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In the past decades, the use and production of chemicals has been on the rise globally due to increasing industrialization and intensive agriculture; resulting in the occurrence and ecotoxicological risks of chemicals of emerging concern (CECs) in the aquatic compartments. Risks include changes in community structure resulting in the dominance of one species and ecosystem imbalance. When dominant disease-causing organisms are in the environment, the disease transmission is increased. For example, host snails for the schistosomiasis, a human trematode disease, are known to be tolerant to pesticide
exposure compared to the predators. This would therefore result in an increased abundance of snails which consequently increase the disease transmission in the human population.
Kenya, being a low income country faces a lot of challenges with provision of clean water, diseases and sanitation facilities, and increasing population which results in intensive agriculture coupled with pesticide use. Although a lot of research has been carried out on the environmental occurrence and risk of CECs (Chapter 1), most of these studies have been done in developed countries with limited information from Africa. Additionally, research in Africa focused on urban areas with limited number of compounds analyzed and mostly in the water phase, and inadequate information on the effects of CECs on the aquatic organisms. In order to reduce this knowledge gap, this dissertation focused on identification and quantification of CECs present in water, sediment and snails from western Kenya, and the contribution of pesticides to the transmission of schistosomiasis.
Chapter 2 gives a summary of the results and discussion of the dissertation. In Chapter 3, a comprehensive chemical analysis was carried out on 48 water samples to identify compounds, spatial patterns and associated risks for fish, crustacean and algae using toxic unit (TU) approach. A total of 78 compounds were detected with pesticides and biocides being the compounds most frequently detected. Spatial pattern analysis revealed limited compound grouping based on land use. Acute risk for crustaceans and algae were driven by one to three individual compounds. These compounds responsible for toxicity were prioritized as candidate compounds for monitoring and regulation in Kenya.
In Chapter 4, an extension of Chapter 3 was done to cover the CECs present in snails and sediment from the 48 sites. A total of 30 compounds were found in snails and 78 in sediments with 68 additional compounds being found which were not previously detected in water. Higher contaminant concentrations were found in agricultural sites than in areas without anthropogenic activities. The highest acute toxicity (TU 0.99) was determined for crustaceans based on compounds in sediment samples. The risk was driven by diazinon and pirimiphos-methyl. Acute and chronic risks to algae were driven by diuron whereas fish were found to be at low to no acute risk.
In Chapter 5, the effect of pesticide contamination on schistosomiasis transmission was evaluated by applying complimentary laboratory and field studies. In the field studies, the ecological mechanisms through which pesticides and physical chemical parameters affect host snails, predators and competitors were investigated. Pesticide data was obtained from the results in chapter 3. The overall distribution of grazers and predators was not affected by pesticide pollution. However, within the grazers, pesticide pollution increased dominance of host snails. On the contrary, the host-snail competitors were highly sensitive to pesticide exposure. For the laboratory studies, macroinvertebrates including Schistosoma-host snails, competitors and predators were exposed to 6 concentrations levels of imidacloprid and diazinon. Snails showed higher insecticide tolerance compared to competitors and predators. Finally, Chapter 6 summarizes the conclusions of this dissertation, placing it in a broader
context. In this dissertation, a comprehensive chemical characterization and risk assessment of CECs has been carried out in freshwater systems; together with the effects of pesticides on schistosomiasis transmission in rural western Kenya. Results of this dissertation showed that rural areas are contaminated posing a risk to aquatic organisms which contribute to schistosomiasis transmission. This shows the need for regular monitoring and policy formulation to reduce pollutant emissions which contributes negatively to both ecological and human health effects.
This work comprises the investigation of four different biosynthesis gene clusters from Xenorhabdus. Xenorhabdus is an entomopathogenic bacterium that lives in mutualistic symbiosis with its Steinernema nematode host and together they infect and kill insect larvae. Xenorhabdus is well known for the production of so-called specialised metabolites and many of these compounds are synthesised by non-ribosomal peptide synthetases (NRPSs) or NRPS-polyketide synthase (PKS)-hybrids. These enzymes are organised in a modular manner and produce structurally very diverse molecules, often with the help of modifying domains and tailoring enzymes. In general, the genes involved in the biosynthesis are organised in so-called biosynthetic gene clusters (BGCs) in the genome of the producing strain. Exchanging the native promoter with an inducible promoter, e.g. PBAD, allows the targeted activation of the BGC and in turn the analysis of the biosynthesis product via LC-MS analysis.
The first BGC investigated in this work is responsible for the biosynthesis of xenofuranones. Based on gene deletions, this work shows that the NRPS-like enzyme XfsA produces a carboxylated furanone intermediate which is subsequently decarboxylated by XfsB to yield xenofuranone B. The next step in xenofuranone biosynthesis is the O-methylation of xenofuranone B to yield xenofuranone A. A comparative proteomics approach allowed the identification of four methyltransferase candidates and subsequent gene deletions confirmed one of the candidates to be responsible for methylation of xenofuranone B. The proteome analysis was based on the comparison of X. szentirmaii WT and X. szentirmaii Δhfq because distinct levels of the methylated xenofuranone A were observed when the xfs BGC was activated in either WT or Δhfq strain. Hfq is a global transcriptional regulator whose deletion is associated with the down regulation of natural product biosynthesis in Xenorhabdus. The strong PBAD activation of the xfs BGC also allowed the detection of two novel xenofuranone derivatives which arise from incorporation of one 4-hydroxyphenylpyruvic acid as first or second building block, respectively.
PBAD based activation of the second BGC addressed in this work lead to the detection of a novel metabolite and compound purification allowed NMR-based structure elucidation. The molecule exhibits two pyrrolizidine moieties and was named pyrrolizwilline (pyrrolizidine + twin (German: “Zwilling”)). The BGC comprises seven genes and single gene deletions as well as heterologous expression in E. coli and NRPS engineering were conducted to investigate the biosynthesis. The first two genes xhpA and xhpB encode a bimodular NRPS and a monooxygenase which synthesise a pyrrolizixenamide-like structure, similar to PxaA and PxaB in pyrrolizixenamide biosynthesis. It is suggested that the acyl side chain incorporated by XhpA is removed by the α,β-hydrolase XhpG. The keto function is then reduced by two subsequent two electron reductions catalysed by XhpC and XhpD. One of these two reduced pyrrolizidine units most likely is extended with glyoxalate prior to non-enzymatic dimerisation with the second pyrrolizidine moiety. To finally yield pyrrolizwilline, L-valine is incorporated, probably by the free-standing condensation domain XhpF.
The third BGC investigated is responsible for the production of a tripeptide composed of β-D-homoserine, α-hydroxyglycine and L-valine and is referred to as glyoxpeptide. This work demonstrates that the previously observed glyoxpeptide derivative is derived from glycerol present in the culture medium. Furthermore, this work shows that the monooxygenase domain, which is found in an unusual position between motifs A8 and A9 within the adenylation domain, is responsible for the α-hydroxylation of glycine. It is suggested that the α-hydroxylation of glycine renders the tripeptide prone to hydrolysis via hemiacetal formation. Hence, the XgsC_MonoOx domain might be an interesting candidate for further NRPS engineering.
The fourth BGC addressed is responsible for the production of xildivalines and this work describes two additional derivatives which are detected only when the promoter is exchanged and activated in the X. hominickii WT strain but not in X. hominickii Δhfq. Deletion of the methyltransferase encoding gene xisE results in the production of non-methylated xildivalines. It remains to be determined when the N-methylation of L-valine takes place. It is discussed that the methyltransferase could act on the NRPS released product but also during the assembly. The peptide deformylase is not involved in the proposed biosynthesis as xildivaline production is detected in a ΔxisD strain. The PKS XisB features two adjacent, so-called tandem T domains. The inactivation of the first or the second T domain by point mutation causes decreased production titres of detected xildivalines in the respective mutant strain when compared to the wild type.
Sleep is one of the fundamental requirements of all animals from nematodes to humans. It appears in different formats with shared features such as reduced muscle activities and reduced responsiveness to the environment. Despite the long history of sleep research, why a brain must be taken offline for a large portion of each day remains unknown. Moreover, sleep research focused on mammals and birds reveals two stages, rapid-eye-movement (REM) and slow-wave (SW) sleep, alternating during sleep. Whether these two stages of sleep exist in other vertebrates, particularly reptiles, is debated, as is the evolution of sleep in general.
Recordings from the brain of a lizard, the Australian bearded dragon Pogona vitticeps, indicate the presence of two electrophysiological states and provides a better picture of their sleep. Local field potential (LFP) signals, head velocity, eye movements, and heart rate during sleep match the pattern of REM and SW sleep in mammals. The SW and REM sleep patterns that we observed in lizards oscillated continuously for 6 to 10 hours with a period of 80-100 seconds when the ambient temperature was ~27°C. Lizard SW dynamics closely resemble those observed in rodent hippocampal CA1, yet originated from a brain area, the dorsal ventricular ridge (DVR), that does not correspond anatomically or transcriptomically to the mammalian hippocampus. This finding pushes back the probable evolution of these dynamics to the emergence of amniotes, at least 300 million years ago.
Unlike mammals and birds, REM and SW sleep in lizards occupy an almost equal amount of time during sleep. The clock-like alternation between these two sleep states was found initially by measuring the power modulation of two frequency bands, delta and beta. I recorded the full-band LFP and found an infra-slow oscillation (ISO) in the frequency range between 5 and 20 milli-Hz during sleep. The magnitude of ISO increased during sleep and decreased during both wakefulness and arousal during sleep. The up- and down-states of ISO were synchronized with the sleep state alternating rhythm but with a significant time lag dependent on the locations of the recording electrodes. Multi-site LFP recordings indicated that this ISO is a putative propagation wave sweeping extremely slowly, 30-67 µm/sec, from the posterior-dorsal pole to the anterior-ventral pole of the DVR.
Previous studies in other animals showed that brainstem areas such as the locus coeruleus, laterodorsal tegmentum, and periaqueductal gray are involved in sleep states regulation. It is sadly impossible to carry out in vivo recordings in the lizard brainstem without severely affecting them and their quality of life. I thus carried out ex vivo recordings in both DVR and brainstem. Pharmacological stimulation of the brainstem could reversibly silence one distinct EEG pattern characteristic of SW sleep, the sharp-wave and ripple complex, in DVR. An ISO could be recorded simultaneously in both DVR and brainstem. From data collected in both intact and split ex vivo brains, I concluded that there are independent ISO generators in at least two areas, the brainstem and the telencephalon. Their signals may normally be synchronized by long-range connections. The DVR ISO leads the brainstem ISO by ~29 sec. Optogenetic stimulation of brainstem neurons was able to disrupt the ISO in DVR reversibly.
In conclusion, the lizard brain offers a relatively simple model system to study sleep. Despite a diversity of results in different lizard species, my results revealed a number of new findings. Relevant for sleep research in general: 1) REM and SW sleep exist in a reptile. Since they also exist in birds and mammals, they probably existed in their common amniote ancestor, if not earlier. 2) REM and SW occupy equal amounts of time during sleep (50% duty cycle), a unique feature among all described sleep electrophysiological patterns, suggesting the possible existence of a simple central pattern generator of sleep, possibly ancestral. 3) I discovered the existence, in the local field potential, of an infra slow oscillation with extremely slow propagation, locked to the SW-REM alternating rhythm. The causes and mechanisms of this ISO remain to be understood. To my knowledge, the correlation between sleep states and a slow rhythm has only been reported in human scalp EEG recordings so far.
Most cellular processes are regulated by RNA-binding proteins (RBPs). These RBPs usually use defined binding sites to recognize and directly interact with their target RNA molecule. Individual-nucleotide resolution UV crosslinking and immunoprecipitation (iCLIP) experiments are an important tool to de- scribe such interactions in cell cultures in-vivo. This experimental protocol yields millions of individual sequencing reads from which the binding spec- trum of the RBP under study can be deduced. In this PhD thesis I studied how RNA processing is driven from RBP binding by analyzing iCLIP-derived sequencing datasets.
First, I described a complete data analysis pipeline to detect RBP binding sites from iCLIP sequencing reads. This workflow covers all essential process- ing steps, from the first quality control to the final annotation of binding sites. I described the accurate integration of biological iCLIP replicates to boost the initial peak calling step while ensuring high specificity through replicate re- producibility analysis. Further I proposed a routine to level binding site width to streamline downstream analysis processes. This was exemplified in the re- analysis of the binding spectrum of the U2 small nuclear RNA auxiliary factor 2 (U2AF2, U2AF65). I recaptured the known dominance of U2AF65 to bind to intronic sequences of protein-coding genes, where it likely recognizes the polypyrimidine tract as part of the core spliceosome machinery.
In the second part of my thesis, I analyzed the binding spectrum of the serine and arginine rich splicing factor 6 (SRSF6) in the context of diabetes. In pancreatic beta-cells, the expression of SRSF6 is regulated by the transcription factor GLIS3, which encodes for a diabetes susceptibility gene. It is known that SRSF6 promotes beta-cell death through the splicing dysregulation of genes essential to beta-cell function and survival. However, the exact mechanism of how these RNAs are targeted by SRSF6 remains poorly understood. Here, I applied the defined iCLIP processing pipeline to describe the binding landscape of the splicing factor SRSF6 in the human pancreatic beta-cell line EndoC-H1. The initial binding sites definition revealed a predominant binding to coding sequences (CDS) of protein-coding genes. This was followed up by extensive motif analysis which revealed a so far, in human, unknown purine-rich binding motif. SRSF6 seemed to specifically recognize repetitions of the triplet GAA. I also showed that the number of contiguous triplets correlated with increasing binding site strength. I further integrated RNA-sequencing data from the same cell type, with SRSF6 in KD and in basal conditions, to analyze SRSF6- related splicing changes. I showed that the exact positioning of SRSF6 on alternatively spliced exons regulates the produced transcript isoforms. This mechanism seemed to control exons in several known susceptibility genes for diabetes.
In summary, in my PhD thesis, I presented a comprehensive workflow for the processing of iCLIP-derived sequencing data. I applied this pipeline on a dataset from pancreatic beta-cells to unveil the impact of SRSF6-mediated splicing changes. Thus, my analysis provides novel insights into the regulation of diabetes susceptibility genes.
Octanoic acid (C8 FA) is a medium-chain fatty acid which, in nature, mainly occurs in palm kernel oil and coconuts. It is used in various products including cleaning agents, cosmetics, pesticides and herbicides as well as in foods for preservation or flavoring. Furthermore, it is investigated for medical treatments, for instance, of high cholesterol levels. The cultivation of palm oil plants has surged in the last years to satisfy an increasing market demand. However, concerns about extensive monocultures, which often come along with deforestation of rainforest, have driven the search for more environmentally friendly production methods. A biotechnological production with microbial organisms presents an attractive, more sustainable alternative.
Traditionally, the yeast Saccharomyces cerevisiae has been utilized by mankind in bread, wine, and beer making. Based on comprehensive knowledge about its metabolism and genetics, it can nowadays be metabolically engineered to produce a plethora of compounds of industrial interest. To produce octanoic acid, the cytosolic fatty acid synthase (FAS) of S. cerevisiae was utilized and engineered. Naturally, the yeast produces mostly long-chain fatty acids with chain lengths of C16 and C18, and only trace amounts of medium-chain fatty acids, i.e. C8-C14 fatty acids. To generate an S. cerevisiae strain that produces primarily octanoic acid, a mutated version of the FAS was generated (Gajewski et al., 2017) and the resulting S. cerevisiae FASR1834K strain was utilized in this work as a starting strain.
The goal of this thesis was to develop and implement strategies to improve the production level of this strain. The current mode of quantification of octanoic acid includes labor-intensive, low-throughput sample preparation and measurement – a main obstacle in generating and screening for improved strain variants. To this end, a main objective of this thesis was the development of a biosensor. The biosensor was based on the pPDR12 promotor, which is regulated by the transcription factor War1. Coupling pPDR12 to GFP as the reporter gene on a multicopy plasmid allowed in vivo detection via fluorescence intensity. The developed biosensor enabled rapid and facile quantification of the short- and medium-chain fatty acids C6, C7 and C8 fatty acids (Baumann et al., 2018). This is the first biosensor that can quantify externally supplied octanoic acid as well as octanoic acid present in the culture supernatant of producer strains with a high linear and dynamic range. Its reliability was validated by correlation of the biosensor signal to the octanoic acid concentrations extracted from culture supernatants as determined by gas chromatography. The biosensor’s ability to detect octanoic acid in a linear range of 0.01-0.75 mM (≈1-110 mg/L), which is within the production range of the starting strain, and a response of up to 10-fold increase in fluorescence after activation was demonstrated.
A high-throughput FACS (fluorescence-activated cell sorting) screening of an octanoic acid producer strain library was performed with the biosensor to detect improved strain variants (Baumann et al., 2020a). For this purpose, the biosensor was genomically integrated into an octanoic acid producer strain, resulting in drastically reduced single cell noise. The additional knockout of FAA2 successfully prevented medium-chain fatty acid degradation. A high-throughput screening protocol was designed to include iterative enrichment rounds which decreased false positives. The functionality of the biosensor on single cell level was validated by adding octanoic acid in the range of 0-80 mg/L and subsequent flow cytometric analysis. The biosensor-assisted FACS screening of a plasmid overexpression library of the yeast genome led to the detection of two genetic targets, FSH2 and KCS1, that in combined overexpression enhanced octanoic acid titers by 55 % compared to the parental strain. This was the first report of an effect of FSH2 and KCS1 on fatty acid titers. The presented method can also be utilized to screen other genetic libraries and is a means to facilitate future engineering efforts.
In growth tests, the previously reported toxicity of octanoic acid on S. cerevisiae was confirmed. Different strategies were harnessed to create more robust strains. An adaptive laboratory evolution (ALE) experiment was conducted and several rational targets including transporter- (PDR12, TPO1) and transcription factor-encoding genes (PDR1, PDR3, WAR1) as well as the mutated acetyl-CoA carboxylase encoding gene ACC1S1157A were overexpressed or knocked out in producer or non-producer strains, respectively. Despite contrary previous reports for other strain backgrounds, an enhanced robustness was not observable. Suspecting that the utilized laboratory strains have a natively low tolerance level, four industrial S. cerevisiae strains were evaluated in growth assays with octanoic acid and inherently more robust strains were detected, which are suitable future production hosts.
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Clean water is fundamental to human health and ecosystem integrity. However, water quality deteriorates due to novel anthropogenic pollutants present at microgram per liter concentrations in urban water cycles (termed micropollutants). Wastewater treatment plants (WWTP) have been identified as major point sources for aquatic (micro-)pollutants. Chemical and ecotoxicological analyses have shown that conventional biological WWTPs do not fully remove micropollutants and associated toxicities, which is often because of mobile, polar and/or recalcitrant compounds and transformation products (TPs). To minimize possible environmental risks, advanced wastewater treatment (AWWT) technologies could be a promising mitigation measure. Multiple processes are therefore being developed and evaluated such as ozonation and ozonation followed by granulated activated carbon (GAC) or biological filtration. Assessing the performance of these combined AWWTs was the focus the TransRisk project. Within this project, this thesis accomplished four major goals.
Firstly, the preparation of (waste)water samples was optimised for in vitro bioassays. Acidification, filtration and solid phase extraction (SPE) were tested for their impact on environmentally relevant in vitro endocrine activities, mutagenicity, genotoxicity and cytotoxicity. Significantly different outcomes of these assays were detected comparing neutral and acidified samples. Sample filtration had a lesser impact, but in some cases retention of particle-bound compounds could have caused significant toxicity losses. Out of three SPE sorbents the Telos C18/ENV at sample pH 2.5 extracted highest toxicity, some undetected in aqueous samples. These results indicate that sample preparation needs to be optimised for specific sample matrices and bioassays to avoid false-positive or -negative detects in effect-based analyses.
Secondly, the above listed in vitro toxicities were monitored in a protected region for drinking water production in South-West Germany (2012-2015). Out of 30 sampling sites surface water and groundwater were the least polluted. Nonetheless, a few groundwater samples induced high anti-estrogenic activity that prompted further monitoring. The latter included a waterworks in which no toxicity was detected. Hospital wastewater also had elevated in vitro toxicities and hospitals are, thus, relevant intervention points for source control. The biological WWTPs were effective in removing most of the detected toxicity, and the selected bioassays proved to be pertinent tools for water quality assessment and prioritisation of pollution hotspots.
Thirdly, the in vivo bioassay ISO10872 based on Caenorhabditis elegans (C. elegans) was adapted for this thesis. Using this model, a median effect concentration (EC50) for reproductive toxicity of the polycyclic aromatic hydrocarbon β-naphthoflavone (β- NF) of 114 µg/L was computed which is slightly lower than reported in the scientific literature. β-NF induced cyp-35A3::GFP (a biomarker in transgenic animals) in a time and concentration dependent manner (≤ 21.3–24 fold above controls). β-NF spiked wastewater samples supported earlier hypotheses on particle-bound pollutants. Reproductive toxicity (96 h) and cyp-35A3 induction (24 h) of biologically treated and/or ozonated wastewater extracts and growth promoting effects of GAC/biologically filtered ozonated wastewater extracts were observed. This suggested the presence of residual bioactive/toxic chemicals not included in the targeted chemical analysis. It also highlighted the importance of integrating multiple (apical and molecular) endpoints in wastewater assessments.
Fourthly, five in vitro and the adapted C. elegans bioassay were integrated into a wastewater quality evaluation (developed within TransRisk). Out of the five AWWT options, ozonation (at 1 g O3,applied/g DOC, HRT ~ 18 min) combined with nonaerated GAC filtration was rated most effective for toxicity removal. All five AWWTs largely removed estrogenic and (anti-)androgenic activities, but not anti-estrogenic activity and mutagenicity, which even increased during ozonation. This has been observed in related studies and points towards toxic TPs. These results also emphasized the need for implementing an effective post-treatment for ozonation. The results from a parallel in vivo study with Lumbriculus variegatus and Potamopyrgus antipodarum conducted on site at the WWTP (using flow through systems) were in accordance with the C. elegans results. In this context, it is suggested to further implement C. elegans as sensitive, feasible and ecologically relevant model.
In conclusion, this thesis shows how optimised sample preparation, long-term (in vitro) environmental monitoring, sensitive and ecologically relevant (in vivo) bioassays as well as innovative evaluation concepts, are pivotal in improving the removal of micropollutants and their toxicities with AWWTs. Future research should further develop and evaluate measures at sewer systems, conventional biological, tertiary and other advanced treatment technologies, as well as sociopolitical strategies (e.g., source control or natural conservation) and restoration projects. The effect-based tools optimised in this thesis will support assessing their success.
Exploring the in vivo subthreshold membrane activity of phasic firing in midbrain dopamine neurons
(2021)
Dopamine is a key neurotransmitter that serves several essential functions in daily behaviors such as locomotion, motivation, stimulus coding, and learning. Disrupted dopamine circuits can result in altered functions of these behaviors which can lead to motor and psychiatric symptoms and diseases. In the central nervous system, dopamine is primarily released by dopamine neurons located in the substantia nigra pars compacta (SNc) and ventral tegmental area (VTA) within the midbrain, where they signal behaviorally-relevant information to downstream structures by altering their firing patterns. Their “pacemaker” firing maintains baseline dopamine levels at projection sites, whereas phasic “burst” firing transiently elevates dopamine concentrations. Firing activity of dopamine neurons projecting to different brain regions controls the activation of distinct dopamine pathways and circuits. Therefore, characterization of how distinct firing patterns are generated in dopamine neuron populations will be necessary to further advance our understanding of dopamine circuits that encode environmental information and facilitate a behavior.
However, there is currently a large gap in the knowledge of biophysical mechanisms of phasic firing in dopamine neurons, as spontaneous burst firing is only observed in the intact brain, where access to intrinsic neuronal activity remains a challenge. So far, a series of highly-influential studies published in the 1980s by Grace and Bunney is the only available source of information on the intrinsic activity of midbrain dopamine neurons in vivo, in which sharp electrodes were used to penetrate dopamine neurons to record their intracellular activity. A novel approach is thus needed to fill in the gap. In vivo whole-cell patch-clamp method is a tool that enables access to a neuron’s intrinsic activity and subthreshold membrane potential dynamics in the intact brain. It has been used to record from neurons in superficial brain regions such as the cortex and hippocampus, and more recently in deeper regions such as the amygdala and brainstem, but has not yet been performed on midbrain dopamine neurons. Thus, the deep brain in vivo patch-clamp recording method was established in the lab in an attempt to investigate the subthreshold membrane potential dynamics of tonic and phasic firing in dopamine neurons in vivo.
The use of this method allowed the first in-depth examination of burst firing and its subthreshold membrane potential activity of in vivo midbrain dopamine neurons, which illuminated that firing activity and subthreshold membrane activity of dopamine neurons are very closely related. Furthermore, systematic characterization of subthreshold membrane patterns revealed that tonic and phasic firing patterns of in vivo dopamine neurons can be classified based on three distinct subthreshold membrane signatures: 1) tonic firing, characterized by stable, non-fluctuating subthreshold membrane potentials; 2) rebound bursting, characterized by prominent hyperpolarizations that initiate bursting; and 3) plateau bursting, characterized by transient, depolarized plateaus on which bursting terminates. The results thus demonstrated that different types of phasic firing are driven by distinct patterns of subthreshold membrane activity, which may potentially signal distinct types of information. Taken together, the deep brain in vivo patch-clamp technique can be used for the investigation of firing mechanisms of dopamine neurons in the intact brain and will help address open questions in the dopamine field, particularly regarding the biophysical mechanisms of burst firing in dopamine neurons that control behavior.
Fatty acids in oomycetes
(2021)
Cellular communication is a concept that can be explained as the transfer of signals or material (such as cytokines, ions, small molecules) between cells from the same or different type, across either short or long distances. Once this signal or material is received, it will, as a rule, promote a functional effect. Several routes, involved in this transfer, are well described and are of global importance for organ/tissue communication in an organism.
The brain interacts dynamically with the immune system, and the main route known to mediate this communication, is via the release of cytokines (by peripheral blood cells), which can then activate certain brain cell types, such as microglia, directly, or activate the vagus nerve transferring signals to neuronal populations in the brain. The communication between these two systems plays a key role in the pathophysiology of neurodegenerative diseases, and the mechanisms involved in this interaction are of central importance for understanding disease initiation and progression and search for therapeutic models.
The Momma lab previously addressed the mechanisms of interaction between the peripheral immune system and the brain by investigating cellular fusion of haematopoietic cells with neurons after inflammation. They addressed the question of whether this phenomenon also occurs under non-invasive conditions. To approach this problem, a genetic tracing model that relies on the Cre-Lox recombination system was used. Transgenic mice expressing Cre recombinase specifically in the haematopoietic lineage were crossed into a Cre-reporter background, thus all haematopoietic cells irreversibly express the reporter marker-gene EYFP. Using this model, EYFP was detected in non-haematopoietic tissues, suggesting the existence of a communication mechanism never described before. As cells containing two nuclei were never detected, fusion as a mechanism was excluded, suggesting that Cre reaches non-haematopoietic cells via a different signalling pathway. The Momma lab investigated whether the transfer of material through extracellular vesicles (EVs) could be behind this periphery-to-brain communication. Using the genetic mouse model, they were able to trace the transfer of Cre RNA via EVs between cells in vivo, generating the first in vivo evidence of functional RNA transfer by EVs between blood and brain.
The last decade has witnessed a rapid expansion of the field of EVs. Initially considered as waste disposal material, recent evidence has challenged this view. EVs are currently considered as a widespread intercellular communication system that can transport and transfer all types of biomolecules, from nucleic acids to lipids and proteins. However, several important questions are still under investigation. One of them is whether EVs are involved in brain pathophysiology, as inflammation plays an important role in onset and progression of neurodegenerative diseases and is well described in Parkinson Disease (PD). Based on preliminary data in a mouse, peripherally injected with a low dose of Lipopolysaccharide (LPS, an endotoxin found in the outer-membrane of Gram-negative bacteria, which causes an immune response), neurons and other cell population in the brain take up EVs from the periphery. Particularly, dopaminergic neurons from Substantia Nigra and Ventral Tegmental Area have been shown to receive functional RNA, transported through EVs, which can lead up to 20% of recombination. Furthermore, different neuronal populations from Hippocampus, Cortex and Cerebellum exhibit recombination, indicating a widespread signalling from blood to the brain. Therefore, the goal of my PhD thesis was to investigate the mechanisms of this transfer and the triggers that lead to EV uptake by neural cells in vivo both in pathological and physiological conditions.
In this project, the extent and function of EV-mediated signalling from blood to brain is explored in the context of peripheral inflammation and neurodegenerative diseases. Firstly, EVs isolated from WT mice were further characterized using size-exclusion chromatography (SEC), Western Blot (WB) and electron microscopy in order to extend the knowledge from previous work done in the Momma lab. Secondly, to expand on the biological relevance of the fact that inflammation is correlated with an increase in EV uptake, different approaches using the genetic murine tracing model were used. Recombination events from haematopoietic cells to the brain have been followed after peripheral injection of LPS. Peripheral inflammation caused by LPS injection led to widespread recombination events in the brain, specifically in microglia and neurons, including dopaminergic (DA) neurons. In contrast, astrocytes, oligodendrocytes and endothelial cells were never or very rarely recombined. Additionally, peripheral LPS injection in a murine model, where Cre is expressed only in erythrocytes, led to recombination events only in microglia, suggesting that the type of EV-secreting cell plays a role in the targeting of EVs to a specific cell population.
In order to form an organ, cells need to take up specialized functions and tasks. Cellular specialization is guided by an interplay of chemical signals and physical forces, where one influences the other. One aspect in cellular identity is its shape, which e.g. defines how susceptible the cell may be to intercellular signaling or in which section of the cell cycle it is and therefore can tell us about its current state. Shape changes are introduced by motor proteins that are controlled and activated in a locally confined manner. For my thesis, I was interested to understand better how cellular shape and geometry impacts downstream cell and organ development. What happens if a cell cant transition to a specific shape? How does it affect tissue structure? How does it affect further development?
One regulator of motor proteins like non-muscle myosin is Shroom3, which recently has been been shown to be expressed and involved in the development of the zebrafish lateral line organ (1 ). Development of the lateral line occurs through a migrating cluster of initially about 150 cells, the posterior lateral line primordium (pLLP), which migrates from the anterior (head) to the posterior (tail) while depositing cell clusters in a regular pattern. Literature on development of the lateral line suggests that in order for a cell cluster to be deposited from the pLLP, rosette formation is a key requirement. Therefore our expectation from the shroom3 mutant was that the number of clusters deposited was significantly reduced. To our surprise, when we first inspected the end of migration lateral line phenotype we found many individuals with a significant increase in cell clusters deposited.
This made us re-think the role of Shroom3 during rosette assembly and the processes its involved in.
To study the effects of Shroom3 on lateral line development, a mutant line was generated and crossed with various transgenic lines which express fluorescently labeled proteins that locate to organelles such as the plasmamembrane or the nucleus. Following, the mutant with its fluorescent labels was microscopically imaged under different conditions to quantify and analyze various cell-morphometric features. Even though the zebrafish is a popular model organism and its perfectly suited for developmental biology and advanced microscopy, there were no methods that would allow for a standardized and more automated pipeline of data acquisition and processing.
Therefore, in order to accurately quantify the morphogenic processes Shroom3 is involved in, I developed a new toolset that significantly improved and facilitated my research. The toolset consists of (1) a new sample mounting method that is based on a 3D agarose gel that increases the number of embryos that can be mounted and imaged at once and speeds up the imaging process significantly (2) for subseqent image analysis I developed four programs that automate the process and therefore make the results much more reproducible and the analysis much more efficient. The first program is used for end of migration analyses, to deduce the pattern, count and size of Lateral Line cell clusters. The second is used not for end of migration, but for migration analyses (on timelapse recordings). Besides this it also prepares the images for more advanced downstream migration analyses and allows to analyse fluorescence signal on a second channel. The third program is used to analyse the pLLP only at high spatial resolution and to deduce the cell count, 3D cell morphometrics (like the volume) and cell orientation. The fourth program finally is used downstream of the second and third program and is capable of detecting and comparing them with the look of wildtype rosettes.
Here I show that in absence of Shroom3 rosette formation in the migrating pLLP is destabilized leading to facilitated cell cluster deposition and I show how this might be related to traction forces due to a possible interdependence of pLLP acceleration and speed of migration. Furthermore I show that apical constriction and rosette formation is not blocked in Shroom3 deficient embryos, but that larger rosettes are fragmented into many smaller ones. Finally, I give an outlook on how the absense of Shroom3 and hence the absense of morphological changes may deregulate gene transcription by elevating the levels Atoh1a, a transcription factor necessary for hair cell development.
My results and methodology demonstrate the importance of morphology in guiding developmental processes and how rather small morphological changes on the cellular level can impact further development significantly. My work also shows how powerful modern genetics, imaging and image analysis are and how diverse they are in terms of range of questions they are capable of answering. The methods and tools I developed prepare the ground for at least three quarters of the analyses I carried out and together with the documentation and data I provide, they are highly reproducible. In that regard I am especially happy that one of my developments, an improved sample preparation method, is already used by many different labs all over the world helping them to make their results more reproducible.