Biologische Hochschulschriften (Goethe-Universität)
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Biodiversity is threatened worldwide because of ongoing habitat loss and fragmentation, overexploitation, pollution, biological invasions and a changing global climate. Due to the major importance of biological diversity for modern human living, efficient conservation and management strategies are required to protect endangered habitats and species. For this purpose, ambitious multilateral agreements on regional and global scale were declared to prevent biodiversity loss.
Efficient biomonitoring methods are required to adequately implement these biodiversity conventions. Species monitoring as a core activity in biodiversity research is an effective tool to assess the status of species and trends within habitats. Data collection can be obtained with visual, electronic or genetic surveys. Still, these monitoring programs can be expensive, laborious and inefficient for accurate species assessments. New techniques based on environmental DNA (eDNA) allows for the detection of DNA traces in environmental samples (soil, sediment, water and air samples) and open up new possibilities for species monitoring. The eDNA methodology enables detection of single species in a qualitative (presence/absence) or (semi-) quantitative way. eDNA metabarcoding approaches can be an effective community structure assessment method.
This thesis, located at the interface between experimental and applied research, illustrates the suitability of the eDNA methodology in applied biomonitoring using the example of the water-borne crayfish plague pathogen Aphanomyces astaci (Schikora 1906). The obtained results provide new insights into A. astaci sporulation dynamics in natural water courses. A. astaci sporulation is influenced by seasonal variation of water temperatures and life history traits (molting, activity, mating) of infected crayfish. The results also imply a high transmission risk of A. astaci spores during the complete year. This thesis compares two eDNA methods, which are successfully and consistently detecting A. astaci spores. Each approach is suitable for different biomonitoring tasks due to the method-specific requirements. The obtained results also reveal spatial variation in A. astaci occurance in the tested water bodies. A. astaci spore estimates are positively correlated with population density and pathogen loads of captured A. astaci- positive crayfish. eDNA results show a downstream zoospore transport of up to three kilometres distance from a distribution hot spot area of A. astaci-infected crayfish. The eDNA methodology is helpful in gaining reliable information on A. astaci occurrence in large water bodies. This information is urgently needed to initiate efficient management decisions for the conservation of European crayfish species.
eDNA-based methods such as for A. astaci detection are a useful complement for conventional monitoring and should have a strong impact on conservation policy. eDNA methodology will be helpful for the practical implementation of the main aims of key conservation agreements and thus will make important contributions to biodiversity protection.
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.
Transposable elements (TEs) are replicating genetic elementst hat comprise up to 50% of mammalian genomes. A specific class of TEs are retrotransposons that proliferate by transcription into a RNA intermediate, followed by genomic reintegration into another locus (so called “copy & paste” mechanism). Due to the lack of removal mechanisms and very rare parallel insertions, the presence of TE insertions at ortholgous genomic loci in multiple taxa provides a virtually homoplasy free phylogenetic marker. So far, developing phylogenetically informative markers from TE insertions has been a tedious work of testing hundreds of putative candidate loci in a trial-and error approach with low success rate. Hence, phylogenetic studies using TE insertions were often limited to a few dozen markers.
Recently, genome sequencing of multiple species using reference-mapping allowed the identification of genome-scale datasets of TE insertions. and made the ad-hoc development of phylogenetic informative markers possible. However, genome scale TE detection methods have rarely been applied to non model organisms in which data availability and quality is comparably limited. In this thesis, I developed the TeddyPi pipeline (TE detection and discovery for phylogenetic inference), a software tool that made it possible to obtain reliable genome-scale TE insertion data from low-coverage genomes. This was achieved by integrating the data from multiple TE and structural variation callers as well as applying a stringent filtering pipeline to exclude low-quality insertion calls. Whole-genome sequencing datasets of bears (Ursidae) and baleen whales (Mysticeti) were used to apply TE based phylogenetic inference and evaluate the method in comparison to sequence-based phylogenomic analyses.
In the bear genomes, TeddyPi identified 150,513 high-quality transposable element (TE) insertions, which allowed me to reconstruct the evolutionary history of bears despite extensive phylogenetic conflict (Lammers et al., 2017). The large number of detected TE insertions made also detailed network analyses possible that visualize the phylogenetic conflict. Experimental polymerase chain reaction (PCR) assays validated up to 93 % of the computationally identified TE loci and demonstrated the high accuracy of the dataset underlying the phylogenetic analyses.
Second, I present the initial genome sequencing of six baleen whales and a detailed investigation of their evolutionary history using TE insertions and established sequence-based phylogenomic methods. The taxon sampling of baleen whales included iconic species like the blue whale (Balaneoptera musculus) or the humpback whale (Megaptera novaengliae) (Árnason et al., 2018). A sequence-based reconstruction of the baleen whale species tree solved the long-debated phylogenetic position of the gray whale (Echrichtius robustus) within rorquals (Balaneopteridae) for the first time with high statistical support. Furthermore, the genome data made it possible to identify large extent of phylogenetic conflict for divergences during the radiation of rorquals that occurred 7-10 million years ago (Ma).
The phylogenomic analyses of 91,589 TE insertions in the whale genomes confirmed the sequence-based topology (Lammers et al., 2019). The quantification of phylogenetic signals obtained from the TE insertions revealed a high degree of discordance for the divergence of the gray whale and rorquals. Despite the large genome-scale dataset, statistical tests showed only marginal support for a bifurcating divergence of gray whales and the rorqual species. The limited statistical support for a strictly bifurcating tree obtained from genome-scale datasets of thousands of markers demonstrates the importance for including phylogenetic networks for displaying evolutionary divergences.
In conclusion, this thesis shows that identification of TE insertions from whole-genome resequencing provides plentiful and accurate phylogenomic markers. For the application in non model organisms, I provide a easy-to-use software to integrate multiple datasets from TE and structural variation callers in order to obtain reliable and ascertainment-bias free datasets. Detecting genome-scale datasets of TE insertions in two case studies demonstrates the applicability of this marker system for phylogenetic reconstruction and inferring phylogenetic conflict.
Der DNA-Translokator von T. thermophilus HB27, ebenso wie Typ-IV-Pili (T4P), sind Multiproteinkomplexe, die die Membranen und das Periplasma durchspannen. Sie sind ähnlich aufgebaut und enthalten identische Proteine. Der DNA-Translokator vermittelt Transport von DNA in das Zellinnere während der natürlichen Transformation. T4P sind filamentöse Zellorganellen, die an der inneren Membran assembliert werden und bis zu mehrere Mikrometer aus der Zelle hinausragen. Sie dienen der Anhaftung und Fortbewegung der Zellen auf Oberflächen.
Das Ziel dieser Arbeit war es, die Funktionen einzelner Komponenten der Komplexe und ihrer Proteindomänen bei der natürlichen Transformation, der T4P-Assemblierung und den durch T4P vermittelten Funktionen Adhäsion und „twitching motility“ aufzuklären.
Es sind neun Proteine bekannt, die eine duale Rolle als Komponenten des DNA-Translokators und des T4P spielen. Eines dieser Proteine ist die Assemblierungs-ATPase PilF, die Hexamere bildet. Diese cytoplasmatischen ATPase-Komplexe stellen die Energie für die Assemblierung der T4P bereit, ebenso wie für die Aufnahme freier DNA. Es ist jedoch bisher nicht geklärt, wie die durch PilF bereitgestellte Energie auf die anderen Komponenten des DNA-Translokators/T4P übertragen wird.
In dieser Arbeit konnte gezeigt werden, dass PilF an das cytoplasmatische Protein PilM des T4P und DNA-Translokators bindet. Zudem konnten Proteinkomplexe bestehend aus den Proteinen PilM, PilN und PilO heterolog produziert und aus Zellmembranen koisoliert werden. PilF interagierte mit diesen PilMNO-Komplexen via PilM. Diese Interaktionen führt zur Stimulierung der ATPase-Aktivität von PilF. Dies deutet an, dass PilM ein Kupplungsprotein ist, welches die Assemblierungs-ATPase PilF physisch und funktionell mit dem T4P/DNA-Translokator über den PilMNO-Komplex verbindet.
Neben PilF standen Präpiline von T. thermophilus im Fokus dieser Arbeit. Präpiline sind Vorläuferproteine, die zu Pilinen prozessiert werden und als solche dann die Untereinheiten der Pilus-Strukturen bilden.
Zusammenfassend konnten die Rollen einzelner Präpilin-ähnlicher Proteine bei T4P-assoziierten Funktionen geklärt werden und es konnten erste Analysen zur Charakterisierung des weitestgehend unbekannten Proteins ComZ durchgeführt werden. Desweiteren liefert diese Arbeit Hinweise darauf, dass die membranassoziierten Proteine PilM, PilN und PilO Kupplungsproteine sind, die PilF mit den periplasmatischen Komponenten des T4P/DNA-Translokators verbinden und dadurch die ATPase-Aktivität von PilF stimulieren. Die Rollen einzelner Proteindomänen von PilF und PilM bei der Protein-Protein-Interaktion und der Bindung von Liganden wurden aufgeklärt, sowie ihre Funktionen bei den T4P-vermittelten Funktionen und der natürlichen Transformation.
Autophagy, meaning “self-eating”, is an important cellular waste disposal mechanism. Thereby, damaged proteins, lipids and organelles are enclosed by autophagosomes and subsequently transported to the lysosomes for degradation into basic, cellular building blocks. Under basal conditions autophagy prevents the accumulation of defective and harmful material and generally promotes cell survival. However, several studies reported that hyperactivated autophagy, e.g. during developmental processes in lower eukaryotes, or during chemotherapeutic treatment of cancer cells, can also trigger cell death.
In recent years, autophagic cell death (ACD) has been considered as an alternative cell death pathway for tumor therapy, especially for solid tumors with high apoptosis resistance such as glioblastoma. Glioblastoma (GBM) is a very aggressive, malignant primary brain tumor with a median survival of ~ 15 months despite surgery and chemoradiotherapy. Accordingly, there is a great interest in improving GBM therapy through alternative cell death mechanisms. Interestingly, it has been shown that various substances, e.g. AT 101, cannabinoids and the combination of imipramine and ticlopidine (IM+TIC), induce ACD in GBM cells.
The aim of this project was to identify the underlying mechanisms of stress- and drug-induced ACD and its therapeutic potential for glioblastoma treatment. For detailed investigation of ACD, a CRISPR/Cas9-based approach was used to generate ATG5 and ATG7 knockouts as genetic models of autophagy deficiency. In a previous study of our lab it was demonstrated that administration of AT 101 triggers ACD in glioblastoma cells, which was associated with early mitochondrial fragmentation but no signs of apoptosis. Since mitochondrial fragmentation often precedes mitophagy, the first part of this thesis explored the potential role of mitophagy in AT 101-induced cell death.
ATG5-depleted cells confirmed that AT 101 induces ACD. In addition, treatment with AT 101 resulted in a pronounced mitochondrial depolarization, which was at least partly caused by the opening of the mitochondrial permeability pore. Global proteome analysis of AT 101-treated GBM cells revealed a robust decrease in mitochondrial protein clusters as well as a strong increase in the enzyme heme oxygenase-1 (HMOX1). Subsequent experiments for detailed investigation of mitophagy following AT 101 treatment (western blot, flow cytometric MTG and mt-mKeima, qRT-PCR of mitochondrial vs nuclear DNA) consistently indicated strong mitophagy induction by AT 101, which could be reduced by genetic or pharmacological inhibition of autophagy. Furthermore, siRNA-mediated knockdown experiments revealed that the selective mitophagy receptors BNIP3 and BNIP3L and the HMOX1 enzyme play an essential role in AT 101-induced mitophagy and subsequent cell death. Taken together, these data demonstrate that AT 101-induced mitochondrial dysfunction and HMOX1 induction synergize to promote excessive mitophagy with a lethal outcome in glioma cells.
The second part of this thesis focused on the identification of new substances that cause ACD and the investigation of the underlying cell death pathways. Using a cell death screen of the ENZO Screen-Well™ autophagy library in MZ-54 wild-type vs ATG5 and ATG7-depleted cells, loperamide, pimozide, and STF-62247 were identified as ACD-inducing agents. The increase of the autophagic flux and the induction of ACD by these substances was confirmed by using different ATG5 and ATG7 knockout cell lines and the already established positive control IM+TIC.
In contrast to AT 101, IM+TIC, STF-62247, loperamide and pimozide produced neither mitochondrial dysfunction nor mitophagy. Interestingly, it has been described that imipramine, loperamide and pimozide inhibit the lysosomal enzyme acid sphingomyelinase, which is associated with impaired lipid transport. Global proteome analysis and cholesterol staining confirmed that all four substances, but especially loperamide and pimozide, inhibit cellular lipid transport, leading to massive lipid accumulation in the lysosomes. In the further course of the experiments, the connection between defective lipid transport and autophagy was investigated in more detail. On the one hand, the defective lipid transport contributed to the induction of autophagy, on the other hand the massive accumulation of lipids led to lysosomal membrane damage, inhibition of lysosomal degradation at later time points and finally to a lysosomal cell death. Remarkably, it has been shown that hyperactivated autophagy by IM+TIC, loperamide and pimozide massively promotes lysosomal membrane damage. This result highlights the difficulties of a clear distinction between autophagic and lysosomal cell death.
In summary, two new signaling pathways that induce autophagic cell death in GBM cells and may be relevant for glioblastoma therapy were investigated in this study.
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.
BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders worldwide. As described in the DSM-5, ADHD is clinically heterogeneous with three main subtypes; predominant hyperactive, predominant attention deficit and combined. The severity of symptoms widely differs among the patients and interferes with the person functioning, negatively impacting social and occupational activities (American Psychiatric Association, 2013). Despite the many efforts, the etiology of the disorder is still unclear. Therefore, there is an increasing demand of models that would help elucidating the causative mechanisms of the disorder and, in parallel, would be valuable tools to discover new and effective treatments. The main goal of the study is the identification of disease specific cellular phenotypes related to Attention-Deficit/Hyperactivity Disorder (ADHD) in cellular models from patients carrying rare copy number variants (CNVs) in the PARK2 locus that have been previously associated with ADHD (Elia et al., 2010; Jarick et al., 2014).
METHODS: Human dermal fibroblast (HDF) cultures were obtained from skin punches and reprogrammed into human induced pluripotent stem cells (HiPSC) and successively induced to differentiate into HiPSC-derived dopaminergic neurons. Both HiPSC and HiPSC-derived neurons, were proven to be bona fide models by morphological analysis, RT-PCR, RT-qPCR, immunofluorescence, embryoid body assay, molecular karyotyping and dopamine level quantification. A total of six donors were selected for HiPSC and dopaminergic neuron generation: 3 adult ADHD PARK2 CNV risk carriers (1 duplication and 2 deletion carriers, 1 ADHD non-risk CNV variant carrier and 2 healthy controls).
We conducted stress-response experiments (nutrient deprivation and CCCP administration) that are well known to increase PARK2 expression, on both fibroblasts and HiPSC. After assessing PARK2 gene and protein expression levels, we evaluated the gene expression of genes that are involved with different processes orchestrated by PARK2. We then performed a series of assays with a special focus on mitochondrial function and energy metabolism (ATP production, basal oxygen consumption rates, ROS abundance) and evaluated changing in the mitochondrial network morphology.
To evaluate the effect of nicotine exposure, one of the best replicated prenatal risk factors for having a child later on diagnosed with ADHD, we treated HiPSC-derived dopaminergic neurons with smoking-relevant nicotine concentrations and evaluated PARK2 protein expression after treatment and gene expression by RNA sequencing.
RESULTS: The cell models created in this study passed all the characterization tests required to assess whether the lines can be considered bona fide models without underling genotype differences. The evaluation of patho-phenotypes connected with ADHD/PARK2 CNVs in HDF and HIPSC showed that, although PARK2 gene expression was unchanged, ADHD/PARK2 CNV carriers show different PARK2 protein levels possibly implying the presence of different post-transcriptional processes. ADHD/PARK2 CNV carriers show lower levels of ATP production and basal oxygen consumption rates compared to controls, a result in line with what was already reported in ADHD cybrids cells model (Verma et al., 2016). Our experiments indicate that both the amount of reactive oxygen species (ROS) and the mitochondrial network morphology is influenced by the treatment but not by the genotype. The evaluation of nicotine effects on HiPSC-derived dopaminergic neuron from aADHD patients showed no effects on PARK2 protein levels and gene expression. ADHD/PARK2 CNVs carriers show gene ontology enrichment in modules connected with the regulation of cell growth after nicotine acute treatment. Additionally, genes connected with energy production & oxidative stress response and extracellular matrix & cell adhesion were significantly differentially expressed after nicotine treatments.
CONCLUSIONS: This study points out the presence of impairment of mitochondrial energetics in cellular models derived from adult ADHD patients carrying rare CNVs within the PARK2 locus. In the last years, several studies have linked mitochondrial impairments to the etiology of psychiatric and neurodevelopmental disorders (McCann & Ross, 2018) and reported an overall increase of oxidative stress or insufficient response to oxidative damage both in children and adults with ADHD (Joseph, Zhang-James, Perl, & Faraone, 2015; Lopresti, 2015). Additionally, different groups have underlined an abnormal brain connectivity in ADHD patients in their work (Gehricke et al., 2017). Our preliminary investigation of the effects of a well-known prenatal risk factor for ADHD, nicotine gestation exposure, point out a susceptibility of the PARK2 CNVs carriers in processes involved in regulation of cell growth and in proteins connected with extracellular matrix composition and cell-adhesion molecules, all factors necessary for neuronal maturation and formation of proper neural connections (Washbourne et al., 2004). In conclusion, this study presents novel and fully validated cellular model systems to study the etiopathogenesis of ADHD based on rare CNVs in the PARK2 locus. Moreover, the identification of disease-relevant phenotypes in the model might be helpful in the future for testing new alternative medications.
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.