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Terpene bilden mit mehr als 81.000 Verbindungen die größte Klasse der Naturstoffe. Nichtsdestotrotz wird ihre strukturelle Vielfalt durch die Isoprenregel begrenzt. Diese besagt, dass alle primären Terpensynthaseprodukte aus Bausteinen mit fünf Kohlenstoffatomen hervorgehen. Ihre Produkte sind somit kanonisch, da sie durch ein Vielfaches von fünf Kohlenstoffatomen dargestellt sind. In dieser kumulativen Arbeit wird die mikrobielle Produktion einer Vielzahl neuartiger nicht-kanonischer Terpene beschrieben und somit der chemische Strukturraum von Terpenoiden über die Grenzen der Isoprenregel hinaus erweitert. Um dies zu erreichen, wurden in verschiedenen Ansätzen die Gene des Mevalonatwege, einschließlich einer IPP-Isomerase gemeinsam mit verschiedenen Prenylpyrosphosphat-Methyltransferasen und Terpensynthasen in E. coli exprimiert und die Produktspektren der Biosynthesewege detailliert untersucht.
Ein breites Spektrum neuer C11-Terpene wurde als Nebenprodukt der bakteriellen 2-Methylisoborneol- oder 2-Methylenbornansynthasen entdeckt. Neben elf bekannten konnten 24 neuartige C11-Terpene nachgewiesen werden, die bisher noch nicht als Terpensynthase-Produkte beschrieben wurden. Vier davon, 3,4-Dimethylcumol, 2-Methylborneol und die beiden Diastereomere von 2-Methylcitronellol, konnten identifiziert werden. Außerdem wurde das C16-Terpen 6-Methylfarnesol als Produkt identifiziert.
Die Produktselektivität einer C11-Terpensynthasen, die 2 Methylenbornansynthase aus Pseudomonas fluorescens, wurde durch einen semirationalen Protein-Engineering-Ansatz verändert. Aminosäuren des aktiven Zentrums mit Einfluss auf die Produktselektivität wurden identifiziert. Entsprechende Varianten des Enzyms führen zu gänzlich veränderten Produktspektren. So wurden neue Einblicke in die Struktur-Funktions-Beziehung für C11-Terpensynthasen gewonnen und bisher unzugängliche nicht-kanonische Terpene produziert.
Eine IPP-Methyltranferase wurde identifiziert und charakterisiert, die den C5-Baustein der Terpenbiosynthese in eine Vielzahl von C6- und C7-Prenylpyrophosphate umwandelt. Die heterologe Expression in E. coli gemeinsam mit anderen Genen der Terpenbiosynthese erweitert das potenzielle Terpensynthase-Substratspektrum außerdem um C11-, C12-, C16- und C17 Prenylpyrosphopshate. Darüber hinaus konnten polymethylierte C41-, C42-und C43-Carotinoide synthetisiert werden. So wurde die Terpenbiosynthese durch die Modifikation ihrer Bausteine erweitert und neue ungewöhnliche Terpene produziert.
The attention on the protein PURA has increased recently following the discovery of the rare PURA Syndrome. This neurodevelopmental disorder is caused by de novo mutations in the PURA gene. Notably, our collaborators could show that the protein PURA can bind DNA and RNA in vitro. As a result, I was motivated to explore PURA's cellular RNAbinding activity. Furthermore, I inquired on the connection of PURA-RNA binding to the cellular effect of a reduction of functional PURA as present in PURA Syndrome patients.
To investigate the binding of PURA and the impact of PURA de ciency on cellular RNA and protein expression, I performed an integrative computational analysis of multimodal data from complementary high-throughput experiments. An essential component was the examination of UV Crosslinking and immunoprecipitation (CLIP) experiments, which can query the global RNA-binding behaviour of a given protein in a cellular context. As the processing and analysis of CLIP data are rather complex, I introduce an automated command line tool for the processing of CLIP data named racoon_clip as part of this dissertation. Therefore, this dissertation comprises two major segments. Firstly, I describe the implementation and usage of racoon clip for CLIP data analysis. Secondly, I discuss my research on the protein PURA, demonstrating its global RNA-binding properties, the effects of PURA depletion and its association with neuronal functions and P-bodies, among others.
racoon_clip is a command line application that I have developed for processing of individualnucleotide resolution CLIP (iCLIP) and enhanced CLIP (eCLIP) experiments - two of the most commonly used types of CLIP experiments - in a comparable and user-friendly way.
For this, I built racoon_clip as an automated work how that encompasses all CLIP processing steps from raw data to single-nucleotide resolution crosslink events. racoon_clip is available as a command line tool that users can run with a single command. The work how is implemented with Snakemake work how management providing computational advantage tages including parallelisation, scalability and portability of the work how. The main task of racoon_clip is to extract single-nucleotide crosslink events from iCLIP, iCLIP2, eCLIP and similar data types. To strike a balance between being highly customisable and easy to use, racoon_clip supplies pre-set options for the most common types of experiments.
Additionally, it is possible for users to create a custom setup of barcode and adapter architectures, which allows them to use the software for other types of CLIP data. While accounting for the different architectures in the reads, the performed central processing steps remain the same. This leads to a high degree of comparability between the different experiment types, which I demonstrate in the exemplary processing of U2AF2 iCLIP and eCLIP data. Taken together, I am confident that racoon_clip will be beneficial to numerous researchers interested in RNA-Protein interactions as it offers easily accessible processing for CLIP data and enhances the comparability of multiple CLIP datasets across di erent experiment types.
In the second part of this dissertation, I focus on the cellular function of the RNAbinding protein PURA. Through in-depth computational analysis of one iCLIP data set of endogenous PURA and two iCLIP data sets of overexpressed PURA in HeLa cells, I establish that PURA is a global RNA-binding protein. It preferentially binds RNAs in either the coding sequence (CDS) or the 3' untranslated region (3'UTR) of mature protein-coding transcripts by recognising a Purine-rich degenerated sequence motif. Even though overexpression of PURA results in less specific binding behaviour, the same overall binding patterns as from endogenous PURA persist. Overall characteristics of PURA binding remain similar in three distinct PURA iCLIP data sets with and without PURA overexpression.
To learn about the molecular consequences of a depletion of functional PURA in a cellular context, I used a 50% reduction of PURA in HeLa cells as a model for the heterozygous loss of PURA in PURA Syndrome and evaluated its impact on global RNA and protein expression. The results demonstrate that PURA depletion globally a ects RNA and protein expression. Additionally, I integrate PURA RNA binding with the changes in expression of RNAs and proteins in the context of PURA depletion. This reveals 234 targets of PURA that are bound by PURA and are impacted at both RNA and protein levels by the PURA protein. RNAs that are bound by PURA or change in abundance upon PURA depletion are enriched in neuronal development factors, RNA lifecycle regulators, and mitochondrial factors, among others. Consistent with a possible role of PURA in neuronal transport, there is considerable overlap between PURA bound transcripts and transcripts, that are transported to the dendritic end of neurons.
Notably, there is a link between PURA and P-bodies, as documented by the enrichment of PURA-bound RNAs in both the P-body and stress granule transcriptome. Further, PURA was found by our collaborators to be localised within P-bodies and P-body numbers were strongly reduced in cells that are depleted of PURA. This absence might be attributed to the downregulation of the proteins encoded by the PURA targets LSM14A and DDX6 as both of them were previously identified as essential for P-body formation.
Overall, the reduction of P-body numbers in PURA depletion, the neuronal function of PURA, and its association with mitochondria and RNA lifecycle regulation may indicate the cellular foundation of both PURA Syndrome and related neuronal diseases.
In summary, I present a versatile and user-friendly computational tool for the analysis of CLIP data. Subsequently, I conduct a thorough computational analysis of CLIP and other high-throughput data in the context of the RNA-binding protein PURA, which offers valuable insights into the cellular functions of PURA. These insights advance our understanding of the impact of PURA loss in PURA Syndrome and other disease contexts.
Exploring strategies to improve the reverse beta-oxidation pathway in Saccharomyces cerevisiae
(2024)
Microbes are the most diverse living organisms on Earth, with various metabolic adaptations that allow them to live in different conditions and produce compounds with different chemical complexity. Microbial biotechnology exploits the metabolic diversity of microorganisms to manufacture products for different industries. Today, the chemical industry is a significant energy consumer and carbon dioxide emitter, with processes that harm natural ecosystems, like the extraction of medium-chain fatty acids (MCFAs). MCFAs are used as precursors for biofuels, volatile esters, surfactants, or polymers in materials with enhanced properties.
However, their current extraction process uses large, non-sustainable monocultures of coconut and palm trees. Therefore, the microbial production of MCFAs can help reduce the current environmental impact of obtaining these products and their derivatives.
In nature, fatty acids are mostly produced via fatty acid biosynthesis (FAB). However, the reverse β-oxidation (rBOX) is a more energy-efficient pathway compared to FAB. The rBOX pathway consists of four reactions, which result in the elongation of an acyl-CoA molecule by two carbon units from acetyl-CoA in each cycle. In this work we used Saccharomyces cerevisiae, an organism with a high tolerance towards toxic compounds, as the expression host of the rBOX pathway to produce MCFAs and medium-chain fatty alcohols (MCFOHs).
In the first part of this work, we expanded the length of the products from expressing the rBOX in the cytosol and increased the MCFAs titres. First, we deleted the major glycerol-3-phosphate dehydrogenase (GPD2). This resulted in a platform strain with significantly reduced glycerol fermentation and increased rBOX pathway activity, probably due to an increased availability of NADH. Then, we tested different combinations of rBOX enzymes to increase the length and titres of MCFA. Expressing the thiolase CnbktB and β-hydroxyacyl-CoA dehydrogenase CnpaaH1 from Cupriavidus necator, Cacrt from Clostridium acetobutylicum and the trans-enoyl-CoA reductase Tdter (Treponema denticola) resulted in hexanoic acid as the main product.
Expressing Cncrt2 (C. necator) or YlECH (Y. lipolytica) as enoyl-CoA hydratases resulted in octanoic acid as the main product. Then, we integrated the octanoic (Cncrt2 or YlECH) and the hexanoic acid (Cacrt)-producing variants in the genome of the platform strain and we achieved titers of ≈75 mg/L (hexanoic acid) and ≈ 60 mg/L (octanoic acid) when growing these strains in a complex, highly buffered medium. These are the highest titers of octanoic and hexanoic acid obtained in S. cerevisiae with the rBOX. Additionally, we deleted TES1 and FAA2 to prevent competition for butyryl-CoA and degradation of the produced fatty acids, respectively.
However, these deletions did not improve MCFA titers. In addition, we tested two dual acyl-CoA reductase/alcohol dehydrogenases (ACR/ADH), CaadhE2 from C. acetobutylicum and the putative ACR/ADH EceutE from Escherichia coli, in an octanoyl-CoA-producing strain to produce MCFOH. As a result, we produced 1-hexanol and 1-octanol for the first time in S. cerevisiae with these two enzymes. Nonetheless, the titres were low (<10 mg/L and <2 mg/L, respectively), and four-carbon 1-butanol was the main product in both cases (>80 mg/L). This showed the preference of these two enzymes for butyryl-CoA.
In the second part of this work, we expressed the rBOX in the mitochondria of S. cerevisiae to benefit from the high levels of acetyl-CoA and the reducing environment in that organelle. First, in an adh-deficient strain, we mutated MTH1, a transcription factor regulating the expression of hexose transporters, and deleted GPD2. This resulted in a strain with a reduced Crabtree effect and, therefore, an increased carbon flux to the mitochondria. We partially validated the increased flux to the mitochondria by expressing the ethanol-acetyltransferase EAT1 from Kluyveromyces marxianus in this organelle. This resulted in a higher isoamyl acetate production in the MTH1-mutant strain. Isoamyl acetate is synthesised by Eat1 from acetyl-CoA and isoamyl alcohol, a product of the metabolism of amino acids in the mitochondria. Then, we targeted different butyryl-CoA-producing rBOX variants to the mitochondria, and we used the production of 1-butanol and butyric acid as a proof-of-concept. The strong expression of all the enzymes was toxic for the cell, and the highest butyric acid titres (≈ 50 mg/L) in the mitochondria from the rBOX were obtained from the weak expression of the pathway. The highest 1-butanol titers (≈ 5 mg/L) were obtained with the downregulation of the mitochondrial NADH-oxidase NDI1. However, this downregulation led to a non-desirable petite phenotype.
In summary, we produced hexanoic and octanoic acid for the first time in S. cerevisiae using the rBOX and achieved the highest reported titers of hexanoic and octanoic acid so far using this pathway in S. cerevisiae. In addition, we successfully compartmentalised the rBOX in the mitochondria. However, competing reactions, some of them essential for the viability of the cell, limit the use of this organelle for the rBOX.
Neurodevelopmental psychiatric disorders (NPDs) like attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and schizophrenia, affect millions of people worldwide. Despite recent progress in NPD research, much remains to be discovered about their underpinnings, therapeutic targets, effects of biological sex and age. Risk factors influencing brain development and signalling include prenatal inflammation and genetic variation. This dissertation aimed to build upon these findings by combining behavioural, molecular, and neuromorphological investigations in mouse models of such risk factors, i.e. maternal immune activation (MIA), neuron-specific overexpression (OE) of the cytoplasmatic isoforms of the RNA-binding protein RBFOX1, and neuronal deletion of the small Ras GTPase DIRAS2.
Maternal infections during pregnancy pose an increased risk for NPDs in the offspring. While viral-like MIA has been previously established elsewhere, this study was the first in our institution to implement the model. I validated NPD-relevant deficits in anxiety- and depression-like behaviours, as well as dose- and sex-specific social deficits in mouse offspring following MIA in early gestation. Proteomic analyses in embryonic and adult hippocampal (HPC) synaptoneurosomes highlighted novel and known targets affected by MIA. Analysis of the embryonic dataset implicated neurodevelopmental disruptions of the lipid, polysaccharide, and glycoprotein metabolism, important for proper membrane function, signalling, and myelination, for NPD-pertinent sequelae. In adulthood, the observed changes encompassed transmembrane trafficking and intracellular signalling, apoptosis, and cytoskeletal organisation pathways. Importantly, 50 proteins altered by MIA in embryonic and adult HPC were enriched in the NPD-relevant synaptic vesicle cycle. A persistently upregulated protein cluster formed a functional network involved in presynaptic signalling and proteins downregulated in embryos but upregulated in adults by MIA were correlated with observed social deficits. 49/50 genes encoding these proteins were significantly associated with NPD- and comorbidity-relevant traits in human phenome-wise association study data for psychiatric phenotypes. These findings highlight NPD-relevant targets for future study and early intervention in at-risk individuals. MIA-evoked changes in the neuroarchitecture of the NPD-relevant HPC and prefrontal cortex (PFC) of male and female mice highlighted sex- and region-specific alterations in dendritic and spine morphology, possibly underlining behavioural phenotypes.
To further investigate genetic risk factors of NPDs, I performed a study based on the implications of RBFOX1’s pleiotropic role in neuropsychiatric disorders and previous preclinical findings. Cytoplasmatic OE of RBFOX1, which affects the stability and translation of thousands of targets, was used to disseminate its role in morphology and behaviour. RBFOX1 OE affected dendritic length and branching in the male PFC and led to spine alterations in both PFC and HPC. Due to previously observed ASD-like endophenotypes in our Rbfox1 KO mice and the importance of gene × environment effects on NPD susceptibility, I probed the interaction of cytoplasmatic OE and a low-dose MIA on offspring. Both RBFOX1 OE alone and with MIA led to increased offspring loss during the perinatal period. Preliminary data suggested that RBFOX1 OE × MIA might increase anxiety- and anhedonia-like behaviours. Morphological changes in the adult male OE HPC and PFC suggested increased spine density and reduced dendritic complexity. A small post-mortem study in human dorsolateral PFC of older adults did not reveal significant effects of a common risk variant on RBFOX1 abundance.
To expand upon NPD genetic risks, I evaluated the effects of a homo- (KO) or heterozygous (HET) Diras2 deletion in a novel, neuron-specific mouse model. DIRAS2’s function is largely unknown, but it has been associated with ADHD in humans and neurodevelopment in vitro. In adult mice, there were subtle sex-specific effects on behaviour, i.e. more pronounced NPD-relevant deficits in males, in keeping with human data. KO mice had subtly improved cognitive performance, while HET mice exhibited behaviours in line with core ADHD symptoms, e.g. earning difficulties (females), response inhibition deficits and hyperactivity (males), suggesting Diras2 dose-sensitivity and sex-specificity. The morphological findings revealed multiple aberrations in dendritic and spine morphology in the adult PFC, HPC, and amygdala of HET males. KOs changes in spine and dendritic morphology were exclusively in the PFC and largely opposite to those in HETs and NPD-like phenotypes. Region- and genotype-specific expression changes in Diras2 and Diras1 were observed in six relevant brain regions of adult HET and KO females, also revealing differences in the survival and morphology regulator mTOR, which might underlie observed differences.
In conclusion, the effects of MIA and partial Diras2 knockdown resembled each other in core, NPD-associated behavioural and morphological phenotypes, while cytoplasmatic RBFOX1 OE and full Diras2 KO differed from those. My findings suggest complex dose- and sex-dependent relationships between these prenatal and genetic interventions, whose NPD-relevant influences might converge onto neurodevelopmental molecular pathways. An assessment of such putative overlap, based on available data from the MIA proteomic analyses of embryonic and adult HPC, suggested the three models might be linked via downstream targets, interactions, and upstream regulators. Future studies should disseminate both distinct and shared aspects of MIA, RBFOX1, and DIRAS2 relevant to NPDs and build upon these findings.
How the brain evolved remains a mystery. The goal of this thesis is to understand the fundamental processes that are behind the evolutionary history of the brain. Amniotes appeared 320 million years ago with the transition from water to land. This early group bifurcated into sauropsids (reptiles and birds) and synapsids (mammals). Amniote brains evolved separately and display obvious structural and functional differences. Although those differences reflect brain diversification, all amniote brains share a common ancestor and their brains show multiple derived similarities: equivalent structures, networks, circuits and cell types have been preserved during millions of years. Finding these differences and similarities will help us understand brain historical evolution and function. Studying brain evolution can be approached from various levels, including brain structure, circuits, cell types, and genes. We propose a focus on cell types for a more comprehensive understanding of brain evolution. Neurons are the basic building blocks and the most diverse cell types in the brain. Their evolution reflects changes in the developmental processes that produce them, which in turn may shape the neural circuits they belong to. However, there is currently a lack of a unified criteria for studying the homology of connectivity and development between neurons. A neuron’s transcriptome is a molecular representation of its identity, connectivity, and developmental/evolutionary history. Hence the comparison of neuronal transcriptomes within and across species is a new and transformative development in the study of brain evolution. As an alternative, comparing neuronal transcriptomes across different species can provide insights into the evolution of the brain. We propose that comparing transcriptomes can be a way to fill this gap and unify these criteria. In previous studies, published in Science (Tosches et al., 2018) and Nature (Norimoto et al., 2020), we leveraged scRNAseq in reptiles to re-evaluate the origins and evolution of the mammalian cerebral cortex and claustrum. Motivated by the success of this approach, in this thesis we have now expanded single-cell profiling to the entire brain of a lizard species, the Australian dragon Pogona vitticeps, with a special focus in thalamus and prethalamus of. This approach allowed us to study the evolution of neuron types in amniotes. Therefore, we aimed to build a multilevel atlas of the lizard brain based on histology and transcriptomic and compare it to an equal mouse dataset (Zeisel et al., 2018).
Our atlas reveals a general structure that is consistent with that for other amniote brains, allowing us to make a direct comparison between lizard and mouse, despite their evolutionary divergence 320 million years ago. Through our analysis of the transcriptomes present in various neuron types, we have uncovered a core of conserved classes and discovered a fascinating dichotomy of new and conserved neuron types throughout the brain. This research challenges the traditional notion that certain brain regions are more conserved than others.
Our research also has uncovered the evolutionary history of the lizard thalamus and prethalamus by comparing them to homologous brain regions of the mouse. This pioneering research sheds new light on our understanding of the evolutionary history of the lizard brain. We propose a new classification of the lizard thalamic nuclei based on
transcriptomics. Our research revealed that the thalamic neuron types in lizards can be grouped into two large, conserved categories from the medial to lateral thalamus. These categories are encoded by a common set of effector genes, linking theories based on connectivity and molecular studies of these areas. In our data we have seen that there is a conservation of the medial-lateral transcriptomic axis in mouse and lizard, this conservation was most likely already present in the common ancestor. Although there is a shared medial-lateral axis, a deeper study of the thalamic cell types has allowed us to see the existence of a partial diversification of the thalamic population, specifically in the sensory-related lateral thalamus; in opposition, the medial thalamic nuclei neuron-types have been preserved.
On the other hand, the comparison with the mammalian prethalamus allowed us to confirm that the lizard ventromedial thalamic neuron types are homologous to mouse reticular thalamic neuron types (Díaz et al., 1994), even if they do not express the classical Reticular thalamic nucleus (RTn) marker PV/pvalb. We also discovered that there has been a simplification in the mammalian prethalamic neuron types in favor of an increase in the number of Interneurons (IN) types within their thalamus. We suggest that the loss of GABAergic neuronal types in the mammalian prethalamus is linked to the need for a more efficient control of the thalamo-pallial communication in mammals, while in lizards, where thalamo-pallial communication is probably simpler, the diversity prethalamus presents a higher diversity.
The prefrontal cortex (PFC) is considered the cognitive center of the mammalian brain. It is involved in a variety of cognitive functions such as decision making, working memory, goal-directed behavior, processing of emotions, flexible action selection, attention, and others (Fuster, 2015). In rodents, these functions are associated with the medial prefrontal cortex (mPFC). Experiments in mice and rats have shown that neurons in the mPFC are necessary for successful performance of many cognitive tasks. Moreover, measurements of neural activity in the mPFC show excitation or inhibition in different cells in relation to specific aspects of the tasks to be solved. To date, however, it is largely unknown whether prefrontal neurons are stably activated during the same behaviors within a task and whether similar aspects are represented by the same neurons in different tasks. In addition, it is unclear how specifically neurons are activated, for example, whether cells that are activated in response to reward are activated in a different task without reward in a different situation or remain inactive. To address these questions, we recorded the same neurons in the mPFC of mice over the course of several weeks while the animals performed various behaviors.
To do this, we expressed GCaMP6 in pyramidal neurons in the mPFC of mice. A small lens was implanted in the same location and a miniature microscope ("miniscope") was used to record neural activity. Later the extracted neurons got aligned based on their shape and position across multiple days and sessions. The mice performed five different behavioral tests while neural activity was measured: A spatial working memory test in a T-maze, exploration of the elevated plus maze (EPM), a novel object recognition (NO) test including free open field (OF) exploration, a social interaction (SI) test and discriminatory auditory fear conditioning (FC). Each task was repeated at least twice to check for stable task encoding across sessions. Behavioral performance and neural correlates to specific task events were similar to earlier studies across all tasks. We utilized generalized linear models (GLM) to determine which behavioral variables most strongly influence neural activity in the mPFC. The position of the mouse in the environment was found to explain most of the variance in neural activity, together with movement speed they were the strongest predictors of neural activity across all tasks. Reward time points in the working memory test, the conditioned stimulus after fear conditioning, or head direction in general were also strongly encoded in the mPFC.
Many of the recorded neurons showed a stable spatial activity profile across multiple sessions of the same task. Similarly, cells that coded for position in one task tended to code for position in other tasks. Not only did the same cells code for position across multiple tasks, but cells also coded for movement speed and head direction. This indicates that at least these general behavioral variables are each represented by the same neurons in the mPFC. Interestingly, the stability of position or speed coding did not depend on the time between two sessions, but only on whether it was within the same or across different tasks. Within the same task, stability was slightly higher than across different tasks.
To find out whether task-specific behavioral aspects were also stably encoded in the mPFC, difference scores as the difference in neural activity between two task aspects like left- and right-choice trials or exposed and enclosed locations were calculated. Many cells encoded these aspects stably across different sessions of each task. Both the left-right differences in the different phases of the working memory test, the open-closed-arm differences in the elevated plus maze, the different activity between center and corners in the open field, the social target-object differences in the social interaction test, and the differences between the two tones during fear conditioning were all stably encoded across the population of mPFC cells. Only the distinction between the novel and the familiar object during object recognition was not stably encoded, but also the preference for the novel object was not present in the second session of novel object exploration.
There was also an overlap in coding for different aspects within a task across multiple sessions. For example, cells stably encoded left-right differences in the T-maze between different sessions as a function of walking direction across different phases of working memory, an aspect that we could already show within one session (Vogel, Hahn et al., 2022). During fear conditioning, the same cells showed a discrimination between CS+ and CS- that also responded to the start of CS+.
Consistency in the neurons activity across different tasks was also found, but only between tasks with similar demands, the elevated plus-maze and free exploration of the open field. Cells that were more active in the open arms also showed more activity in the center of the open field and vice versa. This could be an indicator that the cells were coding for anxiety or exposure across those tasks, indicating that neurons in the mPFC also stably encode general task aspects independent of the specific environment. However, it remains unclear what exactly these neurons encode; in the case of a general fear signal, one would also expect activation during fear conditioning which could not be found.
Overall, we found that neurons in the mPFC of mice encoded multiple general behavioral variables across multiple tasks and task-specific variables were encoded stably within each of the tested tasks. However, we found little task-specific variables that were systematically encoded by the same neurons with the exception being the elevated plus-maze and open field exploration, two tasks with similar features.
Precise regulation of gene expression networks is required to develop and maintain a healthy organism before and after birth and throughout adulthood. Such networks are mostly comprised of regulatory proteins, but meanwhile many long non-coding transcripts (lncRNAs) are shown to participate in these regulatory processes. The functions and mechanisms of these lncRNAs vary greatly, however they are often associated with transcriptional regulation. Three lncRNAs, namely Sweetheart RNA (Swhtr), Fetal-lethal noncoding developmental regulatory RNA / Foxf1 adjacent non-Coding developmental regulatory RNA (Fendrr) and lncFsd2, were studied in this work to demonstrate the variety of cellular and biological processes that require lncRNA-mediated fine-tuning, in regard to the cardiopulmonary system.
Swhtr was found to be expressed exclusively in cardiomyocytes and became critical for regeneration after myocardial injury. Mice lacking Swhtr did not show issues under normal conditions, but failed to undergo compensatory hypertrophic remodeling after injury, leading to increased mortality. This effect was rescued by re-expressing Swhtr, demonstrating importance of the RNA. Genes dependent on Swhtr during cardiac stress were found to likely be regulated by NKX2-5 through physical interaction with Swhtr. Fendrr was found to be expressed in lung and interacted with target promoters through its RNA:dsDNA binding domain, the FendrrBox, which was partially required for Fendrr function. Fendrr, together with activated WNT signaling, regulated fibrosis related target genes via the FendrrBox in fibroblasts. LncFsd2, an ubiquitously expressed lncRNA, showed possible interaction with the striated muscle specific Fsd2, but its exact function and regulatory role remain unclear in muscle physiology. Immunoprecipitation and subcellular fractionation experiments suggest that lncFsd2 might be involved in nuclear retention of Fsd2 mRNA, thus fine-tuning FSD2 protein expression. These investigations have shed light on the roles of these lncRNAs in stress responses, fibrosis-related gene regulation, and localization processes, advancing our understanding of cardiovascular and pulmonary maintenance, reaction to injury, and diseases. The diverse and intricate roles of these three lncRNAs highlight how they influence various cellular processes and disease states, offering avenues for exploring lncRNA functions in different biological contexts.
Anthropogenic activities have a major impact on our planet and rapidly drive biodiversity loss in ecosystems at a global scale. Particularly over the last century, rising CO2 emissions significantly raised global temperatures and increased the intensity and frequency of droughts and heatwaves. Additionally, agricultural land use and fossil fuel combustion contribute to the continuous release of nitrogen (N) and phosphorus (P) into ecosystems worldwide through extensive fertilization and deposition from the atmosphere. It is important to understand how these rapid changes affect the evolution of plant populations and their adaptive potential. Adaptation by natural selection (i.e., adaptive evolution) within a few generations is an essential process as a response to rapid environmental changes. Rapid evolution of plant populations can be detected by using the so-called resurrection approach. Here, diaspores (i.e., seeds) from a population are collected before (ancestors) and after (descendants) a potential selection pressure (e.g., consecutive years of drought or changes in nutrient supply). Comparing phenotypes of ancestors and descendants in a common environment such as an outside garden, greenhouse, or climate chamber, may then reveal evolutionary changes. Ideally, plants are first grown in a common environment for an intermediate refresher generation to reduce parental and storage effects.
The aim of this thesis was to investigate the occurrence of adaptive evolution in natural plant populations in response to rapidly changing environments over the past three decades. I conducted three experiments using the resurrection approach to generate comprehensive data on the adaptive processes that acted on three plant populations from three different species over the last three decades. Furthermore, I filled knowledge gaps in plant evolutionary ecology and conceptually developed the resurrection approach further.
In Chapter I, I performed a novel approach by testing for adaptive evolution in natural plant populations using the resurrection approach in combination with in-situ transplantations. I cultivated seedlings from ancestors (23 – 26 years old) and contemporary descendants of three perennial species (Melica ciliata, Leontodon hispidus and Clinopodium vulgare) from calcareous grasslands in the greenhouse and In Chapter III, I assessed the reproducibility of phenotypic differences between genotypes among three different growth facilities (climate chamber, greenhouse, and outdoor garden). I also evaluated differences in phenotypic expression between plants grown after one vs. two intermediate generations (i.e., refresher generations). I performed this experiment within the framework of the resurrection approach and compared ancestors and descendants of the same population of Leontodon hispidus.
I observed very strong differences among plants growing in the different growth facilities. I found a significant interaction between the growth facility and the temporal origin (ancestors vs. descendants): descendants had significantly larger rosettes than ancestors only in the greenhouse and they flowered significantly later than ancestors exclusively in the climate chamber. I did not find significant differences between intermediate generations within the growth facilities. Overall, Chapter III shows that the use of a particular experimental system can dictate the presence and magnitude of phenotypic differences. This implies that absence of evidence is not evidence of absence when it comes to investigating genetically based trait differentiation among plant origins (in space or time). Experimental systems should be carefully designed to provide meaningful conditions, ideally mimicking the environmental conditions of the population’s origins. Finally, growing a second intermediate generation did not impact the genetic differences of ancestors and descendants within the environments, supporting the idea that only one intermediate generation may be sufficient to reduce detectable parental and storage effects.
The resurrection approach allows a better understanding of rapid plant adaptation, but some limitations deserve to be highlighted. I only studied one population per species, and Chapters II and III only focus on one population of L. hispidus, which is also hampering generalizations, as adaptive potential can vary greatly among populations of the same species. I only compared the ancestral genotypes to one descendant sample with a long time span in between (26 – 28 years), which makes it hard to pinpoint the selection agents that caused the genetic differentiation among the sampling years. Hence, closely monitoring biotic and abiotic factors of the studied populations between the ancestral and descendant sampling in future studies, would make identifying the responsible selection pressures more precise. I also recommend sampling multiple populations over consecutive years to improve the robustness of results and make generalizations more approachable.Furthermore, combining the resurrection approach with other methods such as in-situ transplantations will be valuable to offset the limitation that adaptations cannot be proven under artificial conditions (e.g., in the greenhouse).
The nucleus reuniens drives hippocampal goal‑directed trajectory sequences for route planning
(2023)
Goal-directed spatial navigation requires accurate estimates of one’s position and destination, as well as careful planning of a route between them to avoid known obstacles in the environment. Despite its general importance across species, the neural circuitry supporting the ability for route planning remains largely unclear. Previous studies described that place cells in the hippocampal CA1 encode the animal's next movement direction (Wood et al., 2000; Ito et al., 2015) and upcoming navigational routes (Pfeiffer & Foster, 2013). However, it has been shown that part of the CA1 activity representing the animal’s future behaviors is not necessarily generated in the hippocampus, but is derived from the medial prefrontal cortex (PFC) via the nucleus reuniens of the thalamus (RE) (Ito et al., 2015). Notably, the importance of the PFC in navigation has been demonstrated in several studies, including the recent finding of a goal map in the orbitofrontal cortex (Basu et al., 2021). Therefore, I hypothesized that information flow from the PFC to CA1 via the RE plays a key role in route planning.
To assess the animals' route planning ability, I designed a new navigation task in which a rat has to navigate to a fixed target location from various starting positions in an arena. Furthermore, by adding an L-shaped wall in the maze and removing all light sources in the experimental room, this task forced the animals to plan a wall-avoiding route without relying on direct sensory perceptions. I confirmed that rats could learn this task successfully, memorizing the wall location and taking a smooth wall-avoidance route. To test the role of the RE, I inactivated RE neurons by expressing the inhibitory opsin SwiChR++, which resulted in a significant deficit in the animal’s route planning ability, taking a longer non-smooth path to the destination. By contrast, this manipulation did not affect navigation performance when a straight goal-directed route was available, suggesting a specific role of the RE in route planning. I further found that DREADDs-mediated inactivation of neurons in the bilateral hippocampi resulted in a similar deficit in route planning ability, implying cooperation between the RE and the hippocampus.
I finally examined the activity of hippocampal CA1 neurons with and without RE inactivation. While neurons in the hippocampus exhibited brief trajectory sequences corresponding to the animal’s subsequent goal-directed journey, I found that this goal-directed bias of trajectory events was significantly reduced by RE inactivation, likely associated with route-planning deficits in these animals.
Altogether, this dissertation demonstrates the role of the RE from both behavioral and neural coding perspectives, identifying a pivotal circuit element supporting the animal’s route-planning ability.
Biotechnological processes offer better production conditions for a wide variety of goods of industrial interest. The production of aromatic compounds, for example, involves molecules of great value for cosmetic, plastic, agrochemical and pharmaceutic industries. However, the yield of such processes frequently prevents a proper implementtation that would allow the replacement of traditional production processes.
Numerous rational engineering approaches have been attempted to enhance metabolic pathways associated with desired products. Unfortunately, genetic modifications and heterologous pathway expression often lead to a higher metabolic burden on the producing organisms, ultimately leading to reduced production levels and fitness.
This project utilised adaptive laboratory evolution to better understand the development of synthetic cooperative consortia, using S. cerevisiae as a model organism. Specifically, a synthetic cooperative consortium was developed around the exchange of lysine and tyrosine, which was subjected to adaptive laboratory evolution aiming to induce mutations that would improve the system’s fitness either by enhanced production or upgraded stress resistance. Consequently, the mutant strains isolated after the evolution rounds were sequenced to identify relevant variations that could be related to the growth and production phenotypes observed.
The insights derived from this project are expected to contribute to further developing synthetic cooperative consortia with utilitarian purposes.