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Echolocation allows bats to orientate in darkness without using visual information. Bats emit spatially directed high frequency calls and infer spatial information from echoes coming from call reflections in objects (Simmons 2012; Moss and Surlykke 2001, 2010). The echoes provide momentary snapshots, which have to be integrated to create an acoustic image of the surroundings. The spatial resolution of the computed image increases with the quantity of received echoes. Thus, a high call rate is required for a detailed representation of the surroundings.
One important parameter that the bats extract from the echoes is an object’s distance. The distance is inferred from the echo delay, which represents the duration between call emission and echo arrival (Kössl et al. 2014). The echo delay decreases with decreasing distance and delay-tuned neurons have been characterized in the ascending auditory pathway, which runs from the inferior colliculus (Wenstrup et al. 2012; Macías et al. 2016; Wenstrup and Portfors 2011; Dear and Suga 1995) to the auditory cortex (Hagemann et al. 2010; Suga and O'Neill 1979; O'Neill and Suga 1982).
Electrophysiological studies usually characterize neuronal processing by using artificial and simplified versions of the echolocation signals as stimuli (Hagemann et al. 2010; Hagemann et al. 2011; Hechavarría and Kössl 2014; Hechavarría et al. 2013). The high controllability of artificial stimuli simplifies the inference of the neuronal mechanisms underlying distance processing. But, it remains largely unexplored how the neurons process delay information from echolocation sequences. The main purpose of the thesis is to investigate how natural echolocation sequences are processed in the brain of the bat Carollia perspicillata. Bats actively control the sensory information that it gathers during echolocation. This allows experimenters to easily identify and record the acoustic stimuli that are behaviorally relevant for orientation. For recording echolocation sequences, a bat was placed in the mass of a swinging pendulum (Kobler et al. 1985; Beetz et al. 2016b). During the swing the bat emitted echolocation calls that were reflected in surrounding objects. An ultrasound sensitive microphone traveling with the bat and positioned above the bat’s head recorded the echolocation sequence. The echolocation sequence carried delay information of an approach flight and was used as stimulus for neuronal recordings from the auditory cortex and inferior colliculus of the bats.
Presentation of high stimulus rates to other species, such as rats, guinea pigs, suppresses cortical neuron activity (Wehr and Zador 2005; Creutzfeldt et al. 1980). Therefore, I tested if neurons of bats are suppressed when they are stimulated with high acoustic rates represented in echolocation sequences (sequence situation). Additionally, the bats were stimulated with randomized call echo elements of the sequence and an interstimulus time interval of 400 ms (element situation). To quantify neuronal suppression induced by the sequence, I compared the response pattern to the sequence situation with the concatenated response patterns to the element situation. Surprisingly, although the bats should be adapted for processing high acoustic rates, their cortical neurons are vastly suppressed in the sequence situation (Beetz et al. 2016b). However, instead of being completely suppressed during the sequence situation, the neurons partially recover from suppression at a unit specific call echo element. Multi-electrode recordings from the cortex allow assessment of the representation of echo delays along the cortical surface. At the cortical level, delay-tuned neurons are topographically organized. Cortical suppression improves sharpness of neuronal tuning and decreases the blurriness of the topographic map. With neuronal recordings from the inferior colliculus, I tested whether the echolocation sequence also induced neuronal suppression at subcortical level. The sequence induced suppression was weaker in the inferior colliculus than in the cortex. The collicular response makes the neurons able to track the acoustic events in the echolocation sequence. Collicular suppression mainly improves the signal-to-noise ratio. In conclusion, the results demonstrate that cortical suppression is not necessarily a shortcoming for temporal processing of rapidly occurring stimuli as it has previously been interpreted.
Natural environments are usually composed of multiple objects. Thus, each echolocation call reflects off multiple objects resulting in multiple echoes following the calls. At present, it is largely unexplored how neurons process echolocation sequences containing echo information from more than one object (multi-object sequences). Therefore, I stimulated bats with a multi-object sequence which contained echo information from three objects. The objects were different distances away from each other. I tested the influence of each object on the neuronal tuning by stimulating the bats with different sequences created from filtering object specific echoes from the multi-object sequence. The cortex most reliably processes echo information from the nearest object whereas echo information from distant objects is not processed due to neuronal suppression. Collicular neurons process less selectively echo information from certain objects and respond to each echo.
For proper echolocation, bats have to distinguish between own biosonar signals and the signals coming from conspecifics. This can be quite challenging when many bats echolocate adjacent to each other. In behavioral experiments, the echolocation performance of C. perspicillata was tested in the presence of potentially interfering sounds. In the presence of acoustic noise, the bats increase the sensory acquisition rate which may increase the update rate of sensory processing. Neuronal recordings from the auditory cortex and inferior colliculus could strengthen the hypothesis. Although there were signs of acoustic interference or jamming at neuronal level, the neurons were not completely suppressed and responded to the rest of the echolocation sequence.
Heat stress transcription factors (Hsfs) play essential role in heat stress response and thermotolerance by controlling the transcriptional activation of heat stress response (HSR) genes including molecular chaperones. Plant Hsf families show a striking multiplicity, with more than 20 members in the many plant species. Among Hsfs, HsfA1s act as the master regulators of heat stress (HS) response and HsfA2 becomes one of the most abundant Hsfs during HS. Using transgenic plans with suppressed expression of HsfA2 we have shown that this Hsf is involved in acquired thermotolerance of S. lycopersicum cv Moneymaker as HsfA2 is required for high expression and maintenance of increased levels of Hsps during repeated cycles of HS treatment.
Interestingly, HsfA2 undergoes temperature-dependent alternative splicing (AS) which results in the generation of seven transcript variants. Three of these transcripts (HsfA2-Iα-γ), generated due to alternative splicing of a second, newly identified intron encode for the full length protein involved in acquired thermotolerance. Another 3 transcripts (HsfA2-IIIα-γ) are generated due to alternative splicing in intron 1, leading in all cases to a premature termination codon and targeting of these transcripts for degradation via the non-sense mRNA decay mechanism (NMD).
Interestingly, excision of intron 2, results into the generation of a second previously unreported protein isoform, annotated as HsfA2-II. HsfA2-II shows similar transcriptional activity to the full-length protein HsfA2-I in the presence of HsfA1a but lacks the nuclear export signal (NES) required for nucleocytoplasmic shuttling which allows efficient nuclear retention and stimulation of transcription of HS-induced genes. Furthermore, stability assays showed that HsfA2-II exhibits lower protein stability compared to HsfA2-I.
The presence of a second intron and the generation of a second protein isoform we identified in other Solanaceae species as well. Remarkably, we observed major differences in the splicing efficiency of HsfA2 intron 2 among different tomato species. Several wild tomato accessions exhibit higher splicing efficiency that favors the generation of HsfA2-II, while in these species the splice variant HsfA2-Iγ is absent. This natural variation in splicing efficiency specifically occurring at temperatures around 37.5oC is associated with the presence of 3 intronic polymorphisms. In the case of wild species these polymorphisms seemingly restrict the binding of RS2Z36, identified as a putative splicing silencer for HsfA2 intron 2.
Tomato accessions with the polymorphic “wild” HsfA2 show enhanced thermotolerance against a direct severe heat stress incident due to the stronger increase of Hsps and other stress induced genes. Introgression of the “wild” S. pennellii HsfA2 locus into the cultivar M82, resulted in enhanced seedling thermotolerance highlighting the potential use of the polymorphic HsfA2 for breeding.
We conclude that alterations in the splicing efficiency of HsfA2 have contributed to the adaption of tomato species to different environments and these differences might be directly related to natural variation in their thermotolerance.
Research in cell and developmental biology requires the application of three-dimensional model systems that reproduce the natural environment of cells. Processes in developmental biology are therefore studied in entire systems like insects or plants. In cell biology, three-dimensional cell cultures (e.g. spheroids or organoids) model the physiology and pathology of cells, tissues or organs. In all systems, the cellular neighborhood and interactions, but also physicochemical influences, are realistically presented. The production and handling of these model systems is rather simple and allows for reproducible characterization.
Confocal and light sheet-based fluorescence microscopy (LSFM) enable the observation of these systems while maintaining their three-dimensional integrity. LSFM is applicable to imaging live samples at high spatio-temporal resolution over long periods of time. The quality of the acquired datasets enables the extraction of quantitative features about morphology, functionality and dynamics in the context of the complete system. This approach is referred to as image-based systems biology. Exploiting the potential of the generated datasets requires an image analysis pipeline for data management, visualization and the retrieval of biologically meaningful values.
The goal of this thesis was to identify, develop and optimize modules of the image analysis pipeline. The modules cover data management and reduction, visualization, reconstruction of multiview image datasets, the segmentation and tracking of cell nuclei and the extraction of quantitative features. The modules were developed in an application-driven manner to test and ensure their applicability to real datasets from three-dimensional fluorescence microscopy. The underlying datasets were taken from research projects in developmental biology in insects and plants, as well as from cell biology.
The datasets acquired in fluorescence microscopy are typically complex and require common image processing steps in order to manage, visualize, and analyze the datasets. The first module accomplishes automatic structuring of large image datasets, reduces the data amount by image cropping and compression and computes maximum projection images along different spatial directions. The second module corrects for intensity variations in the generated maximum projection images that occur as a function of time. The program was published as a part of an article in Nature Protocols. Another developed module named BugCube provides a web-based platform to visualize and share the processed image datasets.
In LSFM, samples can be rotated in-between two acquisitions enabling the generation of multiview image datasets. Prior to my work, Frederic Strobl and Alexander Ross acquired the complete embryogenesis of the red flour beetle, Tribolium castaneum, and the field cricket, Gryllus bimaculatus, with LSFM. I evaluated a plugin for the software FIJI as a module for the reconstruction of such datasets. The plugin was optimized for automation and efficiency. We obtained the first high quality three-dimensional reconstructions of Tribolium and Gryllus datasets.
Optical clearing increases the penetration depth into samples, thus providing endpoint images of entire three-dimensional objects with cellular detail. This work contributes a quantitative characterization module that was applied to endpoint images of optically cleared spheroids. A program for the generation of ground truth datasets was developed in order to evaluate the cell nuclei segmentation performance. The program was part of a paper that was published in BMC Bioinformatics. Using the program, I could show that the cell nuclei segmentation is robust and accurate. Approaches from computational topology and graph theory complete the segmentation of cell nuclei. Thus, the developed module provides a comprehensive quantitative characterization of spheroids on the level of the individual cell, the cell neighborhood and the whole cell aggregate. The module was employed in four applications to analyze the influence of different stress conditions on the morphology and cellular arrangement of cells in spheroids. The module was accepted for publication in Scientific Reports along with the results for one application. The cell nuclei segmentation further provided a data source for simulation models that used correlation functions to identify structural zones in spheroids. These results were published in Royal Society Interface.
The final part of this work presents a module for cell tracking and lineage reconstruction. In collaboration with Dr. Alexis Maizel, Dr. Jens Fangerau and Dr. Daniel von Wangenheim, I developed a module to track the positions of all cells involved in lateral root formation in Arabidopsis thaliana and used the extracted positions for extensive data analysis. We reconstructed the cell lineages and established the first atlas of all founder cells that contribute to the formation. The analysis of the retrieved data allowed us to study conserved and individual patterns in lateral root formation. The atlas and parts of the analysis presented in this thesis were published in Current Biology.
In this thesis, I developed modules for an image analysis pipeline in three-dimensional fluorescence microscopy and applied them in interdisciplinary research projects. The modules enabled the organization, processing, visualization and analysis of the datasets. The perspective of the image analysis pipeline is not restricted to image-based systems biology. With ongoing development of the image analysis pipeline, it can also be a valuable tool for medical diagnostics or industrial high-throughput approaches.
Characterizing the hologenome of Lasallia pustulata and tracing genomic footprints of lichenization
(2017)
The lichen symbiosis – consisting of fungal mycobionts and photoautotroph photobionts (green algae or cyanobacteria) – is globally successful. It covers an estimated 6% of the global surface with habitats ranging from deserts to the arctic. This success is reflected in the diversity of the mycobionts, with around 21% of all fungal species participating in lichen symbioses that can be facultative or obligate. Lichenization is furthermore evolutionary old, with fossil evidence for lichens reaching back 415 million years. For an individual fungal lineage, the Lecanoromycetes, the lichenization happened around 300 million years ago. This longstanding symbiotic relationship and the diversity of observed symbiotic dependency make them promising models to study the genomic consequences that follow the establishment of symbioses. Despite this, only little is known about the genomic effects of lichenization and extreme symbiotic dependency. To fill this gap we sequenced the hologenome of the lichen Lasallia pustulata, where the mycobiont could so far not been cultivated, suggesting that it might be more dependent on its symbionts.
As the poor culturability of lichen symbionts renders their genomes inaccessible to standard sequencing practices, we evaluated the extent to which different metagenome sequencing- and de novo assembly-strategies can be used to sequence and reconstruct the genomes of the individual symbionts. We find that the abundances of individual genomes present in the L. pustulata hologenome vary substantially, with the mycobiont being most abundant. Using in silico generated data sets and real Illumina sequencing data for L. pustulata we observe that the skewed abundances prevent a contiguous assembly of the underrepresented genomes when using only short-read sequencing. We conclude that short-read sequencing can offer first insights into lichen hologenomes. The fragmentation of the reconstructions hinders downstream analyses into the genomic consequences of lichenization though, as these are focused on identifying the gain and loss of genes.
We thus demonstrate a hybrid genome assembly strategy that is based on both short- and long-read sequencing. We show that this strategy is capable of creating highly contiguous genome reconstructions, not only for the L. pustulata mycobiont but also its photobiont Trebouxia sp., along with substantial amounts of the bacterial microbiome. A subsequent analysis of the microbiome of L. pustulata – performed over nine different samples collected in Germany and Italy – showed a stable taxonomic composition across the geographic range. We find that Acidobacteriaceae, which are known to thrive in nutrient poor habitats, are the dominant taxa. These would make them well adapted for the co-habitation with L. pustulata, which largely grows on rocks. Whether the Acidobacteriaceae are functionally involved in the lichen symbiosis is unclear so far.
As further comparative genomic studies rely on comprehensive genome annotations, we evaluate the completeness and fidelity of the gene annotations for the mycobiont L. pustulata as well as four further Lecanoromycetes. This reveals that un- and mis-annotated genes impact all evaluated genomes, with artificially joined genes and unannotated genes having the largest impact. In addition to these factors we find that the sequence composition – especially G/C-rich inverted repeats – lead to sequencing errors that interfere with the gene prediction. We minimize the effects of these artifacts through a rigorous curation.
Given the extremely sparse taxon sampling of available green alga genomes, we focus our search for the genomic footprints of lichenization on the mycobionts. We compare the genomes of the Lecanoromycetes to their closest relatives, the Eurotiomycetes and Dothideomycetes. This reveals that the last common ancestor of the Lecanoromycetes has lost around 10% of its genes after they split from the non-lichenized ancestor they share with the Eurotiomycetes. These losses are furthermore enriched, showing an excessive loss of genes involved with the degradation of polysaccharides. The loss of these genes fits a change from an ancestral saprotrophic lifestyle that depends on degrading complex plant matter, to the symbiotic lifestyle that relies on simpler nutrients provided by the photobionts. While the last common ancestor of the Lecanoromycetes additionally gained around 400 genes these could so far not be further characterized due to a lack of functionally annotated reference data.
As the mycobiont L. pustulata could so far not been grown in axenic culture, we initially expected to find an extensive genomic remodeling compared to the other mycobionts that easily grow in culture. We do not find evidence for this. Analyzing both the contraction of gene families and the loss of genes, we observe that L. pustulata and Umbilicaria muehlenbergii – its close relative that is easily grown in culture – share most of these. Furthermore, L. pustulata does not show an excessive loss of evolutionary old and well-conserved genes. These effects are mirrored on the functional level, as neither gene family contractions nor gene losses show a functional enrichment. This is partially due to the lack of functional reference data, analogous to the genes gained in the Lecanoromycetes, rendering their characterization hard. Thus, further studies on the genomic consequences of lichenization and differences in symbiotic dependence will have to be conducted, including larger taxon sets. This will be even more important for the photobionts, as the Chlorophyta are even more sparsely sampled today, hindering an effective functional and evolutionary study.
The fruit fly Drosophila melanogaster is one of the most important biological model organisms, but only the comparative approach with closely related species provides insights into the evolutionary diversification of insects. Of particular interest is the live imaging of fluorophores in developing embryos. It provides data for the analysis and comparison of the threedimensional morphogenesis as a function of time. However, for all species apart from Drosophila, for example the red flour beetle Tribolium castaneum, essentially no established standard operation procedures are available and the pool of data and resources is sparse. The goal of my PhD project was to address these limitations. I was able to accomplish the following milestones:
- Development of the hemisphere and cobweb mounting methods for the non-invasive imaging of Tribolium embryos in light sheet-based fluorescence microscopes and characterization of most crucial embryogenetic events.
- Comprehensive documentation of methods as protocols that describe (i) beetle rearing in the laboratory, (ii) preparation of embryos, (ii) calibration of light sheet-based fluorescence microscopes, (iv) recording over several days, (v) embryo retrieval as a quality control as well as (vi) data processing.
- Adaption of the methods to record and analyze embryonic morphogenesis of the Mediterranean fruit fly Ceratitis capitata and the two-spotted cricket Gryllus bimaculatus as well as integration of the data into an evolutionary context.
- Further development of the hemisphere method to allow the bead-based / landmark-based registration and fusion of three-dimensional images acquired along multiple directions to compensate the shadowing effect.
- Development of the BugCube, a web-based computer program that allows to share image data, which was recorded by using light sheet-based fluorescence microscopy, with colleagues.
- Invention and experimental proof-of-principle of the (i) AGameOfClones vector concept that creates homozygous transgenic insect lines systematically. Additionally, partial proof-of-principle of the (ii) AClashOfStrings vector concept that creates double homozygous transgenic insect lines systematically, as well as preliminary evaluation of the (iii) AStormOfRecords vector concept that creates triple homozygous transgenic insect lines systematically.
- Creation and performance screening of more than fifty transgenic Tribolium lines for the long-term imaging of embryogenesis in fluorescence microscopes, including the first Lifeact and histone subunit-based lines.
My primary results contribute significantly to the advanced fluorescence imaging approaches of insect species beyond Drosophila. The image data can be used to compare different strategies of embryonic morphogenesis and thus to interpret the respective phylogenetic context. My technological developments extend the methodological arsenal for insect model organisms considerably.
Within my perspective, I emphasize the importance of non-invasive long-term fluorescence live imaging to establish speciesspecific morphogenetic standards, discuss the feasibly of a morphologic ontology on the cellular level, suggest the ‘nested linearly decreasing phylogenetic relationship’ approach for evolutionary developmental biology, propose the live imaging of species hybrids to investigate speciation and finally outline how light sheet-based fluorescence microscopy contributes to the transition from on-demand to systematic data acquisition in developmental biology.
During my PhD project, I wrote a total of ten manuscripts, six of which were already published in peer-reviewed scientific journals. Additionally, I supervised four Master and two Bachelor projects whose scientific questions were inspired by the topic of my PhD work.
Deciphering the ecological functions of fungal root endophytes based on their natural occurrence
(2017)
Plants are colonized by a large diversity of fungi, some residing on the surface and others penetrating the plant tissues, the latter referred to as fungal endophytes (endon Gr., within; phyton, plant; de Bary 1879). Despite the saprotrophic potential of fungal endophytes, they are not found to cause visible disease symptoms to the host. Plants are colonized simultaneously by various fungal species, which form rich and diverse endophytic assemblages. Although it is hypothesized that fungal endophytes contribute to the fitness of their hosts and to the functioning of ecosystems, the ecological function of fungal endophytic assemblages remains cryptic. The aims of this doctoral thesis are to gain insight to the ecological functions of root fungal endophytes, by deciphering their roles in ecosystems based on their natural occurrence and the structure of their assemblages. The thesis focuses on studying the diversity and structure of the endophytic mycobiome within roots of two annual and widespread plant hosts Microthlapsi perfoliatum and M. erraticum (Brassicaceae) in several locations across northern Mediterranean and central Europe. The thesis is composed by six Chapters, with a primary focus on Chapter 1, 2 and 3.
Chapter 1 (Glynou et al., 2016) aimed at characterizing the diversity of fungal endophytes in roots at a continental scale and at assessing the factors affecting the structure of endophytic assemblages with the use of cultivation-based methods. For that, root samples were collected from 52 plant populations, along with a collection of soil, bioclimatic, geographic and host data. Cultivation of surface-sterilized root samples on culture media and isolation of fungal colonies in pure culture generated 1,998 fungal colonies. Grouping of sequences into Operational Taxonomic Units (OTUs), based on the 97% similarity of the isolates’ rDNA Internal Transcribed Spacer (ITS) sequence, generated in total 296 OTUs, representing taxa mostly within the phylum Ascomycota with a minor representation of Basidiomycota. Endophytic assemblages were mostly correlated with variation in bioclimatic conditions. Interestingly, despite the large diversity revealed, the assemblages were dominated by only six OTUs related to the orders Hypocreales, Pleosporales and Helotiales, which had a widespread distribution across populations but with some following patterns of ecological preferences.
Chapter 2 aimed at characterizing the uncultivable fraction of the root fungal endophytic diversity, which was not possible to capture in Chapter 1. High-throughput sequencing via the
Illumina Miseq platform was implemented in 43 of the 52 original populations and mostly in the same root samples. In comparison with the cultivation-based approach, the HTS managed to cover the overall diversity within samples. It revealed a large non-cultivated endophytic diversity but the same cultivable fungi dominated assemblages. Moreover, the endophytic diversity was grouped mostly within fungal orders with demonstrated ability to grow in culture and taxonomically related groups were found to have divergent ecological preferences.
The genetic identity of the most abundant OTUs was further investigated in Chapter 3 (Glynou et al., 2017), aiming to unravel genotypic variability, which was possibly overlooked due to the use of lTS, as a universal genetic marker, and could explain their high abundance and widespread distribution. Multi-locus gene sequencing and AFLP profiling for the five most abundant OTUs suggested a low within-OTU genetic variability and show that these fungi have ubiquitous distribution and are not limited by environmental conditions within the ecological ranges of the study. A selection of endophytes frequently isolated in Chapter 1 was functionally characterized in Chapter 4 (Kia et al., 2017) based on the isolates’ traits and interactions with plants. In Chapter 5 (Cheikh-Ali et al., 2015) fungal cultures of Exophiala sp. with differential colony structure where investigated for their production of secondary metabolites. Moreover, Chapter 6 (Maciá-Vicente et al., 2016) comprises the description of the new species Exophiala radicis based on morphological and molecular characteristics.
Compilation of all results shows that the fungal endophytic diversity in roots of Microthlaspi spp. is high but few widespread OTUs dominate the assemblages, and have unlimited dispersal ability. These fungi seem also to have a wide niche breadth and are not affected by environmental filtering. The findings indicate that the local environment but also processes of competitive exclusion determine the structure of endophytic assemblages. In addition, the fungal endophytes associated with Microthlapsi spp. likely have saprotrophic activity however the interactions with plants are likely context-dependent. Further research is needed to assess the biotic interactions among endophytes and their effect on the structure of fungal endophytic assemblages. Ultimately, the findings of this thesis are useful to shed light on the processes underlying the structure of endophytic assemblages. They also upraise the need to describe diversity by combining genetic, metabolic and physiological data, in order to disentangle the elusive ecological roles of the endophytic mycobiome.
Surface water can contain a complex mixture of organic micropollutants (i.e. residues of pharmaceuticals or biocides). Conventional wastewater treatment plants (WWTPs) do not completely remove a broad range of anthropogenic chemicals and therefore represent a leading point source. To upgrade WWTPs, technical solutions based on oxidative and sorptive processes have been developed and successfully implemented. Acknowledging these substantial advances, this thesis focuses on another key topic and aims to investigate whether improved biological treatment processes likewise effectively remove anthropogenic micropollutants from wastewater. The work conducted on this topic was part of two European research projects (ATHENE, ENDETECH).
The ATHENE project aimed to go beyond the state-of-the-art by developing biological wastewater treatment processes that exploit the full potential of biodegradation. With the objective to explore the potential of complementary strictly anaerobic conditions within the biological wastewater treatment, combinations of aerobic and anaerobic treatments on site of a WWTP were implemented. Based on pre-experiments, two promising treatment combinations were selected for a more comprehensive evaluation. An aerobic treatment was paired with an anaerobic pre-treatment under iron-reducing conditions, and an activated sludge treatment was combined with an anaerobic post-treatment under substrate-limiting conditions. For the evaluation of these processes, an effect-based assessment was applied and combined with chemical data of 31 selected target organic micropollutants as well as ten metabolites. To assess the removal of endocrine disrupting chemicals (EDCs), yeast based reporter gene assays covering seven receptor-mediated mechanisms of action including (anti-)estrogenicity, (anti-) androgenicity, retinoid-like, and dioxin-like activity were conducted. Furthermore, the removal of unspecific toxicity (Microtox assay) and oxidative stress response as a marker for reactive toxicity (AREc32 assay) were analyzed to cover micropollutants acting via a non-specific mechanism of action. Moreover, to assess toxicity of the whole effluent in vivo, standardized in vivo bioassays with four aquatic model species (Desmodesmus subspicatus, Daphnia magna, Lumbriculus variegatus, Potamopyrgus antipodarum) were performed.
The combination of aerobic and anaerobic treatments resulted in a low additional removal of the selected target organic micropollutants (by 14-17%). In contrast, the removal of endocrine and dioxin-like activities (by 17-75%) and non-specific in vitro toxicities (by 27-60%) was significantly enhanced. Compared to technical solutions (i.e. ozonation), the combination with an anaerobic pre-treatment under iron-reducing conditions was likewise effective in removing the estrogenic activity as well as the unspecific toxicity, whereas anti-androgenic activity and dioxin-like activity were less effectively removed. Exposure to effluents of the conventional activated sludge treatment did not induce adverse in vivo effects in the investigated aquatic model species. Accordingly, no further improvement in water quality could be observed. In conclusion, the combination of aerobic and anaerobic treatment processes significantly enhanced the removal of specific and non-specific in vitro toxicities. Thus, an optimization of the biological wastewater treatment can lead to a substantially improved detoxification. These capacities of a treatment technology can only be uncovered by complementary effect-based measurements.
The global objective of the ENDETECH project was to develop a biotechnological solution to eliminate recalcitrant pharmaceuticals in wastewater direct from sites, where high loads are expected (i.e. hospitals). For this purpose, laccase, an enzyme mainly found in wood decaying fungi, was immobilized on ceramic membranes for application in bioreactors. In a proof of principle experiment, the performance of immobilized laccase in removing a mixture of 38 antibiotics without and in combination with a natural mediator (syringaldehyde; SYR) was investigated. For the evaluation of the enzymatic membrane bioreactors, chemical data on the elimination of the selected target antibiotics was combined with the outcomes of two in vitro bioassays. Growth inhibition tests with an antibiotic sensitive Bacillus subtilis strain were conducted to assess the residual antibiotic activity of the effluents, and Microtox assays were performed to detect a potential formation of toxic by-products.
The treatment by laccase without SYR did not reduce the load of antibiotics significantly. In contrast, in combination with a SYR concentration of 10 µmol L-1, 26 out of 38 antibiotics were removed by >50% after 24 h treatment. Moreover, increasing the SYR concentration to 1000 µmol L-1 resulted in a further improvement of the antibiotic removal. 32 out of 38 antibiotics were removed by over 50%, whereby 17 were almost completely eliminated (>90%). However, the treatment with laccase in combination with SYR resulted in a time-dependent increase of unspecific toxicity. While SYR alone did not affect B. subtilis, the combination of laccase with SYR led to a strong time-dependent growth inhibition up to 100%. Similar to that, a time-dependent increase of unspecific toxicity in the Microtox assay was observed. In conclusion, the laccase-mediator process successfully degrades a broad spectrum of antibiotics and thus represents a promising technology to treat wastewater from sites, where high loads are expected. However, further research is required to reduce the formation of unspecific toxicity before an implementation of this technology can be considered.
The process of urbanization is one of the major causes of the global loss of biodiversity; however, cities nowadays also have the potential to serve as new habitats for wildlife. The European rabbit (Oryctolagus cuniculus, L. 1758) is a typical example of a wildlife species that reaches stable population densities in cities. Due to intense plant and soil damages, German city authorities aim to control high rabbit densities through the application of a yearly hunting regime (e. g., in Munich, Berlin or Frankfurt am Main). In contrast, population densities of O. cuniculus are on decline in German rural areas, i. e., numbers of yearly hunting bags decreased. The aim of my doctoral thesis was to answer the following research questions: Do population densities of the European rabbit correlate with the intensity of urbanization in and around Frankfurt am Main and if so, which factors play a role in varying densities? How are burrow construction behaviors and group sizes, daytime activity patterns and anti-predator behaviors as well as communication behaviors of this mammal affected by urbanization?
In my first study, I focused on population dynamics across 17 different study sites in and around Frankfurt. As one of yet few studies, I invented an approach that quantified the intensity of urbanization (degree of urbanity) of each study site base on four variables: (1) intensity of anthropogenic disturbance per min and ha, (2) number of residents within a radius of 500 m, (3) proportion of artificial ground cover and (4) numbers of anthropogenic objects per ha. Spearman rank correlations confirmed that with increasing degree of urbanity also rabbit and burrow densities increased. The access to dense shrubs, bushes etc. as suitable sites for burrow construction is the most determining factor for rabbit abundances, and therefore I presumed different densities along the rural-to-urban gradient to be driven by shifts in the availability of thick vegetation.
In the second study, I calculated two indices that in both cases classified burrows to be either accumulated, evenly or randomly distributed within study sites. Additionally, in cooperation with local hunters the number of burrow entrances and animals that occupy the same burrow had been determined during the hunting season. With increasing degree of urbanity burrow distribution patterns shifted from accumulated in rural areas towards more evenly distributed within the city center of Frankfurt. This is a clear sign for an increasing access to sites suitable for burrow construction along the rural to-urban gradient. Additional Spearman rank correlations revealed that the external dimensions of burrows decreased (shorter distances between entrances) and that burrows became less complex (fewer entrances) along the rural-to-urban gradient. In accordance, the number of rabbits that commonly shared the same burrow system was highest within rural areas, whereas I found mainly pairs and single individuals within highly urbanized study sites.
In the last study I compared activity patterns, burrow use and percentages of anti-predator behaviors from one hour before sunrise until one hour after sunset of rural, suburban and urban rabbit groups. A linear mixed model (LMM) and Spearman rank correlations confirmed that rabbits located at urban and suburban sites spent more time outside their protective burrows compared to their rural conspecifics. At suburban sites, individuals invested the least amount of time in anti-predator behavior. Results of this third study gave evidence that suburban rabbit populations on one hand benefit from less predation pressure by natural predators in comparison to rural sites, whereas on the other hand are exposed to less intense disturbance by humans compared to urban study sites.
The last study focused on the effects that urbanization had on the latrine-based communication behavior of rabbits. As many other mammals, O. cuniculus exchange information via the deposition of excreta in latrines, and depending on the intended receiver(s), latrines are either formed in central areas for within-group communication or at territorial boundaries, e. g., for between-group communication. The relative importance of within- vs. between-group communication depends on, amongst other factors, population densities and group sizes which I proved both to shift along the considered rural-to-urban gradient. I determined latrine sizes, latrine densities and latrine utilization frequencies relative to their distance to the nearest burrow at 15 different study sites. Latrine densities and utilization frequencies increased with increasing distance from the burrow in suburban and urban populations whereas at rural sites, largest latrines and those containing the most fecal pellets were close to the burrow, suggesting that within-group communication prevailed.
To sum up, for the first time, I was able to relate shifts in the ecology and behavior of the European rabbit as adaptations to a gradual anthropogenic habitat alteration that are typical for “urban exploiters”. Especially the suburban habitat provides high landscape heterogeneity (“edge habitat“) which is essential for high and stable rabbit populations. Moreover, here, comparably low human disturbance and predation pressure are given in contrast to the agriculturally transformed, open landscapes which are nowadays typical for most rural areas in central Europe. I argue that this mainly leads to the observed behavioral changes along the rural-to-urban gradient. Future plans for rural land management actions should aim to increase refuge availability by generating networks of ecotones. This would also benefit species that depend on similar ecosystem structures as the European rabbit and are on decline in Germany.
Introduction:
The evolutionary patterns of symbiotic organisms are inferred using cophylogenetic methods. Congruent phylogenies indicate cospeciation or host-switches to closely-related hosts, whereas incongruent topologies indicate independent speciation. Recent studies suggest that coordinated speciation is a rare event, and may not occur even in the highly specialized associations. The cospeciation hypothesis was mainly tested for free-living mutualistic associations, such as plant-pollinator interactions, and host-parasitic systems but was rarely tested on obligate, mutualistic associations involving intimate physiological interactions. Symbionts with lower partner selectivity may not experience coordinated speciation due to frequent switching of partners. On the other hand, symbionts with high partner selectivity may influence each other’s evolution owing to the highly interdependent lifestyles. Symbiont association patterns are also influenced by habitat and it has been proposed that symbiotic interactions are stronger in warm regions as compared to cooler regions (also referred as latitudinal gradient of biotic specialization). This hypothesis however, has recently been challenged and it has been suggested that a gradient of biotic specialization may not exist at all. Reliable species concepts are a prerequisite for understanding the association and evolutionary patterns of symbiotic organisms. The species concepts of many groups traditionally relied on the morphological species concept, which may not be adequate for distinguishing species due to the: i) homoplasious nature of morphological characters, an due to the inability to distinguish cryptic species. Thus phylogenetic species concept along with coalescent-based species delimitation approaches, which utilize molecular data for inferring species boundaries have been used widely for resolving taxonomic relationships. Lichens are obligatory symbiotic associations consisting of a fungal partner (mycobiont) and one or more photosynthetic partners, algae, and/or cyanobacteria (photobionts). I used the lichen forming fungal genus Protoparmelia as my study system, which consists of ~25-30 previously described species inhabiting different habitats, from the arctic to the tropics. This makes Protoparmelia an ideal system to explore the association and evolutionary patterns across different macrohabitats.
Objectives:
The objectives of this thesis were to 1. Elucidate the phylogenetic position of Protoparmelia within Lecanorales, and infer the monophyly of Protoparmelia; 2. Understand species diversity within Protoparmelia s.str. using coalescent-based species delimitation approaches; and 3. To identify the Trebouxia species associated with Protoparmelia using phylogenetic and species delimitation approaches and to infer the association and cophylogenetic patterns Protoparmelia and Trebouxia in different macrohabitats.
Results and discussion:
Chapter 1: Taxonomic position of Protoparmelia
In the first part of this study I explored the taxonomic position of Protoparmelia within the order Lecanorales. Overall this study included 54 taxa from four families, sequenced at five loci (178 sequences). I found Protoparmelia to be polyphyletic and sister to Parmeliaceae.
Chapter 2: Multilocus phylogeny and species delimitation of Protoparmelia spp.
In this part of the study, I identified and delimited the Protoparmelia species forming a monophyletic clade sister to Parmeliaceae i.e., Protoparmelia sensu stricto group, based on the multilocus phylogeny and coalescent-based species delimitation approaches. I included 18 previously described and three unidentified Protoparmelia species, which represents ~70% of the total described species, and 73 other taxa, sequenced at six loci. I found that the sensu stricto group comprised of 25 supported clades instead of 12 previously described Protoparmelia species. I tested the speciation probabilities of these 25 clades using species delimitation softwares BP&P and spedeSTEM. I found nine previously unrecognized lineages in Protoparmelia and I propose the presence of at least 23 species for Protoparmelia s.str., in contrast to the 12 described species included in the study.
Chapter 3: Association and cophylogenetic patterns of Protoparmelia and its symbiotic partner Trebouxia
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The objectives of this thesis were to understand how distinct classes of cell types interact to shape oscillatory activity in cortical circuits of the turtle. We chose the turtle cortex as a model system for cortical computations for two reasons. One is that the phylogenetic position of turtles makes their cortex functionally and anatomically particularly interesting. The second is that reptilian brains present several unique experimental advantages. Turtles have a three-layered cortex that forms the dorsalmost part of their pallium and receives direct input from visual thalamus. Thus turtle cortex, while sharing several features with mammalian cortices, constitutes a simpler system for studying cortical computations and dynamics. Freshwater turtles are semiaquatic species, that dive for hours and hibernate for months without breathing. Their brains are adapted to these behaviors so that they can operate under severe anoxia. This property allows for ex vivo wholebrain and whole-cortex (”cortical slab”) preparations in vitro, enabling the use of many sophisticated techniques for monitoring activity in parallel.
I thus set out to utilize the advantages of our model system, by using optogenetic methods to reliably evoke oscillations in an ex vivo whole-cortex preparation while observing activity in parallel with planar multi-electrode arrays (MEA), linear silicon depth-electrodes and patch-clamp recording techniques. This required several technical aspects to be solved. Prior work in turtle cortex (Prechtl, 1994; Prechtl et al., 1997; Senseman and Robbins, 2002) indicated that visual stimuli evoke complex activity patterns (e. g. wave patterns) in dorsal cortex. The goal was to examine these dynamics in detail and to provide mechanistic explanations for them whenever possible. The recent advent of optogenetics, the development of microelectrode arrays, and the possibility to combine these techniques with classical electrophysiological approaches on a resistant, accessible and stable preparation led me to explore a number of technical avenues.
First I had to establish gene delivery methods in reptiles. I settled on recombinant viruses, and show results from several serotypes of adeno-associated virus (AAV), i lentivirus and rabies virus. I report successful gene expression of genes of interest with several subtypes of AAV, including the commonly used AAV2/1 and AAV2/5 serotypes. Second I had to find promoters enabling global and cell-type specific gene expression in reptiles. Ubiquitous high-yield promoters such as CAG/CB7 or CMV drive high levels of expression in turtles; cell-type specific promoters such as hSyn (expression limited to neurons) and CaMKIIa (expression limited exclusively o mostly to excitatory neurons) appear similarly biased in turtles. Other cell-type specific promoters reported in the literature (fNPY, fPV, fSST) failed to express in turtles.
A second major aspect of my work focused on electrophysiological recordings using microelectrode arrays and the interpretation of extracellular signals recorded from cortex in ex vivo preparations. We observed that spike signals produced by pyramidal and inhibitory neurons were very often followed by a slower potential. We identified these slower potentials as reflections of synaptic currents, and thus of the axonal projections of the neurons, at least within the deep layers of cortex. This also resulted in a means to classify neurons as excitatory or inhibitory with much higher reliability than classical methods (e. g. spike width). The final aspect of my work concerns the use of optogenetics to dissect the mechanisms of cortical oscillations and wave propagation. I show that oscillations can be induced by light in turtle cortex after transfection with AAV2/1 carrying the gene for channelrhodopsin 2 (ChR2). By using the CaMKIIa promoter, ChR2 induced currents are limited to LII/III excitatory cells; we can therefore control excitatory drive to cortical networks. If this drive is strong enough, layer III inhibitory interneurons are recruited and fire in a concerted fashion, silencing the excitatory population. The visually evoked 20 Hz oscillations observed in chronically recorded animals (Schneider, 2015) or in anaesthetized animals (Fournier et al., in press) thus appear to result from a feedback loop between E and I cells within layers II & III. Details of these interactions are being investigated but - layer I interneurons, by contrast, do not seem to be involved. By pulsing light I could control the frequency of the oscillations within a range of several Hz around the natural oscillation frequency. Above this range, cortex could only follow the stimulus at a fraction (1/2, 1/3,...) of the light pulse frequency. Using a digital micromirror device, I limited activation of the cortical networks spatially, enabling the study of wave propagation in this system.
Reptilian cortex offers a relatively simple model system for a reductionist and comparative strategy on understanding cortical computations and dynamics. Turtle dorsal cortex could thus give fundamental insights to the primordial organization tional, computational and functional principles of cortical networks. These insights are relevant to our understanding of mammalian brains and may prove valuable to decipher fundamental questions of modern neuroscience.