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The entire chemical modification repertoire of yeast ribosomal RNAs and the enzymes responsible for it have recently been identified. Nonetheless, in most cases the precise roles played by these chemical modifications in ribosome structure, function and regulation remain totally unclear. Previously, we demonstrated that yeast Rrp8 methylates m1A645 of 25S rRNA in yeast. Here, using mung bean nuclease protection assays in combination with quantitative RP-HPLC and primer extension, we report that 25S/28S rRNA of S. pombe, C. albicans and humans also contain a single m1A methylation in the helix 25.1. We characterized nucleomethylin (NML) as a human homolog of yeast Rrp8 and demonstrate that NML catalyzes the m1A1322 methylation of 28S rRNA in humans. Our in vivo structural probing of 25S rRNA, using both DMS and SHAPE, revealed that the loss of the Rrp8-catalyzed m1A modification alters the conformation of domain I of yeast 25S rRNA causing translation initiation defects detectable as halfmers formation, likely because of incompetent loading of 60S on the 43S-preinitiation complex. Quantitative proteomic analysis of the yeast Δrrp8 mutant strain using 2D-DIGE, revealed that loss of m1A645 impacts production of specific set of proteins involved in carbohydrate metabolism, translation and ribosome synthesis. In mouse, NML has been characterized as a metabolic disease-associated gene linked to obesity. Our findings in yeast also point to a role of Rrp8 in primary metabolism. In conclusion, the m1A modification is crucial for maintaining an optimal 60S conformation, which in turn is important for regulating the production of key metabolic enzymes.
The entire chemical modification repertoire of yeast ribosomal RNAs and the enzymes responsible for it have recently been identified. Nonetheless, in most cases the precise roles played by these chemical modifications in ribosome structure, function and regulation remain totally unclear. Previously, we demonstrated that yeast Rrp8 methylates m1A645 of 25S rRNA in yeast. Here, using mung bean nuclease protection assays in combination with quantitative RP-HPLC and primer extension, we report that 25S/28S rRNA of S. pombe, C. albicans and humans also contain a single m1A methylation in the helix 25.1. We characterized nucleomethylin (NML) as a human homolog of yeast Rrp8 and demonstrate that NML catalyzes the m1A1322 methylation of 28S rRNA in humans. Our in vivo structural probing of 25S rRNA, using both DMS and SHAPE, revealed that the loss of the Rrp8-catalyzed m1A modification alters the conformation of domain I of yeast 25S rRNA causing translation initiation defects detectable as halfmers formation, likely because of incompetent loading of 60S on the 43S-preinitiation complex. Quantitative proteomic analysis of the yeast Δrrp8 mutant strain using 2D-DIGE, revealed that loss of m1A645 impacts production of specific set of proteins involved in carbohydrate metabolism, translation and ribosome synthesis. In mouse, NML has been characterized as a metabolic disease-associated gene linked to obesity. Our findings in yeast also point to a role of Rrp8 in primary metabolism. In conclusion, the m1A modification is crucial for maintaining an optimal 60S conformation, which in turn is important for regulating the production of key metabolic enzymes.
The basidiomycete smut fungi are predominantly plant parasitic, causing severe losses in some crops. Most species feature a saprotrophic haploid yeast stage, and several smut fungi are only known from this stage, with some isolated from habitats without suitable hosts, e.g. from Antarctica. Thus, these species are generally believed to be apathogenic, but recent findings that some of these might have a plant pathogenic sexual counterpart, casts doubts on the validity of this hypothesis. Here, four Pseudozyma genomes were re-annotated and compared to published smut pathogens and the well-characterised effector gene Pep1 from these species was checked for its ability to complement a Pep1 deletion strain of Ustilago maydis. It was found that 113 high-confidence putative effector proteins were conserved among smut and Pseudozyma genomes. Among these were several validated effector proteins, including Pep1. By genetic complementation we show that Pep1 homologs from the supposedly apathogenic yeasts restore virulence in Pep1-deficient mutants Ustilago maydis. Thus, it is concluded that Pseudozyma species have retained a suite of effectors. This hints at the possibility that Pseudozyma species have kept an unknown plant pathogenic stage for sexual recombination or that these effectors have positive effects when colonising plant surfaces.
Summary statement When echolocating under demanding conditions e.g. noisy, narrow space, or cluttered environments, frugivorous bats adapt their call pattern by increasing the call rate within biosonar groups.
Abstract For orientation, echolocating bats emit biosonar calls and use echoes arising from call reflections. They often pattern their calls into groups which increases the rate of sensory feedback over time. Insectivorous bats emit call groups at a higher rate when orienting in cluttered compared to uncluttered environments. Frugivorous bats increase the rate of call group emission when they echolocate in noisy environments. Here, calls emitted by conspecifics potentially interfere with the bat’s biosonar signals and complicate the echolocation behavior. To minimize the information loss followed by signal interference, bats may profit from a temporally increased sensory acquisition rate, as it is the case for the call groups. In frugivorous bats, it remains unclear if call group emission represents an exclusive adaptation to avoid interference by signals from other bats or if it represents an adaptation that allows to orient under demanding environmental conditions. Here, we compared the emission pattern of the frugivorous bat Carollia perspicillata when the bats were flying in noisy versus silent, narrow versus wide or cluttered versus non-cluttered corridors. According to our results, the bats emitted larger call groups and they increased the call rate within the call groups when navigating in narrow, cluttered, or noisy environments. Thus, call group emission represents an adaptive behavior when the bats orient in complex environments.
Orthologs document the evolution of genes and metabolic capacities encoded in extant and ancient genomes. Orthologous genes that are detected across the full diversity of contemporary life allow reconstructing the gene set of LUCA, the last universal common ancestor. These genes presumably represent the functional repertoire common to – and necessary for – all living organisms. Design of artificial life has the potential to test this. Recently, a minimal gene (MG) set for a self-replicating cell was determined experimentally, and a surprisingly high number of genes have unknown functions and are not represented in LUCA. However, as similarity between orthologs decays with time, it becomes insufficient to infer common ancestry, leaving ancient gene set reconstructions incomplete and distorted to an unknown extent. Here we introduce the evolutionary traceability, together with the software protTrace, that quantifies, for each protein, the evolutionary distance beyond which the sensitivity of the ortholog search becomes limiting. We show that the LUCA set comprises only high-traceable proteins most of which have catalytic functions. We further show that proteins in the MG set lacking orthologs outside bacteria mostly have low traceability, leaving open whether their eukaryotic orthologs have just been overlooked. On the example of REC8, a protein essential for chromosome cohesion, we demonstrate how a traceability-informed adjustment of the search sensitivity identifies hitherto missed orthologs in the fast-evolving microsporidia. Taken together, the evolutionary traceability helps to differentiate between true absence and non-detection of orthologs, and thus improves our understanding about the evolutionary conservation of functional protein networks.
Cardiac trabeculation is one of the essential processes required for the formation of a competent ventricular wall, whereby clusters of ventricular cardiomyocytes (CMs) from a single layer delaminate and expand into the cardiac jelly to form sheet-like projections in the developing heart (Samsa et al., 2013). Several congenital heart diseases are associated with defects in the formation of these trabeculae and lead to embryonic lethality (Jenni et al., 1999; Zhang et al., 2013, Jenni et al., 2001; Towbin 2010). It has been experimentally shown that lack of Nrg1/ErbB2/ErbB4, Angipoetin1/Tie2, EphrinB2/B4, BMP10, or any component of the Notch signaling pathway can cause defective trabeculation. Moreover, changes in blood flow and/or contractility can also affect trabeculation (Samsa et al., 2013). Together, these observations demonstrate that cardiac trabeculation is a highly dynamic and regulated process.
Trabeculation is a morphogenetic process that requires control over cell shape changes and rearrangements, similar to those observed during EMT. Epithelial cells within an epithelium are polarized and establish cell-cell junctions with the neighboring cells (Ikenouchi et al., 2003; Ferrer-vaquer et al., 2010), thus epithelial cell polarity is an important feature to maintain cell shape and tissue structure. During developmental processes such as cell migration and cell division or in disease states epithelial polarity might be disrupted. As a consequence of this alteration, cells lose their tight cell-cell adhesions, undergo cytoskeletal rearrangements, change their shape and gain migratory properties becoming mesenchymal cells (Micalizzi et al., 2010). In epithelial cells, apicobasal polarity is regulated by a conserved set of core complexes, including the PAR, Scribble and Crumbs complexes (Kemphues et al., 1988; Bilder and Perrimon, 2000; Teppas et al., 1984). The polarity proteins composing these complexes interact in a well organized and coordinated-manner creating molecular asymmetry along the apicobasal axis of the cell. In turn, this crosstalk regulates the maturation and stabilization of the junctions between cells and cytoskeleton in order to strengthen cell polarization (Roignot et al., 2013). Amongst the different polarity complex, Crumbs has been shown to be a key regulator of apicobasal polarity during development in both vertebrates and invertebrates (Tepass et al., 1990; Fan et al., 2004).
Here, taking advantage of zebrafish as a model organism, I study in vivo at single cell resolution changes in CM apicobasal polarity during cardiac trabeculation. Moreover, I show which factors regulate CM apicobasal polarity during this process. In addition, I dissect the role of the polarity complex Crumbs in regulating CM junctional rearrangements and the formation of the trabecular network.
In the 'Golden Age of Antibiotics', between 1940 and 1970, the global pharmaceutical companies discovered many antibiotics, such as cephalosporins, tetracyclines, aminoglycosides, glycopeptides, etc., as well as antifungal and antiparisitic agents. Due to several reasons, e.g. the steady re-discovery of already known NPs and the associated high costs, many pharmaceutical companies have significantly scaled back or totally abandoned their NP discovery programs since the late 20th century. Instead those companies started to focus on drug discovery based on combinatorial synthesis and thereby on the creation of enormous synthetic libraries containing small molecules. Unfortunately, this synthetic approach dealing with the optimization of existing NP or antibiotic has its limitations. As a result, leading pharmaceutical companies are re-conducting NPs research to discover new antimicrobials for the upcoming antimicrobial resistance threat. The Natural Product Center of Excellence, a collaboration between Sanofi-Aventis and Fraunhofer IME, is advancing in this context the discovery and development of novel antimicrobial agents for the treatment of infectious diseases through the testing of Sanofi's microbial extract library and strain collection. The aim of the present PhD thesis was the discovery and isolation of novel antimicrobial compounds with improved activities and/or novel MOAs as potential lead compound for a further drug discovery.
Structured illumination microscopy (SIM) is part of the super-resolution methods developed at the beginning of this century. To produce a super-resolution image SIM requires three things: 1) illumination of the sample with a periodic pattern, 2) acquisition of multiple images per plane under different pattern’s phases and orientations and 3) the processing of these images has to be carried with a reconstruction algorithm. The result of the reconstruction is an image with a resolution gain that is proportional to the frequency of the pattern (po). The typical SIM set-up uses an epi-fluorescence configuration, thus the interference angle of the beams that create the pattern is restricted by the angular aperture of the objective. Under this restriction the maximum value of po is given by the cut-off frequency of the objective lens and sets at 2 the maximum resolution gain of SIM under linear illumination.
In the first part of this thesis we present the implementation and characterization of the 2D-SIM set-up designed by Dr. Bo-Jui Chang (B-J. Chang et al., PNAS 2017), this design exploits the concept introduced by light-sheet microscopy, i.e. separation of illumination and detection paths to obtain resolution gains larger than the usual two-fold (Chapter 3). The set-up is named coherent structured illumination light-sheet based fluorescence microscopy (csiLSFM) and it consists of a triangular array of three objectives, such that two are used for illumination and one for detection. With the independent illumination arms is possible to interfere two coherent light-sheets at angles beyond the angular aperture of the detection lens, attaining the maximum interference angle of 180° when the light-sheets counter-propagate. This condition delivers a pattern with a po 1.4 times larger than the cut-off frequency (ωo), hence our set-up provides generic resolution gains of 2.4.
The extraction of the high spatial frequencies that produce the resolution gain in the csiLSFM is a challenge due to a low pattern modulation. The low modulation inherently arises because the frequency associated to the pattern period lies beyond the cut-off frequency of the detection lens. To overcome this challenge we developed a filtering strategy that facilitates the withdrawal of information from a SIM data set, simultaneously the proposed filtering process optimizes the reconstruction algorithm by reducing the periodic artifacts that are recurrent in SIM images. In this same chapter we also performed an spectral analysis of the artifacts and determined that they originate from irregularities in the power spectrum that occur due to the partial or total lack of certain spatial frequencies (fig.4.2 and 4.3), our reconstruction reduces this information drops and diminishes the artifact occurrence. The relevance of our reconstruction pipeline is that it delivers a standardized process to enhance the SIM image in a current context in which the commonly used reconstruction algorithms employ empirical tuning to improve it (fig.4.13). Moreover, the pipeline is applicable to the csiLSFM data and also to images acquired with any other 2D-/3D-SIM set-up (fig.4.10 and 4.11).
The processing of various image data sets acquired with the csiLSFM exposed us to the question of how low the modulation of the illumination pattern can be before no super-resolution frequencies can be extracted. Answering this question is important to guarantee that the SIM data contains enough spatial frequencies to provide significant resolution gains. Thus in chapter 5 we developed a quantitative metric to indirectly determine the pattern modulation from the SIM data and find its critical value to use it as evaluation criterion. We called this metric the quality factor (Q-factor) and it represents the normalized strength (amplitude) of the extracted frequencies respect to the Gaussian noise contained in the images. Through simulations we estimated that Q=0.11 is a critical value and a SIM data set requires this as minimum value is to deliver a significant resolution gain. Q works then as an assessment tool for classifying SIM data as optimal or sub-optimal, i.e. Q≥0.11 or Q<0.11. We demonstrated such application with data acquired in various SIM commercial set-ups to prove its feasibility in the field (fig.5.6-5.11)
As mentioned at the beginning of this abstract SIM requires a specialized set-up and a processing algorithm to produce super-resolution images. This thesis contributes to these two areas in the following aspects: first, in its linear version a structured illumination microscope is highly associated to a 2-fold resolution gain. Here we demonstrated the possibility of extending this gain to 2.4 using our custom set-up the csiLSFM. Second, a reconstructed SIM image is prone to artifacts due to the mathematical process it undergoes, here we analyzed the artifact sources and identified them with drops of spatial information in the reconstructed spectrum, based on these conclusions we designed a processing pipeline to facilitate the extraction of spatial frequencies and directly reduce artifacts. A third and final outcome of this thesis is the development and practical implementation of a quantitative index to evaluate the quality of SIM data in terms of its relevant information content (Q-factor). Accordingly, the overall contributions of this work were done in the areas of SIM set-up, SIM reconstruction procedure and SIM data evaluation.
Die Analyse von DNA-Sequenzen steht spätestens seit der Feststellung ihrer tragenden Rolle in der Vererbung organismischer Eigenschaften im Fokus biologischer Fragestellungen. Seit Kurzem wird mit modernsten Methoden die Untersuchung von kompletten Genomen ermöglicht. Dies eröffnet den Zugang zu genomweiten Informationen gegenüber begrenzt aussagekräftigen markerbasierten Analysen. Eine Genomsequenz ist die ultimative Quelle an organismischer Information. Allerdings sind diese Informationen oft aufgrund technischer und biologischer Gründe komplex und werfen meist mehr Fragen auf, als sie beantworten.
Die Rekonstruktion einer bislang unbekannten Genomsequenz aus kurzen Sequenzen stellt eine technische Herausforderung dar, die mit grundlegenden, aber in der Realität nicht zwingend zutreffenden Annahmen verbunden ist. Außerdem können biologische Faktoren, wie Repeatgehalt oder Heterozygotie, die Fehlerrate einer Assemblierung stark beeinflussen. Die Beurteilung der Qualität einer de novo Assemblierung ist herausfordernd, aber zugleich äußerst notwendig. Anschließend ist eine strukturelle und funktionale Annotation von Genen, kodierenden Bereichen und repeats nötig, um umfangreiche biologische Fragestellungen beantworten zu können. Ein qualitativ hochwertiges und annotiertes assembly ermöglicht genomweite Analysen von Individuen und Populationen. Diese Arbeit beinhaltet die Assemblierung und Annotation des Genoms der Süßwasserschnecke Radix auricularia und eine Studie vergleichender Genomik von fünf Individuen aus verschiedenen molekularen Gruppen (MOTUs).
Mollusken beherbergen nach den Insekten die größte Artenvielfalt innerhalb der Tierstämme und besiedeln verschiedenste, teils extreme, Habitate. Trotz der großen Bedeutung für die Biodiversitätsforschung sind verhältnismäßig wenige genomische Daten öffentlich verfügbar. Zudem sind Arten der Gattung Radix auch aufgrund ihrer großen geografischen Verbreitung in diversen biologischen Disziplinen als Modellorganismen etabliert. Eine annotierte Genomsequenz ermöglicht über bereits untersuchte Felder hinaus die Forschung an grundlegenden biologischen Fragestellungen, wie z.B. die Funktionsweise von Hybridisierung und Artbildung. Durch Assemblierung und scaffolding von sechs whole genome shotgun Bibliotheken verschiedener insert sizes und einem transkriptbasiertem scaffolding konnte trotz des hohen Repeatgehalts ein vergleichsweise kontinuierliches assembly erhalten werden. Die erhebliche Differenz zwischen der Gesamtlänge der Assemblierung und der geschätzten Genomgröße konnte zum Großteil auf kollabierte repeats zurückgeführt werden.
Die strukturelle Annotation basierend auf Transkriptomen, Proteinen einer Datenbank und artspezifisch trainierten Genvorhersagemodellen resultierte in 17.338 proteinkodierenden Genen, die etwa 12,5% der geschätzten Genomgröße abdecken. Der Annotation wird u.a. aufgrund beinhaltender Kernrthologen, konservierter Proteindomänenarrangements und der Übereinstimmung mit de novo sequenzierten Peptiden eine hohe Qualität zugesprochen.
Das mapping der Sequenzen von fünf Radix MOTUs gegen die R. auricularia Assemblierung zeigte stark verringerte coverage außerhalb kodierender Bereiche der nicht-Referenz MOTUs aufgrund hoher Nukleotiddiversität. Für 16.039 Gene konnten Topologien berechnet werden und ein Test auf positive Selektion ausgeführt werden. Insgesamt konnte über alle MOTUs hinweg in 678 verschiedenen Genen positive Selektion detektiert werden, wobei jede MOTU ein nahezu einzigartiges Set positiv selektierter Gene beinhaltet. Von allen 16.039 untersuchten Genen konnten 56,4% funktional annotiert werden. Diese niedrige Rate wird vermutlich durch Mangel an genomischer Information in Mollusken verursacht. Anschließende Analysen auf Anreicherungen von Funktionen sind deshalb nur bedingt repräsentativ.
Neben den biologischen Ergebnissen wurden Methoden und Optimierungen genomischer Analysen von Nichtmodellorganismen entwickelt. Dazu zählen eigens angefertigte Skripte, um beispielsweise Transkriptomalignments zu filtern, Trainings eines Genvorhersagemodells automatisiert und parallelisiert auszuführen und Orthogruppen bestimmter Arten aus einer Orthologievorhersage zu extrahieren. Zusätzlich wurden Abläufe entwickelt, um möglichst viele vorhandene Daten in die Assemblierung und Annotation zu integrieren. Etwa wurde ein zusätzliches scaffolding mit eigens assemblierten Transkripten mehrerer MOTUs sequenziell und phylogenetisch begründet ausgeführt.
Insgesamt wird eine umfassende und qualitativ hochwertige Genomsequenz eines Süßwassermollusken präsentiert, welche eine Grundlage für zukünftige Forschungsprojekte z.B. im Bereich der Biodiversität, Populationsgenomik und molekularen Ökologie bietet. Die Ergebnisse dieser Arbeit stellen einen Wissenszuwachs in der Genomik von Mollusken dar, welche bisher trotz ihrer Artenvielfalt deutlich unterrepräsentiert bezüglich assemblierter und annotierter Genome auffallen.
In times of a growing world population and the associated demand for high crop yield, the understanding and improvement of plant reproduction is of central importance. One key step of plant reproduction is the development of the male gametophyte, which is better known as pollen. In addition, the development of pollen was shown to be very sensitive to abiotic stresses, such as heat, which can cause crop damage and yield loss. To obtain new insights in the development and heat stress response of pollen, a combined transcriptome and proteome analysis was performed for three pollen developmental stages of non- and heat-stressed tomato plants.
The analysis of the transcriptomes of non-stressed pollen developmental stages enabled the determination of mRNAs accumulated in certain developmental stages. The functional analysis of these mRNAs led to the identification of protein families and functional processes that are important at different times of pollen development. A subsequent comparison of the transcriptomes of non- and heat-stressed pollen revealed a core set of 49 mRNAs, which are upregulated in all three developmental stages. The encoded proteins include among other things different heat stress transcription factors and heat shock proteins, which are known key players of the plant heat stress response.
Furthermore, 793 potential miRNAs could be identified in the transcriptome of non- and heat-stressed pollen. Interestingly, 38 out of the 793 miRNAs have already been identified in plants. For more than half of these miRNAs potential target mRNAs were identified and the interactions between miRNAs and mRNAs linked to the development and heat stress response of pollen. In total, 207 developmentally relevant interactions could be determined, out of which 34 have an effect on transcriptional-networks. In addition, 24 of the interactions contribute the heat stress response of pollen, whereby this mainly affects post-meiotic pollen.
An initial correlation of the proteome and transcriptome of the developmental stages revealed that transcriptome analyses are not sufficient to draw exact conclusions about the state of the proteome. A closer look on the relationship of the transcriptome and proteome during pollen development revealed two translational modes that are active during the development of pollen. One mode leads to a direct translation of mRNAs, while the second mode leads a delayed translation at a later point in time. Regarding the delayed translation, it could be shown that this is likely due to a short-term storage of mRNAs in so-called EPPs. The comparison of the proteome and transcriptome response to heat stress revealed that the proteome reacts much stronger and that the reaction is mainly independent from the transcriptome. Finally, the comparison of the proteome of non- and heat-stressed pollen provided first indications for changes in the ribosome composition in response to heat stress, as 57 ribosomal proteins are differentially regulated in at least one developmental stage.