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Highlights
• Seed size mediates seedling recruitment in tropical forests and pastures.
• Large-seeded species recruited better than small-seeded species in the forest.
• Recruitment of large-seeded species in pastures was limited by surface temperature.
• Large-seeded species should be protected against drought in regenerating pastures.
Abstract
Seedling recruitment is a key process of plant regeneration that often depends on plant functional traits, such as seed size. To optimize forest restoration efforts, we need to better understand how seedling recruitment of different seed sizes varies along environmental gradients with strong variation in abiotic and biotic factors. To understand these interacting effects, we conducted a sowing experiment with different-sized seeds in forests and pastures in the tropical mountains of southern Ecuador. We quantified seedling recruitment in relation to temperature, soil moisture and biotic pressures. We sowed seeds of five tree species of varying seed size at three elevations (1000, 2000 and 3000 m a.s.l.) in primary forest and pastures. We tested (1) how habitat type influences the recruitment of seedlings belonging to three small- and two large-seeded species, and (2) how abiotic and biotic factors limit seedling recruitment of species with different seed sizes. We found that seedlings of the two large-seeded species recruited better than seedlings of the three small-seeded species, but only in the forest habitat. Seedling recruitment of large seeds was primarily limited by high surface temperature, which explains lower recruitment of large seeds in pastures compared to forests. Our study shows that seed size can be a key trait mediating variability in seedling recruitment in tropical ecosystems. We conclude that restoration measures should aim to mitigate extreme temperatures in tropical pastures to aid the natural regeneration of large-seeded tree species.
Highlights
• Three ecological groups were identified based on distributional patterns.
• Old assessments were confirmed with the latest occurrence data.
• For each group, we derived different population trends in times of global change.
• Global change elevates importance of vector-borne diseases.
• Our results serve as base for effective Simuliidae monitoring.
Abstract
The black fly genus Simulium includes medically and ecologically important species, characterized by a wide variation of ecological niches largely determining their distributional patterns. In a rapidly changing environment, species-specific niche characteristics determine whether a species benefits or not. With aquatic egg, larval and pupal stages followed by a terrestrial adult phase, their spatial arrangements depend upon the interplay of aquatic conditions and climatic-landscape parameters in the terrestrial realm. The aim of this study was to enhance the understanding of the distributional patterns among Simulium species and their ecological drivers. In an ecological niche modelling approach, we focused on 12 common black fly species with different ecological requirements. Our modelling was based on available distribution data along with five stream variables describing the climatic, land-cover, and topographic conditions of river catchments. The modelled freshwater habitat suitability was spatially interpolated to derive an estimate of the adult black flies' probability of occurrence. Based on similarities in the spatial patterns of modelled habitat suitability we were able to identify three biogeographical groups, which allows us to confirm old assessments with current occurrence data: (A) montane species, (B) broad range species and (C) lowland species. The five veterinary and human medical relevant species Simulium equinum, S. erythrocephalum, S. lineatum, S. ornatum and S. reptans are mainly classified in the lowland species group. In the course of climatic changes, it is expected that biocoenosis will slightly shift towards upstream regions, so that the lowland group will presumably emerge as the winner. This is mainly explained by wider ecological niches, including a higher temperature tolerance and tolerance to various pollutants. In conclusion, these findings have significant implications for human and animal health. As exposure to relevant Simulium species increases, it becomes imperative to remain vigilant, particularly in investigating the potential transmission of pathogens.
Trait-dependent effects of biotic and abiotic filters on plant regeneration in Southern Ecuador
(2024)
Tropical forests have always fascinated scientists due to their unique biodiversity. However, our understanding of ecological processes shaping the complexity of tropical rainforests is still relatively poor. Plant regeneration is one of the processes that remain understudied in the tropics although this is a key process defining the structure, diversity and assembly of tropical plant communities. In my dissertation, I combine experimental, observational and trait-based approaches to identify processes shaping the assembly of seedling communities and compare associations between environmental conditions and plant traits across plant life stages. By working along a steep environmental gradient in the tropical mountains of Southern Ecuador, I was able to investigate how processes of plant regeneration vary in response to biotic and abiotic factors in tropical montane forests.
My dissertation comprises three complementary chapters, each addressing an individual research question. First, I studied how trait composition in plant communities varies in relation to the broad- and local-scale environmental conditions and across the plant life cycle. I measured key traits reflecting different ecological strategies of plants that correspond to three stages of the plant life cycle (i.e., adult trees, seed rain and recruiting seedlings). I worked on 81 subplots along an elevational gradient covering a large climatic gradient at three different elevations (1000, 2000 and 3000 m a.s.l.). In addition, I measured soil and light conditions at the local spatial scale within each subplot. My findings show that the trait composition of leaves, seeds and seedlings changed similarly across the elevational gradient, but that the different life stages responded differently to the local gradients in soil nutrients and light availability. Consequently, my findings highlight that trait-environment associations in plant communities differ between large and small spatial scales and across plant life stages.
Second, I investigated how seed size affects seedling recruitment in natural forests and in pastures in relation to abiotic and biotic factors. I set up a seed sowing experiment in both habitat types and sowed over 8,000 seeds belonging to seven tree species differing in seed size. I found that large-seeded species had higher proportions of recruitment in the forests compared to small-seeded species. However, small-seeded species tended to recruit better in pastures compared to large-seeded species. I showed that high surface temperature was the main driver of differences in seedling recruitment between habitats, because it limited seedling recruitment of large-seeded species. The results from this experiment show that pasture restoration requires seed addition of large-seeded species and active protection of recruiting seedlings in order to mitigate harmful conditions associated with high temperatures in deforested areas.
Third, I examined the associations between seedling beta-diversity and different abiotic and biotic factors between and within elevations. I applied beta-diversity partitioning to obtain two components of beta-diversity: species turnover and species richness differences. I associated these components of beta-diversity with biotic pressures by herbivores and fungal pathogens and environmental heterogeneity in light and soil conditions. I found that species turnover in seedling communities was positively associated with the dissimilarity in biotic pressures within elevations and with environmental heterogeneity between elevations. Further, I found that species richness differences increased primarily with increasing environmental heterogeneity within elevations. My findings show that the associations between beta-diversity of seedling communities and abiotic and biotic factors are scale-dependent, most likely due to differences in species sorting in response to biotic pressures and species coexistence in response to environmental heterogeneity.
My dissertation reveals that studying processes of community assembly at different plant life stages and spatial scales can yield new insights into patterns and processes of plant regeneration in tropical forests. I investigated how community assembly processes are governed by abiotic and biotic filtering across and within elevations. I also experimentally explored how the process of seedling recruitment depends on seed size-dependent interactions, and verified how these effects are associated with abiotic and biotic filtering. Identifying such processes is crucial to inform predictive models of environmental change on plant regeneration and successful forest restoration. Further exploration of plant functional traits and their associations with local-scale environmental conditions could effectively support local conservation efforts needed to enhance forest cover in the future and halt the accelerating loss of biodiversity.
Zinc finger (ZnF) domains appear in a pool of structural contexts and despite their small size achieve varying target specificities, covering single-stranded and double-stranded DNA and RNA as well as proteins. Combined with other RNA-binding domains, ZnFs enhance affinity and specificity of RNA-binding proteins (RBPs). The ZnF-containing immunoregulatory RBP Roquin initiates mRNA decay, thereby controlling the adaptive immune system. Its unique ROQ domain shape-specifically recognizes stem-looped cis-elements in mRNA 3’-untranslated regions (UTR). The N-terminus of Roquin contains a RING domain for protein-protein interactions and a ZnF, which was suggested to play an essential role in RNA decay by Roquin. The ZnF domain boundaries, its RNA motif preference and its interplay with the ROQ domain have remained elusive, also driven by the lack of high-resolution data of the challenging protein. We provide the solution structure of the Roquin-1 ZnF and use an RBNS-NMR pipeline to show that the ZnF recognizes AU-rich elements (ARE). We systematically refine the contributions of adenines in a poly(U)-background to specific complex formation. With the simultaneous binding of ROQ and ZnF to a natural target transcript of Roquin, our study for the first time suggests how Roquin integrates RNA shape and sequence specificity through the ROQ-ZnF tandem.
EF-P and its paralog EfpL (YeiP) differentially control translation of proline containing sequences
(2024)
Polyproline sequences (XPPX) stall ribosomes, thus being deleterious for all living organisms. In bacteria, translation elongation factor P (EF-P) plays a crucial role in overcoming such arrests. 12% of eubacteria possess an EF-P paralog – YeiP (EfpL) of unknown function. Here, we functionally and structurally characterize EfpL from Escherichia coli and demonstrate its yet unrecognized role in the translational stress response. Through ribosome profiling, we analyzed the EfpL arrest motif spectrum and discovered additional stalls beyond the canonical XPPX motifs at single-proline sequences (XPX), that both EF-P and EfpL can resolve. Notably, the two factors can also induce pauses. We further report that, contrary to the housekeeping EF-P, EfpL can sense the metabolic state of the cell, via lysine acylation. Together, our work uncovers a new player in ribosome rescue at proline-containing sequences, and provides evidence that co-occurrence of EF-P and EfpL is an evolutionary driver for higher bacterial growth rates.
In natural environments, background noise can degrade the integrity of acoustic signals, posing a problem for animals that rely on their vocalizations for communication and navigation. A simple behavioral strategy to combat acoustic interference would be to restrict call emissions to periods of low-amplitude or no noise. Using audio playback and computational tools for the automated detection of over 2.5 million vocalizations from groups of freely vocalizing bats, we show that bats (Carollia perspicillata) can dynamically adapt the timing of their calls to avoid acoustic jamming in both predictably and unpredictably patterned noise. This study demonstrates that bats spontaneously seek out temporal windows of opportunity for vocalizing in acoustically crowded environments, providing a mechanism for efficient echolocation and communication in cluttered acoustic landscapes.
One Sentence Summary: Bats avoid acoustic interference by rapidly adjusting the timing of vocalizations to the temporal pattern of varying noise.
Identification of new natural products from nematode-associated bacteria using mass spectrometry
(2023)
This work aims to find unknown natural products produced by bacteria, that live in close association with nematodes and to elucidate their structure by using mass spectrometry.
The first chapter of this work is dedicated to the detection of hitherto unknown natural products by using a metabolomics approach and subsequent structure elucidation of said compounds. This chapter includes metabolomics analysis of Xenorhabdus szentirmaii wild type and knockout mutants, overproduction of the target compound, identification of derivatives from other strains and MS based structure elucidation.
The second and third chapters are about natural products that protect C. elegans from B. thuringiensis infections.
The second chapter deals with natural products that protect the nematode host without killing the pathogen. I deployed molecular biology methods to generate deletion and overproduction strains of a target compound, identified it via LC-MS/MS analysis and used LC-MS/MS and lipidomics to analyse the chemical properties of the active compound.
The third chapter aims at finding natural products, which are produced by Pseudomonas strains MYb11 and MYb12, respectively. These natural products display the ability to protect C. elegans by killing B. thuringiensis. I identified said compounds via fractionation and subsequent bioactivity testing. After identification, I generated production strains of the target compounds and elucidated the structure of the bioactive derivative.
The last chapter deals with the structure elucidation of peptides produced by an unusual GameXPeptide synthetase in Xenorhabdus miraniensis. I analysed producer strains of GameXPeptides using LC-MS and elucidated the structural differences between the known GameXPeptides, produced by P. luminescens TT01, and the unusual ones produced by X. miraniensis.
Deviance detection describes an increase of neural response strength caused by a stimulus with a low probability of occurrence. This ubiquitous phenomenon has been reported for multiple species, from subthalamic areas to auditory cortex. While cortical deviance detection has been well characterised by a range of studies covering neural activity at population level (mismatch negativity, MMN) as well as at cellular level (stimulus-specific adaptation, SSA), subcortical deviance detection has been studied mainly on cellular level in the form of SSA. Here, we aim to bridge this gap by using noninvasively recorded auditory brainstem responses (ABRs) to investigate deviance detection at population level in the lower stations of the auditory system of a hearing specialist: the bat Carollia perspicillata. Our present approach uses behaviourally relevant vocalisation stimuli that are closer to the animals' natural soundscape than artificial stimuli used in previous studies that focussed on subcortical areas. We show that deviance detection in ABRs is significantly stronger for echolocation pulses than for social communication calls or artificial sounds, indicating that subthalamic deviance detection depends on the behavioural meaning of a stimulus. Additionally, complex physical sound features like frequency- and amplitude-modulation affected the strength of deviance detection in the ABR. In summary, our results suggest that at population level, the bat brain can detect different types of deviants already in the brainstem. This shows that subthalamic brain structures exhibit more advanced forms of deviance detection than previously known.
The brains of black 6 mice (Mus musculus) and Seba’s short-tailed bats (Carollia perspicillata) weigh roughly the same and share mammalian neocortical laminar architecture. Bats have highly developed sonar calls and social communication and are an excellent neuroethological animal model for auditory research. Mice are olfactory and somatosensory specialists, used frequently in auditory neuroscience for their advantage of standardization and wide genetic toolkit. This study presents an analytical approach to overcome the challenge of inter-species comparison with existing data. In both data sets, we recorded with linear multichannel electrodes down the depth of the primary auditory cortex (A1) while presenting repetitive stimuli trains at ~5 and ~40 Hz to awake bats and mice. We found that while there are similarities between cortical response profiles in both, there was a better signal to noise ratio in bats under these conditions, which allowed for a clearer following response to stimuli trains. Model fit analysis supported this, illustrating that bats had stronger response amplitude suppression to consecutive stimuli. Additionally, continuous wavelet transform revealed that bats had significantly stronger power and phase coherence during stimulus response and mice had stronger power in the background. Better signal to noise ratio and lower intertrial phase variability in bats could represent specialization for faster and more accurate temporal processing at lower metabolic costs. Our findings demonstrate a potentially different general auditory processing principle; investigating such differences may increase our understanding of how the ecological need of a species shapes the development and function of its nervous system.
Macrophage infectivity potentiator (MIP) proteins are widespread in human pathogens including Legionella pneumophila, the causative agent of Legionnaires’ disease and protozoans such as Trypanosoma cruzi. All MIP proteins contain a FKBP (FK506 binding protein)-like prolyl-cis/trans-isomerase domain that hence presents an attractive drug target. Some MIPs such as the Legionella protein (LpMIP) have additional appendage domains of mostly unknown function. In full-length, homodimeric LpMIP, the N-terminal dimerization domain is linked to the FKBP-like domain via a long, free-standing stalk helix. Combining X-ray crystallography, NMR and EPR spectroscopy and SAXS, we elucidated the importance of the stalk helix for protein dynamics and inhibitor binding to the FKBP-like domain and bidirectional crosstalk between the different protein regions. The first comparison of a microbial MIP and a human FKBP in complex with the same synthetic inhibitor was made possible by high-resolution structures of LpMIP with a [4.3.1]-aza-bicyclic sulfonamide and provides a basis for designing pathogen-selective inhibitors. Through stereospecific methylation, the affinity of inhibitors to to L. pneumophila and T. cruzi MIP was greatly improved. The resulting X-ray inhibitor-complex structures of LpMIP and TcMIP at 1.49 and 1.34 Å, respectively, provide a starting point for developing potent inhibitors against MIPs from multiple pathogenic microorganisms.
Xylose, an abundant sugar fraction of lignocellulosic biomass, is a five-carbon skeleton molecule. Since decades, utilization of this sugar has gained much attention and has been in particular focus as a substrate for production of biofuels like ethanol by microbial hosts, including Saccharomyces cerevisiae. In this yeast, xylose is naturally not used as a carbon source, but its utilization could be achieved by metabolic engineering either via the oxidoreductive route or through the isomerase pathway. Both pathways share xylulose as a common intermediate that must be phosphorylated before entering the endogenous metabolism via the non-oxidative pentose phosphate pathway (noxPPP). Besides this, in some bacteria a non-phosphorylating oxidative pathway for xylose degradation exists, known as Weimberg pathway, where a molecule of xylose is converted by a series of enzymes - xylose dehydrogenase (XylB), xylonate dehydratase (XylD), 3-keto-2-deoxy-xylonate dehydratase (XylX) and α-ketoglutarate semialdehyde dehydrogenase (KsaD) - to form α-ketoglutarate (AKG). Besides having several useful properties as a product, AKG could also be used for cell growth as an intermediate of the tricarboxylic acid (TCA) cycle. One target of the present study is to establish a functional Weimberg pathway in S. cerevisiae. Previous studies have shown that this task is not trivial, for instance due to the toxicity of xylonate (the first metabolite of the pathway) and the involvement of an iron-sulfur cluster dependent enzyme, the D-xylonate dehydratase. The assembly of iron-sulfur clusters on a heterologous protein in yeast is known to be challenging.
To establish the Weimberg pathway in yeast, the genes xylB, xylD, and xylX were obtained from Caulobacter cresentus and ksaD was from Corynebacterium glutamicum. In a variant, the dehydratase xylD was replaced with orf41 from Arthrobacter nicotinovorans, which is believed to be independent of iron-sulfur clusters. Growth of yeast cells on xylose as a sole carbon source was expected as an indicator of a functional Weimberg pathway. However, the heterologous expression of the codon optimized genes was not sufficient to reach this goal. Due to the complexity of the interactions of the heterologous pathway with the endogenous cellular processes, it was assumed that potential limitations could be overcome by adaptive laboratory evolution, using xylose as a sole source of carbon. Increasing selection pressure was applied on a strain with Weimberg pathway genes integrated into the genome over several generations. As a variant of the evolutionary engineering approach, mutator strains were generated. For this, RAD27 and MSH2 genes were deleted, which are involved in nucleotide excision and mismatch repair mechanisms, respectively. Some of the resulting strains PRY24, PRY25, PRY27 and PRY28 were able grow in xylose as a sole carbon source after evolutionary engineering. As a control, a non-mutator strain PRY19 was also included. Strikingly, only the mutator strains were able to consume xylose as a sole carbon source, which shows the feasibility of the approach.
In addition to the mutator strain strategy, a further approach employed in the present study was the simultaneous expression of the Weimberg pathway in the cytosol and mitochondria. This was based on the reasoning that the iron-sulfur cluster biogenesis on XylD may be improved in the organelle and that the AKG is an intermediate of the TCA cycle. In the strain AHY02, all enzymes of the pathway were tagged with mitochondrial targeting signals in addition to a full cytosolically localized pathway. The localization of the mitochondrial variants was confirmed by fluorescence microscopy. Together with AHY02, CEN.PK2-1C wild type strain was also included as a control for evolution. When a selection pressure on xylose was applied, both strains - AHY02 and CEN.PK2-1C - were able to grow in the course of evolution. Deletion of the xylulokinase (XKS1) gene was found to be detrimental for both evolved strains in xylose-containing media. This suggests that the evolution of the endogenous oxidoreductive and noxPPP genes is responsible for growth of the evolved cells. For the evolved strain AHY02, it could also be possible that the Weimberg pathway genes supported to growth in addition to the oxidoreductive route. To elucidate the underlying molecular mechanisms, genome sequencing and reverse engineering approaches would be necessary in future.
In addition to screening for growth on xylose as a sole carbon source, a less stringent screening system was created to examine even a minor flux of xylose towards AKG. For this, all genes necessary for conversion of isocitrate to AKG where deleted, yielding a glutamate auxotrophic strain. In this system, the cells can grow on other carbon sources, whereas xylose is only provided as a source of AKG for the synthesis of glutamate...
Bei den meisten erwachsenen Säugetieren führt ein Herzinfarkt zu Fibrose und Verlust von funktionellem Herzgewebe. Einige Wirbeltiere, wie der Zebrabärbling, besitzen jedoch die bemerkenswerte Fähigkeit, nach einer Schädigung ihres Herzgewebes verlorenes Gewebe zu regenerieren und so schädliche Folgen zu verhindern. Die lokale Immunantwort auf eine Verletzung wird zunehmend als eine wichtige Determinante für das regenerative Potential eines Gewebes gesehen. Das Komplementsystem ist Teil des humoralen Immunsystems. Historisch ist es als eine Sammlung von Protein bekannt, den Komplementkomponenten, die in der Leber synthetisiert werden und im Blutkreislauf zirkulieren. Bei Exposition gegenüber einem Auslöser, wie z. B. einem Pathogen, wird eine Komplementkomponentproteinspaltungskaskade initiiert, die dazu führen kann, dass Immunzellen rekrutiert werden, und, dass die Phagozytose erleichtert, ggf. die Zielzelle lysiert wird. Studien legen nahe, dass das Komplementsystem an zellulären Prozessen beteiligt sei, die für Entwicklungs- und Krankheitsprozesse entscheidend sind, wie etwa Proliferation und Dedifferenzierung. Es gibt Hinweise, dass das Komplementsystem eine Rolle bei Krebserkrankungen und bei regenerativen Prozessen spielen könnte. In verschiedenen Arten wurde eine lokale verletzungsinduzierte Expression von komplementkomponentkodierenden Genen in regenerierendem Gewebe beobachtet.
Einzelne Studien legen nahe, dass Funktionsverlust einzelner Komplementkomponenten regenerative Prozesse beeinträchtigt.
Offene Fragen bleiben jedoch: Ist die lokale Expression von mehreren komplementkomponentkodierenden Genen ein Merkmal von regenerierendem Gewebe, das sie von Geweben unterscheidet, welchem die Fähigkeit zur Regeneration fehlt? Und welche Rolle könnte das Komplementsystem und seine Komponenten während des regenerativen Prozesses spielen? Um diesen Fragen nachzugehen, wurde eine Expressionsanalyse von Zebrabärblingsgewebe nach Verletzung mittels RT-qPCR und in situ Hybridisierung durchgeführt: kardiale Kryoverletzung, Larvenrumpfamputation und Schwanzflossenamputation. Ich beobachtete, dass mehrere komplementkomponentkodierende Gene in diesen Geweben nach Verletzung induziert wurden. Die Interpretation veröffentlichter single cell RNAseq Datensätze legt nahe, dass diese komplementkomponentenkodierenden Gene von verschiedenen Zelltypen exprimiert werden, darunter Immunzellen, Epikardzellen und Fibroblasten. Um transkriptionelle Unterschiede zwischen regenerierendem und nicht regenerierendem Gewebe zu identifizieren, verwendete ich ein nicht regeneratives Zebrabärblingmodell, die il11ra- Mutante. Dieser Mutante fehlt die Fähigkeit, verschiedene Organe zu regenerieren, das ist der Fall beim Herzen, dem larvalen Rumpf, und der Schwanzflosse. Ich stellte fest, dass die Mehrheit der verletzungsinduzierten komplementkomponentkodierenden Gene il11ra nachgeschaltet war. Darüber hinaus zeigten Experimente unter Verwendung chemischer Inhibitoren, dass speziell die Expression der komplementkomponentkodierenden Gene c3a.1,
c4b und c7a im Larvenrumpfamputationsmodell durch den Il11-Stat3-Signalweg moduliert wird.
Zur Klärung der Frage, ob das Komplementsystem und/ oder seine Komponenten eine Rolle während der Regeneration spielen, wurden verschiede Funktionsverlustmodelle generiert und im larvalen Rumpfamputationsmodell auf mögliche Aberrationen getestet. Zum einen generierte ich Überexpressionslinien von endogenen Inhibitoren der Komplementproteinspaltungskaskade. Überexpression eines etablierten Komplementsysteminhibitors rca2.1/ tecrem führte zu einer im Vergleich zu Wildtyp- Geschwistern verringerten Regeneration des larvalen Rumpfs. Zum anderen generierte ich Funktionsverlustmutanten von individuellen Komplementkomponenten durch CRISPR/Cas9 vermittelter Mutagenese, und zwar für masp1, masp2, cfd, c1s, c4b, c5 und c9. Die larvale Rumpfregeneration war in diesen Mutanten unauffällig. Allerdings zeigten c4b Mutanten eine verringerte Kardiomyozytenproliferation und eine differenzielle Expression von einigen Markergenen, einschließlich einer erhöhten Expression von inflammatorischen Zytokinen.
Meine Studien führten zu neuen Einblicken in das Komplementsystem im Kontext der Regeneration. Ich fand heraus, dass mehrere komplementkomponentenkodierenden Gene in regenerierendem Zebrabärblinggewebe exprimiert werden, und zwar im Herzgewebe, im larvalen Rumpf und in der adulten Flosse. Darüber hinaus zeige ich, dass die verletzungsinduzierte Expression von komplementkodierenden Genen in regenerierendem Gewebe dem Regenerationsmasterregulator il11ra nachgeschaltet ist. Speziell c3a.1, c4b und c7a wurden durch il11/ stat3 reguliert...
Establishing and maintaining protected areas (PAs) is a key action in delivering post-2020 biodiversity targets. PAs often need to meet multiple objectives, ranging from biodiversity protection to ecosystem service provision and climate change mitigation, but available land and conservation funding is limited. Therefore, optimizing resources by selecting the most beneficial PAs is vital. Here, we advocate for a flexible and transparent approach to selecting PAs based on multiple objectives, and illustrate this with a decision support tool on a global scale. The tool allows weighting and prioritization of different conservation objectives according to user-specified preferences as well as real-time comparison of the outcome. Applying the tool across 1,346 terrestrial PAs, we demonstrate that decision makers frequently face trade-offs among conflicting objectives, e.g., between species protection and ecosystem integrity. Nevertheless, we show that transparent decision support tools can reveal synergies and trade-offs associated with PA selection, thereby helping to illuminate and resolve land-use conflicts embedded in divergent societal and political demands and values.
The capacity of pathogenic bacteria to adhere to host cells and to avoid subsequent clearance by the host´s immune response is the initial and most decisive step leading to infections. Human pathogenic bacteria circulating in the bloodstream need to find ways to interact with endothelial cells (ECs) lining the blood vessels to infect and colonise the host. The extracellular matrix (ECM) of ECs might represent an attractive initial target for bacterial interaction, as many bacterial adhesins have reported affinities to ECM proteins, particularly fibronectin (Fn). Trimeric autotransporter adhesins (TAA) have been described as important pathogenicity factors of Gram-negative bacteria. The TAA from human pathogenic Bartonella henselae, Bartonella adhesin A (BadA), is one of the longest and best characterised adhesin and represents a prototypic TAA due to its domain architecture. B. henselae, the causative agent of cat scratch disease, endocarditis, and bacillary angiomatosis, adheres to ECs and ECM proteins via BadA interaction.
In this research, it was determined that the interaction between BadA and Fn is essential for B. henselae host cell adhesion. BadA interactions were identified within the heparin-binding domains of Fn, and the exact binding sites were revealed by mass spectrometry analysis of chemically crosslinked whole-cell bacteria and Fn. It turned out that specific BadA interactions with defined Fn regions represent the molecular basis for bacterial adhesion to ECs. These data were confirmed by using BadA-deficient bacteria and CRISPR-Cas FN1 knockout ECs. It was also identified that BadA binds to Fn from both cellular and plasma origin, suggesting that B. henselae binding to Fn might possibly take part in other infection processes apart from bacterial adherence, e.g. evasion from the host cell immune system.
Interactions between TAAs and Fn represent a key step for adherence of B. henselae to ECs. Still, Fn-mediated binding is of more significant importance for pathogenic bacteria than broadly recognised. Fn removal from the ECM environment of ECs, also reduced adherence of Staphylococcus aureus, Borrelia burgdorferi, and Acinetobacter baumannii to host cells Interactions between adhesins and Fn might therefore represent a crucial step for the adhesion of human-pathogenic Gram-negative and Gram-positive bacteria targeting the ECs as a niche of infection or as means for persistence.
This research demonstrated that combining large-scale analysis approaches to describe protein-protein interactions with supportive functional readouts (binding assays) allows for the discrimination of crucial interactions involved in bacterial adhesion to the host. The herein-described experimental approaches and tools might guide future research for other pathogenic bacteria and represent an initial point for the future generation of anti-virulence strategies to inhibit bacterial binding to host cells.
Brain development is a complex and highly organized process that relies on the coordinated interaction between neurons and vessels. These cell systems form a neurovascular link that involves the exchange of oxygen, ions, and other physiological components necessary for proper neuronal and vascular function. This physiologically coupled process is executed through analogous structural and molecular signaling mechanisms shared by both cell types. At the neurovascular interface, the cellular crosstalk via these shared signaling mechanisms allows for the synchronized expansion and integration of neurons and vessels into complex cellular networks. This study investigated the role of VEGFR2, a receptor for vascular endothelial growth factor (VEGF), during postnatal neuronal development in the mouse hippocampus. Prior studies have revealed physiological roles of VEGF, a pro-angiogenic morphogen, in nervous system development. However, it was unclear if VEGF signaling had a direct effect on neuronal physiology and function through neuronal-expressing receptors. In this investigative work, we identified a previously unknown function of VEGFR2, whereby VEGF-induced signaling coordinates the development and circuitry integration of CA3 pyramidal neurons in the early postnatal mouse hippocampus. Mechanistically, we found that VEGFR2 signaling requires receptor endocytosis, a process mediated by ephrinB2. We also found that VEGF-induced cooperative signaling between VEGFR2 and ephrinB2 is functionally required for the dendritic arborization and spine maturation of developing CA3 neurons during the first few postnatal weeks. Moreover, in a collaborative effort with the research group of Carmen Ruiz de Almodovar, formerly at the University of Heidelberg, we simultaneously studied VEGF-induced VEGFR2 signaling in CA3 axonal development. Together, we aimed to gain a comprehensive understanding of the complex interplay between VEGF and VEGFR2 signaling during the early postnatal development of CA3 neurons. Ruiz de Almodovar’s research group found that, unlike the branch and spine development of CA3 dendrites, VEGF-VEGFR2 signaling promotes axonal development through mechanisms that are independent of ephrinB2 function. Our findings on CA3 dendritic development are reported in the published manuscript, Harde et al. (2019), and the complementary work on CA3 axonal development from Ruiz de Almodovar's group is presented in the co-published manuscript, Luck et al. (2019). Although the totality of Ruiz de Almodovar's group's work on CA3 axons is not fully discussed here, it is referenced where noted to provide biological context for our findings on CA3 dendritic development.
VEGFR2 signaling within neurovascular niches is known to play a role in the neurogenesis of neural progenitor cells during embryonic development and within the adult brain. However, the precise localization of neuronal VEGFR2 expression and functional role within the nervous system during postnatal brain development was unknown. To investigate this, we used immunohistochemistry to identify the spatial expression of VEGFR2 within the mouse hippocampus during the first few weeks after birth. Our results showed that VEGFR2 was predominantly expressed within the hippocampal vasculature, consistent with prior studies. However, we also observed localized VEGFR2 expression in pyramidal cell neurons of the hippocampal CA3 region by postnatal day 10 (P10). This spatially restricted postnatal expression of VEGFR2 in CA3 neurons suggested a potential role in the development of these neurons during this developmental stage.
The first two weeks after birth in the mouse hippocampus is a critical period for the development of neuronal circuits, as neurons undergo extensive dendritic arborization and spine formation. To explore the role of VEGFR2 in the postnatal nervous system, we used a Nes-cre VEGFR2lox/- mouse line to target the deletion of VEGFR2 expression within the nervous system while preserving normal receptor expression in all other cell types. We also generated corresponding control mice that were negative for Nes-cre. By breeding these mice with Thy1-GFP reporter mice, we could analyze the functional consequences of VEGFR2 by assessing the morphologies of CA3 dendritic trees and spine density and maturation at P10 and P15, respectively. Our analysis showed that CA3 neurons in Nes-cre VEGFR2lox/- mice had less complex dendritic arbors compared to control mice. There were significant reductions in total length and branch points, particularly in areas located 100-250 μm from the cell soma within the stratum radiatum layer. Additionally, Nes-cre VEGFR2lox/- mice exhibited a significant decrease in spine density accompanied by an increased proportion of immature spines. These findings suggest that VEGFR2 plays a crucial role in the proper development of CA3 dendrites and spines during the early postnatal weeks.
In view of a growing world population and the finite nature of fossil resources, the development of eco-friendly production processes is essential for the transition towards a sustainable industry. Methanol, which can be produced both petrochemically and from renewable resources, offers itself as bridging technology and attractive alternative raw material for biotechnological processes. This work describes developments for the progress of the well-studied methylotrophic α proteobacterium Methylorubrum extorquens AM1 towards an efficient methylotrophic cell factory. Although many homologous and heterologous production routes have already been described and realized for M. extorquens in a laboratory scale, no industrial process has yet been realized. Three major reasons can be identified for this: (1) A limited choice of tools for genetic modifications, (2) a lack of understanding of carbon fluxes and side reactions occurring in modified strains, such as product reimports, and (3) the lack of tailored production strains for profitable target products and optimized bioprocessing protocols. The aim of the present work was to achieve developments for the mentioned areas. As a model application, the high-level production of chiral dicarboxylic acids from the substrate methanol was chosen. Enantiomerically pure chiral compounds are of great interest, e.g., as building blocks for chiral drugs. The ethylmalonyl CoA metabolic pathway (EMCP) which is part of the primary metabolism of M. extorquens, harbors unique chiral CoA-ester intermediates. Their acid derivatives can be released by cleavage of the CoA-moiety using heterologous enzymes. The dicarboxylic acids 2 methylsuccinic acid and mesaconic acid were produced in a previous study by introducing the heterologous thioesterase YciA into M. extorquens. In the said study, a combined product titer of 0.65 g/L was obtained in shake flask experiments. These results serve as the basis for the developments in the present work.
First, the previously described reuptake of products was thoroughly investigated and dctA2, a gene encoding for an acid transporter, was identified as target for reducing the product reuptake. In addition, reuptake of mesaconic acid was prevented by converting it to (S)-citramalic acid, a product not metabolizable by M. extorquens, by the introduction of a heterologous mesaconase. Together with 2-methylsuccinic acid, for which a high enantiomeric excess of (S)-2-methylsuccinic acid was determined, a second chiral molecule was thus added to the product spectrum. For the release of dicarboxylic acid products, YciA, a broad-range thioesterase that accepts a variety of CoA-esters with different chain lengths as substrates, was chosen. The enzyme should theoretically be able to hydrolyze all CoA-esters of interest present in the EMCP. However, in culture supernatants of M. extorquens strains that were overexpressing the corresponding yciA gene, only mesaconic acid and 2 methylsuccinic acid could be detected. To expand the substrate spectrum of YciA thioesterase with respect to other EMCP intermediates, semi-rational enzyme engineering was attempted. Screening of the corresponding strains carrying the respective YciA variants did not result in strains capable of producing new dicarboxylic acid products. However, the experiments revealed an amino acid position that strongly affected the production of mesaconic acid and 2-methylsuccinic acid in vivo. By substituting the according amino acid in YciA, the maximum titers of mesaconic acid and 2-methylsuccinic acid could be increased substantially. Application of an improved thioesterase variant in a second E. coli-based process confirmed the enhanced activity of the enzyme. The desired extension of the product spectrum by another chiral molecule (2-hydroxy-3-methylsuccinic acid, presumably the (2S,3R)-form) was finally achieved by using an alternative thioesterase. Tailored fermentation strategies were developed for the high-level production of the above-mentioned products.
As second part of the work, two novel genetic tools for M. extorquens were developed and characterized. The pBBR1-derived plasmid pMis1_1B was shown to be stably maintained in M. extorquens cells. In addition, its suitability for co-transformations with other plasmids was demonstrated. The second tool, the cumate-inducible promoter Ps6, is tailored for expression of pathways with toxic products, as the transcription of genes controlled by Ps6 is strongly repressed in the absence of an inducer.
Overall, the present work demonstrates the enormous potential of using M. extorquens as a methylotrophic cell factory. In the applications shown, the biotechnological production of high-priced chiral molecules is combined with the use of an attractive alternative substrate. In addition, new achievements and approaches are presented to facilitate the development of future M. extorquens production strains.
Seed dispersal is a key ecosystem function for plant regeneration, as it involves the movement of seeds away from the parental plants to particular habitats where they can germinate and transition to seedlings and ultimately adult plants. Seed dispersal is shaped by a diversity of abiotic and biotic factors, particularly by associations between plants and climate and between plants and other species. Due to the ongoing loss of biodiversity and changing global conditions, such interactions are prone to change and pose a severe threat to plant regeneration. One way to address this challenge is to study associations between plant traits and abiotic and biotic factors to understand the potential impacts of global change on plant regeneration. Plant communities have long been analyzed through the lens of vegetative traits, mainly ignoring how other traits interact and respond to the environment. For instance, while associations between vegetative traits (e.g., specific leaf area, leaf nitrogen content) and climate are well studied, there are few case studies of reproductive traits in relation to trait-environment associations in the context of global change.
Thus, the overarching aim of this dissertation is to explore how trait-environment associations, with a special focus on reproductive traits, can improve our understanding of the effect that global change may have on seed dispersal, and ultimately on plant regeneration. To this end, my research focuses on studying associations between plant traits and abiotic and biotic factors along an elevational gradient in both forests and deforested areas of tropical mountains. This dissertation addresses three principal research objectives.
First, I investigate the extent to which reproductive (seed and fruit traits) and vegetative traits (leaf traits) are related to abiotic and biotic factors for communities of fleshy-fruited plants in the Ecuadorian Andes. I used multivariate analyses to test associations between four (a)biotic factors and seven reproductive traits and five vegetative traits measured on 18 and 33 fleshy fruited plant species respectively. My analyses demonstrate that climate and soil conditions are strongly associated with the distribution of both reproductive and vegetative traits in tropical tree communities. The production of “costly” vs. “cheap” seeds, fruits and leaves, i.e., the production of few rewarding fruits and acquisitive leaves versus the production of many less-rewarding fruits and conservative leaves, is primarily limited by temperature, whereas the size of plant organs is more related to variation in precipitation and soil conditions. My findings suggest that associations between reproductive and vegetative traits and the abiotic environment follow similar principles in tropical tree communities.
Second, I assess how climate and microhabitat conditions affect the prevalence of endozoochorous plant species in the seed rain of tropical montane forests in southern Ecuador. I analyzed seed rain data for an entire year from 162 traps located across an elevational gradient spanning of 2000 m. I documented the microhabitat conditions (leaf area index and soil moisture next to each seed trap) at small spatial scale as well as the climatic conditions (mean annual temperature and rainfall in each plot) at large spatial scale. After a one-year of sampling, I counted 331,838 seeds of 323 species/morphospecies. My analyses demonstrate that the prevalence of endozoochorous plant species in the seed rain increases with temperature across elevations and with leaf area index within elevations. These results show that the prevalence of endozoochory is shaped by the interplay of both abiotic and biotic factors at large and small spatial scales.
Third, I examine the potential of seed rain to restore deforested tropical areas along an elevational gradient in southern Ecuador. For this chapter, I collected seed rain using 324 seed traps installed in 18 1-ha plots in forests (nine forest plots) and in pastures (nine deforested plots) along an elevational gradient of 2000 m. After a sampling period of three months, I collected a total of 123,039 seeds of 255 species/morphospecies from both forests and pastures along the elevational gradient. I did not find a consistent decrease in the amount and richness of seed rain between forests and pastures, but I detected a systematic change in the type of dispersed seeds, as heavier seeds and a higher proportion of endozoochorous species were found in forests compared to pastures at all elevations. This finding suggests that deforestation acts as a strong filter selecting seed traits that are vital for plant regeneration.
Understanding the role that trait-environment associations play in how plant communities regenerate today could serve as a basis for predicting changes in regeneration processes of plant communities under changing global conditions in the near future. Here, I show how informative the measurement of reproductive traits and trait environment associations are in facilitating the conservation of forest habitats and the restoration of deforested areas in the context of global change.
Subject of this thesis was the investigation of the actin-interacting and glucocorticoid-sensitive Protein DRR1 (or Fam107a) and its role in promoting stress resilience in the murine hippocampus.
We proposed the hypothesis that DRR1 through its actin-binding properties specifically modulates neuronal actin dynamics and promotes resilience through synaptic plasticity leading to subsequently improvement of cognitive performance and social behavior. The accompanied AMPA-receptor transport could create an efficient way regulating neural function and complex behavior during stress episodes.
By utilizing fluorescent immunohistochemistry, we showed basal expression of DRR1 primarily in the murine cerebellum and hippocampal CA3 and CA1 area. Co-staining with different cell marker proteins showed DRR1 expression in neurons, microglia and especially in astrocytic end-feet, which create contact to the brain vasculature.
To test whether DRR1 and AMPA receptor function correlate to modulate stress-associated consequences, primary hippocampal neuron cultures were transduced with adeno-associated virus (AAV) for overexpression or suppression of the protein. Western Blot analysis showed a positive correlation between the AMPA-receptor subunit GluR2 and DRR1 amounts. Further the application of the proximity ligation assay (PLA) in untreated neural cultures indicated interaction between DRR1 and the AMPA receptor subunit GluR2. To address whether DRR1 even affects AMPAR trafficking we performed the “newly inserted assay” after AAV-treatment of primary hippocampal neuron cultures. Suppression of DRR1 revealed less newly inserted GluR2 subunits as compared to controls. Inconclusive were the results upon DRR1 overexpression, however they point to no changes.
In the second part we correlated behavioral phenotypes originating from in vivo overexpression and suppression of DRR1 in the murine hippocampus with potential alterations in neuronal morphology. Therefore, in vitro analysis was performed utilizing AAV transduced primary hippocampal cultures overexpressing or suppressing DRR1. Synchronously the viral vector included a green fluorescent protein (GFP) being expressed throughout the complete neural cell. GFP staining was used to verify successful transfection and for reconstruction of dendritic arbors and dendritic stretches for spine classification. DRR1 suppression showed reduced total spine numbers especially evoked by reduced numbers of immature spine classes – namely long thin spines and filopodia. Whereas mature mushroom spines and stubby spines were unaffected. By overexpressing DRR1, tendencies inclined against higher total dendritic lengths, branch points and increased dendritic arbors in comparison to controls. In regard of spines, total numbers were unaffected. However, mature mushroom spines were significantly declined in numbers, but compensated by increased numbers of immature long thin spines and filopodia.
Chronic social defeat stress (CSDS) is widely used in mouse models to study the effects of stress and resilience. We exposed C57Bl/6J mice expressing GFP under the Thy1 promoter CSDS and categorized them into resilient (R+/-), susceptible (R-/-) and non-learning (R+/+) mice following a modified social interaction test (MSIT). We found alterations in CA1 spine compositions with resilient animals resembling the untreated phenotype. Stress susceptible and non-learning animals displayed reduced numbers in stubby spines with simultaneous increases in mature mushroom spines. In addition, we could detect a tendency towards more immature spines in susceptible animals and non-learners, mirroring our in vitro results.
Finally, we present a different investigative approach in this thesis. Sequenced acute stress was previously found to compromise cognition including spine loss.
We aimed to investigate the implication of acute stress on DRR1 levels and its occurrence in diverse cell types of the brain. We subjected one group of C57Bl/6J mice to acute stress and injected another group with the artificial glucocorticoid DEX. Six hours post stress, animals were perfused and brains were subsequently immunobiologically analyzed. We found DRR1 protein levels elevated in the hippocampus of stressed and DEX-treated animals compared to controls. Interestingly, DRR1 seemed was especially elevated in endothelial cells. This coincides with our investigations finding DRR1 present in astrocytic end-feet under basal conditions and might claim a participation of DRR1 in the blood-brain-barrier integrity.
Our results show DRR1 as actin-interacting and glucocorticoid-sensitive gene affecting structural plasticity of hippocampal spines. Moreover, DRR1 directly interacts with AMPA glutamate receptors and presumably is involved in AMPA trafficking to the postsynaptic membrane. In addition, this study could demonstrate that DRR1 is expressed by other cell types of the brain. Of special interest is DRR1’s occurrence in astrocytic end-feet and endothelial cells suggesting a role as integrator of cell-cell communication and to this end also acting as modifier of stress-induced consequences at the neurovascular unit.
In vivo data of chronically stressed mice displayed no phenotypic differences in hippocampal pyramidal neurons of resilient animals as compared to unstressed mice. Morphological alterations of spine structures were particularly visible in stress susceptible and non-learning animals. Integrating our findings with existing behavioral data, we can conclude that DRR1 plays a role in stress resilience whereby it needs to be expressed in a tightly managed homeostatic equilibrium.
The functional and molecular role of transglutaminase 2 in hematopoietic stem and progenitor cells
(2023)
Long-term repopulating hematopoietic stem cells (LT-HSCs) that reside in the bone marrow (BM) give rise to all blood cell types including erythrocytes, leukocytes and platelets. LT-HSCs are mainly quiescent during steady state hematopoiesis. LT-HSCs can process self-renewal to expand and maintain stemness, or commit to differentiation into short-term (ST) repopulating HSC and multipotent progenitors (MPPs). MPPs differentiate into oligopotent lineagerestricted progenitors which eventually produce all mature blood cell lineages, and thereby regenerate hematopoietic system.
Previous studies have shown in transcription profiles and quantitative PCR (qPCR) analysis that transglutaminase 2 (Tgm2) is one of the most upregulated genes in quiescent LT-HSCs in comparison to active HSCs, mobilized HSCs, ST-HSCs, MPPs, as well as leukemic stem cells (LSC). However, the reason why Tgm2 is strongly upregulated in dormant mouse LTHSCs and what the role of Tgm2 is in LT-HSCs has not been investigated yet.
Tgm2, encoded by the Tgm2 gene, is a multi-functional protein within the transglutaminase family. It has been found to be widely expressed inside and outside the cells. It consists of four domains and two functionally exclusive forms that are regulated by the Ca2+ and GTP concentration. Besides the most well-known transglutaminase enzymatic activity for transamidation, deamidation and crosslinking, Tgm2 acts also as a GTPase/ATPase, kinase, adhesion/scaffold protein, as well as disulfide isomerase. The role of Tgm2 in hematopoiesis remains elusive. Accordingly, the aim of this dissertation is to investigate the role of Tgm2 in murine hematopoiesis, especially in murine LT-HSCs.
Firstly, the expression of Tgm2 was analyzed in highly purified murine hematopoietic stem and progenitor cell (HSPC) populations. Low input label-free mass spectrometric proteomics and WES protein analysis confirmed the highly specific expression of Tgm2 in LT-HSCs at protein level. Already at the state of MPPs, Tgm2 protein was almost absent with further decline towards oligopotent progenitors. These results indicated Tgm2 as a specific protein marker for LT-HSCs, justifying the future generation of a fluorescent reporter mouse line based on endogenous Tgm2 tagging.
To delineate the functional and molecular role of Tgm2 in LT-HSCs, a conditional Tgm2 knockout mouse model was generated using the Mx1-Cre/loxP system, with the loxP sites flanking the coding exons of the catalytic domain of Tgm2. After PolyIC-mediated induction, a more than 95% knockout efficiency was observed in purified LT-HSCs and the protein expression of Tgm2 was confirmed to be vanished in the purified LT-HSCs from conditional Tgm2-KO mice. Conditional knockout mice are viable and show no aberrant organ functions.
In steady state condition, the distribution of mature blood cell lineages and immunophenotypically-defined HSPC populations within the BM, the mitochondrial potential of HSPCs reflected by the non-invasive cationic dye JC-1, as well as the cell cycle status of HSPCs mirrored by the intracellular Ki67 staining did not show any significant variations upon loss of Tgm2. However, the in vitro continuous observation of prospectivly isolated LT-HSCs by time-lapse microscopy-based cell tracking revealed a delayed entry into cell cycle with a two fold increased apoptosis rate after knocking out Tgm2, indicating Tgm2 expression might be essential for survival of LT-HSCs. Moreover, while the absence of Tgm2 in LT-HSCs did not influence differentiation and lineage choice in vitro, overexpression of Tgm2 in LT-HSCs resulted in an increase of the most immature subpopulation upon cultivation. All these features were not observed in Tgm2-deleted MPPs, suggesting Tgm2 playing a specific function at the level of LT-HSCs. Upon stress hematopoiesis, induced by the administration of 5-fluorouracil (5-FU), there was a trend towards delayed recovery of LT-HSCs lacking Tgm2. Although Tgm2 express specificly in LT-HSCs, two rounds of competitive BM serial transplantation displayed an equal overall engraftment and multi-lineage reconstitution of LT-HSCs from Tgm2-WT and Tgm2-KO mice in peripheral blood (PB), BM and spleens. Interestingly, LT-HSCs from Tgm2-KO mice reconstituted to more myeloid cells and fewer B cells in the first four weeks after primary transplantation, which disappeared at later time points.
Gene expression profiling and simultaneous single cell proteo-genomic profiling indicated that HSPCs and LT-HSCs from Tgm2-KO mice were transcriptionally more active. A heterogeneity of Tgm2 expression within Tgm2-WT LT-HSCs was revealed by single cell data. Commonly up-regulated genes in Tgm2-KO LT-HSCs and MPPs were significantly involved in regulation of transcription from RNA polymerase II promoter in response to stress, positive regulation of cell death as well as negative regulation of mitogen-activated protein kinase (MAPK) signaling pathways. In Tgm2-KO LT-HSCs, 136 up-regulated genes demonstrated an enrichment of genes involved in apoptosis, as well as negative regulation of MAPK signaling pathway.
Taken together, this dissertation shows that Tgm2 protein is highly specifically expressed in LT-HSCs, but not in subsequent progenitor populations. However, Tgm2 is not essential for differentiation and maturation of myeloid lineages, the proliferation and the long-term multilineage reconstitution potential of LT-HSCs after transplantation. Tgm2 might be involved in accurate stress response of LT-HSCs and the transition from LT-HSCs into MPPs, meaning that the absence of Tgm2 results in poor survival, myeloid bias upon transplantation, as well as slower recovery upon chemotherapeutic treatment.
Sphingolipids are not only structural components of cell membranes but can also act as signalling molecules in different pathways. Sphingolipid precursors, Ceramides (Cer), are synthesized de novo by six different synthases (CerS1-6) which generate Cer of different chain lengths. Cer can be further synthesized to glycosphingolipids and sphingomyelin. Cell membrane parts that are enriched in glycosphingolipids are so-called lipid rafts and can function as signalling platforms for different receptors, such like the T cell receptor (TCR). CD4+ T cells play a crucial role in the development of ulcerative colitis, a chronic inflammatory disease of the colon. As CerS3 expression was increased in the white blood cells of human colitis patients, the role of CerS3 in the TCR signalling and colitis was investigated in this dissertation. By lenti-viral transduction of a CerS3-shRNA into a CD4+ Jurkat cell line, it was shown that CerS3 has an impact on activated T cells. A decrease of different sphingolipids after T cell activation via CD2/3/28 activation beads and IL2 treatment was observed that was accompanied by an inhibition of Zap70 phosphorylation, an important protein of the TCR signalling. The impaired TCR signalling led to a diminished NFAT1 translocation into the nucleus which subsequently led to a reduced NFAT1- dependent TNFα release. Downregulation of CerS3 in primary CD4+ T cells, obtained from the blood of healthy volunteers, also showed a reduced release of pro-inflammatory cytokines after activation. This dissertation demonstrates a pivotal role for CerS3 in T cell function and highlights CerS3 as potential new target for T cell driven colitis.
For thousands of years, S. cerevisiae has been employed by humans in brewing and baking. Nowadays, this budding yeast is more than that: it is a well investigated model organism and an established workhorse in biotechnology. S. cerevisiae serves as a production host for various applications such as i) bioethanol production ii) the biosynthesis of hormones including insulin or iii) cannabinoid biosynthesis. Hereby, the robustness of S. cerevisiae and its high tolerances regarding pH and salt concentrations qualifies it for a wide range of industrial applications. Moreover, products of S. cerevisiae are generally recognised as safe (GRAS), enabling diverse biotechnological applications. Various mechanisms for genetic engineering of S. cerevisiae are applicable and the engineering process itself is straightforward since methods are established and widely known. Due to the wide range of industrial applications of S. cerevisiae, this organism is an ideal candidate for applied research and implementation of the recombinant biosynthesis of tocochromanols in this study.
Tocochromanols encompass tocotrienols and tocopherols, which are lipid-soluble compounds that are commonly associated with vitamin E activity. Hereby, α-tocopherol is the most prevalent form, as it is an essential nutrient in the diet of humans and animals. Naturally, tocochromanols are almost exclusively synthesised by photoautotrophic organisms such as plants or cyanobacteria. They consist of an aromatic head group and a polyprenyl side chain which is saturated in tocopherols and 3-fold unsaturated in tocotrienols. The methylation status of the chromanol ring distinguishes α-, β-, γ- and δ-tocochromanol. All forms of tocochromanols represent a group of powerful antioxidants, scavenging reactive oxygen species (ROS) and preventing the propagation of lipid oxidation in lipophilic environments. Recently, attention has been drawn to tocotrienols, due to their benefits in neuroprotection as well as cholesterol-lowering and anti-cancer properties. Consequently, tocochromanols are valuable additives in the food, feed, cosmetic and pharmaceutical industries.
The metabolic engineering strategy of S. cerevisiae to enable tocochromanol biosynthesis was started in a preceding master thesis with the provision of the aromatic moiety, homogentisic acid (HGA), from the aromatic amino acid biosynthesis. Hereby, the upregulation and redirection of the native pathway was essential. Therefore, a strain with an engineered aromatic amino acid pathway for improved 4 hydroxyphenylpyruvate (HPP) production (MRY33) was utilised from Reifenrath and Boles (2018). Furthermore, a heterologous hydroxyphenylpyruvate dioxygenase (HPPD) was required to convert HPP into HGA. Thus, several heterologous HPPDs were expressed and characterised regarding their HGA production within the previous study. The best variant originated from Yarrowia lipolytica, YlHPPD, and was integrated into the genome of MRY33. The resulting strain JBY2, produced 435 mg/L HGA in a shake flask fermentation.
This work was started with the genetically highly modified strain JBY2, whose genome already contained a large number of genes artificially expressed behind strong promoters. For further strain development, it was advantageous to maintain a high degree of sequence variability in order to prevent genomic instabilities due to sequence homologies. Thus, 17 artificial promoters (AP1-AP17) were characterised regarding their strength of expression by the yellow fluorescent protein (YFP). These sequences were also part of a patent that was filed during this work (WO2023094429A1).
The key point of this study was the development of a metabolic engineering strategy for the strain JBY2. First, the sufficient supply of the second precursor, the polyprenyl side chain, was investigated. Natively, S. cerevisiae produces the precursor, geranylgeranyl diphosphate (GGPP), from the isopentenyl diphosphate pathway. However, without further engineering, GGPP was barely detectable in JBY2 (< 0.1 mg/L). Thus, engineering of the isopentenyl diphosphate biosynthesis was necessary. The limiting enzyme of the mevalonate pathway was the 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR), which is encoded by HMG1. Therefore, a truncation for feedback-resistance and its overexpression by a promoter exchange was performed. Furthermore, the promoter of the gene for the squalene synthase (pERG9) was exchanged by the ergosterol sensitive promoter pERG1 to limit the metabolic flux of the mevalonate pathway into the ergosterol pathway. The native GGPP synthase (BTS1) was another limitation that was observed throughout this study. To overcome this bottleneck, plasmid-based and integrative overexpression of the native BTS1 and a codon optimised BTS1 were investigated. Other strategies to improve GGPP production were the deletion of the gene for the diacylglycerol pyrophosphate phosphatase (DPP1) to prevent excessive dephosphorylation of GGPP to geranylgeraniol (GGOH), and the overexpression of the farnesyl pyrophosphate synthetase, encoded by ERG20. However, the best improvements of the GGPP biosynthesis, inferred through GGOH measurements, were achieved from the screening of several heterologous GGPP synthases in S. cerevisiae. The best performing strain was JBY61 (JBY2, hmg1Δ::pTDH3-HMG1tr[1573–3165], pERG9Δ::pERG1, ChrIV-49293-49345Δ::pTDH3-XdcrtE-tSSA1_LEU2), bearing the heterologous GGPP synthase crtE of Xanthophyllomyces dendrorhous and produced 64.23 mg/L GGOH. Consequently, this engineering strategy improved the GGOH production by a factor of 642 compared to the parent strain JBY2.
Methylorubrum extorquens is an important model methylotroph and has enormous potential for the development of C1-based microbial cell factories. During strain construction, regulated promoters with a low background expression level are important genetic tools for expression of potentially toxic genes. Here we present an accordingly optimised promoter, which can be used for that purpose. During construction and testing of terpene production strains harbouring a recombinant mevalonate pathway, strong growth defects were observed which made strain development impossible. After isolation and characterisation of suppressor mutants, we discovered a variant of the cumate-inducible promoter PQ2148 used in this approach. Deletion of 28 nucleotides resulted in an extremely low background expression level, but also reduced the maximal expression strength to about 30% of the original promoter. This tightly repressed promoter version is a powerful module for controlled expression of potentially toxic genes in M. extorquens.
Baleen whales (Mysticeti) are a clade of highly adapted carnivorous marine mammals that can reach extremely large body sizes and feature characteristic keratinaceous baleen plates used for obligate filter feeding. From a conservation perspective, nearly all baleen whale species were hunted extensively over a roughly 100 years lasting time period that depleted many of the respective whale stocks with so far unknown consequences for e.g. their molecular viability. From an evolutionary perspective, the lack of fossil records together with conflicting molecular patterns resulted in a still unclear and debated phylogeny of modern baleen whales, particularly in rorquals (Balaenopteridae). In this dissertation, I will demonstrate the application of baleen whale genomes to tackle these open questions by using modern approaches of conservation and evolutionary genomics.
Conservation genomic aspects of baleen whales were addressed in two projects, both using whole genome data of either an Icelandic fin whale (Balaenoptera physalus) population or multiple blue whale (Balaenoptera musculus) populations to evaluate the impact of the industrial whaling era on their molecular viability. The results suggest a substantial drop in effective population size of both species but also a lack of manifestation in genotypes of the fin whale population when compared to the blue whale populations. Especially the rare and short runs of homozygosity (ROH), usually indicative for inbreeding, suggest frequent outcrossing in fin whales while all analyzed blue whale populations featured long and frequent ROH. In addition to these analyses, genome data of blue whale populations was further used to evaluate if northern hemisphere blue whales diverged into different subspecies. Population genetic and gene flow analyses showed clearly separated and well isolated populations in accordance with their assumed geographical distance. In contrast, the genome-wide divergence between all blue whale populations was low compared to other cetacean populations and to the next closely related sei whale species. Because this includes the morphologically different and well recognized pygmy blue whale subspecies, a proposal was made to equally categorize the two northern-hemisphere blue whale populations as subspecies.
Evolutionary aspects were addressed in a third project, by constructing the genome of the pygmy right whale (Caperea marginata) and testing its potential in phylogenetics and cancer research. Phylogenomic analyses using fragments of a whole-genome alignment featuring nearly all extant baleen whales, allowed the revision of the complex evolutionary relationships of rorquals by quantifying and characterizing the amounts of conflicts in early diverging branches. These relationships were further used to identify phylogenetically independent pairs of baleen whales with a maximum of diverging body size differences to compare rates of positive selection between their genomes. The results suggest nearly evenly distributed frequencies of alternative topologies which supports the representation of the early divergence of rorquals as a hard polytomy with high amounts of introgression and incomplete lineage sorting. Within the set of available genomic data, three independent pairs of baleen whales with diverging body sizes were found and comparisons of positive selection rates resulted in many potentially body size and cancer related genes. The lack of conserved selection patterns, however, suggest a more convergent evolution of size and cancer resistance like previously discussed in paleontology.
In conclusion, the application of whole genome data using methods of conservation genetics allowed for a comprehensive estimation about the molecular viability of blue and fin whales as well as an assessment of the taxonomic status of northern-hemisphere blue whale populations. The rather different results between blue and fin whales underlines the importance of genomic monitoring of baleen whales because different species show rather different molecular consequences of their potentially varying depletions. Furthermore, as showcased for the northern-hemisphere blue whale, many important isolated populations of baleen whales may still be unknown to conservation management and genome-wide comparisons will most likely contribute to overcome this under-classification problem. The application of whole genome data in evolutionary research allowed the characterization of the complex patterns of molecular conflicts within baleen whales and especially rorquals that will contribute to the still rather unclear understanding of their evolution. The here found molecular support for the idea of convergent evolution of gigantism in whales will further guide the search for molecular patterns responsible for Peto’s paradox.
The toxicity of microplastics on Daphnia magna as a key model for freshwater zooplankton is well described. While several studies predict population-level effects based on short-term, individual-level responses, only very few have validated these predictions experimentally. Thus, we exposed D. magna populations to irregular polystyrene microplastics and diatomite as natural particle (both ≤ 63 μm) over 50 days. We used mixtures of both particle types at fixed particle concentrations (50,000 mL-1) and recorded the effects on overall population size and structure, the size of the individual animals, and resting egg production. Particle exposure adversely affected the population density and structure, and induced resting egg production. The terminal population size was 28–42% lower in exposed compared to control populations. Interestingly, mixtures containing diatomite induced stronger effects than microplastics alone, highlighting that natural particles are not per se less toxic than microplastics. Our results demonstrate that an exposure to synthetic and natural particles has negative population-level effects on zooplankton. Understanding the mixture toxicity of microplastics and natural particles is important given that aquatic organisms will experience exposure to both. Just as for chemical pollutants, better knowledge of such joint effects is essential to fully understand the environmental impacts of complex particle mixtures.
Environmental Implications While microplastics are commonly considered hazardous based on individual-level effects, there is a dearth of information on how they affect populations. Since the latter is key for understanding the environmental impacts of microplastics, we investigated how particle exposures affect the population size and structure of Daphnia magna. In addition, we used mixtures of microplastics and natural particles because neither occurs alone in nature and joint effects can be expected in an environmentally realistic scenario. We show that such mixtures adversely affect daphnid populations and highlight that population-level and mixture-toxicity designs are one important step towards more environmental realism in microplastics research.
Gravitropism is a fundamental process in plants that allows shoots to grow upward and roots to grow downward. Protein phosphorylation has been postulated to participate in the intricate signaling cascade of gravitropism. In order to elucidate the underlying mechanisms governing the gravitropic signaling and unearth novel protein constituents, an exhaustive investigation employing microgravity-induced phosphoproteomics was undertaken. The significantly phosphorylated proteins unraveled in this study can be effectively divided into two groups through clustering analysis. Furthermore, the elucidation of Gene Ontology (GO) enrichment analysis disclosed the conspicuous overrepresentation of these clustered phosphoproteins in cytoskeletal organization and in hormone-mediated responses intimately intertwined with the intricate phenomenon of gravitropism. Motif enrichment analysis unveiled the overrepresentation of [-pS-P-] and [-R-x-x-pS-] motifs. Notably, the [-pS-P-] motif has been suggested as the substrate for the Casein kinase II (CK II) and Cyclin-dependent kinase (CDK). Kinase-inhibitor assays confirmed the pivotal role played by CK II and CDK in root gravitropism. Mutant gravitropism assays validated the functional significance of identified phosphoproteins, with some mutants exhibiting altered bending kinetics using a custom-developed platform. The study also compared phosphoproteomics data from different platforms, revealing variations in the detected phosphopeptides and highlighting the impact of treatment differences. Furthermore, the involvement of TOR signaling in microgravity-induced phosphorylation changes was uncovered, expanding the understanding of plant gravitropism responses.
To fulfill the large-scale verification of interesting candidates from the phosphoproteomics study, a novel root and hypocotyl gravitropism phenotyping platform was developed. This platform integrated cost-effective hardware, including Raspberry Pi, a high-quality camera, an Arduino board, a rotation stage (obtained from Prof. Dr. Maik Böhmer), and programmable green light (modified by Sven Plath). In addition, through collaboration with a software developer, machine-learning-based software was developed for data analysis. This platform tested the gravitropic response of candidate mutants identified in the phosphoproteomics study. Furthermore, the capabilities of this platform were expanded to investigate tropisms in other species and organs. To find novel proteins that might act as partners of a key protein that is involved in gravitropism signaling, ALTERED RESPONSE TO GRAVITY 1 (ARG1), immunoprecipitation coupled with Mass Spectrometry (IP-MS) was performed and identified ARG1-LIKE1 (ARL1) as a potential interacting protein with ARG1. This interaction was further confirmed through in vivo pull-down assays and bimolecular fluorescence complementation assays. In addition, the interaction between ARG1 and HSP70-1 was also validated.
Overall, this thesis sheds light on the molecular components and signaling events involved in plant gravitropism. It contributes to existing knowledge and opens up new ways to investigate this fascinating area of plant biology.
Branching allows neurons to make synaptic contacts with large numbers of other neurons, facilitating the high connectivity of nervous systems. Neuronal arbors have geometric properties such as branch lengths and diameters that are optimal in that they maximize signaling speeds while minimizing construction costs. In this work, we asked whether neuronal arbors have topological properties that may also optimize their growth or function. We discovered that for a wide range of invertebrate and vertebrate neurons the distributions of their subtree sizes follow power laws, implying that they are scale invariant. The power-law exponent distinguishes different neuronal cell types. Postsynaptic spines and branchlets perturb scale invariance. Through simulations, we show that the subtree-size distribution depends on the symmetry of the branching rules governing arbor growth and that optimal morphologies are scale invariant. Thus, the subtree-size distribution is a topological property that recapitulates the functional morphology of dendrites.
The establishment and maintenance of protected areas (PAs) is viewed as a key action in delivering post-2020 biodiversity targets. PAs often need to meet multiple objectives, ranging from biodiversity protection to ecosystem service provision and climate change mitigation, but available land and conservation funding is limited. Therefore, optimizing resources by selecting the most beneficial PAs is vital. Here, we advocate for a flexible and transparent approach to selecting protected areas based on multiple objectives, and illustrate this with a decision support tool on a global scale. The tool allows weighting and prioritization of different conservation objectives according to user-specified preferences, as well as real-time comparison of the selected areas that result from such different priorities. We apply the tool across 1347 terrestrial PAs and highlight frequent trade-offs among different objectives, e.g., between species protection and ecosystem integrity. Outputs indicate that decision makers frequently face trade-offs among conflicting objectives. Nevertheless, we show that transparent decision-support tools can reveal synergies and trade-offs associated with PA selection, thereby helping to illuminate and resolve land-use conflicts embedded in divergent societal and political demands and values.
The toxicity of microplastics on Daphnia magna as a key model for freshwater zooplankton is well described. While several studies predict population-level effects based on short-term, individual-level responses, only very few have validated these predictions experimentally. Thus, we exposed D. magna populations to irregular polystyrene microplastics and diatomite as natural particle (both ≤ 63 μm) over 50 days. We used mixtures of both particle types at fixed particle concentrations (50,000 particles mL-1) and recorded the effects on overall population size and structure, the size of the individual animals, and resting egg production. Particle exposure adversely affected the population size and structure and induced resting egg production. The terminal population size was 28–42% lower in exposed compared to control populations. Interestingly, mixtures containing diatomite induced stronger effects than microplastics alone, highlighting that natural particles are not per se less toxic than microplastics. Our results demonstrate that an exposure to synthetic and natural particles has negative population-level effects on zooplankton. Understanding the mixture toxicity of microplastics and natural particles is important given that aquatic organisms will experience exposure to both. Just as for chemical pollutants, better knowledge of such joint effects is essential to fully understand the environmental impacts of complex particle mixtures.
Environmental Implications While microplastics are commonly considered hazardous based on individual-level effects, there is a dearth of information on how they affect populations. Since the latter is key for understanding the environmental impacts of microplastics, we investigated how particle exposures affect the population size and structure of Daphnia magna. In addition, we used mixtures of microplastics and natural particles because neither occurs alone in nature and joint effects can be expected in an environmentally realistic scenario. We show that such mixtures adversely affect daphnid populations and highlight that population-level and mixture-toxicity designs are one important step towards more environmental realism in microplastics research.
Bacterial biosynthetic assembly lines, such as non-ribosomal peptide synthetases (NRPS) and polyketide synthases, are often subject of synthetic biology – because they produce a variety of natural products invaluable for modern pharmacotherapy. Acquiring the ability to engineer these biosynthetic assembly lines allows the production of artificial non-ribosomal peptides (NRP), polyketides, and hybrids thereof with new or improved properties. However, traditional bioengineering approaches have suffered for decades from their very limited applicability and, unlike combinatorial chemistry, are stigmatized as inefficient because they cannot be linked to the high-throughput screening platforms of the pharmaceutical industry. Although combinatorial chemistry can generate new molecules cheaper, faster, and in greater numbers than traditional natural product discovery and bioengineering approaches, it does not meet current medical needs because it covers only a limited biologically relevant chemical space. Hence, methods for high-throughput generation of new natural product-like compound libraries could provide a new avenue towards the identification of new lead compounds. To this end, prior to this work, we introduced an artificial synthetic NRPS type, referred to as type S NRPS, to provide a first-of-its-kind bicombinatorial approach to parallelized high-throughput NRP library generation. However, a bottleneck of these first two generations of type S NRPS was a significant drop in production yields. To address this issue, we applied an iterative optimization process that enabled titer increases of up to 55-fold compared to the non-optimized equivalents, restoring them to wild-type levels and beyond.
In humans, screams have strong amplitude modulations (AM) at 30 to 150 Hz. These AM correspond to the acoustic correlate of perceptual roughness. In bats, distress calls can carry AMs, which elicit heart rate increases in playback experiments. Whether amplitude modulation occurs in fearful vocalisations of other animal species beyond humans and bats remains unknown. Here we analysed the AM pattern of rats’ 22-kHz ultrasonic vocalisations emitted in a fear conditioning task. We found that the number of vocalisations decreases during the presentation of conditioned stimuli. We also observed that AMs do occur in rat 22-kHz vocalisations. AMs are stronger during the presentation of conditioned stimuli, and during escape behaviour compared to freezing. Our results suggest that the presence of AMs in vocalisations emitted could reflect the animal’s internal state of fear related to avoidance behaviour.
Engineering of thioesterase YciA from Haemophilus influenzae for production of carboxylic acids
(2023)
Acyl-CoA-thioesterases, which hydrolyze acyl-CoA-esters and thereby release the respective acid, have essential functions in cellular metabolism and have also been used to produce valuable compounds in biotechnological processes. Thioesterase YciA originating from Haemophilus influenzae has been previously used to produce specific dicarboxylic acids from CoA-bound intermediates of the ethylmalonyl CoA pathway (EMCP) in Methylorubrum extorquens. In order to identify variants of the YciA enzyme with the capability to hydrolyze so far inaccessible CoA-esters of the EMCP or with improved productivity, we engineered the substrate-binding region of the enzyme. Screening a small semi-rational mutant library directly in M. extorquens yielded the F35L variant which showed a drastic product level increase for mesaconic acid (6.4-fold) and 2-methylsuccinic acid (4.4-fold) compared to the unaltered YciA enzyme. Unexpectedly, in vitro enzyme assays using respective M. extorquens cell extracts or recombinantly produced thioesterases could not deliver congruent data, as the F35L variant showed strongly reduced activity in these experiments. However, applied in an Escherichia coli production strain, the protein variant again outperformed the wild-type enzyme by allowing threefold increased 3-hydroxybutyric acid product titers. Saturation mutagenesis of the codon for position 35 led to the identification of another highly efficient YciA variant and enabled structure-function interpretations. Our work describes an important module for dicarboxylic acid production with M. extorquens and can guide future thioesterase improvement approaches.
Anthropogenic interventions have altered all ecosystems around the world. One of those ecosystems are forests, the main resource for timber. They have been strongly transformed in their structure with large consequences on forest biodiversity. Especially the decrease in dead-wood volume due to the timber extraction and alternation of natural forest structures with even-aged stands of less diverse tree species composition has put especially saproxylic, i.e., dead-wood dependent species, under threat, which comprise about 20% of all forest species. Beetles, fungi and bacteria are three functional important groups for decomposition processes but we still lack much information about their sampling and the drivers of their diversity, thus it is difficult to comprehensively protect their diversity. Saproxylic fungi are a highly diverse species group and the main drivers of dead-wood decomposition; hence they play a major role in the global carbon cycle. Due to their cryptic lifestyle, many species are still unknown, but the recent advances in environmental DNA barcoding methods (metabarcoding) shed light on the formerly underestimated diversity. Yet, this method's accuracy and suitability in detecting specific species have not been assessed so far, limiting its current usefulness for species conservation. On the other hand, these methods are a convenient tool to study highly diverse areas with high numbers of unknown species, enabling the study of global diversity and its drivers, which are unknown for saproxylic fungi, but important to assess to predict the future impacts of global change. Since nature conservation concepts are usually not applied on a global scale, the drivers of diversity must also be assessed on smaller scales. Besides understanding the drivers of diversity, to identify focus scales to create comprehensive, evidence-based conservation concepts must utilize multi-taxonomic studies since saproxylic species are differently sensitive towards environmental variables and closely interact with each other. Filling these knowledge gaps is utterly needed to protect the high saproxylic diversity and ensure the functional continuity of decomposition processes, especially regarding the global change.
To address the usefulness of metabarcoding for fungal species conservation, I compared the traditional method of fruit body sampling with metabarcoding and their efficiency in detecting threatened fungal species in the first chapter of this thesis. Both methods have advantages and disadvantages. Their ability to detect threatened saproxylic fungal species and their dependencies on detecting specific fungal groups have not been compared, albeit they are important to inform species conservation like Red Lists properly. I found metabarcoding to generally detect more threatened fungal species than fruit body sampling with a higher frequency than fruit body sampling. Moreover, fruit body sampling detected a unique set of species, while fruit body sampling missed large parts of fungal diversity due to species-specific fruiting characteristics. Metabarcoding with high sampling intensity is thus a viable method to assess threatened saproxylic fungal diversity and inform nature conservation like Red Lists about distribution and abundances. Nevertheless, a complementary approach with fruit body sampling is indispensable for assessing all threatened fungal species.
In order to analyse the global diversity of saproxylic fungi and its drivers, I examined whether fungal species richness increases from the poles towards the equator and thus follows the latitudinal diversity gradient already found in many other species groups. I further investigated whether such an increase is caused by increasing ecological specialisation, i.e., niche partitioning, or local tree diversity, i.e., niche space. Gamma diversity per biome increased from the boreal, over the temperate to the tropics and thus confirmed the latitudinal diversity for saproxylic fungi. Contrastingly, alpha diversity at the log level did not significantly increase towards the tropics, suggesting a grain size dependency of the observed pattern and an equal niche space within dead-wood across latitudes. Ecological specialisation on the plot level was globally on a high level but did not increase significantly towards the equator. Additionally, I found local tree species richness to drive plot-based fungal diversity. Further analysis of gamma diversity against the total number of sampled tree species strengthened the assumption that tree species diversity and not increased ecological specialisation was the main driver of the latitudinal diversity gradient, as there was no significant difference between the gamma diversity of the temperate and tropical biome. Nonetheless, as the gamma diversity of the boreal biome was still significantly smaller, my results do not allow a complete neglection of the ecological specialisation hypothesis. The overall results indicate a strong dependency of saproxylic fungi diversity with host tree species diversity and that the global loss of tree species threatens saproxylic fungi with an unpredictable impact on carbon and nutrient cycling.
To support saproxylic conservation, I conducted two analyses. First, I compared the beta diversity of the three main decomposer groups (beetles, fungal fruit bodies, mycelial fungi (metabarcoding), and bacteria (metabarcoding)) across different scales to assess the impact of different environmental variables on their overall diversity. I used an experimental design to disentangle two different spatial scales, influenced by differences in macroclimate, forest microclimate and spatial distance, and two host scales, driven by differences between tree lineages and tree species. I set these beta diversities in relation to the gamma diversity of the three main decomposer groups to identify whether a unified conservation concept could be applied to one scale to optimally protect the diversity of all three species groups. Second, I identified whether diversity and community composition of fungi and bacteria differed among climate and land use gradients. Further I explored whether specialisation and niche packing could explain the expected pattern. To do so I used an experimental design disentangling climate and land use across a large gradient in Germany. The results differed among the species groups, denying a unified conservation concept focusing on one scale. Saproxylic beetle and fruit body beta diversity was equally high on each scale, as they are more sensitive towards environmental factors like macro- and microclimate. On the other hand, mycelial fungi and bacteria beta diversity was highest on the host scale, especially the host tree scale, indicating a high host specificity of the two groups. The second study also identified tree species as the main driver of diversity and community composition of these two study groups. Specialisation of fungi was not influenced by land use or climate. Bacterial specialisation and diversity were under a strong influence of mean precipitation. Comprehensive conservation of multi-taxonomic diversity across regions thus requires the integration of several scales. Within different macroclimatic regions, forests of varying microclimates, i.e., forest management, must be implemented. In these forests, dead-wood of different tree lineages, i.e., angio- and gymnosperms and tree species, must be provided.
Taken together, I could demonstrate that metabarcoding is an efficient method to sample threatened fungal species and identify differing drivers of fungal diversity present as fruit bodies or mycelium. Its usefulness will further increase due to the ongoing improvement of sequencing databases and thus better inform conservation concepts. Using metabarcoding, I could demonstrate that high host specialisation of saproxylic fungi is not a European but a global phenomenon and identify tree species loss under global change as one major concern for saproxylic diversity. My dissertation further highlighted the importance of multi-taxonomic studies for evidence-based nature conservation, as different species groups require varying concepts. These results were especially important for saproxylic bacteria as the drivers of their diversity are still largely unknown. Howbeit, large research gaps still exist regarding the impacts of global change on species and processes. Moreover, the spatial coverage of studies is needed to confirm or neglect the generality of current research especially concerning the highly diverse tropical areas. An increased focus on the drivers of diversity in these areas is crucial to ensure a globally comprehensive saproxylic conservation and the various ecosystem functions they control.
Influenza is a contagious respiratory disease caused by influenza A and influenza B viruses. The World Health Organisation (WHO) reports that annual influenza epidemics result in approximately 1 billion infections, 3 to 5 million severe cases, and 300 to 650 thousand deaths. Understanding hidden mechanisms that lead to optimal vaccine efficacy and improvement antiviral treatment strategies remain continuous and central tasks. First, regarding the immune response to vaccines and natural infections, the antibody response echoes the dynamics of diverse immune elements such as B-cells, and plasma cells. Also, responses reflect the processes for B-cells to gain and adapt affinity for the virus. Antibodies (Abs) that respond to the virus surface proteins, particularly to the hemagglutinin (HA), have been identified to protect against infection. The Abs responses binding to HA can be broadly protective as this protein is considerably accessible on the virion. When following sequential infections with similar influenza strains, i.e. two infections with different strains of a subtype, an enhanced breadth and magnitude of Abs response is developed, mainly after the second infection. The effect of being effective to new strains is called Abs cross-reaction.
On the other hand, as for antiviral treatment, the WHO currently approves the use of neuraminidase inhibitors (NIs) such as zanamivir and oseltamivir. Diverse research areas such as system biology, learning-based methods, control theory, and systems pharmacology have guided the development of modern treatment schemes. To do so, mathematical models are used to describe a wide range of phenomena such as viral pathogenesis, immune responses, and the drug's dynamics in the body. Drug dynamics are usually expressed in two phases, pharmacokinetics (PK) and pharmacodynamics (PD) - the PK/PD approach. These schemes leverage pre-clinical and clinical data through modeling and simulation of infection and drug effects at diverse levels. Under such a framework, control-based scheduling systems seek to tailor optimal antiviral treatment for infectious diseases. Thus, influenza treatment can be theoretically studied as a control-based optimization duty (about systems stability, bounded inputs, and optimality). Finally, towards real-world implementation, learning-based methods such as neural networks (NNs) can guide solving issues on the control-based performance. Using NNs as identifiers provide a setting to deal with infrequent measures and uncertain parameters for the control systems.
This thesis theoretically explores central mechanisms in influenza infection via modeling and control approaches. In the first project, we explore how and to what extent antibody-antigen affinity flexibility could guide the Abs cross-reaction in two sequential infections using a hypothetical family of antigens. The set of antigens generally represent strains of influenza, such as those of a subtype. Each antigen is composed of a variable and a conserved area, generically representing the structures of the HA, head, and stalk, respectively. We test diverse scenarios of affinity thresholds in the conserved and variable areas of the antigens. The Abs response reaches a high magnitude when using equivalent affinity thresholds in the conserved and variable areas during the first infection. However, improved cross-reaction is developed when slightly increasing the affinity threshold of the variable area for the second infection. Key mutations via affinity maturation is a feature that, together with affinity flexibility between infections, guides Abs cross-reaction in the model outcome. These results could correlate with studies pointing out that broad responses might be dependent on reaching specific mutations for getting affinity to a newly presented antigen while broadly reaching related antigens. The general platform may serve as a proof-of-concept for exploring fundamental mechanisms that favor the Abs cross-reaction.
In a second project, theoretical schemes are developed to combine impulsive and inverse optimal control strategies to address antiviral treatment scheduling. We present results regarding stability, passivity, bounded inputs, and optimality using impulsive action. The study is founded on mathematical models of the influenza virus (target-cell limited model) adjusted to data from clinical trials. In these studies, participants were experimentally infected with influenza H1N1 and treated with NIs. Results show that control-based strategies could tailor dosage and reduce the amount of medication by up to 44%. Also, control-based treatment reaches the efficacy (98%) of the current treatment recommendations by the WHO. Monte Carlo simulations (MCS) disclose the robustness of the proposed control-based techniques. Using MCS, we also explore the applicability to the individualized treatment of infectious diseases through virtual clinical trials. Furthermore, bounded control strategies are applied directly in drug dose estimation accounting for overdose prevention. Finally, due to the limitations of the available technology intended for clinical practice, we emphasize the necessity of developing system identifiers and observers for real-world applications.
In the third project, the problem of data scarcity and infrequent measures in the real world is handled by means of learning-based methods. System identification is derived using a Recurrent High Order Neural Network (RHONN) trained with the Extended Kalman filter (EKF). Lessons learned from impulsive control frameworks are taken to develop a neural inverse optimal impulsive control --neurocontrol. The treatment efficacy is tested for early (one day post-infection) and late (2 to 3 days post-infection) treatment initiation. The neurocontrol reaches an efficacy of up to 95% while saving almost 40% of the total drug in the early treatment. Robustness is tested via virtual clinical trials using MCS.
Lastly, taking all together, the schemes developed in this thesis for modeling the Abs cross-reaction and control-based treatment tailoring can be extended and adapted to explore similar phenomena in different respiratory pathogens, such as SARS-CoV-2.
In order to effectively address global environmental problems, it is important that future decision-makers in society are aware of the safe operation space for humans, which is limited by the planetary boundaries. Until now, however, there has been a lack of international studies examining how the planet's boundaries are perceived. In this study, we investigated how students of environmental and sustainability studies in 35 countries (n = 4140) assess the planetary boundaries. Based on the rating, using spectral clustering, the 35 countries were assigned to five different clusters. Four indicators (Human Development Index, Legatum Prosperity Index, Natural Resources Income and Forest Area) were used to provide explanations for the clustering result. The indices allow a distinction between the clusters and provide initial explanations for the clustering. The results provide important insights for today's decision-makers, as possible measures for action in the individual countries can be derived from the findings.
Attitude polarization describes an increasing attitude difference between groups and is increasingly recognized as a multidimensional phenomenon. However, a unified framework to study polarization across multiple dimensions is lacking. We introduce the attitudinal space framework (ASF) to fully quantify attitudinal diversity. We highlight two key measures—attitudinal extremization and attitudinal dispersion—to quantify across- and within-group attitudinal patterns. First, we show that affective polarization in the US electorate is weaker than previously thought based on mean differences alone: in both Democrat and Republican partisans, attitudinal dispersion increased between 1988 and 2008. Second, we examined attitudes toward wolves in Germany. Despite attitude differences between regions with and without wolves, we did not find differences in attitudinal extremization or dispersion, suggesting only weak attitude polarization. These results illustrate how the ASF is applicable to a wide range of social systems and offers an important avenue to understanding societal transformations.
This work addresses the investigation of the biosynthesis mechanisms of type II polyketide synthase (PKS) and fatty acid synthase (FAS) derived specialized metabolites (SMs) from Photorhabdus laumondii.
The elucidation of the biosynthetic pathway of the bacterial 3,5-dihydroxy-4-isopropyl-trans-stilbene (IPS) was one of the major topics of this thesis. IPS exhibits several bioactive characteristics as it inhibits the phenoloxidase of insects, acts antibacterial, but also influences the soluble epoxide hydrolase which is involved in inflammatory reactions. It was recently approved as a treatment against psoriasis by the FDA and is the first Photorhabdus derived drug.
The stilbene generation in Photorhabdus requires the formation of the two acyl-carrier-protein (ACP) bound 5-phenyl-2,4-pentadienoyl- and isovaleryl-β-ketoacyl-moieties. The ketosynthase (KS)/cyclase StlD catalyzes a ring formation via a Michael-addition between the two intermediates which is then further processed by an aromatase. The formation of 5-phenyl-2,4-pentadienoyl-ACP was shown via in vitro assays with purified proteins by proving the influence of the KS FabH, ketoreductase FabG and dehydratase FabA or FabZ of the fatty acid metabolism. While E. coli was able to complement most of these enzymes in attempts to produce IPS in the heterologous host, the Photorhabdus derived FabH was not replaceable despite 73 % sequence identity with the E. coli based isoenzyme, acting as a gatekeeper enzyme for cinnamic acid (CA) moieties. Furthermore, the ability to incorporate meta-substituted halogenated CA-derivatives was shown in order to produce 3-chloro- and 3-bromo-IPS. While studying the stilbene biosynthesis, the ability of Photorhabdus and Xenorhabdus to produce hydrazines was also discovered.
The second investigated biosynthesis was the formation of benzylideneacetone (BZA). BZA is produced by Photorhabdus and Xenorhabdus strains acting as a suppressor for the immune cascade of insects and has also antibiotic activities towards Gram-negative bacteria. Due to its structural similarity towards CA and the intermediates during the stilbene formation, a shared mechanism for Photorhabdus and Xenorhabdus budapestensis was proposed due to their ability to produce CA. The production of BZA was also dependent on the stilbene related CoA-ligase, the ACP and FabH. It was verified in vitro and in vivo in E. coli yielding a 150-fold increase of the BZA production compared to the Photorhabdus and Xenorhabdus wildtype (WT) strains.
The second part of this work deals with the optimization of P. laumondii strains regarding the production titers of IPS. Therefore, several deletions of other SM related genes as well as promoter exchanges in front of stilbene related genes were carried out. These approaches were combined with the upregulation of the phenylalanine by heterologous plasmid expression, since it is the precursor of CA. Another approach applied in parallel was the optimization of the cultivation conditions with different media and supplementation with XAD-resins. It was proved that media rich on fatty acids or peptides led to higher optical densities of the cultures and thus to higher titers of stilbenes. Since IPS is inhibiting the phenoloxidase, an enzyme important for the insect immunity, it was hypothesized that cultivation in media containing insects might enhance the output of this SM. Starting from 23 mg/l of IPS in the P. laumondii WT strain, it was possible to increase the production levels to more than 860 mg/l by utilizing the mentioned approaches.
The last topic of this thesis focuses on the production of epoxidated IPS (EPS) and its derivatives. Under laboratory conditions, only a low titer of EPS was observed for the wildtype strain. However, the optimized IPS strains and IPS-production conditions could also be applied for EPS which led to higher productions and also to the detection of many new derivatives. Most of the EPS derivatives were amino acid or peptide derived acting as nucleophiles to open the epoxide ring and yielding β-amino-alcohols. However, purification and chemical synthesis attempts to obtain EPS failed due to its poor stability. Epoxides were utilized in in vitro assays with amino acids, peptides and proteins to get insights whether epoxidations might act as posttranslational modification in Photorhabdus. The reactions were performed with styrene oxide and stilbene oxide replacing EPS based on their structural similarity. The modifications were executed successfully although proteomics approaches with in vivo data are required to confirm these findings. During the purification attempts of EPS, further derivatives were detected. The structures of dimerized stilbenes, a cis-isomer of IPS and another derivative that might incorporate an amino-group in the resveratrol ring were proposed on the basis of the HPLC-MS data.
Biotechnological processes offer better production conditions for a wide variety of goods of industrial interest. The production of aromatic compounds, for example, involves molecules of great value for cosmetic, plastic, agrochemical and pharmaceutic industries. However, the yield of such processes frequently prevents a proper implementtation that would allow the replacement of traditional production processes.
Numerous rational engineering approaches have been attempted to enhance metabolic pathways associated with desired products. Unfortunately, genetic modifications and heterologous pathway expression often lead to a higher metabolic burden on the producing organisms, ultimately leading to reduced production levels and fitness.
This project utilised adaptive laboratory evolution to better understand the development of synthetic cooperative consortia, using S. cerevisiae as a model organism. Specifically, a synthetic cooperative consortium was developed around the exchange of lysine and tyrosine, which was subjected to adaptive laboratory evolution aiming to induce mutations that would improve the system’s fitness either by enhanced production or upgraded stress resistance. Consequently, the mutant strains isolated after the evolution rounds were sequenced to identify relevant variations that could be related to the growth and production phenotypes observed.
The insights derived from this project are expected to contribute to further developing synthetic cooperative consortia with utilitarian purposes.
Hyperparasitic fungi on black mildews (Meliolales, Ascomycota) : hidden diversity in the tropics
(2023)
Meliolales (Sordariomycetes, Ascomycota) is a group of obligate plant parasitic microfungi mainly distributed in the tropics and subtropics. Meliolalean fungi are commonly known as “black mildews”, as they form black, superficial hyphae on the surface of vegetative and reproductive organs of vascular plants. They are considered biotrophic parasites, and the infections caused by black mildews can lead to a decrease in the photosynthetic activity of plants, as well as to an increase in the temperature and respiration rate of their leaves.
Meliolales are frequently parasitized by hyperparasitic fungi, i.e., parasitic fungi that have parasitic hosts. These hyperparasites are all Ascomycota and belong mainly to the Dothideomycetes and Sordariomycetes. Although hyperparasites represent a megadiverse group, species were only described by morphology until 1980, and the systematic position of more than 60 % of known species is still unclear. In addition, there are no DNA reference sequences available in public databases for any of the species of hyperparasites of Meliolales, and no ecological studies have been done up to now.
Before this study, no exact number of hyperparasitic fungi growing on colonies of black mildews existed. Here, we present a checklist including 189 species of fungi known to be hyperparasitic on Meliolales, but the number of existing species is likely to be even higher. The elaboration of this species checklist laid the foundations for this investigation, as it helped to understand the present state of knowledge of hyperparasitic fungi on Meliolales worldwide.
For the present study, fresh specimens of leaves infected with colonies of Meliolales and hyperparasites were opportunistically collected at 32 collection sites in Western Panama and Benin, West Africa, in 2020 and 2022, respectively. In total, 100 samples of plant specimens infected with black mildews were collected, of which 58 samples were parasitized by hyperparasitic fungi. 31 species and morphospecies of hyperparasitic fungi were identified. In addition, 35 historical specimens, including 12 type specimens, were examined for the present work.
DNA of hyperparasitic fungi was isolated directly from conidia, synnemata, apothecia, perithecia or pseudothecia of fresh and dried specimens. The main challenges faced by scientists in doing molecular studies of hyperparasitic fungi are related to the fact that the hyperparasitic fungi are intermingled with tissues of the meliolalean hosts and other organisms present in a given sample. This makes the isolation of DNA exclusively from the hyperparasite difficult. Moreover, hyperparasitic fungi on Meliolales are biotrophs and cannot be grown axenically. The hosts themselves are also biotrophic, further complicating DNA isolation from either partner. These factors have contributed to a lack of reference sequences in public databases. After more than 100 attempts, DNA of 20 specimens of hyperparasitic fungi, representing seven species, has been isolated in the context of the present investigation. Three partial nuclear gene regions were amplified and sequenced: nrLSU, nrSSU and nrITS. The datasets were assembled for phylogenetic analyses applying Maximum Likelihood (ML) and Bayesian inference (BI) methods. DNA sequences of hyperparasitic fungi on Meliolales were generated for the first time in the context of the present investigation.
Hyperparasitic fungi on Meliolales do not represent a single systematic group, but a polyphyletic ecological guild of fungi. Because of this huge diversity, only the systematics of species of perithecioid hyperparasites, as well as of the species of the genera Atractilina and Spiropes known to be hyperparasitic on black mildews was discussed in this thesis, as they represented the most common groups of fungi found in Benin and Panama. The results indicated, for example, the systematic position of Dimerosporiella cephalosporii and Paranectriella minuta in the Sordariomycetes and Dothideomycetes, respectively. In addition, the first record of a hyperparasitic fungus of black mildews in the Lecanoromycetes, namely Calloriopsis herpotricha, is reported here. The systematics of Atractilina parasitica and of some species of Spiropes is also discussed here.
In the context of the present investigation, four species new to science were described. They are presented with detailed descriptions, photos and scientific illustrations. Taxonomic studies of this thesis also generated seven new synonyms, nine new records for Benin, seven for Panama, one for Africa and two for mainland America, as well as the confirmation of one anamorph-teleomorph connection by molecular sequence data.
The ecology of hyperparasitic fungi on Meliolales is complex and far from being completely understood. The hypothesis of host specificity between hyperparasitic fungi, their meliolalean hosts and their plant hosts was tested for the first time, through a tritrophic network analysis. Results indicate that hyperparasites of Meliolales are generalists concerning genera of Meliolales, but apparently specialists at the level of order. In addition, hyperparasitic fungi tend to be found alongside their meliolalean hosts, suggesting a pantropical distribution.
Earliella scabrosa is a pantropical species of Polyporales (Basidiomycota) and well-studied concerning its morphology and taxonomy. However, its pantropical intraspecific genetic diversity and population differentiation is unknown. We initiated this study to better understand the genetic variation within E. scabrosa and to test if cryptic species are present. Sequences of three DNA regions, the nuclear ribosomal internal transcribed spacer (ITS), the large subunit ribosomal DNA (LSU), and the translation elongation factor (EF1α) were analysed for 66 samples from 15 geographical locations. We found a high level of genetic diversity (haplotype diversity, Hd = 0.88) and low nucleotide diversity (π = 0.006) across the known geographical range of E. scabrosa based on ITS sequences. The analysis of molecular variance (AMOVA) indicates that the genetic variability is mainly found among geographical populations. The results of Mantel tests confirmed that the genetic distance among populations of E. scabrosa is positively correlated with the geographical distance, which indicates that geographical isolation is an important factor for the observed genetic differentiation. Based on phylogenetic analyses of combined dataset ITS-LSU-EF1α, the low intraspecific divergences (0–0.3%), and the Automated Barcode Gap Discovery (ABGD) analysis, E. scabrosa can be considered as a single species with five different geographical populations. Each population might be in the process of allopatric divergence and in the long-term they may evolve and become distinct species.
Discrepancies between knockdown and knockout animal model phenotypes have long stood as a perplexing phenomenon. Several mechanisms explaining such observations have been proposed, namely the toxicity or the off-target effects of the knockdown reagents, as well as, in certain cases, genetic robustness – an organism's ability to maintain its phenotype despite genetic perturbations. In addition to these explanations, transcriptional adaptation (TA), a phenomenon defined as an event whereby a mutation in one gene leads to transcriptional upregulation or downregulation of another, adapting, gene or genes expression, has been recently proposed as an alternative explanation for the conflicting knockdown and knockout phenotype paradox.
Since its discovery in 2015, TA's precise mechanism remains a subject of ongoing research. Majority of evidence suggests that mutant mRNA degradation plays a central in TA. Epigenetic remodeling is also thought to play a role, as evidenced by an increase in active histone marks at the transcription start sites of the adapting genes. Whether mRNA degradation is indeed the key player in TA remains debated. Furthermore, it is still unknown how exactly TA develops, what adapting genes it targets, and whether genomic mutations that render mutant mRNA sensitive to degradation are required for TA to occur.
Throughout the experiments described in this Dissertation, I have designed an inducible TA system where TA can be triggered on demand and its effects on the cell’s transcriptome followed through time. I have demonstrated that degradation-prone transgenes, once induced and expressed, can be efficiently degraded, resulting in the protein loss-independent upregulation of adapting genes via TA. Adapting genes with higher degree of sequence similarity become upregulated faster than genes with lower degree of sequence similarity. Further functionality of this approach to study TA is limited by the leakiness of the inducible gene expression system; however, constitutively expressed degradation-prone transgenes were used to demonstrate TA in human cells.
In addition, I have developed an approach to target wild-type cytoplasmic mRNAs without altering the cell’s genome and reported a TA-like phenomenon, which manifested as adapting gene upregulation not relying on mutations in other genes. Cytoplasmic mRNA cleavage with CRISPR-Cas13d triggered a TA-like response in three different gene models: Actg1 knockdown, Ctnna1 knockdown, and Nckap1 knockdown. After comparing two different modes of triggering TA, CRISPR-Cas9 knockout versus CRISPR-Cas13d knockdown, I reported little overlap between the dysregulated genes and suggested that diverse mRNA degradation modes led to distinct TA responses. In addition, the transcriptional increase of Actg2 caused by CRISPR-Cas13d-mediated Actg1 mRNA cleavage did not require chromatin accessibility changes.
Experiments and genetic tools described in this dissertation investigated how TA develops from its earliest onset, how it affects the global transcriptome of the cell, as well as provided compelling evidence for an mRNA degradation-central TA mechanism. I have created tools to study both direct and indirect TA gene targets and unveiled important insights into the temporal dynamics of TA. Genes with higher sequence similarity were found to be upregulated more rapidly than those with lower similarity. Furthermore, it was revealed that the epigenetic properties of TA responses vary depending on the triggering mechanism. Cas13d-mediated degradation of wild-type mRNAs led to immediate transcriptional enhancement independent of epigenetic changes, which stood in contrast to previously measured alterations in chromatin accessibility in CRISPR-Cas9 mutants. This research has thus significantly advanced our knowledge of TA and provided valuable tools and findings that contribute to the broader understanding of gene expression regulation in response to mRNA degradation.
Regulatory required, classical toxicity studies for environmental hazard assessment are costly, time consuming, and often lack mechanistic insights about the toxic mode of action induced through a compound. In addition, classical toxicological non-human animal tests raise serious ethical concerns and are not well suited for high throughput screening approaches. Molecular biomarker-based screenings could be a suitable alternative for identifying particular hazardous effects (e.g. endocrine disruption, developmental neurotoxicity) in non-target organisms at the molecular level. This, however, requires a better mechanistic understanding of different toxic modes of action (MoA) to describe characteristic molecular key events and respective markers.
Ecotoxicgenomics, which uses modern day omic technologies and systems biology approaches to study toxicological responses at the molecular level, are a promising new way for elucidating
the processes through which chemicals cause adverse effects in environmental organisms. In this context, this PhD study was designated to investigate and describe MoA-characteristic
ecotoxicogenomic signatures in three ecotoxicologically important aquatic model organisms of different trophic levels (Danio rerio, Daphnia magna and Lemna minor).
Applying non-target transcriptomic and proteomic methodologies post chemical exposure, the aim was to identify robust functional profiles and reliable biomarker candidates with potential
predictive properties to allow for a differentiation among different MoA in these organisms. For the sublethal exposure studies in the zebrafish embryo model (96 hpf), the acute fish embryo toxicity test guideline (OECD 236) was used as conceptual framework. As different test compounds with known MoA, the thyroid hormone 3,3′,5-triiodothyronine (T3) and the thyrostatic 6-propyl-2-thiouracil (6-PTU), as well as six nerve- and muscle-targeting insecticides (abamectin, carbaryl, chlorpyrifos, fipronil, imidacloprid and methoxychlor) were evaluated. Furthermore, a novel sublethal immune challenge assay in early zebrafish embryos (48 hpf) was evaluated for its potential to assess immuno-suppressive effects at the gene expression level. Therefore, toxicogenomic profiles after an immune response inducing stimulus with and without prior clobetasol propionate (CP) treatment were compared. For the aquatic invertebrate D. magna, the study was performed with previously determined low effect concentrations (EC5 & EC20) of fipronil and imidacloprid according to the acute immobilization test in water flea (OECD 202). The aim was to compare toxicogenomic signatures of the GABA-gated chloride channel blocker (fipronil) and the nAChR agonist (imidacloprid). With similar low effect concentrations, a shortened 3 day version of the growth inhibition test with L. minor (OECD 221) was conducted to find molecular profiles differentiating between photosynthesis and HMG-CoA reductase inhibitory effects. Here, the biological interpretation of the molecular stress response profiles in L. minor due to the lack of functional annotation of the reference genome was particularly challenging. Therefore, an annotation workflow was developed based on protein sequence homology predicted from the genomic reference sequences.
With this PhD work, it was shown how transcriptomic, proteomic and computational systems biology approaches can be coupled with aquatic toxicological tests, to gain important mechanistic insights into adverse effects at the molecular level. In general, for the different investigated adverse effects for the different organisms, biomarker candidates were identified, which describe a potential functional link between impaired gene expressions and previously reported apical effects. For the assessed chemicals in the zebrafish embryo model, biomarker candidates for thyroid disruption as well as developmental toxicity targeting the heart and central nervous system were described. The biomarkers derived from nerve- and muscletargeting insecticides were associated with three major affected processes: (1) cardiac muscle cell development and functioning, (2) oxygen transport and hypoxic stress and (3) neuronal development and plasticity. To our knowledge, this is the first study linking neurotoxic insecticide exposure and affected expression of important regulatory genes for heart muscle (tcap, actc2) and forebrain (npas4a) development in a vertebrate model. The proposed immunosuppression assay found CP to affect innate immune induction by attenuating the response of genes involved in antigen processing, TLR signalling, NF-КB signalling, and complement activation ...
Ischemic heart disease caused by occlusion of coronary vessels leads to the death of downstream tissues, resulting in a fibrotic scar that cannot be resolved. In contrast to the adult mammalian heart, the adult zebrafish heart can regenerate following injury, enabling the study of the underlying cellular and molecular mechanisms. One of the earliest responses that take place after cardiac injury in adult zebrafish is coronary revascularization. Previous transcriptomic data from our lab show that vegfc, a well-known regulator of lymphatic development, is upregulated early after injury and peaks at 96 hours post cryoinjury, coinciding with the peak of coronary endothelial cell proliferation. To test the hypothesis that vegfc is involved in coronary revascularization, I examined its expression pattern and found that it is expressed by coronary endothelial cells after cardiac damage. Using a loss-of-function approach to block Vegfc signaling, I found that it is required for coronary revascularization during cardiac regeneration. Notably, blocking Vegfc signaling resulted in a significant reduction in cardiomyocyte regeneration. Using transcriptomic analysis, I identified the extracellular matrix component gene emilin2a and the chemokine gene cxcl8a as effectors of Vegfc signaling. During cardiac regeneration, cxcl8a is expressed in epicardium-derived cells, while the gene encoding its receptor cxcr1 is expressed on coronary endothelial cells. I found that overexpressing emilin2a increases coronary revascularization, and induces cxcl8a expression. Using loss-of-function approaches, I observed that both cxcl8a and cxcr1 are required for coronary revascularization after cardiac injury.
Altogether, my findings indicate that Vegfc acts as an angiocrine factor that plays an important role in regulating cardiac regeneration in zebrafish. Mechanistically, Vegfc promotes the expression of emilin2a, which promotes coronary proliferation, at least in part by enhancing Cxcl8a-Cxcr1 signaling. This study helps in understanding the mechanisms underlying coronary revascularization during cardiac regeneration, with promising therapeutic applications for human heart regeneration.
Generally speaking, protein import into mitochondria and chloroplasts is a post-translational process during which the precursor proteins destined for mitochondria or chloroplasts are translated with cytosolic ribosomes and targeted. The previous results showed that the isolated chloroplasts can import in vitro synthesized proteins and the absence of ribosomes in the immediate area around chloroplasts in electron microscopy (EM) images. However, none of the EM images were recorded in the presence of a translation elongation inhibitor. Also, the observation showed that ribosomes stably bind to purified liver mitochondria in vitro, and the first indication of chloroplast localization of mRNAs encoding plastid proteins in Chlamydomonas rheinhardtii, which challenge the post-translational import and support the co-translational process. Therefore, in this study, the association of the ribosomes to the isolated chloroplasts were analyzed, a binding assay was established and showed that naked ribosomes are not considerably bound to chloroplasts. Additionally, mRNA localize in close vicinity to mitochondria also challenged post-translation protein import. Global analysis of transcripts bound to mitochondria in yeast or human revealed that around half of the transcripts of mitochondrial proteins displayed a high mitochondrial localization. The observed association of mRNAs with chloroplast fractions and the in vivo analysis of the distribution of mRNAs was used as base to formulate the hypothesis that mRNA can bind to chloroplast surface. Therefore, in this study, the mRNA binding assay was established and revealed that mRNAs coding for the mitochondrial cytochrome c oxidase copper chaperone COX17 showed unspecific binding to the chloroplasts. The mRNA coding for chloroplast outer envelope transport protein OEP24 and mRNA coding for the essential nuclear protein 1 (ENP1) showed specific binding, and OEP24 has a 3-fold higher affinity than ENP1 mRNA. Moreover, the BY2-L (Nicotiana tabacum non-green cell culture) could confer the highest enhancement of OEP24 mRNA binding efficiency than the COX17 and ENP1 mRNA and the preparation of the BY2-L was optimized. Afterwards, the feasibility to fix the interaction between mRNA and the proteins on the surface of chloroplasts was confirmed. OEP24 mRNA showed more efficiency in the UV-crosslinking. Following, the pull-down with antisense locked nucleic acid (LNA)/DNA oligonucleotides was established which could be used for the further investigation of the proteins involved in the mRNA binding to the chloroplasts.
With 5-10 newly diagnosed patients per 100,000 people every year, glioblastoma is the most common malignant primary brain tumor. Despite extensive research activity in the last decades, clinical effectiveness of the currently available therapy standard of surgery, radiochemotherapy and tumor-treating fields is still limited and mean survival rates in unselected collectives are only about one year. Accordingly, there is an urgent need to explore new therapeutic options. The current standard of care includes surgery followed by radiation therapy in combination with the alkylating chemotherapeutic agent Temozolomide. Even with successful initial therapy, tumor recurrence is still inevitable. Currently, there are no defined recommendations for clinical management of the disease in the event of tumor recurrence. Only 20-30% of patients qualify for a second surgical resection, while other options include retreatment with Temozolomide, CCNU (Lomustine) or Regorafenib and enrollment in a clinical trial.
The development of immunotherapies for glioblastoma, in particular, has been the focus of intense preclinical and clinical efforts. However, low numbers of mutations and a highly immunosuppressive tumor microenvironment result in glioblastoma being considered an immunologically “cold” tumor. Strategies successfully established in mutagen-induced tumors with antibodies directed against the PD-1, PD-L1 or CTLA-A4 immune checkpoints have therefore failed in glioblastoma.
Cellular immunotherapies based on chimeric antigen receptor (CAR)-technology have emerged as an alternative powerful option to tackle immunologically “cold” tumors. Several CAR-T cell products targeting glioma antigens have been developed and some evidence of clinical activity has been demonstrated. Natural killer (NK) cells as carriers of CAR constructs have several advantages over T cells, including a much lower risk of neurotoxicity and better interaction with immune cells in the microenvironment. Based on the human NK cell line NK-92, a clinical-grade product, suitable as an off-the-shelf therapeutic, has been developed. The NK-92/5.28.z clone (CAR-NK) expresses a CAR based on the HER2-specific antibody FRP5 in addition to signal-enhancing CD28 and CD3ζ domains. Similar to several other tumor entities, overexpression of the growth factor receptor HER2 is often found in glioblastoma patients. Because of its substantial role in the regulation of cell proliferation, survival, differentiation, angiogenesis and invasion, this receptor is classified as an oncogene. HER2 overexpression plays a major role in the malignant transformation of cells and its oncogenic potential has been studied in detail in breast cancer. However, HER2 expression was also found in up to 80% of glioblastomas, which correlates with an impaired probability of survival. Under physiological conditions, HER2 is not expressed in the adult central nervous system, making it a promising target antigen for glioblastoma immunotherapy.
In previous projects, it has already been shown that these CAR-NK cells exhibit a high and specific lytic activity towards HER2+ glioblastoma cells. While repetitive intratumoral injections of CAR-NK cells already significantly extended symptom-free survival in murine orthotopic xenograft models, CAR-NK cell therapy in immunocompetent mice promotes an endogenous anti-tumor immune response which improves tumor control and provides persisting anti-tumor immunity after therapy of early-stage tumors. However, in more advanced tumor models, efficacy is limited and induction of the checkpoint-molecule PD-L1 in response to CAR-NK-cell therapy was identified as a key mechanism of therapy resistance.
Immunotherapy employing the intravenous administration of checkpoint inhibitors has already revolutionized the treatment of various malignant diseases such as melanoma or lung cancer. In particular, the approach of cancer immunotherapy has focused on the systemic administration of antibodies directed against immune checkpoints such as PD-1, PD-L1 and CTLA-4. In glioblastoma, both tumor cells and microglia, the brain-resident macrophages, express PD-L1, which hinders the activation of CD8+ and CD4+ T cells. Therefore, immunotherapy directed against the PD-1/PD-L1 axis represents a promising approach for the treatment of glioblastoma. One problem, however, is the severe toxicity caused by the systemic effects of checkpoint inhibitors, since the immune response is stimulated not only in tumor tissue but also in healthy organs. Serious side effects such as colitis, hepatitis, pancreatitis or hypophysitis, including numerous deaths, have been reported.
This study aimed to improve the efficacy of CAR-NK cell therapy by combining it with adeno-associated virus (AAV)-mediated transfer of anti-PD-1 antibodies as a strategy to enable local combination therapy to control intracranial tumors.
AAVs carrying a payload coding for an anti-PD-1 immunoadhesin (aPD-1) retargeted to HER2-expressing cells by fusion of so-called Designed Ankyrin Repeat Proteins (DARPins) with a viral capsid protein were employed for this to focus checkpoint inhibitor therapy to the tumor area, resulting in high intratumoral and low systemic drug concentrations. ...
In Europe, the sugar refinery is largely based on sugar beets. This route for obtaining household sugar results in a large amount of biomass waste, consisting mainly of the insoluble beet resi-dues, e.g., cell wall fragments. To a vast moiety this debris consists of the polymer pectin (up to 20% in the dry total solids). The structure of pectin is based on a backbone of D-galacturonic acid units (GalA), but also contains various other sugar monomers, predominantly L-arabinose, D-galactose, L-rhamnose and D-xylose. The amount of GalA adds up to a moiety of up to 70% with-in this sugar cocktail. So far, this debris is only fed to cattle or simply burnt. In nature, pectin is a common substrate for various organisms. The degradation of pectin-rich biomass is often per-formed by filamentous fungi like Hypocrea jecorina (also known as Trichoderma reesei) and As-pergillus niger, which evolved pectinases to degrade the pectin backbone and pathways to con-sume the monomer GalA as a sole carbon source. The fungal catabolism of pectin residues starts with the reduction of GalA to L-galactonate (GalOA) by a GalA-reductase. Even though filamen-tous fungi are native hosts of the GalA-catabolism and certain engineering approaches have al-ready been demonstrated, this class of organisms remains challenging with regard to bioreactor cultivation and tedious genetic accessibility. In contrast, the yeast S. cerevisiae is well known in fermentation processes and easily modified by a versatile set of genetic tools. So far, first ap-proaches have already been conducted to transfer the GalA utilization pathways into S. cerevisiae, but these approaches indicated limitations regarding GalA-uptake and redox cofac-tor replenishment due to the relatively high oxidative state of GalA compared to other sugars like glucose and galactose. Furthermore, the generally strongly increased demand for redox co-factors must be met by GalA reduction by finding new cofactor sources or redirecting reactions of the core metabolism.
This work aimed at the production of GalOA, which is the first intermediate of the fungal GalA catabolism. This compound shows an interesting range of potential applications, for instance as a food and cosmetic additive. To overcome the oxidized character of GalA, the presence of a more reduced co-substrate as a redox donor and as a carbon and energy source was required. To further enhance the reduction of GalA, modulation of the redox-cofactor supply and enzyme engineering were performed.
Entoloma (Agaricales, Basidiomycota) is a species-rich genus with approximately 2000 species known worldwide. In Central America, however, information about the species of this genus is sparse, despite the generally high biodiversity in this region. Recently, 124 specimens of Entoloma were collected in Panama, Chiriquí Province. In the present publication, the morphology of 20 species represented by more than one specimen is described and depicted with photographs, line drawings, and scanning electron micrographs. Molecular phylograms based on ITS or concatenated ITS and partial nc LSU rDNA sequences are provided. The taxonomic status of these species is evaluated and 17 species of Entoloma are described as new to science. Only one species could be assigned to an already known species, viz. Entoloma belouvense. Nolanea albertinae, described from Brazil, appeared similar and is combined in E. belouvense on varietal level. The identifications of two further species are uncertain. At least 30 other species, including potentially new species, cannot formally be described due to insufficient material. A preliminary key to the species of the genus Entoloma in Panama is provided. The spatial shape of the polyhedroid basidiospores of Entoloma spp. is discussed based on literature and the micrographs generated for the present study. Our re-evaluations indicate that the type of polyhedroid basidiospore and the structure of its base are not reliable as diagnostic characters for the delimitation of subgenera in Entoloma.
The most basic behavioural states of animals can be described as active or passive. However, while high-resolution observations of activity patterns can provide insights into the ecology of animal species, few methods are able to measure the activity of individuals of small taxa in their natural environment. We present a novel approach in which the automated VHF radio-tracking of small vertebrates fitted with lightweight transmitters (< 0.2 g) is used to distinguish between active and passive behavioural states.
A dataset containing > 3 million VHF signals was used to train and test a random forest model in the assignment of either active or passive behaviour to individuals from two forest-dwelling bat species (Myotis bechsteinii (n = 50) and Nyctalus leisleri (n = 20)). The applicability of the model to other taxonomic groups was demonstrated by recording and classifying the behaviour of a tagged bird and by simulating the effect of different types of vertebrate activity with the help of humans carrying transmitters. The random forest model successfully classified the activity states of bats as well as those of birds and humans, although the latter were not included in model training (F-score 0.96–0.98).
The utility of the model in tackling ecologically relevant questions was demonstrated in a study of the differences in the daily activity patterns of the two bat species. The analysis showed a pronounced bimodal activity distribution of N. leisleri over the course of the night while the night-time activity of M. bechsteinii was relatively constant. These results show that significant differences in the timing of species activity according to ecological preferences or seasonality can be distinguished using our method.
Our approach enables the assignment of VHF signal patterns to fundamental behavioural states with high precision and is applicable to different terrestrial and flying vertebrates. To encourage the broader use of our radio-tracking method, we provide the trained random forest models together with an R-package that includes all necessary data-processing functionalities. In combination with state-of-the-art open-source automated radio-tracking, this toolset can be used by the scientific community to investigate the activity patterns of small vertebrates with high temporal resolution, even in dense vegetation.
he most basic behavioural states of animals can be described as active or passive. While high-resolution observations of activity patterns can provide insights into the ecology of animal species, few methods are able to measure the activity of individuals of small taxa in their natural environment. We present a novel approach in which a combination of automatic radiotracking and machine learning is used to distinguish between active and passive behaviour in small vertebrates fitted with lightweight transmitters (<0.4 g).
We used a dataset containing >3 million signals from very-high-frequency (VHF) telemetry from two forest-dwelling bat species (Myotis bechsteinii [n = 52] and Nyctalus leisleri [n = 20]) to train and test a random forest model in assigning either active or passive behaviour to VHF-tagged individuals. The generalisability of the model was demonstrated by recording and classifying the behaviour of tagged birds and by simulating the effect of different activity levels with the help of humans carrying transmitters. The model successfully classified the activity states of bats as well as those of birds and humans, although the latter were not included in model training (F1 0.96–0.98).
We provide an ecological case-study demonstrating the potential of this automated monitoring tool. We used the trained models to compare differences in the daily activity patterns of two bat species. The analysis showed a pronounced bimodal activity distribution of N. leisleri over the course of the night while the night-time activity of M. bechsteinii was relatively constant. These results show that subtle differences in the timing of species' activity can be distinguished using our method.
Our approach can classify VHF-signal patterns into fundamental behavioural states with high precision and is applicable to different terrestrial and flying vertebrates. To encourage the broader use of our radiotracking method, we provide the trained random forest models together with an R package that includes all necessary data processing functionalities. In combination with state-of-the-art open-source automated radiotracking, this toolset can be used by the scientific community to investigate the activity patterns of small vertebrates with high temporal resolution, even in dense vegetation.
The filamentous ascomycete Podospora anserina is a well-established model system to study organismic aging. Its senescence syndrome has been investigated for more than fifty years and turned out to have a strong mitochondrial etiology. Several different mitochondrial pathways were demonstrated to affect aging and lifespan. Here, we present an update of the literature focusing on the cooperative interplay between different processes.