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Microsporidia are a group of parasites that infect a wide range of species, many of which play important roles in agriculture and human disease. At least 14 microsporidian species have been confirmed to cause potentially lifethreatening infectious diseases in both immunocompromised and immunocompetent humans. Approximately 1,400 species of microsporidia have been described. Depending on their host and habitat they are classified into three groups, the aquasporidia, the terresporidia and the marinosporidia.
Microsporidia were originally classified as fungi by Naegeli (1857). However, their lack of typical eukaryotic components – such as mitochondria, Golgi bodies or peroxisomes – suggested to place the microsporidia together with other amitochondriate protists within the Archezoa kingdom. This "microsporidia-early" hypothesis was further supported by molecular phylogenies inferred from individual genes. Despite this evidence, the placement of microsporidia as an early branching eukaryote remained a topic for debate. The phylogeny of microsporidia is prone to suffer from biases in their reconstruction. The high evolutionary rate of microsporidian proteins tends to place these proteins together with other fast evolving lineages, a phenomenon known as long-branch attraction. In 1996, the first molecular phylogenetic studies placed the microsporidia inside the fungi.
Subsequently, several further studies located the microsporidia at different positions inside the fungal clade. Since then, microsporidia have been considered as members of the Ascomycota, Zygomycota, Cryptomycota, or as a sister group to the Ascomycota and Basidiomycota, or even as the sister group of all fungi.
The difficulties in determining the evolutionary origin of microsporidia are not only caused by their lack of several cellular components but also by their reduced genomes and metabolism. Being obligate intracellular parasites, microsporidia successfully reduced their genome sizes, down to the range of bacteria. As the smallest eukaryotic genome described so far, the genome of Encephalitozoon intestinalis is just 2.3 Mbp, about half the size of the one of Escherichia coli. Due to their low number of protein coding genes (less than 4,000), microsporidia are thought to retain only genes essential for their survival and development. Furthermore, several key metabolic pathways are missing in the microsporidia, such as the citric acid cycle, oxidative phosphorylation, or the de novo biosynthesis of nucleotides. As a result they are in an obligatory dependence on many primary metabolites from the hosts. However, the presence of hsp70 protein suggests a more complex genome of the microsporidian ancestor. Consequently, the small microsporidian genomes and the reduced metabolism would be consequences of a secondary loss process that molded the contemporary microsporidia from a functionally more complex ancestral species. However, it remains unclear whether the last common ancestor (LCA) of the microsporidia was already reduced, or whether the genome compaction was lineage-specific and started from a more complex LCA.
We investigated the evolutionary history of the contemporary microsporidia through the reconstruction and analysis of their LCA. As a first step in our analysis, we have developed and implemented a software facilitating an intuitive data analysis of the large presence absence-patterns resulting from the tracing of microsporidian proteins in gene sets of many different species. These so called phylogenetic profiles can now be dynamically visualized and explored with PhyloProfile. The software allows the integration of other additional information layers into the phylogenetic profile, such as the similarity of feature architecture (FAS) between the protein under study and its orthologs. The FAS score can be displayed along the presence-absence pattern, which can help to identify orthologs that have likely diverged in function. PhyloProfile closes the methodological gap that existed between tools to generate large phylogenetic profiles to delineate the evolutionary history and the contemporary distribution of large – and ultimately complete – gene sets, and the more function-oriented analysis of individual protein. In the next step we tackled the problem of how to transfer functional annotation from one protein to another. We have developed HamFAS that integrates a targeted ortholog search based on the HaMStR algorithm with a weighted assessment of feature architecture similarities (FAS) between orthologs. In brief, for a seed protein we identify orthologs in reference species in which proteins have been functionally annotated based on manually curated assignments to KEGG Ortholog (KO) groups. The FAS scores between the orthologs and seed proteins are calculated. Subsequently, we compute pairwise FAS scores for all reference proteins within a KO group. A group's mean FAS score serves then as cutoff that must be exceeded to warrant transfer of its KO identifier to the seed. A benchmark using a manually curated yeast protein set showed that HamFAS yields the best precision (98.5%) when compared with two state-of-the-art annotation tools, KAAS and BlastKOALA. Furthermore, HamFAS achieves a higher sensitivity. On average HamFAS annotates almost 50% more proteins than KAAS or BlastKOALA.
With this extended bioinformatics toolbox at hand, we aimed at reconstructing the evolutionary history of the microsporidia. We generated a robust phylogeny of microsporidia using a phylogenomics approach. As a data basis, we identified a set of microsporidian proteins encoded by 80 core genes with one-to-one orthologs. A maximum likelihood analysis of this data
with 48 fungi and additionally in 13 species from more distantly related such as animals and plants combined in a supermatrix strongly supported the hypothesis that microsporidia form the sister group of the fungi. We confirmed that the data explains this microsporidia-fungi relationship significantly better than any other of the previously proposed phylogenetic hypotheses.
On the basis of this phylogeny, and of the phylogenetic profiles of microsporidian proteins, we then focused on reconstructing the dynamics microsporidian genome evolution. Between 2% of the proteins in the compact microsporidia Encephalitozoon intestinalis and up to 49% of the proteins of Edhazardia aedis are private for individual microsporidian species. A comparison of the sequence characteristics of these proteins to that of proteins with orthologs in other microsporidian species revealed individual differences. Yet, without further evidences it remains unclear whether these private genes are indeed lineage-specific innovations contributing to the adaptation of each microsporidium to its host, or whether these are artifacts introduced in the process of gene annotation. A total of 14,410 microsporidian proteins could then be grouped into 1605 orthologous groups that can be traced back to the last common ancestor of the microsporidia (LCA set). We found that 94% of the microsporidian LCA proteins could be tracked back to the last eukaryotic common ancestor. The high evolutionary age of these proteins, together with the resistance against gene loss in the microsporidia suggests that the corresponding functions are essential for eukaryotic life. Further 3% of the LCA proteins could be dated to the common ancestor microsporidia share with the fungi. Only 3% of the LCA proteins appear as microsporidia specific inventions. These proteins are potentially of importance for the evolutionary of the obligate parasitic lifestyle nowadays shared by all microsporidia.
The functional annotation and metabolic pathway analysis of the microsporidian LCA protein set gave us more insight into the adaptation of the microsporidia to their parasitic lifestyle and the origin of the microsporidian genome reduction. The presence of E1 and E3 components of the pyruvate dehydrogenase complex and the mitochondrial hsp70 protein support an ancestral presence of mitochondria in the ancestral microsporidia. In addition, several ancient proteins that complement gapped metabolic pathways were found in the microsporidian LCA. They suggested a more complex genome and metabolism in the LCA. However, our reconstruction of the metabolic network of the microsporidian LCA still lacks many main pathways. For example, the TCA cycle for effective energy production, and key enzymes that are required for in vivo synthesis of critical metabolites like purines and pyrimidines appear absent. We therefore find that the parasitic lifestyle and the genome reduction already occurred in the microsporidian LCA. This ancestral state was followed by further losses and gains during the evolution of each individual microsporidian lineage.
Background: Altered neuronal development is discussed as the underlying pathogenic mechanism of autism spectrum disorders (ASD). Copy number variations of 16p11.2 have recurrently been identified in individuals with ASD. Of the 29 genes within this region, quinolinate phosphoribosyltransferase (QPRT) showed the strongest regulation during neuronal differentiation of SH-SY5Y neuroblastoma cells. We hypothesized a causal relation between this tryptophan metabolism-related enzyme and neuronal differentiation. We thus analyzed the effect of QPRT on the differentiation of SH-SY5Y and specifically focused on neuronal morphology, metabolites of the tryptophan pathway, and the neurodevelopmental transcriptome.
Methods: The gene dosage-dependent change of QPRT expression following Chr16p11.2 deletion was investigated in a lymphoblastoid cell line (LCL) of a deletion carrier and compared to his non-carrier parents. Expression of QPRT was tested for correlation with neuromorphology in SH-SY5Y cells. QPRT function was inhibited in SH-SY5Y neuroblastoma cells using (i) siRNA knockdown (KD), (ii) chemical mimicking of loss of QPRT, and (iii) complete CRISPR/Cas9-mediated knock out (KO). QPRT-KD cells underwent morphological analysis. Chemically inhibited and QPRT-KO cells were characterized using viability assays. Additionally, QPRT-KO cells underwent metabolite and whole transcriptome analyses. Genes differentially expressed upon KO of QPRT were tested for enrichment in biological processes and co-regulated gene-networks of the human brain.
Results: QPRT expression was reduced in the LCL of the deletion carrier and significantly correlated with the neuritic complexity of SH-SY5Y. The reduction of QPRT altered neuronal morphology of differentiated SH-SY5Y cells. Chemical inhibition as well as complete KO of the gene were lethal upon induction of neuronal differentiation, but not proliferation. The QPRT-associated tryptophan pathway was not affected by KO. At the transcriptome level, genes linked to neurodevelopmental processes and synaptic structures were affected. Differentially regulated genes were enriched for ASD candidates, and co-regulated gene networks were implicated in the development of the dorsolateral prefrontal cortex, the hippocampus, and the amygdala.
Conclusions: In this study, QPRT was causally related to in vitro neuronal differentiation of SH-SY5Y cells and affected the regulation of genes and gene networks previously implicated in ASD. Thus, our data suggest that QPRT may play an important role in the pathogenesis of ASD in Chr16p11.2 deletion carriers.
Fatty acids (FAs) are considered strategically important platform compounds that can be accessed by sustainable microbial approaches. Here we report the reprogramming of chain-length control of Saccharomyces cerevisiae fatty acid synthase (FAS). Aiming for short-chain FAs (SCFAs) producing baker’s yeast, we perform a highly rational and minimally invasive protein engineering approach that leaves the molecular mechanisms of FASs unchanged. Finally, we identify five mutations that can turn baker’s yeast into a SCFA producing system. Without any further pathway engineering, we achieve yields in extracellular concentrations of SCFAs, mainly hexanoic acid (C6-FA) and octanoic acid (C8-FA), of 464 mg l−1 in total. Furthermore, we succeed in the specific production of C6- or C8-FA in extracellular concentrations of 72 and 245 mg l−1, respectively. The presented technology is applicable far beyond baker’s yeast, and can be plugged into essentially all currently available FA overproducing microorganisms.
In conclusion, I described for the first time the in vivo functions of PAK2 during cardiac development and its requirement for heart contractility
AIM1 – Characterization of Pak2a and Pak2b functions during cardiovascular system development: description of the phenotype triggered by the loss of expression of pak2b in the pak2a mutant Firstly, in addition to the confirmation of the published data regarding the pak2a mutant and morphant phenotype, I showed that pak2bbns159 mutant does not exhibit morphological defects, neither in the ISV formation nor in the brain vascular patterning. More importantly, I analyzed in more details the phenotypic consequences of pak2a and pak2b loss of expression in the trunk and brain vasculatures. Indeed, the lack of blood flow in the embryos, was associated with central arteries migration defects and reduced lumen in these central arteries and the ISVs. Moreover, pak2a and pak2b loss of expression resulted in cardiac failure.
AIM2 – Role of Pak2 on cardiac contractility From 40 -46 hpf, I found a weaker heart contractility in the pak2ami149/mi149;pak2bbns159/bns159. Although, the PAK proteins have been shown to impact the actin cytoskeleton organization, the heart morphological defects associated with the altered contractility, were not associated with acto-myosin filament reorganization. However, by analyzing in more details the structure of the sarcomeres, I was able to demonstrate that the proteins constituting the sarcomeres were strongly affected and showed an altered spatial organization. Then, I also described the effects of the loss of expression of both paralogs on the junctional protein localization. I demonstrated the loss of Pak2 function resulted in junction protein rearrangement in the cardiomyocytes in the pak2ami149/mi149;pak2bbns159/bns159 mutants at 40 and 46 hpf.
Thus, I was able for the first time to demonstrate in vivo PAK2 functions during cardiac development and its requirement for proper cardiac contractility activity.
AIM3 – Decipher mechanism of Pak2 signaling cascade involved during cardiac development Both pak2a and pak2b WT mRNAs were able to rescue the pak2ami149/mi149;pak2bbns159/bns159 mutant heart defects and the results indicated that these paralogs share overlapping function during cardiac development. Moreover, although I was not able to examine the control transgenic lines, myocardial and endothelial specific pak2a overexpression did not ameliorate the mutant cardiac deficiency. Thus,the absence of rescue by reactivating pak2a in cardiomyocytes indicates a non-cell autonomous function of Pak2a on cardiomyocytes.
For the first time, this study allowed to follow PAK2 in vivo functions during cardiovascular development. More importantly, its role on heart contractility regulation would enable further investigations to generate new tools for the treatment of cardiomyopathies.
Neurogenesis of hippocampal granule cells (GCs) persists throughout mammalian life and is important for learning and memory. How newborn GCs differentiate and mature into an existing circuit during this time period is not yet fully understood. We established a method to visualize postnatally generated GCs in organotypic entorhino-hippocampal slice cultures (OTCs) using retroviral (RV) GFP-labeling and performed time-lapse imaging to study their morphological development in vitro. Using anterograde tracing we could, furthermore, demonstrate that the postnatally generated GCs in OTCs, similar to adult born GCs, grow into an existing entorhino-dentate circuitry. RV-labeled GCs were identified and individual cells were followed for up to four weeks post injection. Postnatally born GCs exhibited highly dynamic structural changes, including dendritic growth spurts but also retraction of dendrites and phases of dendritic stabilization. In contrast, older, presumably prenatally born GCs labeled with an adeno-associated virus (AAV), were far less dynamic. We propose that the high degree of structural flexibility seen in our preparations is necessary for the integration of newborn granule cells into an already existing neuronal circuit of the dentate gyrus in which they have to compete for entorhinal input with cells generated and integrated earlier.
Three-dimensional multicellular aggregates such as spheroids provide reliable in vitro substitutes for tissues. Quantitative characterization of spheroids at the cellular level is fundamental. We present the first pipeline that provides three-dimensional, high-quality images of intact spheroids at cellular resolution and a comprehensive image analysis that completes traditional image segmentation by algorithms from other fields. The pipeline combines light sheet-based fluorescence microscopy of optically cleared spheroids with automated nuclei segmentation (F score: 0.88) and concepts from graph analysis and computational topology. Incorporating cell graphs and alpha shapes provided more than 30 features of individual nuclei, the cellular neighborhood and the spheroid morphology. The application of our pipeline to a set of breast carcinoma spheroids revealed two concentric layers of different cell density for more than 30,000 cells. The thickness of the outer cell layer depends on a spheroid’s size and varies between 50% and 75% of its radius. In differently-sized spheroids, we detected patches of different cell densities ranging from 5 × 105 to 1 × 106 cells/mm3. Since cell density affects cell behavior in tissues, structural heterogeneities need to be incorporated into existing models. Our image analysis pipeline provides a multiscale approach to obtain the relevant data for a system-level understanding of tissue architecture.
Lunapark (Lnp) is a conserved membrane protein that localizes to and stabilizes three-way junctions of the tubular ER network. In higher eukaryotes, phosphorylation of Lnp may contribute to the conversion of the ER from tubules to sheets during mitosis. Here, we report on the reconstitution of purified Lnp with phospholipids. Surprisingly, Lnp induces the formation of stacked membrane discs. Each disc is a bicelle, with Lnp sitting in the bilayer facing both directions. The interaction between bicelles is mediated by the cytosolic domains of Lnp, resulting in a constant distance between the discs. A phosphomimetic Lnp mutant shows reduced bicelle stacking. Based on these results, we propose that Lnp tethers ER membranes in vivo in a cell cycle–dependent manner. Lnp appears to be the first membrane protein that induces the formation of stacked bicelles.
Polyploidie in Prokaryoten
(2018)
Diese Arbeit teilt sich in drei Teile auf, die sich mit der Regulation der Polyploidie sowie mit der Genkonversion als evolutionären Vorteil von Polyploidie in Haloferax volcanii beschäftigen.
Im ersten Teil dieser Arbeit, wurde der Einfluss der DNA-Replikationsinitiatorproteine Orc1/Cdc6 auf das Ploidielevel untersucht. Hierbei konnte anhand von Deletionsmutanten zunächst gezeigt werden, dass lediglich drei der 16 Orc1/Cdc6-Proteine in H. volcanii essentiell sind. Bestimmung des Ploidielevels mittels qPCR-Analyse ergab, dass jedes der 12 untersuchten Orc1/Cdc6-Proteine das Ploidielevel mindestens eines Replikons beeinflusst und dementsprechend sowohl die mit einem Replikationsursprung assoziierten als auch die „verwaisten“ Orc1/Cdc6-Proteine eine Funktion haben. Die mit einem Replikationsursprung assoziierten Orc1/Cdc6-Proteine hatten hierbei keinen größeren Einfluss auf das Ploidielevel als die „verwaisten“. Zusätzlich konnte durch Wachstumsanalysen in Mikrotiterplatten gezeigt werden, dass die meisten Deletionsmutanten unter allen getesteten Bedingungen ein mit dem Wildtyp vergleichbares oder besseres Wachstum zeigen. Eine Deletionsmutante eines Orc1/Cdc6-Proteins hingegen zeigte nur verbessertes Wachstum bei Glukose als Kohlenstoffquelle, was ein Hinweis auf die Verwendung verschiedener Orc1/Cdc6-Proteine unter verschiedenen Bedingungen sein könnte. Zusätzlich wurden zwei mit dem Replikationsursprung assoziierte Orc1/Cdc6-Proteine überexprimiert und via ihres N-terminalen His-Tag im Western-Blot nachgewiesen, sodass diese nun für Co-Affinitätsaufreinigungen zur weiteren Charakterisierung des komplexen Zusammenspiels der Orc1/Cdc6-Proteine zur Verfügung stehen.
Im Rahme des zweiten Teils der Arbeit wurde der Einfluss der in der 5‘-Region der der Replikationsursprünge ori1 und ori2 kodierten Proteine auf Wachstum und die Kopienzahl des Hauptchromosoms bestimmt. Zunächst wurde die Expression der drei in Haloarchaea hoch-konservierten oap-Gene upstream von ori1 mittels Nothern-Blot untersucht und es konnte gezeigt werden, dass das oap-Operon tatsächlich als Operon abgelesen wird. Um alle Gene in den 5‘-Regionen von ori1 und ori2 genauer zu charakterisieren, wurden induzierbare Überexpressionsmutanten im Wildtyp-Hintergrund angefertigt. Es konnte mittels Wachstumsversuchen in Mikrotiterplatten gezeigt werden, dass bei Induktion von Beginn an die Überexpression der Hef-Helikase und des oapB-Proteins zu einem starken Wachstumsdefekt führen, die von oapC und HVO_1724 zu einem moderaten Wachstumsdefekt, wohingegen für die Überexpressionsmutante von oapA vergleichbares Wachstum zum Wildtyp und für die Überexpression der Rad25d-Helikase verbessertes Wachstum beobachtet werden konnte. Es konnte darüber hinaus gezeigt werden, dass sowohl die Deletion als auch die Überexpression der Helikasen keinen Einfluss auf das Ploidielevel hat; die Deletion von oapC führt jedoch zu einer Reduktion der Genomkopienzahl in exponentieller und stationärer Phase, was ein erster Hinweis darauf ist, dass das oap-Operon eine Rolle bei der Regulation des Ploidielevels spielen könnte.
Im dritten Teil der Arbeit wurde eine Methode entwickelt, um Genkonversion farblich sichtbar zu machen. Hierbei wurde sich H. volcaniis Carotinoidbiosynthese zu Nutze gemacht. Es wurden zwei verschiedene, auxotrophe Elternstämme mittels Protoplastenfusion verschmolzen, um eine heterozygote Tochterzelle zu erzeugen. Ein Genkonversionsereignis wurde durch einen roten Keil angezeigt, der aus einer weißen Kolonie wuchs und durch die erfolgreiche Reparatur des Carotinoidbiosynthesegens entstand. Es wurden insgesamt 8525 Klone ausgestrichen und 0,14 % der Kolonien zeigten eine entsprechende rote Färbung. Das Proof-of-Principle dieser Methode ist in damit in dieser Arbeit gelungen. Um die Genkonversion in den weißen Kolonien auf genetischer Ebene genauer zu untersuchen, wurde PCR verwendet. Es konnte gezeigt werden, dass in den Zellen aller 135 untersuchten Kolonien Genkonversion stattgefunden hatte und zwar so effizient, dass nur in seltenen Fällen Heterozygotie vorlag. Unter Selektionsdruck stehende Loci hatten in beiden untersuchten Fällen eine starke Präferenz in Richtung Homozygotie und Erhalt der Prototrophie. Für nicht unter Selektionsdruck stehende Loci konnte gezeigt werden, dass die Hälfte der untersuchten Kolonien dem Elternstamm 1 glich, während die andere Hälfte dem Elternstamm 2 glich. Auch hier waren die Zellen nur in seltenen Fällen homozygot.
Background: Long non-coding RNAs (lncRNAs) represent a novel class of non-coding RNAs having a crucial role in many biological processes. The identification of long non-coding homologs among different species is essential to investigate such roles in model organisms as homologous genes tend to retain similar molecular and biological functions. Alignment–based metrics are able to effectively capture the conservation of transcribed coding sequences and then the homology of protein coding genes. However, unlike protein coding genes the poor sequence conservation of long non-coding genes makes the identification of their homologs a challenging task.
Results: In this study we compare alignment–based and alignment–free string similarity metrics and look at promoter regions as a possible source of conserved information. We show that promoter regions encode relevant information for the conservation of long non-coding genes across species and that such information is better captured by alignment–free metrics. We perform a genome wide test of this hypothesis in human, mouse, and zebrafish.
Conclusions: The obtained results persuaded us to postulate the new hypothesis that, unlike protein coding genes, long non-coding genes tend to preserve their regulatory machinery rather than their transcribed sequence. All datasets, scripts, and the prediction tools adopted in this study are available at https://github.com/bioinformatics-sannio/lncrna-homologs.