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Molybdenum dependent enzymes are involved in essential metabolic transformations in bacteria, plants, and human beings. The extreme instability of the molybdenum cofactor (Moco) prevents its use as an effective treatment for patients with a Moco deficiency. Therefore, the design, develop and execute the artificial molybdenum cofactor models are essential.
In the present thesis, the asymmetric molybdopterin (mpt) model precursors with oxygen functionality and various electronic structures and their Moco model complexes mimicking the natural cofactor have been synthesized and comprehensively investigated through multi-nuclear NMR, MS, IR, resonance Raman, X-ray crystallography, UV-Vis, and electrochemical methods. Notably, the asymmetrically substituted dithiolenes in this thesis are confirmed through a significant push-pull effect, which is tuning its electronic structure. The redox behavior of Moco model complexes was investigated by temperature-dependent cyclic voltammetry. Electronic and vibrational spectral studies were investigated in detail to understand substituents effect on the electronic structure of model complexes and to elucidate roles of mpt in catalysis. Since the model complexes can be considered as structural models for the Moco dependent oxidoreductases, catalytic oxygen atom transfer (OAT) reactions in DMSO/PPh3 were investigated.
The main focus of the present thesis was achieved through the development of various synthetic routes that address phosphonate bearing dithiolene ligands, inspiring the natural mpt. Simultaneously the Minisci protocol was applied for the synthesis of new pterin ketophosphonates, taking into consideration the essential aspects of the natural molybdopterin, including the phosphate anchor group. Even though some aspects of this protocol require further optimizations, but the mentioned synthetic route has exceptional potential and flexibility.
The aim of the present dissertation was to investigate the biological and chemical potential of two European mushroom species: Fomitopsis betulina and Calvatia gigantea. For this purpose, different extracts of both fungi were tested for: antimicrobial, antifungal, cytotoxic, in vitro wound healing, and anti-adhesive properties. Bioassay-guided fractionation led to the isolation of bioactive compounds, altogether 20 compounds were isolated and identified. The compounds were obtained from the ethyl acetate extracts, they included triterpenes, sterols and aromatic compounds. The separated substances from both fungi were proved for biological activities, some of them showed antimicrobial and cytotoxic activities.
Microbial cell factories have been largely exploited for the controlled production of recombinant proteins, including industrial enzymes and biopharmaceuticals. The advent of high-throughput ‘-omics’ techniques have boosted the design of these production systems due to their valuable contribution to the field of systems metabolic engineering, a discipline integrating metabolic engineering with systems and synthetic biology. In order to thrive, the field of systems metabolic engineering needs absolute proteomics data to be generated, as proteins are the central players in the complex metabolic and adaptational networks. Due to advent of mass spectrometry-based proteomics, a substantial amount of absolute proteomic data became available in the past decade. However, membrane proteins remained inaccessible to these efforts.
Nonetheless, comparative studies targeting the membrane proteome have been quite successful in characterizing physiological processes. Hence, label-free proteomics was used in a study (Quesada-Ganuza et al, 2019 – Article I) to identify and optimize PrsA in Bacillus subtilis, for improved yield of amylase. Amylase is one of the most relevant enzymes in the biotechnological sector. By employing a label-free mass spectrometry approach targeting the membrane proteome of this bacterium, relative changes in heterologous and native levels of PrsA could be quantified. The results of this study evidenced that each PrsA shows different relative abundancies, but with no relevant impact in the yield of amylase.
Even though relative protein quantification can already provide a good visualization of the physiological changes occurring between different conditions, they are not sufficient to understand how resources are allocated in the cell under certain physiological conditions. Therefore, a global method for absolute membrane protein quantification remains the biggest requirement for systems metabolic engineering.
Hence, with this work, we successfully developed a mass spectrometry-based approach enabling the absolute quantification of membrane proteins (Antelo-Varela et al, 2019 – Article II). This study was also performed in the Gram-positive model organism Bacillus subtilis, regarded as a prolific microbial cell factory. The method developed in this work combines the comprehensiveness of shotgun proteomics with the sensitivity and accuracy of targeted mass spectrometry. Fundamental to the method is that it relies on the application of a correction and an enrichment factor to calibrate absolute membrane protein abundances derived from shotgun mass spectrometry. This has permitted, for the first time reported, the calculation of absolute membrane protein abundances in a living organism.
The newly developed approach enabled to accurately quantify ~40% of the predicted proteome of this bacterium, offering a clear visualization of the physiological rearrangements occurring upon the onset of osmotic stress. In addition, this work also provides evidence for new membrane protein stoichiometries.
Overall, this study enabled the development of a straightforward methodology long-needed in the scientific and biotechnological community and, for the first time reported, providing absolute abundances of one of the most puzzling fractions of the cell – the membrane proteome.
The next step of the work summarized here was to implement the afore described method to a biotechnological relevant strain, as absolute membrane protein abundances are essential to understand the fundamental principles of protein secretion and production stress. Hence, this work was applied in a genome-reduced B. subtilis strain, ‘midiBacillus’, expressing the major staphylococcal antigen IsaA (Antelo-Varela et al, submitted – Article III). The employed absolute membrane protein quantification methodology enabled the analysis of physiological rearrangements occurring upon the induction of heterologous protein production. This work showed that, even though IsaA was successfully secreted into the growth medium, one of the main requirements for the biotechnological sector, it was still partly accumulated in the cell membrane of this bacterium. This led to an exacerbated physiological response where membrane proteins involved in the management of secretion stress were activated. In addition, this study also showed that a rearrangement of the cell’s translocation machinery occurs upon induction of production, where a ‘game’ of in- and decrease of transporters takes place.
Anticipating the impact of genetic and environmental insults, such as the ones caused by production stress, is essential for the field of systems metabolic engineering. Thus, the highly accurate and comprehensive dataset generated during this work can be implemented in predictive mathematical models, thereby contributing in the rational design of next-generation secretion systems.
With this thesis, studies which form the bedrock for the long term goal of first wall heat load control and optimization for the advanced stellarator Wendelstein 7-X are developed, described and put into context. It is laid out how reconstruction of features of the edge magnetic field from plasma facing component heat loads is an important first step and can successfully be achieved by artificial neural networks. A detailed study of plasma facing component heat load distribution, potential overloads and overload mitigation possibilities is made in first order approximation of the impact of the main plasma dynamic effects.
Using validated analytical tools and optimized sampling procedures, it was possible to detect a vast number of metabolites from the extracellular space but also from the cytosol of B. subtilis. The results indicate that the complement of the analytical methods was suitable in the monitoring of the metabolome since it allowed a great coverage of physicochemical diverse metabolites. However, a wide number of unknown metabolites/features were also detected. Although broad databases exist that can help in the annotation of metabolites, further investigation is needed in their identification. In unpredictable changing conditions, bacterial cells possess appropriate adaptation strategies for a successful bacterial growth. These rely on sensing mechanisms that globally adjust gene expression via transcription and feedback regulations. The metabolic sensing mechanisms have emerged as key roles in the nutritional information and regulation of cell cycle processes. In this work, a new quality of information regarding the metabolism and adaptation to the absence of key signal mechanisms in B. subtilis was provided. Investigations of cells lacking Pyk uncovered alterations in the import of glucose and pyruvate from the nutritional media. These results gives insights to the pyruvate homeostasis mechanism but also brought new questions concerning the regulation of the CCR. Pyruvate wasn't susceptible to the glucose dependent CCR in Δpyk. The earlier in ux of pyruvate in these cells is in accordance to the newly discovered pyruvate transport mechanism. Also, it was speculated that the lower consumption of external glucose could be a consequence of the impairment of the PTS system in the mutant cells due to the accumulation of glycolytic metabolite FBP. In future studies, insights of the PTS system mechanism should be done in these conditions, that could comprise the determination of HPr phosphorylation and the HPrK activity. This study also arose new questions that should be address, that include the higher secretion of acetoin and 2,3-butanediol, and the lower accumulation of shikimate 3-phosphate by the mutant cells. In an untargeted metabolomic analysis, a vast number of altered features were suggested to be fatty acids metabolites, precursors of phospholipids and LTA. Complementary approaches should be done for the confirmation of these metabolites and the inspection of possible alterations in the membrane structure. In the study of LTA mutants, the accumulation of PG precursors provided a hint of altered cell wall assembly. Although by uorescence microscopy no clear changes were detected, the metabolic results emphasized the previous assumption of the affected hydrolytic activity occurring in the PG. For comprehensive knowledge of the cell wall it would be important to detect and identify more metabolites of the LTA anchor using optimized cromatographic method. These results could be complemented with other omics data sets studies which would help in the elucidation of these key regulatory systems mechanisms.
Escherichia coli has been commonly used as a platform for recombinant protein production and accounts for approximately 30% of current biopharmaceuticals on the market. Nowadays, many recombinant proteins require post-translational modifications which E. coli normally cannot facilitate. Therefore, novel technological advancements are unceasingly being developed to improve the E. coli expression system. In this work, some of the most recently engineered platforms for the production of disulfide bond-containing proteins were used to study the E. coli proteome under heterologous protein production stress. The effects of protein secretion via the Sec and Tat translocation pathways were examined using a comparative LC-MS/MS analysis. The E. coli proteome responds to foreign protein production by activation of several overlapping stress responses with a high degree of interaction. In consequence, a number of important cellular processes such as cellular metabolism, protein transport, redox state of the cytoplasm and membrane structure are altered by the production stress. These changes lead to the reduction of cellular growth and recombinant product yields. Resolving the identified bottlenecks will increase the efficiency of recombinant protein expression processes in E. coli.
In the present work high density helicon plasma discharges are created and characterized as a promising concept towards the realization of plasma wakefield accelerators to build up electric fields in the order of GV/m to accelerate electrons to energies in the TeV range with proton driving bunches. For such a concept plasma sources are needed that are able to maintain discharges with plasma densities of n_e = 7E20 m^-3 over long distances with a low variation in plasma density. Measurements at the PROMETHEUS-A device are performed for variable parameters, like magnetic induction, RF heating power and filling gas pressure. A CO2 laser interferometer, a laser induced fluorescence (LIF) diagnostic and a reaction rate model are combined to give a full picture. It is shown that in most cases the plasma density is centrally peaked with a high density region +- 5 mm from the center. The peak plasma density increases with increasing filling gas pressure, RF heating power and magnetic induction, limited by the number of neutral particles in low pressure discharges, by the transferred heating power and the increasing recombination and electron quenching rates of argon ions in high filling pressure cases. The increase in plasma density with increasing magnetic induction correlates to the direct proportionality in the helicon dispersion relation. For all investigated operational parameters the time evolution of the helicon discharge shows the same characteristics and is reliably reproducable inside the error bars. The electron temperature is determined by combining the collisional radiative model with line ratio measurements of two spontaneously emitted LIF lines. The low electron temperature regime of 1.2 eV < T_e < 1.4 eV and the electron temperature profiles are consistent with helicon wave heating via collisional power dissipation. The maximum plasma density of n_e = (6 +- 1)E20 m^-3 is measured at high RF power of P_RF = 24 kW, p_0 = 9 Pa filling gas pressure and a magnetic induction of B = 105 mT with a maximum electron temperature at 1.4 eV. At these operational parameters the plasma density peaking time and width are determined to be 270E-6 s and 50E-6 s, respectively. This shows that specific plasma density requirements for the use of a wakefield accelerator are reachable and the duration of the peak plasma density is more than sufficient for a relativistic particle to pass a 1 km long plasma cell. Additionally time-resolved LIF profile measurements for neutral and singly ionized argon were conducted to complement the previously evaluated measurements. The time resolution of the LIF diagnostic was chosen in a way to adequately represent the evolution of densities and to allow full profile measurements over one day. A resolution of 200E-6 s was chosen. The time-resolved neutral and ion metastable densities show hollow profiles with high densities at the edges over the first ms indicating higher ionization levels and increasing electron quenching rates. The metastable densities are highly determined by electron temperature, RF heating power and filling neutral gas pressure and do not reflect the neutral argon evolution. To investigate the influence of neutral depletion on the density evolution and maximum plasma density, the argon neutral and ion ground state densities are determined. Both time-resolved density profiles show a hollow profile with highest densities at the edges over a longer time interval of 3-4 ms. The penetration depths (ionization mean-free paths) indicate increased ionization of neutral argon while dissipating inwards, corresponding well to the theoretical value of lambda = 20 mm. This results in a depletion of neutrals in the center of the discharge, leading to a limitation and a fast decrease of plasma density after the neutrals are partially ionized. The shown refilling effect of neutral argon is too slow to have an important impact. At operation parameters for highest plasma density, the calculated ground states also show a fast increase in density at the end of the discharge after the RF-heating is switched off. This indicates recombination effects to these atomic states and higher ionization levels than ArII in the helicon discharge.
The advances in high-throughput sequencing technologies have revolutionized the possibilities for pathogen identification in cases of unknown disease origin. Diagnostic metagenomics allows the unbiased and simultaneous detection of almost all nucleic acids in a clinical sample, with the potential to provide pivotal insights into otherwise undeterminable causes of human or animal disease.
In this thesis, possibilities, pitfalls and the suitability of Ion Torrent and Illumina sequencing platforms for comprehensive use in diagnostic metagenomics were assessed and optimized procedures developed. Clinical field samples, undiagnosable by standard diagnostics, were taken as real-life examples for the investigations. The results show that cross-contamination due to index swapping and run-to-run-carryover constitute a major issue on Illumina platforms, severely compromising the correct interpretation of results for clinical specimens. In contrast, Ion Torrent platforms did not display any form of cross-contamination, however, the commercial library preparation method is less efficient. Combining the advantages of both platforms, customized Y adapters, facilitating highly efficient library preparation, were developed for Ion Torrent sequencing and applied in further experiments. The obstacles of strongly degraded RNA in formalin-fixed paraffin-embedded samples were identified and the workflow adapted to meet the requirements of smaller fragments. Additionally, it was shown that adequate sampling is a very important step, if not the most important step, in the workflow, as well as subsequent validation of the obtained results in terms of causation. The achievements in this study allow other researchers the application of a sensitive and optimized diagnostic metagenomics workflow.
Furthermore, the investigations on the clinical samples resulted in the discovery of a novel respirovirus with putative zoonotic potential, the first description of Borna disease virus 1 in human organ transplant recipients, and the discovery of a very distantly related novel ovine picornavirus. These discoveries build a basis for further research and expand the knowledge regarding new and emerging viruses.
For decades, evolutionary biologists have sought to understand the evolution of individual behaviour, physiology and ecology allowing organisms to cope to environmental change. One of the main challenges of current climate change is the unprecedent rate of temperature increase, as well as the increased occurence of extreme heat events. Interindividual response variability opens a whole new area of opportunities to understand how individual phenotypic traits are linked to individual response differences. In colour polymorphic species, colour honestly reflects an individual’s life-history strategy, and each morph may, therefore, represent an alternative life-history strategy. As such, colour polymorphic species, such as the Gouldian finch (Erythrura gouldiae), may be good models to assess how different strategies between morphs are linked to their espective responses to environmental variations. However, polymorphic species have mainly been disregarded for that purpose. In this context, the main aim of this thesis was to understand how the two morphs of the Gouldian finch respond through phenotypic plasticity to simulated heatwaves reaching thermocritical temperatures, and whether such differential responses may help to identify a ‘winner’ and a ‘loser’ morph in the light of climate change. To address these issues, we used an integrative approach including measurements of behavioural (Study 1), physiological (Study 2), and reproductive (Study 3) parameters. The novelty of our approach was to assess the immediate behavioural and physiological response variation of individuals of the two morphs longitudinally across different thermal conditions, as well as the postponed effects of this thermocritical heatwave exposure on their reproductive performance. In this study, although the behavioural responses generally did not differ between morphs or according to temperature intensity, the physiological and reproductive parameters differed in response to morph and temperature intensity. Blackheaded females, in particular, seem highly sensitive to thermocritical heatwaves, as they exhibited decreased body mass and increased oxidative damage during the thermocritical heatwaves, and advanced breeding initiation after these conditions, whereas these variables remained mostly unaffected in black-headed males and red-headed individuals. However, despite some response differences between morphs, both invested similarly in reproduction following intense heatwaves, and the offspring of both morphs were similarly affected. Based on these results, no morph therefore seems to appear more disadvantaged than the other following an intense heatwave, and red- and black-headed Gouldian finches may both be considered as climate stress ‘losers’.
Brain aging even in healthy older adults is characterized by a decline in cognitive functions including memory, learning and attention. Among others, memory is one of the major cognitive functions affected by aging. Understanding the mechanisms underlying age-related memory decline may help pave the road for novel treatment strategies. Here, we tried to elucidate the neural correlates associated with memory decline using structural and functional neuroimaging and neuromodulation with transcranial direct current stimulation (tDCS).
Over the course of three studies, we investigated 1) the influence of white matter integrity and grey matter volume on memory performance in healthy older adults, 2) the role of functional coupling within the memory network in predicting memory performance and the impact of tDCS in modulating retrieval performance in healthy older adults, 3) the effect of tDCS over the sensorimotor cortex on cognitive performance in young adults.
MRI was used to study associations of cognitive performance with white matter integrity and grey matter volume, and examine their causal relationship in the course of aging. White matter integrity was assessed by acquiring diffusion tensor imaging (DTI) and performing deterministic tractography based on constrained spherical deconvolution. Grey matter volume was estimated using fully automated segmentation. Both white matter integrity and grey matter volume were correlated with behavioral data of a verbal episodic memory task. Percentage of correct answers at retrieval was used to measure memory performance (Manuscript 1). In addition, anodal tDCS (atDCS) (1 mA, 20 min) was applied over CP5 (left temporoparietal cortex) to modulate memory formation in healthy older adults. Participants underwent resting-state fMRI before the stimulation. Functional connectivity analysis was performed to determine whether functional coupling within the memory network predicted initial memory performance, and to examine its association to tDCS-induced enhancement effect (Manuscript 2). Finally, atDCS (1 mA, 20 min) was applied over C3 (left sensorimotor cortex) to explore the effect of tDCS over the sensorimotor cortex on cognitive performance in young adults. During the stimulation, participants performed three tasks; gestural task, attentional load task and simple reaction time task (Manuscript 3).
Results showed that volumes of the left dentate gyrus (DG) and tractography-based fractional anisotropy (FA) of individual fornix pathways were positively related to memory retrieval in older adults. Brain-behavior associations were observed for correct rejections rather than hits of memory performance, indicating specificity of memory network functioning for detecting false associations. Thus, the data suggested a particular role of neural integrity that promotes successful memory retrieval in older adults. Subsequent mediation analysis showed that left DG volume mediated the effect of fornix FA on memory performance (48%), corrected for age, revealing a crucial role of hippocampal pathway microstructure in modulating memory performance in older adults (Manuscript 1). tDCS results showed that atDCS led to better retrieval performance and increasing learning curves, indicating that brain stimulation can induce plasticity of episodic memory processes in older adults. Combining tDCS and fMRI, hippocampo-temporoparietal functional connectivity was positively associated with initial memory performance in healthy older adults and was positively correlated with the magnitude of individual tDCS-induced enhancement, suggesting that individual tDCS responsiveness may be determined by intrinsic network coupling (Manuscript 2). Finally, our findings suggested that atDCS over left sensorimotor cortex reduced reaction times in the gestural-verbal integration task, specifically for incongruent pairs of gestures and verbal expressions, indicating the role of sensorimotor cortex in gestural-verbal integration in young adults (Manuscript 3).
The results of all three studies may help to elucidate age-related structural deterioration and functional coupling network underlying cognitive processes in healthy adults. Furthermore, these studies emphasized the importance of interventions like tDCS in modulating cognitive performance, specifically episodic verbal memory and gestural-verbal integration. By unveiling the specific role of brain structures and functional network coupling as well as the role of tDCS in modulating cognitive performance, our results contribute to a better understanding of brain-behavior associations, and may help to develop clinical interventional approaches, tailored for specific cognitive functions in aging.