that integratively safeguard essential, connected habitats, sustain viable populations and their genetic exchange, and foster peaceful human-jaguar coexistence. These strategies define four research priorities to advance jaguar conservation throughout the species’ range. In this thesis I provide several relevant ecological and sociological insights into these research priorities, each addressed in a separate chapter. I focus on the effects of anthropogenic landscapes on jaguar habitat use and population gene flow, spatial patterns of jaguar habitat suitability and functional population connectivity, and on innovative governance approaches which can work synergistically to help achieve human-wildlife conviviality. Furthermore, I translate these insights into recommendations for conservation practice by providing tools and suggestions that conservation managers and stakeholders can use to implement local actions but also make broad scale conservation decisions in Central America. In Chapter 2, I model regional habitat use of jaguars, producing spatially-explicit maps for management of key areas of habitat suitability. Using an occupancy model of 13-year-camera-trap occurrence data, I show that human influence has the strongest impact on jaguar habitat use, and that Jaguar Conservation Units are the most important reservoirs of high quality habitat in this region. I build upon these results by zooming in to an area of high habitat suitability loss in Chapter 3, northern Central America. Here I study the drivers of jaguar gene flow and I produce spatially-explicit maps for management of key areas of functional population connectivity in this region. I use microsatellite data and pseudo-optimized multiscale, multivariate resistance surfaces of gene flow to show that jaguar gene flow is influenced by environmental, and even more strongly, by human influence variables; and that the areas of lowest gene flow resistance largely coincide with the location of the Jaguar Conservation Units. Given that human activities significantly impact jaguar habitat use and gene flow, securing viable jaguar populations in anthropogenic landscapes also requires fostering peaceful human-wildlife coexistence. This is a complex challenge that cannot be met without transdisciplinary academic research and cross-sectoral, collaborative governance structures that effectively respond to the multiple challenges of such coexistence. With this in mind, I focus in Chapter 4 on carnivore conservation initiatives that apply transformative governance approaches to enact transformative change towards human-carnivore coexistence. Using the frameworks of transformative biodiversity governance and convivial conservation, I highlight in this chapter concrete pathways, supported by more inclusive, democratic forms of conservation decision-making and participation that promote truly transformative changes towards human-jaguar conviviality.
In this work, the role of the TusA protein was investigated for the cell functionality and FtsZ ring assembly in Escherichia coli. TusA is the tRNA-2-thiouridine synthase that acts as a sulfur transferase in tRNA thiolation for the formation of 2-thiouridine at the position 34 (wobble base) of tRNALys, tRNAGlu and tRNAGln. It binds the persulfide form of sulfur and transfers it to further proteins during mnm5s2U tRNA modification at wobble position and for Moco biosynthesis. With this thiomodification of tRNA, the ribosome binding is more efficient and frameshifting is averted during the protein translation. Previous studies have revealed an essential role of TusA in bacterial cell physiology since deletion of the tusA gene resulted in retarded growth and filamentous cells during the exponential growth phase in a rich medium which suddenly disappeared during the stationary phase. This indicates a problem in the cell division process. Therefore the focus of this work was to investigate the role of TusA for cell functionality and FtsZ ring formation and thus the cell separation.
The reason behind the filamentous growth of the tusA mutant strain was investigated by growth and morphological analyses. ΔtusA cells showed a retarded growth during the exponential phase compared to the WT strain. Also, morphological analysis of ΔtusA cells confirmed the filamentous cell shape. The growth and cell division defects in ΔtusA indicated a defect in FtsZ protein as a key player of cell division. The microscopic investigation revealed that filamentous ΔtusA cells possessed multiple DNA parts arranged next to each other. This suggested that although the DNA replication occurred correctly, there was a defect in the step where FtsZ should act; probably FtsZ is unable to assemble to the ring structure or the assembled ring is not able to constrict. All tested mutant strains (ΔtusD, ΔtusE and ΔmnmA) involved in the mnm5s2U34 tRNA modification pathway shared the similar retarded growth and filamentous cell shape like ΔtusA strain. Thus, the cell division defect arises from a defect in mnm5s2U34 tRNA thiolation.
Since the FtsZ ring formation was supposed to be defective in filaments, a possible intracellular interaction of TusA and FtsZ was examined by fluorescent (EGFP and mCherry) fusion proteins expression and FRET. FtsZ expressing tusA mutant (DE3) cells showed a red mCherry signal at the cell poles, indicating that FtsZ is still in the assembling phase. Interestingly, the cellular region of EGFP-TusA fusion protein expressed in ΔtusA (DE3) was conspicuous; the EGFP signal was spread throughout the whole cell and, in addition, a slight accumulation of the EGFP-TusA fluorescence was detectable at the cell poles, the same part of the cell as for mCherry-FtsZ. Thus, this strongly suggested an interaction of TusA and FtsZ.
Furthermore, the cellular FtsZ and Fis concentrations, and their change during different growth phases were determined via immunoblotting. All tested deletion strains of mnm5s2U34 tRNA modification show high cellular FtsZ and Fis levels in the exponential phase, shifting to the later growth phases. This shift reflects the retarded growth, whereby the deletion strains reach later the exponential phase. Conclusively, the growth and cell division defect, and thus the formation of filaments, is most likely caused by changes in the cellular FtsZ and Fis concentrations.
Finally, the translation efficiencies of certain proteins (RpoS, Fur, Fis and mFis) in tusA mutant and in additional gene deletion strains were studied whether they were affected by using unmodified U34 tRNAs of Lys, Glu and Gln. The translation efficiency is decreased in mnm5s2U34 tRNA modification-impaired strains in addition to their existing growth and cell division defect due to the elimination of these three amino acids. Finally, these results confirm and reinforce the importance of Lys, Glu and Gln and the mnm5s2U34 tRNA thiolation for efficient protein translation. Thus, these findings verify that the translation of fur, fis and rpoS is regulated by mnm5s2U34 tRNA modifications, which is growth phase-dependent.
In total, this work showed the importance of the role of TusA for bacterial cell functionality and physiology. The deletion of the tusA gene disrupted a complex regulatory network within the cell, that most influenced by the decreased translation of Fis and RpoS, caused by the absence of mnm5s2U34 tRNA modifications. The disruption of RpoS and Fis cellular network influences in turn the cellular FtsZ level in the early exponential phase. Finally, the reduced FtsZ concentration leads to elongated, filamentous E. coli cells, which are unable to divide.
Development of electrochemical antibody-based and enzymatic assays for mycotoxin analysis in food
(2023)
Electrochemical methods are promising to meet the demand for easy-to-use devices monitoring key parameters in the food industry. Many companies run own lab procedures for mycotoxin analysis, but it is a major goal to simplify the analysis. The enzyme-linked immunosorbent assay using horseradish peroxidase as enzymatic label, together with 3,3',5,5' tetramethylbenzidine (TMB)/H2O2 as substrates allows sensitive mycotoxin detection with optical detection methods. For the miniaturization of the detection step, an electrochemical system for mycotoxin analysis was developed. To this end, the electrochemical detection of TMB was studied by cyclic voltammetry on different screen-printed electrodes (carbon and gold) and at different pH values (pH 1 and pH 4). A stable electrode reaction, which is the basis for the further construction of the electrochemical detection system, could be achieved at pH 1 on gold electrodes. An amperometric detection method for oxidized TMB, using a custom-made flow cell for screen-printed electrodes, was established and applied for a competitive magnetic bead-based immunoassay for the mycotoxin ochratoxin A. A limit of detection of 150 pM (60 ng/L) could be obtained and the results were verified with optical detection. The applicability of the magnetic bead-based immunoassay was tested in spiked beer using a handheld potentiostat connected via Bluetooth to a smartphone for amperometric detection allowing to quantify ochratoxin A down to 1.2 nM (0.5 µg/L).
Based on the developed electrochemical detection system for TMB, the applicability of the approach was demonstrated with a magnetic bead-based immunoassay for the ergot alkaloid, ergometrine. Under optimized assay conditions a limit of detection of 3 nM (1 µg/L) was achieved and in spiked rye flour samples ergometrine levels in a range from 25 to 250 µg/kg could be quantified. All results were verified with optical detection. The developed electrochemical detection method for TMB gives great promise for the detection of TMB in many other HRP-based assays.
A new sensing approach, based on an enzymatic electrochemical detection system for the mycotoxin fumonisin B1 was established using an Aspergillus niger fumonisin amine oxidase (AnFAO). AnFAO was produced recombinantly in E. coli as maltose-binding protein fusion protein and catalyzes the oxidative deamination of fumonisins, producing hydrogen peroxide. It was found that AnFAO has a high storage and temperature stability. The enzyme was coupled covalently to magnetic particles, and the enzymatically produced H2O2 in the reaction with fumonisin B1 was detected amperometrically in a flow injection system using Prussian blue/carbon electrodes and the custom-made wall-jet flow cell. Fumonisin B1 could be quantified down to 1.5 µM (≈ 1 mg/L). The developed system represents a new approach to detect mycotoxins using enzymes and electrochemical methods.
Species are adapted to the environment they live in. Today, most environments are subjected to rapid global changes induced by human activity, most prominently land cover and climate changes. Such transformations can cause adjustments or disruptions in various eco-evolutionary processes. The repercussions of this can appear at the population level as shifted ranges and altered abundance patterns. This is where global change effects on species are usually detected first.
To understand how eco-evolutionary processes act and interact to generate patterns of range and abundance and how these processes themselves are influenced by environmental conditions, spatially-explicit models provide effective tools. They estimate a species’ niche as the set of environmental conditions in which it can persist. However, the currently most commonly used models rely on static correlative associations that are established between a set of spatial predictors and observed species distributions. For this, they assume stationary conditions and are therefore unsuitable in contexts of global change. Better equipped are process-based models that explicitly implement algorithmic representations of eco-evolutionary mechanisms and evaluate their joint dynamics. These models have long been regarded as difficult to parameterise, but an increased data availability and improved methods for data integration lessen this challenge. Hence, the goal of this thesis is to further develop process-based models, integrate them into a complete modelling workflow, and provide the tools and guidance for their successful application.
With my thesis, I presented an integrated platform for spatially-explicit eco-evolutionary modelling and provided a workflow for their inverse calibration to observational data. In the first chapter, I introduced RangeShiftR, a software tool that implements an individual-based modelling platform for the statistical programming language R. Its open-source licensing, extensive help pages and available tutorials make it accessible to a wide audience. In the second chapter, I demonstrated a comprehensive workflow for the specification, calibration and validation of RangeShiftR by the example of the red kite in Switzerland. The integration of heterogeneous data sources, such as literature and monitoring data, allowed to successfully calibrate the model. It was then used to make validated, spatio-temporal predictions of future red kite abundance. The presented workflow can be adopted to any study species if data is available. In the third chapter, I extended RangeShiftR to directly link demographic processes to climatic predictors. This allowed me to explore the climate-change responses of eight Swiss breeding birds in more detail. Specifically, the model could identify the most influential climatic predictors, delineate areas of projected demographic suitability, and attribute current population trends to contemporary climate change.
My work shows that the application of complex, process-based models in conservation-relevant contexts is feasible, utilising available tools and data. Such models can be successfully calibrated and outperform other currently used modelling approaches in terms of predictive accuracy. Their projections can be used to predict future abundances or to assess alternative conservation scenarios. They further improve our mechanistic understanding of niche and range dynamics under climate change. However, only fully mechanistic models, that include all relevant processes, allow to precisely disentangle the effects of single processes on observed abundances. In this respect, the RangeShiftR model still has potential for further extensions that implement missing influential processes, such as species interactions.
Dynamic, process-based models are needed to adequately model a dynamic reality. My work contributes towards the advancement, integration and dissemination of such models. This will facilitate numeric, model-based approaches for species assessments, generate ecological insights and strengthen the reliability of predictions on large spatial scales under changing conditions.
Following the extinction of dinosaurs, the great adaptive radiation of mammals occurred, giving rise to an astonishing ecological and phenotypic diversity of mammalian species. Even closely related species often inhabit vastly different habitats, where they encounter diverse environmental challenges and are exposed to different evolutionary pressures. As a response, mammals evolved various adaptive phenotypes over time, such as morphological, physiological and behavioural ones. Mammalian genomes vary in their content and structure and this variation represents the molecular mechanism for the long-term evolution of phenotypic variation. However, understanding this molecular basis of adaptive phenotypic variation is usually not straightforward.
The recent development of sequencing technologies and bioinformatics tools has enabled a better insight into mammalian genomes. Through these advances, it was acknowledged that mammalian genomes differ more, both within and between species, as a consequence of structural variation compared to single-nucleotide differences. Structural variant types investigated in this thesis - such as deletion, duplication, inversion and insertion, represent a change in the structure of the genome, impacting the size, copy number, orientation and content of DNA sequences. Unlike short variants, structural variants can span multiple genes. They can alter gene dosage, and cause notable gene expression differences and subsequently phenotypic differences. Thus, they can lead to a more dramatic effect on the fitness (reproductive success) of individuals, local adaptation of populations and speciation.
In this thesis, I investigated and evaluated the potential functional effect of structural variations on the genomes of mustelid species. To detect the genomic regions associated with phenotypic variation I assembled the first reference genome of the tayra (Eira barbara) relying on linked-read sequencing technology to achieve a high level of genome completeness important for reliable structural variant discovery. I then set up a bioinformatics pipeline to conduct a comparative genomic analysis and explore variation between mustelid species living in different environments. I found numerous genes associated with species-specific phenotypes related to diet, body condition and reproduction among others, to be impacted by structural variants.
Furthermore, I investigated the effects of artificial selection on structural variants in mice selected for high fertility, increased body mass and high endurance. Through selective breeding of each mouse line, the desired phenotypes have spread within these populations, while maintaining structural variants specific to each line. In comparison to the control line, the litter size has doubled in the fertility lines, individuals in the high body mass lines have become considerably larger, and mice selected for treadmill performance covered substantially more distance. Structural variants were found in higher numbers in these trait-selected lines than in the control line when compared to the mouse reference genome. Moreover, we have found twice as many structural variants spanning protein-coding genes (specific to each line) in trait-selected lines. Several of these variants affect genes associated with selected phenotypic traits. These results imply that structural variation does indeed contribute to the evolution of the selected phenotypes and is heritable.
Finally, I suggest a set of critical metrics of genomic data that should be considered for a stringent structural variation analysis as comparative genomic studies strongly rely on the contiguity and completeness of genome assemblies. Because most of the available data used to represent reference genomes of mammalian species is generated using short-read sequencing technologies, we may have incomplete knowledge of genomic features. Therefore, a cautious structural variation analysis is required to minimize the effect of technical constraints.
The impact of structural variants on the adaptive evolution of mammalian genomes is slowly gaining more focus but it is still incorporated in only a small number of population studies. In my thesis, I advocate the inclusion of structural variants in studies of genomic diversity for a more comprehensive insight into genomic variation within and between species, and its effect on adaptive evolution.
The global climate crisis is significantly contributing to changing ecosystems, loss of biodiversity and is putting numerous species on the verge of extinction. In principle, many species are able to adapt to changing conditions or shift their habitats to more suitable regions. However, change is progressing faster than some species can adjust, or potential adaptation is blocked and disrupted by direct and indirect human action. Unsustainable anthropogenic land use in particular is one of the driving factors, besides global heating, for these ecologically critical developments. Precisely because land use is anthropogenic, it is also a factor that could be quickly and immediately corrected by human action.
In this thesis, I therefore assess the impact of three climate change scenarios of increasing intensity in combination with differently scheduled mowing regimes on the long-term development and dispersal success of insects in Northwest German grasslands. The large marsh grasshopper (LMG, Stethophyma grossum, Linné 1758) is used as a species of reference for the analyses. It inhabits wet meadows and marshes and has a limited, yet fairly good ability to disperse. Mowing and climate conditions affect the development and mortality of the LMG differently depending on its life stage.
The specifically developed simulation model HiLEG (High-resolution Large Environmental
Gradient) serves as a tool for investigating and projecting viability and dispersal success under different climate conditions and land use scenarios. It is a spatially explicit, stage- and cohort-based model that can be individually configured to represent the life cycle and characteristics of terrestrial insect species, as well as high-resolution environmental data and the occurrence of external disturbances. HiLEG is a freely available and adjustable software that can be used to support conservation planning in cultivated grasslands.
In the three case studies of this thesis, I explore various aspects related to the structure of simulation models per se, their importance in conservation planning in general, and insights regarding the LMG in particular. It became apparent that the detailed resolution of model processes and components is crucial to project the long-term effect of spatially and temporally confined events. Taking into account conservation measures at the regional level has further proven relevant, especially in light of the climate crisis. I found that the LMG is benefiting from global warming in principle, but continues to be constrained by harmful mowing regimes. Land use measures could, however, be adapted in such a way that they allow the expansion and establishment of the LMG without overly affecting agricultural yields.
Overall, simulation models like HiLEG can make an important contribution and add value
to conservation planning and policy-making. Properly used, simulation results shed light
on aspects that might be overlooked by subjective judgment and the experience of individual stakeholders. Even though it is in the nature of models that they are subject to limitations and only represent fragments of reality, this should not keep stakeholders from using them, as long as these limitations are clearly communicated. Similar to HiLEG, models could further be designed in such a way that not only the parameterization can be adjusted as required, but also the implementation itself can be improved and changed as desired. This openness and flexibility should become more widespread in the development of simulation models.
Dielektrophorese ist die Manipulation polarisierbarer Partikel durch inhomogene elektrische Wechselfelder. In dieser Arbeit wurden drei verschiedene Enzyme durch Dielektrophorese immobilisiert und anschließend hinsichtlich ihrer katalytischen Aktivität untersucht: Meerrettichperoxidase, Cholinoxidase aus Alcaligenes sp. und Glucoseoxidase aus Aspergillus niger. Die Immobilisierung erfolgte durch Dielektrophorese auf nano-Elektrodenarrays aus Wolfram-Zylindern mit 500 nm Durchmesser oder aus Titannitrid-Ringen mit 20 nm Breite. Die Immobilisierung der Enzyme konnte fluoreszenzmikroskopisch entweder anhand der intrinsischen Fluoreszenz oder aufgrund einer Fluoreszenzmarkierung vor oder nach der Immobilisierung für alle getesteten Enzyme nachgewiesen werden. Die Messung der Enzymaktivität erfolgte quantitativ durch den direkten oder indirekten Nachweis des gebildeten Produktes oder, im Falle der Cholinoxidase, durch Beobachtung der intrinsischen Fluoreszenz des Cofaktors FAD, die vom Oxidationszustand dieses Enzyms abhängt. Für die Meerrettichperoxidase konnte so eine hohe erhaltene Enzymaktivität nach der Immobilisierung nachgewiesen werden. Die Aktivität der permanent immobilisierten Fraktion der Meerrettichperoxidase entsprach bis zu 47 % der höchstmöglichen Aktivität einer Monolage dieses Enzyms auf den Elektroden des Chips. Diese Aktivität kann als aktive, aber zufällig gegenüber der Oberfläche ausgerichtete Enzymschicht interpretiert werden. Für die permanent immobilisierte Glucoseoxidase wurde nur eine Aktivität entsprechend <1,3 % der Aktivität einer solchen Enzymschicht detektiert, während für die immobilisierte Cholinoxidase gar keine Aktivität nachgewiesen werden konnte. Die Aktivität der durch DEP immobilisierten Enzyme konnte somit quantitativ bestimmt werden. Der Anteil an erhaltener Aktivität hängt dabei stark vom verwendeten Enzym ab.
Establishment of final leaf size in plants represents a complex mechanism that relies on the precise regulation of two interconnected cellular processes, cell division and cell expansion. In previous work, the barley protein BROAD LEAF1 (BLF1) was identified as a novel negative regulator of cell proliferation, that mainly limits leaf growth in the width direction. Here I identified a novel RING/U-box protein that interacts with BLF1 through a yeast two hybrid screen. Using BiFC, Co-IP and FRET I confirmed the interaction of the two proteins in planta. Enrichment of the BLF1-mEGFP fusion protein and the increase of the FRET signal upon MG132 treatment of tobacco plants, together with an in vivo ubiquitylation assay in bacteria, confirmed that the RING/U-box E3 interacts with BLF1 to mediate its ubiquitylation and degradation by the 26S proteasome system. Consistent with regulation of endogenous BLF1 in barley by proteasomal degradation, inhibition of the proteasome by bortezomib treatment on BLF1-vYFP transgenic barley plants also resulted in an enrichment of the BLF1 protein. I thus demonstrated that RING/U-box E3 is colocalized with BLF1 in nuclei and negatively regulates BLF1 protein levels. Analysis of ring-e3_1 knock-out mutants suggested the involvement of the RING/U-box E3 gene in leaf growth control, although the effect was mainly on leaf length. Together, my results suggest that proteasomal degradation, possibly mediated by RING/U-box E3, contributes to fine-tuning BLF1 protein-level in barley.
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.
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.