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Despite general concern that the massive deposits of methane stored under permafrost underground and undersea could be released into the atmosphere due to rising temperatures attributed to global climate change, little is known about the methanogenic microorganisms in permafrost sediments, their role in methane emissions, and their phylogeny. The aim of this thesis was to increase knowledge of uncultivated methanogenic microorganisms in submarine and terrestrial permafrost deposits, their community composition, the role they play with regard to methane emissions, and their phylogeny. It is assumed that methanogenic communities in warmer submarine permafrost may serve as a model to anticipate the response of methanogenic communities in colder terrestrial permafrost to rising temperatures. The compositions of methanogenic communities were examined in terrestrial and submarine permafrost sediment samples. The submarine permafrost studied in this research was 10°C warmer than the terrestrial permafrost. By polymerase chain reaction (PCR), DNA was extracted from each of the samples and analyzed by molecular microbiological methods such as PCR-DGGE, RT-PCR, and cloning. Furthermore, these samples were used for in vitro experiment and FISH. The submarine permafrost analysis of the isotope composition of CH4 suggested a relationship between methane content and in situ active methanogenesis. Furthermore, active methanogenesis was proven using 13C-isotope measurements of methane in submarine permafrost sediment with a high TOC value and a high methane concentration. In the molecular-microbiological studies uncultivated lines of Methanosarcina, Methanomicrobiales, Methanobacteriacea and the Groups 1.3 and Marine Benthic from Crenarchaeota were found in all submarine and terrestrial permafrost samples. Methanosarcina was the dominant group of the Archaea in all submarine and terrestrial permafrost samples. The archaeal community composition, in particular, the methanogenic community composition showed diversity with changes in temperatures. Furthermore, cell count of methanogens in submarine permafrost was 10 times higher than in terrestrial permafrost. In vitro experiments showed that methanogens adapt quickly and well to higher temperatures. If temperatures rise due to climate change, an increase in methanogenic activity can be expected as long as organic material is sufficiently available and qualitatively adequate.
Multifunctional reprogrammable actuators based on polymer networks with crystallizable segments
(2019)
Soft polymeric materials, which can change their shape reversibly in response to external stimuli, can serve as actuating components in robotic systems. Besides electroactive polymers (EAP), hydrogels and liquid crystalline elastomers (LCE), crosslinked crystallizable shape-memory polymers networks have been introduced recently as reprogrammable thermo-reversible actuators. The integration of additional functions in such materials will lead to multifunctional polymeric actuators, which meet the complex requirements of modern robotic applications.
The primary aim of this thesis was to achieve multifunctional reprogrammable thermo-reversible actuators based on thermoplastic polymers. Here, three different actuators providing additional functionalities such as surface modification capability (i), self-healing capability (ii) or a tailorable non-response function enabling noncontinuous multi-step motions (iii) were realized. At first, it was hypothesized that surface modifiable polymeric actuators (i) can be achieved by crosslinking of crystallizable thermoplastic terpolymers having reactive moieties, where subsequent thermomechanical programming enables reversible actuations while the sustained reactive groups allow post surface modification. For the second actuator type (ii) it was hypothesized that self-healing during reprogramming of polymeric actuators prepared by crosslinking of crystallizable linear homopolymers, can be achieved by adjusting the amount of freely interpenetrating extractable polymer moieties. Finally, it was hypothesized that thermo-reversible actuators providing a non-response function (iii) and thus enable multistep motions upon continuous normal stimulation, can be achieved by a crosslinked blend of two thermoplastic polymers with co-continuous morphology having a well-separated melting and crystallization transitions. In addition, these actuators can be physically reprogrammed by heating above all melting transitions to provide a different actuating shape.
In this study, surface functionalizable actuators were realized from crosslinked poly[(ethylene)-co-(ethyl acrylate)-co-(maleic anhydride)] (cPEEAMA) based networks. Here crystallizable polyethylene (PE) segments should serve as actuation segments, ethyl acrylate (EA) provides elasticity to the system required for deformation, while reactive maleic anhydride (MA) will be used as chemically modifiable entities for post surface modification. Networks with varied crosslink density were prepared and its effect on thermomechanical properties as well as actuation performance was analyzed. Cyclic thermomechanical experiments were employed to investigate the actuation capability, which revealed a reversible actuation (ε׳rev) between 5 and 15%. Fourier-transform infrared spectroscopy (FTIR) measurements confirmed that MA groups were sustained at the sample surface after processing and programming, which could be modified by reaction with ethylene diamine. Such amine functionalization allows the attachment of bioactive molecules to the actuator surface, which might provide a route to actuating substrates for biotechnology.
Self-healable actuating materials were realized by poly(ε-caprolactone) (PCL) polymer networks with extractable linear PCL fractions of 5 to 60 wt%. A detailed evaluation of the actuation capabilities by cyclic experiments revealed the highest reversible change in strain of Δε = 24% for the cPCL network with 30 wt% of linear polymer. The thermal treatment of damaged samples resulted in the healing of the network when heated to 80 °C. Here a linear polymer fraction ≥ 30 wt% was necessary to achieve a self-healing efficiency of ≥ 50%. The application of such high temperatures erases the programmed actuator shape and at the same time allows to reprogram a new actuating shape. Such sustainable actuators with self-healing function are of great interest for future robotic devices.
Afore mentioned actuators operate continuously between two shapes and their movements can only be interrupted when the temperature is stopped. To overcome this limitation, noncontinuously responding actuators enabling multi-step actuation were realized from crosslinked blend networks prepared from PCL and poly[(ethylene)-co-(vinyl acetate)] (PEVA). These polymers (PCL and PEVA) were selected due to their immiscible character, where crystallizable PE and PCL segments provide two different actuation units, while vinyl acetate (VA) segment enabled sufficient elasticity of the system. A gap of 20 K in the melting and crystallization temperature of PE and PCL was achieved by selecting PEVA with 5 wt% VA content (cPCL-PEVA5) providing a co-continuous phase morphology. Cyclic thermomechanical investigations were employed to investigate noncontinuous actuation, which revealed a high Δε = 25% with a similar contribution from PCL and PE actuation units with a non-response region in the temperature range from 50 to 71 °C in heating step and 30 to 60 °C in cooling step. The actuation related to PCL part changed from 13 to 2% by altering the heating and cooling rates from 3 to 10 K·min-1. Free-standing reversible noncontinuous actuation was realized by rotating demonstrator which exhibits reversible angle change in a custom-made setup. For this purpose, cPCL-PEVA5 stripe was programmed by twisting and reversible rotational actuation was realized from 0 to 180° while pausing in the 90° position during non-response. These blends can be physically programmed to perform reversible noncontinuous actuations, while the programmed geometry can be erased by heating it to temperature above all melting transitions. By physically reprogramming of the material various different actuation modes can be obtained. Such a noncontinuous actuator would be relevant for designing interruptive actuating soft robots at continuous trigger signals.
Microbial processing of organic matter (OM) in the freshwater biosphere is a key component of global biogeochemical cycles. Freshwaters receive and process valuable amounts of leaf OM from their terrestrial landscape. These terrestrial subsidies provide an essential source of energy and nutrients to the aquatic environment as a function of heterotrophic processing by fungi and bacteria. Particularly in freshwaters with low in-situ primary production from algae (microalgae, cyanobacteria), microbial turnover of leaf OM significantly contributes to the productivity and functioning of freshwater ecosystems and not least their contribution to global carbon cycling.
Based on differences in their chemical composition, it is believed that leaf OM is less bioavailable to microbial heterotrophs than OM photosynthetically produced by algae. Especially particulate leaf OM, consisting predominantly of structurally complex and aromatic polymers, is assumed highly resistant to enzymatic breakdown by microbial heterotrophs. However, recent research has demonstrated that OM produced by algae promotes the heterotrophic breakdown of leaf OM in aquatic ecosystems, with profound consequences for the metabolism of leaf carbon (C) within microbial food webs. In my thesis, I aimed at investigating the underlying mechanisms of this so called priming effect of algal OM on the use of leaf C in natural microbial communities, focusing on fungi and bacteria.
The works of my thesis underline that algal OM provides highly bioavailable compounds to the microbial community that are quickly assimilated by bacteria (Paper II). The substrate composition of OM pools determines the proportion of fungi and bacteria within the microbial community (Paper I). Thereby, the fraction of algae OM in the aquatic OM pool stimulates the activity and hence contribution of bacterial communities to leaf C turnover by providing an essential energy and nutrient source for the assimilation of the structural complex leaf OM substrate. On the contrary, the assimilation of algal OM remains limited for fungal communities as a function of nutrient competition between fungi and bacteria (Paper I, II). In addition, results provide evidence that environmental conditions determine the strength of interactions between microalgae and heterotrophic bacteria during leaf OM decomposition (Paper I, III). However, the stimulatory effect of algal photoautotrophic activities on leaf C turnover remained significant even under highly dynamic environmental conditions, highlighting their functional role for ecosystem processes (Paper III).
The results of my thesis provide insights into the mechanisms by which algae affect the microbial turnover of leaf C in freshwaters. This in turn contributes to a better understanding of the function of algae in freshwater biogeochemical cycles, especially with regard to their interaction with the heterotrophic community.
Fire prone Mediterranean-type vegetation systems like those in the Mediterranean Basin and South-Western Australia are global hot spots for plant species diversity. To ensure management programs act to maintain these highly diverse plant communities, it is necessary to get a profound understanding of the crucial mechanisms of coexistence. In the current literature several mechanisms are discussed. The objective of my thesis is to systematically explore the importance of potential mechanisms for maintaining multi-species, fire prone vegetation by modelling. The model I developed is spatially-explicit, stochastic, rule- and individual-based. It is parameterised on data of population dynamics collected over 18 years in the Mediterranean-type shrublands of Eneabba, Western Australia. From 156 woody species of the area seven plant traits have been identified to be relevant for this study: regeneration mode, annual maximum seed production, seed size, maximum crown diameter, drought tolerance, dispersal mode and seed bank type. Trait sets are used for the definition of plant functional types (PFTs). The PFT dynamics are simulated annual by iterating life history processes. In the first part of my thesis I investigate the importance of trade-offs for the maintenance of high diversity in multi-species systems with 288 virtual PFTs. Simulation results show that the trade-off concept can be helpful to identify non-viable combinations of plant traits. However, the Shannon Diversity Index of modelled communities can be high despite of the presence of ‘supertypes’. I conclude, that trade-offs between two traits are less important to explain multi-species coexistence and high diversity than it is predicted by more conceptual models. Several studies show, that seed immigration from the regional seed pool is essential for maintaining local species diversity. However, systematical studies on the seed rain composition to multi-species communities are missing. The results of the simulation experiments, as presented in part two of this thesis, show clearly, that without seed immigration the local species community found in Eneabba drifts towards a state with few coexisting PFTs. With increasing immigration rates the number of simulated coexisting PFTs and Shannon diversity quickly approaches values as also observed in the field. Including the regional seed input in the model is suited to explain more aggregated measures of the local plant community structure such as species richness and diversity. Hence, the seed rain composition should be implemented in future studies. In the third part of my thesis I test the sensitivity of Eneabba PFTs to four different climate change scenarios, considering their impact on both local and regional processes. The results show that climate change clearly has the potential to alter the number of dispersed seeds for most of the Eneabba PFTs and therefore the source of the ‘immigrants’ at the community level. A classification tree analysis shows that, in general, the response to climate change was PFT-specific. In the Eneabba sand plains sensitivity of a PFT to climate change depends on its specific trait combination and on the scenario of environmental change i.e. development of the amount of rainfall and the fire frequency. This result emphasizes that PFT-specific responses and regional process seed immigration should not be ignored in studies dealing with the impact of climate change on future species distribution. The results of the three chapters are finally analysed in a general discussion. The model is discussed and improvements and suggestions are made for future research. My work leads to the following conclusions: i) It is necessary to support modelling with empirical work to explain coexistence in species-rich plant communities. ii) The chosen modelling approach allows considering the complexity of coexistence and improves the understanding of coexistence mechanisms. iii) Field research based assumptions in terms of environmental conditions and plant life histories can relativise the importance of more hypothetic coexistence theories in species-rich systems. In consequence, trade-offs can play a lower role than predicted by conceptual models. iv) Seed immigration is a key process for local coexistence. Its alteration because of climate change should be considered for prognosis of coexistence. Field studies should be carried out to get data on seed rain composition.
Aldehyde oxidases (AOXs) (E.C. 1.2.3.1) are molybdoflavo-enzymes belonging to the xanthine oxidase (XO) family. AOXs in mammals contain one molybdenum cofactor (Moco), one flavin adenine dinucleotide (FAD) and two [2Fe-2S] clusters, the presence of which is essential for the activity of the enzyme. Human aldehyde oxidase (hAOX1) is a cytosolic enzyme mainly expressed in the liver. hAOX1is involved in the metabolism of xenobiotics. It oxidizes aldehydes to their corresponding carboxylic acids and hydroxylates N-heterocyclic compounds. Since these functional groups are widely present in therapeutics, understanding the behaviour of hAOX1 has important implications in medicine. During the catalytic cycle of hAOX1, the substrate is oxidized at Moco and electrons are internally transferred to FAD via the FeS clusters. An electron acceptor juxtaposed to the FAD receives the electrons and re-oxidizes the enzyme for the next catalytic cycle. Molecular oxygen is the endogenous electron acceptor of hAOX1 and in doing so it is reduced and produces reactive oxygen species (ROS) including hydrogen peroxide (H2O2) and superoxide (O2.-). The production of ROS has patho-physiological importance, as ROS can have a wide range of effects on cell components including the enzyme itself.
In this thesis, we have shown that hAOX1 loses its activity over multiple cycles of catalysis due to endogenous ROS production and have identified a cysteine rich motif that protects hAOX1 from the ROS damaging effects. We have also shown that a sulfido ligand, which is bound at Moco and is essential for the catalytic activity of the enzyme, is vulnerable during turnover. The ROS produced during the course of the reaction are also able to remove this sulfido ligand from Moco. ROS, in addition, oxidize particular cysteine residues. The combined effects of ROS on the sulfido ligand and on specific cysteine residues in the enzyme result in its inactivation. Furthermore, we report that small reducing agents containing reactive sulfhydryl groups, in a selective manner, inactivate some of the mammalian AOXs by modifying the sulfido ligand at Moco. The mechanism of ROS production by hAOX1 is another scope that has been investigated as part of the work in this thesis. We have shown that the ratio of type of ROS, i.e. hydrogen peroxide (H2O2) and superoxide (O2.-), produced by hAOX1 is determined by a particular position on a flexible loop that locates in close proximity of FAD. The size of the cavity at the ROS producing site, i.e. the N5 position of the FAD isoalloxazine ring, kinetically affects the amount of each type of ROS generated by hAOX1. Taken together, hAOX1 is an enzyme with emerging importance in pharmacological and medical studies, not only due to its involvement in drug metabolism, but also due to ROS production which has physiological and pathological implications.
Analysis of phosphorylation dynamics under nitrogen limitation and nitrate or ammonium resupply
(2009)
Predation drives coexistence, evolution and population dynamics of species in food webs, and has strong impacts on related ecosystem functions (e.g. primary production). The effect of predation on these processes largely depends on the trade-offs between functional traits in the predator and prey community. Trade-offs between defence against predation and competitive ability, for example, allow for prey speciation and predator-mediated coexistence of prey species with different strategies (defended or competitive), which may stabilize the overall food web dynamics. While the importance of such trade-offs for coexistence is widely known, we lack an understanding and the empirical evidence of how the variety of differently shaped trade-offs at multiple trophic levels affect biodiversity, trait adaptation and biomass dynamics in food webs. Such mechanistic understanding is crucial for predictions and management decisions that aim to maintain biodiversity and the capability of communities to adapt to environmental change ensuring their persistence.
In this dissertation, after a general introduction to predator-prey interactions and tradeoffs, I first focus on trade-offs in the prey between qualitatively different types of defence (e.g. camouflage or escape behaviour) and their costs. I show that these different types lead to different patterns of predator-mediated coexistence and population dynamics, by using a simple predator-prey model. In a second step, I elaborate quantitative aspects of trade-offs and demonstrates that the shape of the trade-off curve in combination with trait-fitness relationships strongly affects competition among different prey types: Either specialized species with extreme trait combinations (undefended or completely defended) coexist, or a species with an intermediate defence level dominates. The developed theory on trade-off shapes and coexistence is kept general, allowing for applications apart from defence-competitiveness trade-offs. Thirdly, I tested the theory on trade-off shapes on a long-term field data set of phytoplankton from Lake Constance. The measured concave trade-off between defence and growth governs seasonal trait changes of phytoplankton in response to an altering grazing pressure by zooplankton, and affects the maintenance of trait variation in the community. In a fourth step, I analyse the interplay of different tradeoffs at multiple trophic levels with plankton data of Lake Constance and a corresponding tritrophic food web model. The results show that the trait and biomass dynamics of the different three trophic levels are interrelated in a trophic biomass-trait cascade, leading to unintuitive patterns of trait changes that are reversed in comparison to predictions from bitrophic systems. Finally, in the general discussion, I extract main ideas on trade-offs in multitrophic systems, develop a graphical theory on trade-off-based coexistence, discuss the interplay of intra- and interspecific trade-offs, and end with a management-oriented view on the results of the dissertation, describing how food webs may respond to future global changes, given their trade-offs.
In the light of climate change, rising demands for agricultural products and the intensification and specialization of agricultural systems, ensuring an adequate and reliable supply of food is fundamental for food security. Maintaining diversity and redundancy has been postulated as one generic principle to increase the resilience of agricultural production and other ecosystem services. For example, if one crop fails due to climate instability and extreme events, others can compensate the losses. Crop diversity might be particularly important if different crops show asynchronous production trends. Furthermore, spatial heterogeneity has been suggested to increase stability at larger scales as production losses in some areas can be buffered by surpluses in undisturbed ones. Besides systematically investigating the mechanisms underlying stability, identifying transformative pathways that foster them is important.
In my thesis, I aim at answering the following questions: (i) How does yield stability differ between nations, regions and farms, and what is the effect of crop diversity on yield stability in relation to agricultural inputs, climate heterogeneity, climate instability and time at the national, regional or farm level? (ii) Is asynchrony between crops a better predictor of production stability than crop diversity? (iii) What is the effect of asynchrony between and within crops on stability and how is it related to crop diversity and space, respectively? (iv) What is the state of the art and what are knowledge gaps in exploring resilience and its multidimensionality in ecological and social-ecological systems with agent-based models and what are potential ways forward?
In the first chapter, I provide the theoretical background for the subsequent analyses. I stress the need to better understand the resilience of social-ecological systems and particularly the stability of agricultural production. Moreover, I introduce diversity and spatial heterogeneity as two prominently discussed resilience mechanisms and describe approaches to assess resilience.
In the second chapter, I combined agriculture and climate data at three levels of organization and spatial extents to investigate yield stability patterns and their relation to crop diversity, fertilizer, irrigation, climate heterogeneity and instability and time of nations globally, regions in Europe and farms in Germany using statistical analyses. Yield stability decreased from the national to the farm level. Several nations and regions substantially contributed to larger-scale stability. Crop diversity was positively associated with yield stability across all three levels of organization. This effect was typically more profound at smaller scales and in variable climates. In addition to crop diversity, climate heterogeneity was an important stabilizing mechanism especially at larger scales. These results confirm the stabilizing effect of crop diversity and spatial heterogeneity, yet their importance depends on the scale and agricultural management.
Building on the findings of the second chapter, I deepened in the third chapter my research on the effect of crop diversity at the national level. In particular, I tested if asynchrony between crops, i.e. between the temporal production patterns of different crops, better predicts agricultural production stability than crop diversity. The stabilizing effect of asynchrony was multiple times higher than the effect of crop diversity, i.e. asynchrony is one important property that can explain why a higher diversity supports the stability of national food production. Therefore, strategies to stabilize agricultural production through crop diversification also need to account for the asynchrony of the crops considered.
The previous chapters suggest that both asynchrony between crops and spatial heterogeneity are important stabilizing mechanisms. In the fourth chapter, I therefore aimed at better understanding the relative importance of asynchrony between and within crops, i.e. between the temporal production patterns of different crops and between the temporal production patterns of different cultivation areas of the same crop. Better understanding their relative importance is important to inform agricultural management decisions, but so far this has been hardly assessed. To address this, I used crop production data to study the effect of asynchrony between and within crops on the stability of agricultural production in regions in Germany and nations in Europe. Both asynchrony between and within crops consistently stabilized agricultural production. Adding crops increased asynchrony between crops, yet this effect levelled off after eight crops in regions in Germany and after four crops in nations in Europe. Combining already ten farms within a region led to high asynchrony within crops, indicating distinct production patters, while this effect was weaker when combining multiple regions within a nation. The results suggest, that both mechanisms need to be considered in agricultural management strategies that strive for more resilient farming systems.
The analyses in the foregoing chapters focused at different levels of organization, scales and factors potentially influencing agricultural stability. However, these statistical analyses are restricted by data availability and investigate correlative relationships, thus they cannot provide a mechanistic understanding of the actual processes underlying resilience. In this regard, agent-based models (ABM) are a promising tool. Besides their ability to measure different properties and to integrate multiple situations through extensive manipulation in a fully controlled system, they can capture the emergence of system resilience from individual interactions and feedbacks across different levels of organization. In the fifth chapter, I therefore reviewed the state of the art and potential knowledge gaps in exploring resilience and its multidimensionality in ecological and social-ecological systems with ABMs. Next, I derived recommendations for a more effective use of ABMs in resilience research. The review suggests that the potential of ABMs is not utilized in most models as they typically focus on a single dimension of resilience and are mostly limited to one reference state, disturbance type and scale. Moreover, only few studies explicitly test the ability of different mechanisms to support resilience. To solve real-world problems related to the resilience of complex systems, ABMs need to assess multiple stability properties for different situations and under consideration of the mechanisms that are hypothesized to render a system resilient.
In the sixth chapter, I discuss the major conclusions that can be drawn from the previous chapters. Moreover, I showcase the use of simulation models to identify management strategies to enhance asynchrony and thus stability, and the potential of ABMs to identify pathways to implement such strategies.
The results of my thesis confirm the stabilizing effect of crop diversity, yet its importance depends on the scale, agricultural management and climate. Moreover, strategies to stabilize agricultural production through crop diversification also need to account for the asynchrony of the crops considered. As spatial heterogeneity and particularly asynchrony within crops strongly enhances stability, integrated management approaches are needed that simultaneously address multiple resilience mechanisms at different levels of organization, scales and time horizons. For example, the simulation suggests that only increasing the number of crops at both the pixel and landscape level avoids trade-offs between asynchrony between and within crops. If their potential is better exploited, agent-based models have the capacity to systematically assess resilience and to identify comprehensive pathways towards resilient farming systems.
The increasing introduction of non-native plant species may pose a threat to local biodiversity. However, the basis of successful plant invasion is not conclusively understood, especially since these plant species can adapt to the new range within a short period of time despite impoverished genetic diversity of the starting populations. In this context, DNA methylation is considered promising to explain successful adaptation mechanisms in the new habitat. DNA methylation is a heritable variation in gene expression without changing the underlying genetic information. Thus, DNA methylation is considered a so-called epigenetic mechanism, but has been studied in mainly clonally reproducing plant species or genetic model plants. An understanding of this epigenetic mechanism in the context of non-native, predominantly sexually reproducing plant species might help to expand knowledge in biodiversity research on the interaction between plants and their habitats and, based on this, may enable more precise measures in conservation biology.
For my studies, I combined chemical DNA demethylation of field-collected seed material from predominantly sexually reproducing species and rearing offsping under common climatic conditions to examine DNA methylation in an ecological-evolutionary context. The contrast of chemically treated (demethylated) plants, whose variation in DNA methylation was artificially reduced, and untreated control plants of the same species allowed me to study the impact of this mechanism on adaptive trait differentiation and local adaptation. With this experimental background, I conducted three studies examining the effect of DNA methylation in non-native species along a climatic gradient and also between climatically divergent regions.
The first study focused on adaptive trait differentiation in two invasive perennial goldenrod species, Solidago canadensis sensu latu and S. gigantea AITON, along a climate gradient of more than 1000 km in length in Central Europe. I found population differences in flowering timing, plant height, and biomass in the temporally longer-established S. canadensis, but only in the number of regrowing shoots for S. gigantea. While S. canadensis did not show any population structure, I was able to identify three genetic groups along this climatic gradient in S. gigantea. Surprisingly, demethylated plants of both species showed no change in the majority of traits studied. In the subsequent second study, I focused on the longer-established goldenrod species S. canadensis and used molecular analyses to infer spatial epigenetic and genetic population differences in the same specimens from the previous study. I found weak genetic but no epigenetic spatial variation between populations. Additionally, I was able to identify one genetic marker and one epigenetic marker putatively susceptible to selection. However, the results of this study reconfirmed that the epigenetic mechanism of DNA methylation appears to be hardly involved in adaptive processes within the new range in S. canadensis.
Finally, I conducted a third study in which I reciprocally transplanted short-lived plant species between two climatically divergent regions in Germany to investigate local adaptation at the plant family level. For this purpose, I used four plant families (Amaranthaceae, Asteraceae, Plantaginaceae, Solanaceae) and here I additionally compared between non-native and native plant species. Seeds were transplanted to regions with a distance of more than 600 kilometers and had either a temperate-oceanic or a temperate-continental climate. In this study, some species were found to be maladapted to their own local conditions, both in non-native and native plant species alike. In demethylated individuals of the plant species studied, DNA methylation had inconsistent but species-specific effects on survival and biomass production. The results of this study highlight that DNA methylation did not make a substantial contribution to local adaptation in the non-native as well as native species studied.
In summary, my work showed that DNA methylation plays a negligible role in both adaptive trait variation along climatic gradients and local adaptation in non-native plant species that either exhibit a high degree of genetic variation or rely mainly on sexual reproduction with low clonal propagation. I was able to show that the adaptive success of these non-native plant species can hardly be explained by DNA methylation, but could be a possible consequence of multiple introductions, dispersal corridors and meta-population dynamics. Similarly, my results illustrate that the use of plant species that do not predominantly reproduce clonally and are not model plants is essential to characterize the effect size of epigenetic mechanisms in an ecological-evolutionary context.
The study of biological interaction networks is a central theme in systems biology. Here, we investigate common as well as differentiating principles of molecular interaction networks associated with different levels of molecular organization. They include metabolic pathway maps, protein-protein interaction networks as well as kinase interaction networks. First, we present an integrated analysis of metabolic pathway maps and protein-protein interaction networks (PIN). It has long been established that successive enzymatic steps are often catalyzed by physically interacting proteins forming permanent or transient multi-enzyme complexes. Inspecting high-throughput PIN data, it has been shown recently that, indeed, enzymes involved in successive reactions are generally more likely to interact than other protein pairs. In this study, we expanded this line of research to include comparisons of the respective underlying network topologies as well as to investigate whether the spatial organization of enzyme interactions correlates with metabolic efficiency. Analyzing yeast data, we detected long-range correlations between shortest paths between proteins in both network types suggesting a mutual correspondence of both network architectures. We discovered that the organizing principles of physical interactions between metabolic enzymes differ from the general PIN of all proteins. While physical interactions between proteins are generally dissortative, enzyme interactions were observed to be assortative. Thus, enzymes frequently interact with other enzymes of similar rather than different degree. Enzymes carrying high flux loads are more likely to physically interact than enzymes with lower metabolic throughput. In particular, enzymes associated with catabolic pathways as well as enzymes involved in the biosynthesis of complex molecules were found to exhibit high degrees of physical clustering. Single proteins were identified that connect major components of the cellular metabolism and hence might be essential for the structural integrity of several biosynthetic systems. Besides metabolic aspects of PINs, we investigated the characteristic topological properties of protein interactions involved in signaling and regulatory functions mediated by kinase interactions. Characteristic topological differences between PINs associated with metabolism, and those describing phosphorylation networks were revealed and shown to reflect the different modes of biological operation of both network types. The construction of phosphorylation networks is based on the identification of specific kinase-target relations including the determination of the actual phosphorylation sites (P-sites). The computational prediction of P-sites as well as the identification of involved kinases still suffers from insufficient accuracies and specificities of the underlying prediction algorithms, and the experimental identification in a genome-scale manner is not (yet) doable. Computational prediction methods have focused primarily on extracting predictive features from the local, one-dimensional sequence information surrounding P-sites. However the recognition of such motifs by the respective kinases is a spatial event. Therefore, we characterized the spatial distributions of amino acid residue types around P-sites and extracted signature 3D-profiles. We then tested the added value of spatial information on the prediction performance. When compared to sequence-only based predictors, a consistent performance gain was obtained. The availability of reliable training data of experimentally determined P-sites is critical for the development of computational prediction methods. As part of this thesis, we provide an assessment of false-positive rates of phosphoproteomic data.
The nutrient exchange between plant and fungus is the key element of the arbuscular mycorrhizal (AM) symbiosis. The fungus improves the plant’s uptake of mineral nutrients, mainly phosphate, and water, while the plant provides the fungus with photosynthetically assimilated carbohydrates. Still, the knowledge about the mechanisms of the nutrient exchange between the symbiotic partners is very limited. Therefore, transport processes of both, the plant and the fungal partner, are investigated in this study. In order to enhance the understanding of the molecular basis underlying this tight interaction between the roots of Medicago truncatula and the AM fungus Rhizophagus irregularis, genes involved in transport processes of both symbiotic partners are analysed here. The AM-specific regulation and cell-specific expression of potential transporter genes of M. truncatula that were found to be specifically regulated in arbuscule-containing cells and in non-arbusculated cells of mycorrhizal roots was confirmed. A model for the carbon allocation in mycorrhizal roots is suggested, in which carbohydrates are mobilized in non-arbusculated cells and symplastically provided to the arbuscule-containing cells. New insights into the mechanisms of the carbohydrate allocation were gained by the analysis of hexose/H+ symporter MtHxt1 which is regulated in distinct cells of mycorrhizal roots. Metabolite profiling of leaves and roots of a knock-out mutant, hxt1, showed that it indeed does have an impact on the carbohydrate balance in the course of the symbiosis throughout the whole plant, and on the interaction with the fungal partner. The primary metabolite profile of M. truncatula was shown to be altered significantly in response to mycorrhizal colonization. Additionally, molecular mechanisms determining the progress of the interaction in the fungal partner of the AM symbiosis were investigated. The R. irregularis transcriptome in planta and in extraradical tissues gave new insight into genes that are differentially expressed in these two fungal tissues. Over 3200 fungal transcripts with a significantly altered expression level in laser capture microdissection-collected arbuscules compared to extraradical tissues were identified. Among them, six previously unknown specifically regulated potential transporter genes were found. These are likely to play a role in the nutrient exchange between plant and fungus. While the substrates of three potential MFS transporters are as yet unknown, two potential sugar transporters are might play a role in the carbohydrate flow towards the fungal partner. In summary, this study provides new insights into transport processes between plant and fungus in the course of the AM symbiosis, analysing M. truncatula on the transcript and metabolite level, and provides a dataset of the R. irregularis transcriptome in planta, providing a high amount of new information for future works.
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.
Übergewicht und Adipositas führen zu Insulinresistenz und erhöhen deutlich das Risiko für die Entwicklung von Typ-2-Diabetes und kardiovaskulären Erkrankungen. Sowohl Adipositas als auch die Suszeptibilität gegenüber Diabetes sind zu einem erheblichen Teil genetisch determiniert. Die relevanten Risikogene, deren Interaktion mit der Umwelt, insbesondere mit Bestandteilen der Nahrung, und die Pathomechanismen, die zur Insulinresistenz und Diabetes führen, sind nicht vollständig aufgeklärt. In der vorliegenden Arbeit sollte durch Genexpressionsanalysen des weißen Fettgewebes (WAT) und der Langerhansschen Inseln die Entstehung und Progression von Adipositas und Typ-2-Diabetes untersucht werden, um relevante Pathomechanismen und neue Kandidatengene zu identifizieren. Zu diesem Zweck wurden Diät-Interventionsstudien mit NZO- und verwandten NZL-Mäusen, zwei polygenen Mausmodellen für das humane metabolische Syndrom, durchgeführt. Eine kohlenhydrathaltige Hochfett-Diät (HF: 14,6 % Fettanteil) führte in beiden Mausmodellen zu früher Adipositas, Insulinresistenz und Typ 2 Diabetes. Eine fettreduzierte Standarddiät (SD: 3,3 % Fettanteil), welche die Entstehung von Adipositas und Diabetes stark verzögert, sowie eine diabetesprotektive kohlenhydratfreie Hochfett-Diät (CHF: 30,2 % Fettanteil) dienten als Kontrolldiäten. Mit Hilfe der Microarray-Technologie wurden genomweite Expressionsprofile des WAT erstellt. Pankreatische Inseln wurden durch laserbasierte Mikropräparation (Laser Capture Microdissection; LCM) isoliert und ebenfalls hinsichtlich ihres Expressionsprofils analysiert. Differenziell exprimierte Gene wurden durch Real-Time-PCR validiert. Im WAT der NZO-Maus bewirkte die HF-Diät eine reduzierte Expression nukleärer Gene der oxidativen Phosphorylierung und von lipogenen Enzymen. Dies deutet auf eine inadäquate Fettspeicherung und -verwertung in diesen Tieren hin. Die Reduktion in der Fettspeicherung und -oxidation ist spezifisch für das adipöse NZO-Modell und konnte bei der schlanken SJL Maus nicht beobachtet werden, was auf eine mögliche Beteiligung an der Entstehung der Insulinresistenz hinweist. Zusätzlich wurde bestätigt, dass die Expansion des Fettgewebes bei der adipösen NZO-Maus eine zeitlich verzögerte Infiltration von Makrophagen in das WAT und dort eine lokale Immunantwort auslöst. Darüber hinaus wurde die Methode der LCM etabliert und zur Gewinnung hochangereicherter RNA aus den Langerhansschen Inseln eingesetzt. In erstmalig durchgeführten genomweiten Expressionsanalysen wurde zu einem frühen Zeitpunkt in der Diabetesentwicklung der Einfluss einer diabetogenen HF-Diät und einer diabetesprotektiven CHF-Diät auf das Expressionsprofil von pankreatischen Inselzellen verglichen. Im Gegensatz zum WAT bewirkt die diabetogene HF-Diät in Inselzellen einerseits, eine erhöhte Expression von nukleären Genen für die oxidative Phosphorylierung und andererseits von Genen, die mit Zellproliferation assoziiert sind. Zudem wurden 37 bereits annotierte Gene identifiziert, deren differenzielle Expression mit der Diabetesentwicklung korreliert. Das Peptidhormon Cholecystokinin (Cck, 11,8-fach erhöht durch die HF) stellt eines der am stärksten herauf regulierten Gene dar. Die hohe Anreicherung der Cck-mRNA in Inselzellen deutet auf eine bisher unbekannte Funktion des Hormons in der Regulation der Inselzellproliferation hin. Der Transkriptionsfaktor Mlxipl (ChREBP; 3,8-fach erniedrigt durch die HF) stellt in Langerhansschen Inseln eines der am stärksten herunter regulierten Gene dar. Ferner wurde ChREBP, dessen Funktion als glucoseregulierter Transkriptionsfaktor für lipogene Enzyme bislang in der Leber, aber nicht in Inselzellen nachgewiesen werden konnte, erstmals immunhistochemisch in Inselzellen detektiert. Dies deutet auf eine neue, bisher unbekannte regulatorische Funktion von ChREBP im Glucosesensor-Mechanismus der Inselzellen hin. Eine durchgeführte Korrelation der mit der Diabetesentwicklung assoziierten, differenziell exprimierten Inselzellgene mit Genvarianten aus humanen genomweiten Assoziationsstudien für Typ-2-Diabetes (WTCCC, Broad-DGI-T2D-Studie) ermöglichte die Identifizierung von 24 neuartigen Diabetes-Kandidatengenen. Die Ergebnisse der erstmals am polygenen NZO-Mausmodell durchgeführten genomweiten Expressionsuntersuchungen bestätigen bisherige Befunde aus Mausmodellen für Adipositas und Diabetes (z.B. ob/ob- und db/db-Mäuse), zeigen in einigen Fällen aber auch Unterschiede auf. Insbesondere in der oxidativen Phosphorylierung könnten die Ergebnisse relevant sein für das Verständnis der Pathogenese des polygen-bedingten humanen metabolischen Syndroms.
Im Rahmen der Untersuchung zur Entwicklung der pelagischen Gemeinschaft des ehemals sauren Tagebauseenkomplexes Goitsche (pH~3) während dessen Flutung und Neutralisierung wurden Wechselwirkungen zwischen der Zusammensetzung von Organismengemeinschaften und der Variabilität des abiotischen Umfeldes untersucht.Im Mittelpunkt standen zwei von ihrer Kausalität her unterschiedliche Aspekte: • Der erste Aspekt betraf die Reifung von Ökosystemen: War der Reifungsprozess von pelagischen Gemeinschaften anhand der von Odum (1969) formulierten Kriterien zur Energetik der Gemeinschaft, zu den Nährstoffkreisläufen sowie zu strukturellen Merkmalen auf Ökosystem- und Individuenebene zu erfassen? Führten der physiologische Stress durch den niedrigen pH und physikalische Störungen der Schichtung durch das einströmende Flutungswasser zu einer Umkehr des Reifungsprozesses? Auf welchen Organisationsebenen der Lebensgemeinschaften waren die Auswirkungen dieser Stressoren erkennbar? • Der zweite Aspekt behandelte die Entwicklung der Artenzahl, die Gleichverteilung der Dominanz von Arten (Eveness) und die Diversität von Planktongemeinschaften entlang des Produktivitätsgradienten. Speziell wurde untersucht, ob die Artenzahl und die Diversität eine monoton positive oder eine unimodale Funktion der Produktivität waren und ob die Eveness eine monoton abnehmende Funktion der Produktivität war. Zur besseren Vorhersagbarkeit der Entwicklung dieser Indizes wurden in einem nächsten Schritt zusätzliche biotische und abiotische Faktoren (z.B. Konsumenteneffekte, physikalische Störung, Immigration) berücksichtigt. Zuletzt wurde die Hypothese getestet, dass unter dem Einfluss von extremem physiologischem Stress keine Abhängigkeit zwischen den betrachteten Indizes und der Produktivität von Ökosystemen besteht. Die Untersuchungen der vorliegenden Arbeit führten zu folgenden Ergebnissen und Schlussfolgerungen: 1) Der Reifungsprozess der Planktongemeinschaft war unter neutralen Bedingungen nicht eindeutig an einzelnen Kriterien festzumachen. Vielmehr schienen idiosynkratische Effekte einzelner Arten auf die Zusammensetzung und Funktion der Organismengemeinschaft von Bedeutung. Coenobiumbildende Kieselalgen sowie größere Cladoceren und Copepoden dominierten sehr rasch die Planktongemeinschaft und vermittelten den Eindruck eines reifen Ökosystems fast unmittelbar nach der Neutralisierung des Tagebausees. 2) Der Einfluss von physiologischem Säurestress und physikalischer Störung der Schichtung durch das eintretende Flutungswasser war gegenüber einem neutralen, ungestörten Teilbecken des Tagebausees (Referenzzustand) eindeutig zu erkennen. Die isolierte Betrachtung der Wirkung der Stressoren lieferte hinsichtlich fast aller Kriterien Anzeichen einer Verjüngung des Systems sensu Odum (1969, 1985). 3) Im betrachteten Ökosystem existierte eine Hierarchie innerhalb der Stressoren. Der Einfluss des Säurestresses dominierte gegenüber dem Einfluss der physikalischen Störung, wahrscheinlich indem er die Reaktionsmöglichkeiten der Planktongemeinschaft einschränkte. 4) Für Primärproduzenten war die Artenzahl eine monoton positive Funktion der realisierten Biomasse (einem Surrogatparameter für die Produktivität des Systems). Die Eveness war eine monoton negative Funktion der Produktivität. Die beobachtete unimodale Beziehung zwischen der Diversität und der Produktivität der Primärproduzenten muss als eine Folge der mathematischen Formulierung dieser Indizes betrachtet werden. 5) Die Ergebnisse multivariater Modelle zur Vorhersage der Artenzahl und der Eveness der Primärproduzenten in Abhängigkeit zusätzlicher erfassbarer biotischer und abiotischer Faktoren ermöglichten eine differenziertere Betrachtung der Ergebnisse: • Im Tagebausee Goitsche war die Eveness hauptsächlich von dichteabhängigen Prozessen gesteuert (negative Abhängigkeit zum Quadrat der Biomassen und zu den Lichtverhältnissen). • Die Entwicklung der Artenzahl war neben dem primären Einfluss der zunehmenden Biomasse auch durch qualitative und quantitative Aspekte der Konsumentengemeinschaft (Diversität und Biomasse des Zooplanktons) beeinflusst. Der Einfluss einer erhöhten Immigration auf die Artenzahl wurde nur zu Beginn der Flutung des Tagebausees beobachtet. 6) Auf Ebene der Konsumenten war die einzige eindeutig feststellbare Abhängigkeit ein Anstieg der Artenzahl mit steigender Biomasse. Das Fehlen von weiteren Beziehungen zwischen Diversitätsindizes und dem Produktivitätsgradienten wird darauf zurückgeführt, dass auf den unteren trophischen Ebenen der Primärproduzenten Ressourceneffekte (Bottom-Up) stärker ausgeprägt sind, wohingegen auf höheren trophischen Ebenen Konsumenteneffekte (Top-Down) dominieren. 7) In durch physiologischen Stress beeinflussten Systemen bestand keine Abhängigkeit zwischen den Diversitätsindizes (Artenzahl, Eveness und Diversität) und der Produktivität.
Auf dem Weg der genetischen Information stellt die Translation der RNA in eine Aminosäuresequenz den letzten Schritt dar. In Chloroplasten, den grünen Organellen der Pflanzenzellen, findet ein Großteil der Regulation der Genexpression auf Ebene der Initiation dieses Schrittes statt. Eine Vielzahl von Eigenschaften der RNA und von Faktoren, die an die RNA binden, entfalten einen Einfluss auf diesen Schritt. Bisher unvollständig aufgeklärt ist die Rolle einer konservierten Nukleotidsequenz in der untranslatierten Region der RNA -- der Shine-Dalgarno-Sequenz. Diese stellt in Bakterien, wie z.B. E. coli als Ribosomenbindestelle sicher, dass Ribosomen den Anfang der zu translatierenden Sequenz zuverlässig erkennen. Im Rahmen dieser Arbeit wurden diverse DNA-Konstrukte in Plastiden von Tabak eingebracht. Hierzu zählten Konstrukte, die sowohl eine erhöhte Anzahl von Ribosomenbindestellen enthielten als auch vermehrte Startpunkte der Translation. Zusätzlich wurden Konstrukte hergestellt, die die Situation von mehreren zu translatierenden Regionen in der RNA nachstellten. Es konnte festgestellt werden, dass plastidäre Ribosomen die strangaufwärts gelegenen Translationsstartpunkte bevorzugen -- im Gegensatz zu E. coli, wo alle Startpunkte gleichmäßig genutzt wurden. Hierdurch zeigten die prokaryotischen Ribosomen aus Chloroplasten, die sich aus bakteriellen Systemen ableiten, Eigenschaften von eukaryotischen Ribosomen. Ein zweites Teilprojekt dieser Arbeit beschäftigte sich mit der Inkompatibilität von Chloroplasten mit dem Kerngenom. In Kreuzungen von Arten der Gattung Pelargonium fielen Kombinationen auf, bei denen die Tochterpflanzen bleiche Blattbereiche bis hin zu vollständig weißen Pflanzen zeigten. Dieses Phänomen wird als Bastardbleichheit bezeichnet. In der Gattung Pelargonium werden Chloroplasten von beiden Elternteilen an die Tochterpflanzen vererbt. Da das Phänomen der Bastardbleichheit nur in einem der Plastiden vorkommt, nicht jedoch im anderen in der gleichen Pflanze, muss von einem Effekt ausgegangen werden, der von Plastiden ausgeht. Die Interaktionen zwischen Zellkern und Chloroplasten sind offensichtlich stark gestört. Zur detaillierten Untersuchung dieses Effekts wurde die Nukleotidsequenz von drei Chloroplastengenomen aufgeklärt. Es konnte eine Reihe von Sequenzunterschieden der Genome ermittelt werden. Aus diesen wurde eine Reihe von Unterschieden beobachtet, die einen solchen Effekt zur Folge haben können. Aus diesen Unterschieden wurde eine Reihe von potentiellen Kandidatengenen zusammengestellt, die in weiteren Arbeiten auf ihre Rolle in der Entstehung der Bastardbleichheit untersucht werden.
Microplastics in the environments are estimated to increase in the near future due to increasing consumption of plastic product and also due to further fragmentation in small pieces. The fate and effects of MP once released into the freshwater environment are still scarcely studied, compared to the marine environment. In order to understand possible effect and interaction of MPs in freshwater environment, planktonic zooplankton organisms are very useful for their crucial trophic role. In particular freshwater rotifers are one of the most abundant organisms and they are the interface between primary producers and secondary consumers. The aim of my thesis was to investigate the ingestion and the effect of MPs in rotifers from a more natural scenario and to individuate processes such as the aggregation of MPs, the food dilution effect and the increasing concentrations of MPs that could influence the final outcome of MPs in the environment. In fact, in a near natural scenario MPs interaction with bacteria and algae, aggregations together with the size and concentration are considered drivers of ingestion and effect. The aggregation of MPs makes smaller MPs more available for rotifers and larger MPs less ingested. The negative effect caused by the ingestion of MPs was modulated by their size but also by the quantity and the quality of food that cause variable responses. In fact, rotifers in the environment are subjected to food limitation and the presence of MPs could exacerbate this condition and decrease the population and the reproduction input. Finally, in a scenario incorporating an entire zooplanktonic community, MPs were ingested by most individuals taking into account their feeding mode but also the concentration of MPs, which was found to be essential for the availability of MPs. This study highlights the importance to investigate MPs from a more environmental perspective, this in fact could provide an alternative and realistic view of effect of MPs in the ecosystem.
The multidrug and toxic compounds extrusion (MATE) family includes hundreds of functionally uncharacterised proteins from bacteria and all eukaryotic kingdoms except the animal kingdom, that function as drug/toxin::Na<sup>+ or H<sup>+ antiporters. In Arabidopsis thaliana the MATE family comprises 56 members, one of which is NIC2 (Novel Ion Carrier 2). Using heterologous expression systems including Escherichia coli and Saccharomyces cerevisiae, and the homologous expression system of Arabidopsis thaliana, the functional characterisation of NIC2 was performed. It has been demonstrated that NIC2 confers resistance of E. coli towards the chemically diverse compounds such as tetraethylammonium chloride (TEACl), tetramethylammonium chloride (TMACl) and a toxic analogue of indole-3-acetic acid, 5-fluoro-indole-acetic acid (F-IAA). Therefore, NIC2 may be able to transport a broad range of drug and toxic compounds. In wild-type yeast the expression of NIC2 increased the tolerance towards lithium and sodium, but not towards potassium and calcium. In A. thaliana, the overexpression of NIC2 led to strong phenotypic changes. Under normal growth condtions overexpression caused an extremely bushy phenotype with no apical dominance but an enhanced number of lateral flowering shoots. The amount of rossette leaves and flowers with accompanying siliques were also much higher than in wild-type plants and the senescence occurred earlier in the transgenic plants. In contrast, RNA interference (RNAi) used to silence NIC2 expression, induced early flower stalk development and flowering compared with wild-type plants. In additon, the main flower stalks were not able to grow vertically, but instead had a strong tendency to bend towards the ground. While NIC2 RNAi seedlings produced many lateral roots outgrowing from the primary root and the root-shoot junction, NIC2 overexpression seedlings displayed longer primary roots that were characterised by a 2 to 4 h delay in the gravitropic response. In addition, these lines exhibited an enhanced resistance to exogenously applied auxins, i.e. indole-3-acetic acid (IAA) and indole-3-butyric acid (IBA) when compared with the wild-type roots. Based on these results, it is suggested that the NIC2 overexpression and NIC2 RNAi phenotypes were due to decreased or increased levels of auxin, respectively. The ProNIC2:GUS fusion gene revealed that NIC2 is expressed in the stele of the elongation zone, in the lateral root cap, in new lateral root primordia, and in pericycle cells of the root system. In the vascular tissue of rosette leaves and inflorescence stems, the expression was observed in the xylem parenchyma cells, while in siliques it was also in vascular tissue, but as well in the dehiscence and abscission zones. The organ- and tissue-specific expression sites of NIC2 correlate with the sites of auxin action in mature Arabidopsis plants. Further experiments using ProNIC2:GUS indicated that NIC2 is an auxin-inducible gene. Additionally, during the gravitropic response when an endogenous auxin gradient across the root tip forms, the GUS activity pattern of the ProNIC2:GUS fusion gene markedly changed at the upper side of the root tip, while at the lower side stayed unchanged. Finally, at the subcellular level NIC2-GFP fusion protein localised in the peroxisomes of Nicotana tabacum BY2 protoplasts. Considering the experimental results, it is proposed that the hypothetical function of NIC2 is the efflux transport which takes part in the auxin homeostasis in plant tissues probably by removing auxin conjugates from the cytoplasm into peroxisomes.
Die Enzyme der Sulfotransferase-Gensuperfamilie (SULT) konjugieren nukleophile Gruppen von kleinen endogenen Verbindungen und Fremdstoffen mit der negativ geladenen Sulfo-Gruppe. Dadurch wird die Polarität dieser Verbindungen erhöht, ihre passive Permeation von Zellmembranen verhindert und somit ihre Ausscheidung erleichtert. Jedoch stellt die Sulfo-Gruppe in bestimmten chemischen Verbindungen eine gute Abgangsgruppen dar. Aus der Spaltung resultierende Carbenium- oder Nitreniumionen können mit DNA oder anderen zellulären Nukleophilen reagieren. In Testsystemen für Mutagenität wurden zahlreiche Verbindungen, darunter Nahrungsinhaltsstoffe und Umweltkontaminanten, durch SULT zu Mutagenen aktiviert. Dabei zeigten sich zum einen eine ausgeprägte Substratspezifität selbst orthologer SULT-Formen unterschiedlicher Spezies und zum anderen Interspezies-Unterschiede in der SULT-Gewebeverteilung. Daher könnten sich die Zielgewebe einer SULT-induzierten Krebsentstehung bei Mensch und Nager unterscheiden. Um die Beteiligung von humanen SULT an der Bioaktivierung von Fremdstoffen im Tiermodell untersuchen zu können, wurden transgene Mauslinien für den Cluster der humanen SULT1A1- und -1A2-Gene sowie für die humane SULT1B1 generiert. Zur Herstellung der transgenen Linien wurden große genomische Konstrukte verwendet, die die SULT-Gene sowie – zum Erreichen einer der Humansituation entsprechenden Gewebeverteilung der Proteinexpression – deren potentielle regulatorische Sequenzen enthielten. Es wurden je drei transgene Linien für hSULT1A1/hSULT1A2 und drei transgene Linien für hSULT1B1 etabliert. Die Expression der humanen Proteine konnte in allen Linien gezeigt werden und fünf der sechs Linien konnten zur Homozygotie bezüglich der Transgene gezüchtet werden. In der molekularbiologischen Charakterisierung der transgenen Linien wurde der chromosomale Integrationsort der Konstrukte bestimmt und die Kopienzahl pro Genom untersucht. Mit Ausnahme einer hSULT1A1/hSULT1A2-transgenen Linie, bei der Kopien des Konstrukts in zwei unterschiedliche Chromosomen integriert vorliegen, wiesen alle Linien nur einen Transgen-Integrationsort auf. Die Untersuchung der Transgen-Kopienzahl ergab, dass die Mauslinien zwischen einer und etwa 20 Kopien des Transgen-Konstrukts pro Genom trugen. In der proteinbiochemischen Charakterisierung wurde gezeigt, dass die transgenen Linien die humanen Proteine mit einer weitgehend der des Menschen entsprechenden Gewebeverteilung exprimieren. Die Intensität der im Immunblot nachgewiesenen Expression korrelierte mit der Kopienzahl der Transgene. Die zelluläre und subzelluläre Verteilung der Transgen-Expression wurden bei einer der hSULT1A1/hSULT1A2-transgenen Linien in Leber, Niere, Lunge, Pankreas, Dünndarm und Kolon und bei einer der hSULT1B1-transgenen Linien im Kolon untersucht. Sie stimmte ebenfalls mit der Verteilung der entsprechenden SULT-Formen im Menschen überein. Da sich die erzeugten transgenen Linien aufgrund ihrer mit dem Menschen vergleichbaren Gewebeverteilung der SULT-Expression als Modellsystem zur Untersuchung der menschlichen SULT-vermittelten metabolischen Aktivierung eigneten, wurde eine der hSULT1A1/hSULT1A2-transgenen Linien für zwei erste toxikologische Untersuchungen eingesetzt. Den Mäusen wurden chemische Verbindungen verabreicht, für die in in-vitro-Versuchen eine hSULT1A1/hSULT1A2-vermittelte Bioaktivierung zu Mutagenen gezeigt worden war. In beiden Untersuchungen wurde die Gewebeverteilung der entstandenen DNA-Addukte als Endpunkt einer gewebespezifischen genotoxischen Wirkung ermittelt. In der ersten Untersuchung wurden 90 mg/kg Körpergewicht 2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridin – ein in gebratenem Fleisch gebildetes heterozyklisches aromatisches Amin – transgenen sowie Wildtyp-Mäusen oral verabreicht. Acht Stunden nach Applikation wiesen die transgenen Mäuse signifikant höhere Adduktniveaus als die Wildtyp-Mäuse in Leber, Lunge, Niere, Milz und Kolon auf. In der Leber der transgen Mäuse war das Adduktniveau 17fach höher als in der Leber der Wildtyp-Mäuse. Die Leber war bei den transgenen Tieren das Organ mit dem höchsten, bei den Wildtyp-Tieren hingegen mit dem niedrigsten DNA-Adduktniveau. In der zweiten Untersuchung (Pilotstudie mit geringer Tierzahl) wurde transgenen und Wildtyp-Mäusen 19 mg/kg Körpergewicht des polyzyklischen aromatischen Kohlenwasserstoffs 1-Hydroxymethylpyren – ein Metabolit der Nahrungs- und Umweltkontaminante 1-Methylpyren – intraperitoneal verabreicht. Nach 30 Minuten wurden, verglichen mit den Wildtyp-Mäusen, bis zu 25fach erhöhte Adduktniveaus bei den transgenen Mäusen in Leber, Niere, Lunge und Jejunum nachgewiesen. Somit konnte anhand einer in dieser Arbeit generierten transgenen Mauslinie erstmals gezeigt werden, dass die Expression der humanen SULT1A1/hSULT1A2 tatsächlich sowohl auf die Stärke als auch die Zielgewebe der DNA-Adduktbildung in vivo eine Auswirkung hat.
Die Hybridomtechnik zur Produktion von monoklonalen Antikörpern ermöglichte einen großen Schritt in der Entwicklung von Immunoassays für die biochemische Forschung und klinische Diagnostik. Auch die Produktion von Antikörpern gegen niedermolekulare Analyten, Haptene, typische Targets in der Lebensmittel- und Umweltanalytik, erlangte in den letzten Jahren eine immer größere Bedeutung. Im Zuge der Durchführung der Hybridomtechnik werden tausende Antikörper-sezernierende und nicht-sezernierende Zellen generiert. Die Selektion der wenigen antigenselektiven Hybridomzellen zählt dabei zu den herausforderndsten Schritten für die Antikörpergewinnung. Bisherige Selektionsverfahren, wie die Limiting-Dilution-Klonierung in Verbindung mit Enzyme-linked Immunosorbent Assays (ELISAs), garantieren keine Monoklonalität und erlauben nur das Screening von einigen wenigen Zellklonen. Hingegen ermöglichen Hochdurchsatz-Selektionsmethoden, wie die Fluoreszenz-aktivierte Zellsortierung (FACS), einen sehr hohen Probendurchsatz. Eine Einzelzellablage garantiert hierbei Monoklonalität. Jedoch sind die dafür erforderlichen Zellmarkierungen oftmals zellschädigend oder aufwendig zu generieren. Auch ist bisher noch keine Markierungsmethode bekannt, die es ermöglicht, Hapten-selektive Hybridomzellen durchflusszytometrisch zu analysieren und eine FACS-Selektion durchzuführen.
Aus diesem Grund wurden in dieser Arbeit zwei Zellmarkierungsmethoden entwickelt, die dies ermöglichen sollten. Die membranständigen Antikörper von Hybridomzellen sollten entweder direkt oder indirekt immunfluoreszenz-markiert und dadurch für die Durchflusszytometrie und FACS-Selektion zugänglich gemacht werden. Die direkte Markierung wurde mittels eines Hapten-Fluorophor-Konjugats durchgeführt. Sie ermöglichte erstmalig den Anteil an Haptenselektiven Hybridomzellen in einer Hybridomzelllinie zu überprüfen. Dies konnte für zwei Hapten-selektive Hybridomzelllinien, die Antikörper gegen das Hormon 17β-Estradiol und das Cardenolid Digoxigenin bilden, gezeigt werden. Durchflusszytometrie und ELISAs lieferten vergleichbare Ergebnisse. Zellen, die Hapten-selektiv markiert werden konnten, sezernierten ebenfalls Hapten-selektive Antikörper. Des Weiteren konnte die direkte Markierung dazu genutzt werden, zwei Mykotoxin-selektive Hybridomzelllinien, welche Antikörper gegen Aflatoxin und Zearalenon bilden, auf Monoklonalität zu testen. Dies ist mittels ELISA nicht möglich. Die Markierungsmethode eignete sich jedoch nur für fixierte Hybridomzellen. Eine Markierung von lebenden Zellen konnte weder durchflusszytometrisch noch mittels konfokaler Laser-Scanning-Mikroskopie gezeigt werden.
Dies gelang erst mit einer neu entwickelten indirekten Immunfluoreszenzmarkierung. Dabei wurden die Zellen zunächst mit einem Hapten-Peroxidase-Konjugat inkubiert, gefolgt von einem Fluorophor-markierten anti-HRP-Antikörper-Konjugat. Dies wurde für zwei Analyten, das Hormon Estron und das Antiepileptikum Carbamazepin, gezeigt. Die indirekte Markierung wurde erfolgreich dazu verwendet, Carbamazepin-selektive Hybridomzellen aus einem Fusionsansatz für die monoklonale Antikörperproduktion auszusortieren. Damit wurde erstmalig eine Zellmarkierungsmethode entwickelt, die eine Hochdurchsatz-Selektion lebender Hybridomzellen aus einem Fusionsansatz ermöglicht. Sie ist nicht zellschädigend und kann zusätzlich zur Selektion Hapten-selektiver Plasmazellen verwendet werden.
Rubisco catalyses the first step of CO2 assimilation into plant biomass. Despite its crucial role, it is notorious for its low catalytic rate and its tendency to fix O2 instead of CO2, giving rise to a toxic product that needs to be recycled in a process known as photorespiration. Since almost all our food supply relies on Rubisco, even small improvements in its specificity for CO2 could lead to an improvement of photosynthesis and ultimately, crop yield. In this work, we attempted to improve photosynthesis by decreasing photorespiration with an artificial CCM based on a fusion between Rubisco and a carbonic anhydrase (CA).
A preliminary set of plants contained fusions between one of two CAs, bCA1 and CAH3, and the N- or C-terminus of RbcL connected by a small flexible linker of 5 amino acids. Subsequently, further fusion proteins were created between RbcL C-terminus and bCA1/CAH3 with linkers of 14, 23, 32, and 41 amino acids. The transplastomic tobacco plants carrying fusions with bCA1 were able to grow autotrophically even with the shortest linkers, albeit at a low rate, and accumulated very low levels of the fusion protein. On the other hand, plants carrying fusions with CAH3 were autotrophic only with the longer linkers. The longest linker permitted nearly wild-type like growth of the plants carrying fusions with CAH3 and increased the levels of fusion protein, but also of smaller degradation products.
The fusion of catalytically inactive CAs to RbcL did not cause a different phenotype from the fusions with catalytically active CAs, suggesting that the selected CAs were not active in the fusion with RbcL or their activity did not have an effect on CO2 assimilation. However, fusions to RbcL did not abolish RbcL catalytic activity, as shown by the autotrophic growth, gas exchange and in vitro activity measurements. Furthermore, Rubisco carboxylation rate and specificity for CO2 was not altered in some of the fusion proteins, suggesting that despite the defect in RbcL folding or assembly caused by the fusions, the addition of 60-150 amino acids to RbcL does not affect its catalytic properties. On the contrary, most growth defects of the plants carrying RbcL-CA fusions are related to their reduced Rubisco content, likely caused by impaired RbcL folding or assembly. Finally, we found that fusions with RbcL C-terminus were better tolerated than with the N-terminus, and increasing the length of the linker relieved the growth impairment imposed by the fusion to RbcL. Together, the results of this work constitute considerable relevant findings for future Rubisco engineering.
AM symbiosis has a positive influence on plant P-nutrition and growth, but little is known about the molecular mechanism of the symbiosis adaptation to different phosphate conditions. The recently described induction of several pri-miR399 transcripts in mycorrhizal shoots and subsequent accumulation of mature miR399 in mycorrhizal roots indicates that local PHO2 expression must be controlled during symbiosis, presumably in order to sustain AM symbiosis development, in spite of locally increased Pi-concentration. A reverse genetic approach used in this study demonstrated that PHO2 and thus the PHR1-miR399-PHO2 signaling pathway, is involved in certain stages of progressive root colonization. In addition, a transcriptomic approach using a split-root system provided a comprehensive insight into the systemic transcriptional changes in mycorrhizal roots and shoots of M. truncatula in response to high phosphate conditions. With regard to the transcriptional responses of the root system, the results indicate that, although the colonization is drastically reduced, AM symbiosis is still functional at high Pi concentrations and might still be beneficial to the plant. Additionally, the data suggest that a specific root-borne mycorrhizal signal systemically induces protein synthesis, amino acid metabolism and photosynthesis at low Pi conditions, which is abolished at high Pi conditions. MiRNAs, such as miR399, are involved in long-distance signaling and are therefore potential systemic signals involved in AM symbiosis. A deep-sequencing approach identified 243 novel miRNAs in the root tissue of M. truncatula. Read-count analysis, qRT-PCR measurements and in situ hybridizations clearly indicated a regulation of miR5229a/b, miR5204, miR160f*, miR160c, miR169 and miR169d*/l*/m*/e.2* during arbuscular mycorrhizal symbiosis. Moreover, miR5204* represses a GRAS TF, which is specifically transcribed in mycorrhizal roots. Since miR5204* is induced by high Pi it might represent a further Pi status-mediating signal beside miR399. This study provides additional evidence that MtNsp2, a key regulator of symbiosis-signaling, is regulated and presumably spatially restricted by miR171h cleavage. In summary, a repression of mycorrhizal root colonization at high phosphate status is most likely due to a repression of the phosphate starvation responses and the loss of beneficial responses in mycorrhizal shoots. These findings provide a new basis for investigating the regulatory network leading to cellular reprogramming during interaction between plants, arbuscular mycorrhizal fungi and different phosphate conditions.
Measuring the metabolite profile of plants can be a strong phenotyping tool, but the changes of metabolite pool sizes are often difficult to interpret, not least because metabolite pool sizes may stay constant while carbon flows are altered and vice versa. Hence, measuring the carbon allocation of metabolites enables a better understanding of the metabolic phenotype. The main challenge of such measurements is the in vivo integration of a stable or radioactive label into a plant without perturbation of the system. To follow the carbon flow of a precursor metabolite, a method is developed in this work that is based on metabolite profiling of primary metabolites measured with a mass spectrometer preceded by a gas chromatograph (Wagner et al. 2003; Erban et al. 2007; Dethloff et al. submitted). This method generates stable isotope profiling data, besides conventional metabolite profiling data. In order to allow the feeding of a 13C sucrose solution into the plant, a petiole and a hypocotyl feeding assay are developed. To enable the processing of large numbers of single leaf samples, their preparation and extraction are simplified and optimised. The metabolite profiles of primary metabolites are measured, and a simple relative calculation is done to gain information on carbon allocation from 13C sucrose. This method is tested examining single leaves of one rosette in different developmental stages, both metabolically and regarding carbon allocation from 13C sucrose. It is revealed that some metabolite pool sizes and 13C pools are tightly associated to relative leaf growth, i.e. to the developmental stage of the leaf. Fumaric acid turns out to be the most interesting candidate for further studies because pool size and 13C pool diverge considerably. In addition, the analyses are also performed on plants grown in the cold, and the initial results show a different metabolite pool size pattern across single leaves of one Arabidopsis rosette, compared to the plants grown under normal temperatures. Lastly, in situ expression of REIL genes in the cold is examined using promotor-GUS plants. Initial results suggest that single leaf metabolite profiles of reil2 differ from those of the WT.
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.
Synthetische Transkriptionsfaktoren bestehen wie natürliche Transkriptionsfaktoren aus einer DNA-Bindedomäne, die sich spezifisch an die Bindestellensequenz vor dem Ziel-Gen anlagert, und einer Aktivierungsdomäne, die die Transkriptionsmaschinerie rekrutiert, sodass das Zielgen exprimiert wird. Der Unterschied zu den natürlichen Transkriptionsfaktoren ist, sowohl dass die DNA-Bindedomäne als auch die Aktivierungsdomäne wirtsfremd sein können und dadurch künstliche Stoffwechselwege im Wirt, größtenteils chemisch, induziert werden können. Optogenetische synthetische Transkriptionsfaktoren, die hier entwickelt wurden, gehen einen Schritt weiter. Dabei ist die DNA-Bindedomäne nicht mehr an die Aktivierungsdomäne, sondern mit dem Blaulicht-Photorezeptor CRY2 gekoppelt. Die Aktivierungsdomäne wurde mit dem Interaktionspartner CIB1 fusioniert. Unter Blaulichtbestrahlung dimerisieren CRY2 und CIB1 und damit einhergehend die beiden Domänen, sodass ein funktionsfähiger Transkriptionsfaktor entsteht. Dieses System wurde in die Saccharomyces cerevisiae genomisch integriert. Verifiziert wurde das konstruierte System mit Hilfe des Reporters yEGFP, welcher durchflusszytometrisch detektiert werden konnte. Es konnte gezeigt werden, dass die yEGFP Expression variabel gestaltet werden kann, indem unterschiedlich lange Blaulichtimpulse ausgesendet wurden, die DNA-Bindedomäne, die Aktivierungsdomäne oder die Anzahl der Bindestellen, an dem sich die DNA-Bindedomäne anlagert, verändert wurden. Um das System für industrielle Anwendungen attraktiv zu gestalten, wurde das System vom Deepwell-Maßstab auf Photobioreaktor-Maßstab hochskaliert. Außerdem erwies sich das Blaulichtsystem sowohl im Laborstamm YPH500 als auch im industriell oft verwendeten Hefestamm CEN.PK als funktional. Des Weiteren konnte ein industrierelevante Protein ebenso mit Hilfe des verifizierten Systems exprimiert werden. Schlussendlich konnte in dieser Arbeit das etablierte Blaulicht-System erfolgreich mit einem Rotlichtsystem kombiniert werden, was zuvor noch nicht beschrieben wurde.
Since the golden era of antibiotics natural products are of ever growing interest to both basic research and applied sciences as they are the main source of new bioactive compounds delivering lead structures for new pharmaceuticals with potent antibiotic, anti-inflammatory or anti-cancer activities. Alongside the technological advances in high-throughput genome sequencing and the better understanding of the general organization of those modular biosynthetic assembly lines of secondary metabolites, there was also a shift from wet-lab screening of active cell extracts towards algorithm-based in silico screening for new natural product biosynthesis gene clusters (BGCs). Although the increasing availability of full genome sequences revealed that such non-ribosomal peptide synthetases (NRPS), polyketide synthases (PKS) and ribosomally synthesized and post-translationally modified peptides (RiPPs) can be found in all three kingdoms of life, certain phyla like actinobacteria and cyanobacteria show a very high density of these secondary metabolite BGCs.
The facultative symbiotic, N2-fixing model organism N. punctiforme PCC73102 is a terrestrial type IV cyanobacterium that not only dedicates are very large fraction of its genome to secondary metabolite production but is also amenable to genetic modification. AntiSMASH analysis of the genome showed that there are sixteen potential secondary metabolite BGCs encoded in N. punctiforme, but until now there were only two compounds assigned to their respective BGC leaving the remaining fourteen orphan. This makes the organism a perfect subject for the establishment of a novel combinatorial genomic mining approach for the detection of new natural products.
In the course of this study a combinatorial approach of genomic mining, independent monitoring techniques and alteration of cultivation conditions lead to new insights in cyanobacterial natural product biosynthesis and ultimately to the description of a novel compound produced by N. punctiforme. With the generation and investigation of a reporter strain library consisting of CFP-producing transcriptional reporter mutants for every predicted secondary metabolite BGC of N. punctiforme, it could be shown that natural product expression is in fact not silent for all those BGCs where no compound can be detected. Instead several distinct expression patterns could be described highlighting that secondary metabolite production is under tight regulation and only a minor fraction of these BGCs is in fact silent under standard laboratory conditions. Furthermore, increasing light intensity and carbon dioxide availability and cultivating N. punctiforme to very high cell densities had a tremendous impact on the overall metabolic activity of the organism. Investigation of high density cultivated cell extracts ultimately lead to the detection of a so far undescribed set of microviridins with unusual extended peptide sequences named Microviridin N3 – N9. Both cultivation of the transcriptional reporter mutants as well as RTqPCR-based detection of secondary metabolite BGC transcription levels revealed that in fact 50% of N. punctiforme’s natural product BGCs are upregulated under high cell density conditions. In contrast to this very broad response, co-cultivation of N. punctiforme in chemical or physical contact with a N-deprived host plant (Blasia pusilla) lead to a very specific upregulation of two natural product BGCs, namely RIPP3 and RIPP4. Although this response could be confirmed by various independent monitoring techniques and heavy analytical efforts were spent, no compound could be assigned to either of these BGCs.
This study is the first in-depth systematic investigation of a cyanobacterial secondary metabolome by a combinatorial approach of genome mining and independent monitoring techniques that can serve as a new strategic approach to gain further insight into natural product synthesis of various organisms. Although there are single well described examples of secondary metabolites like the cell differentiation factor PatS in Anabaena sp. strain PCC 7120, the level and extent of regulation observed in this study is unprecedented and understanding of these mechanisms might be the key to streamline natural product discovery. However, the results of this study also highlight that induction of secondary metabolite BGCs is not the real challenge. Instead the new insights point towards analytical issues being a severe hurdle and finding reliable strategies to overcome these problems might as well drive natural product discovery.