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Microbial species (bacteria and archaea) in the gut are important for human health in various ways. Not only does the species composition vary considerably within the human population, but each individual also appears to have its own strains of a given species. While it is known from studies of bacterial pan-genomes, that genetic variation between strains can differ considerably, such as in Escherichia coli, the extent of genetic variation of strains for abundant gut species has not been surveyed in a natural habitat. This is mainly due to the fact that most of these species cannot be cultured in the laboratory. Genetic variation can range from microscale genomic rearrangements such as small nucleotide polymorphism (SNP) to macroscale large genomic rearrangements like structural variations. Metagenomics offers an alternative solution to study genetic variation in prokaryotes, as it involves DNA sequencing of the whole community directly from the environment. However, most metagenomic studies to date only focus on variation in gene abundance and hence are not able to characterize genetic variation (in terms of presence or absence of SNPs and genes) of gut microbial strains of individuals.
The aim of my doctorate studies was therefore to study the extent of genetic variation in the genomic sequence of gut prokaryotic species and its phenotypic effects based on: (1) the impact of SNP variation in gut bacterial species, by focusing on genes under selective pressure and (2) the gene content variation (as a proxy for structural variation) and their effect on microbial species and the phenotypic traits of their human host.
In the first part of my doctorate studies, I was involved in a project in which we created a catalogue of 10.3 million SNPs in gut prokaryotic species, based on metagenomes. I used this to perform the first SNP-based comparative study of prokaryotic species evolution in a natural habitat. Here, I found that strains of gut microbial species in different individuals evolve at more similar rates than the strains within an individual. In addition, I found that gene evolution can be uncoupled from the evolution of its originating species, and that this could be related to selective pressure such as diet, exemplified by galactokinase gene (galK). Despite the individuality (i.e. uniqueness of each individual within the studied metagenomic dataset) in the SNP profile of the gut microbiota that we found, for most cases it is not possible to link SNPs with phenotypic differences. For this reason I also used gene content as a proxy to study structural variation in metagenomes.
In the second part of my doctorate studies, I developed a methodology to characterize the variability of gene content in gut bacterial species, using metagenomes. My approach is based on gene deletions, and was applied to abundant species (demonstrated using a set of 11 species). The method is sufficiently robust as it captures a similar range of gene content variability as has been detected in completely sequenced genomes. Using this procedure I found individuals differ by an average of 13% in their gene content of gut bacterial strains within the same species. Interestingly no two individuals shared the same gene content across bacterial species. However, this variation corresponds to a lower limit, as it is only accounts for gene deletion and not insertions. This large variation in the gene content of gut strain was found to affect important functions, such as polysaccharide utilization loci (PULs) and capsular polysaccharide synthesis (CPS), which are related with digestion of dietary fibers.
In summary, I have shown that metagenomics based approaches can be robust in characterizing genetic variation in gut bacterial species. I also illustrated, using examples both for SNPs and gene content (galK, PULs and CPS), that this genetic variation can be used to predict the phenotypic characteristics of the microbial species, as well as predicting the phenotype of their human host (for example, their capacity to digest different food components). Overall, the results of my thesis highlight the importance of characterizing the strains in the gut microbiome analogous to the emerging variability and importance of human genomics.
A large variety of sex determination systems have been described in fish. However, almost no information is available about sex determination in the classical fish models, the zebrafish Danio rerio and the pufferfish Takifugu rubripes. A DNA-binding protein gene called dmrt1bY (or DMY) has been recently described as an outstanding candidate for the primary sex-determining gene in the medaka fish Oryzias latipes. But this gene is not the universal master sex-determining gene in teleost fish, since dmrt1bY is not found in most other fishes. Hence, other fish models need to be examined including the platyfish Xiphophorus maculatus. Xiphophorus maculatus has three types of sex chromosomes (X, Y and W; females are XX, WX or WY; males are XY or YY). Its gonosomes are at an early stage of differentiation. The sex-determining locus on the sex chromosomes is flanked by two receptor tyrosine kinase genes, the Xmrk oncogene and its protooncogenic progenitor gene egfrb, which both delimit a region of about 0.6 centiMorgans. This situation should allow the positional cloning of the sex-determining gene (SD) of the platyfish. For this purpose, Bacterial Artificial Chromosome (BAC) contigs were assembled from a BAC library of XY males constructed in our laboratory, using the oncogene Xmrk, egfrb, as well as a Y-specific pseudogene called ps-criptY as starting points. The ps-criptY sequence was found to be closely linked to the SD gene, since no recombination was observed between SD and ps-criptY in more than 400 individuals tested. Two major BAC contigs for the X chromosome (about 2.5 Mb) and three major BAC contigs for the Y chromosome (about 3.5 Mb) were built up and analyzed by strategic sequencing. These are some of the largest contigs ever assembled for the sex chromosomes of a non-mammalian vertebrate species. The molecular analysis of the ps-criptY contig was the major objective of this work. The Y-specific ps-criptY contig has been extended over 1 Mb in this work with 58 identified molecular markers. Approximatively 700 kb of non-redundant sequences has been obtained from this contig by strategic sequencing. Numerous Y-linked markers from the contig including ps-criptY were also detected on the X chromosome. Nevertheless, major structural differences were observed between the X and Y chromosomes. Particularly, a large region, which is present at one copy on the X chromosome and contains several candidate genes, was found to be duplicated on the Y chromosome. Evidence for an inversion in the sex-determining region and for the Y-specific accumulation of a repeated sequence called XIR was also obtained. Such events might correspond to an initiation of differentiation between both types of gonosomes. Accumulation of transposable elements was also observed in the ps-criptY contig. A DNA transposable element, helitron, was isolated from the sex-determining region of X. maculatus. Three copies of helitron are located on the ps-criptY contig and one copy on the X-linked contig (helitron has roughly 15 copies per haploid genome). No in-frame stop codon, truncation or intron was found in these four copies, which present high nucleotide identities to each other. This suggests that helitron elements might be active or have been recently active in X. maculatus. A consensus open reading frame of helitron was also assembled from medaka (Oryzias latipes) genomic sequences. Two candidate genes from the ps-criptY contig are also located on the W chromosome in the X. maculatus Usumacinta strain (heterogamety). These markers show the relationship between the different types of gonosomes and allow to compare the male and female heterogameties in the platyfish. Several gene candidates were identified in the ps-criptY contig. However, some of them such as msh2, cript, igd and acr probably correspond to pseudogenes. Interestingly, a novel gene, called swimy, is exclusively expressed in spermatogonia of the adult testis. Swimy is a gene encoding a DNA-binding protein with several putative DNA-binding domains. The data suggest that swimy is a very promising candidate for the master SD gene. Another novel gene, which is called fredi and encodes a novel helix-turn-helix protein, is predominately expressed in the adult testis and currently under scrutiny. There is no doubt that the master SD gene of X. maculatus will be identified by positional cloning. Further molecular analysis of the contigs built in this work will shed new light on the molecular mechanism of sex determination and the evolution of sex chromosomes in fish.
Honeybees can easily be trained to perform different types of discrimination tasks under controlled laboratory conditions. This review describes a range of experiments carried out with free-flying forager honeybees under such conditions. The research done over the past 30 or so years suggests that cognitive abilities (learning and perception) in insects are more intricate and flexible than was originally imagined. It has become apparent that honeybees are capable of a variety of visually guided tasks, involving decision making under challenging situations: this includes simultaneously making use of different sensory modalities, such as vision and olfaction, and learning to use abstract concepts such as “sameness” and “difference.” Many studies have shown that decision making in foraging honeybees is highly flexible. The trained animals learn how to solve a task, and do so with a high accuracy, but when they are presented with a new variation of the task, they apply the learnt rules from the earlier setup to the new situation, and solve the new task as well. Honeybees therefore not only feature a rich behavioral repertoire to choose from, but also make decisions most apt to the current situation. The experiments in this review give an insight into the environmental cues and cognitive resources that are probably highly significant for a forager bee that must continually make decisions regarding patches of resources to be exploited.
Single-molecule (SM) fluorescence microscopy allows the imaging of biomolecules in cultured cells with a precision of a few nanometres but has yet to be implemented in living adult animals. Here we used split-GFP (green fluorescent protein) fusions and complementation-activated light microscopy (CALM) for subresolution imaging of individual membrane proteins in live Caenorhabditis elegans (C. elegans). In vivo tissue-specific SM tracking of transmembrane CD4 and voltage-dependent Ca(2+) channels (VDCC) was achieved with a precision of 30 nm within neuromuscular synapses and at the surface of muscle cells in normal and dystrophin-mutant worms. Through diffusion analyses, we reveal that dystrophin is involved in modulating the confinement of VDCC within sarcolemmal membrane nanodomains in response to varying tonus of C. elegans body-wall muscles. CALM expands the applications of SM imaging techniques beyond the petri dish and opens the possibility to explore the molecular basis of homeostatic and pathological cellular processes with subresolution precision, directly in live animals.
Purified mitochondrial DNA (mitDNA) from ovaries ofXenopus lae vis was injected into the nuclei (germinal vesicles) of large viteUogenic oocytes of the same organism and examined by electron microscopy ofthe spread nuclear contents. Normally located nuclei of untreated oocytes as weil as peripherally translocated nuclei of centrifuged oocytes were used. In addition, oocyte nuclei isolated and incubated under liquid paraffin oil were injected with DNA. The integrity oftranscriptional structures of endogenous chromosomal (Iampbrush chromosomes) and extrachromosomal (nucleoli) genes of the injected nuclei was demonstrated. Microinjected mitDN A was identified as circles of chromatin exhibiting polynucleosome-like organization and a me an contour length of 2.6 J.Lm, corresponding to a compaction ratio of the mitDN A of about 2 : I. This DNA packing ratio is similar to that observed after preparation of various kinds of native chromatin in low salt buffers. The chromatin circles formed from injected mitDNA only very rarely exhibited lateral fibrils suggestive of transcriptional activity. These results suggest that purified mitDNA can be transformed to normally structured chromatin when exposed to oocyte nuclear contents but is rarely , if at all , transcribed in this form and in this environment.
On the existence of arrested transcriptional machinery in late stages of avian erythropoiesis
(1976)
No abstract available
Computer Science approaches (software, database, management systems) are powerful tools to boost research. Here they are applied to metabolic modelling in infections as well as health care management. Starting from a comparative analysis this thesis shows own steps and examples towards improvement in metabolic modelling software and health data management. In section 2, new experimental data on metabolites and enzymes induce high interest in metabolic modelling including metabolic flux calculations. Data analysis of metabolites, calculation of metabolic fluxes, pathways and their condition-specific strengths is now possible by an advantageous combination of specific software. How can available software for metabolic modelling be improved from a computational point of view? A number of available and well established software solutions are first discussed individually. This includes information on software origin, capabilities, development and used methodology. Performance information is obtained for the compared software using provided example data sets. A feature based comparison shows limitations and advantages of the compared software for specific tasks in metabolic modeling. Often found limitations include third party software dependence, no comprehensive database management and no standard format for data input and output. Graphical visualization can be improved for complex data visualization and at the web based graphical interface. Other areas for development are platform independency, product line architecture, data standardization, open source movement and new methodologies. The comparison shows clearly space for further software application development including steps towards an optimal user friendly graphical user interface, platform independence, database management system and third party independence especially in the case of desktop applications. The found limitations are not limited to the software compared and are of course also actively tackled in some of the most recent developments. Other improvements should aim at generality and standard data input formats, improved visualization of not only the input data set but also analyzed results. We hope, with the implementation of these suggestions, metabolic software applications will become more professional, cheap, reliable and attractive for the user. Nevertheless, keeping these inherent limitations in mind, we are confident that the tools compared can be recommended for metabolic modeling for instance to model metabolic fluxes in bacteria or metabolic data analysis and studies in infection biology. ...
This article is about a measurement analysis based approach to help software practitioners in managing the additional level complexities and variabilities in software product line applications. The architecture of the proposed approach i.e. ZAC is designed and implemented to perform preprocessesed source code analysis, calculate traditional and product line metrics and visualize results in two and three dimensional diagrams. Experiments using real time data sets are performed which concluded with the results that the ZAC can be very helpful for the software practitioners in understanding the overall structure and complexity of product line applications. Moreover the obtained results prove strong positive correlation between calculated traditional and product line measures.
Dynamic interactions and their changes are at the forefront of current research in bioinformatics and systems biology. This thesis focusses on two particular dynamic aspects of cellular adaptation: miRNA and metabolites.
miRNAs have an established role in hematopoiesis and megakaryocytopoiesis, and platelet miRNAs have potential as tools for understanding basic mechanisms of platelet function. The thesis highlights the possible role of miRNAs in regulating protein translation in platelet lifespan with relevance to platelet apoptosis and identifying involved pathways and potential key regulatory molecules. Furthermore, corresponding miRNA/target mRNAs in murine platelets are identified. Moreover, key miRNAs involved in aortic aneurysm are predicted by similar techniques. The clinical relevance of miRNAs as biomarkers, targets, resulting later translational therapeutics, and tissue specific restrictors of genes expression in cardiovascular diseases is also discussed.
In a second part of thesis we highlight the importance of scientific software solution development in metabolic modelling and how it can be helpful in bioinformatics tool development along with software feature analysis such as performed on metabolic flux analysis applications. We proposed the “Butterfly” approach to implement efficiently scientific software programming. Using this approach, software applications were developed for quantitative Metabolic Flux Analysis and efficient Mass Isotopomer Distribution Analysis (MIDA) in metabolic modelling as well as for data management. “LS-MIDA” allows easy and efficient MIDA analysis and, with a more powerful algorithm and database, the software “Isotopo” allows efficient analysis of metabolic flows, for instance in pathogenic bacteria (Salmonella, Listeria). All three approaches have been published (see Appendices).
Embryonale Stammzellen (ESCs) sind durch zwei charakteristische Eigenschaften definiert. Neben einer kontinuierlichen Selbsterneuerungskapazität weisen ESCs die Fähigkeit auf, in alle Zelltypen der drei Keimblätter differenzieren zu können. Diese Eigenschaften werden unter anderem durch ein Netzwerk wichtiger Pluripotenzfaktoren als auch durch epigenetische Mechanismen reguliert, welche die Transkription von Pluripotenz- und Differenzierungsgenen kontrollieren.
In murinen ESCs sind an der Repression von Differenzierungsgenen auch Polycomb group (PcG) Proteine beteiligt. Diese Proteine bauen zwei Chromatin-modifizierende Komplexe auf, die als Polycomb repressive complex 1 bzw. 2 (PRC1 bzw. PRC2) bezeichnet werden. Nach dem klassischen Modell der Polycombfunktion, katalysieren PRC1 und PRC2 gemeinsam zwei charakteristische Histonmodifikationen, die zur Repression PRC-spezifischer Zielgene beitragen. Zahlreiche Studien in den letzten Jahren belegen, dass der Proteinaufbau der PRC1 Komplexe stark variieren kann, wobei die Familie der Polycomb group RING finger (Pcgf) Proteine eine wichtige Rolle spielt. In diesem Zusammenhang definieren einzelne Pcgf Paraloge (Pcgf1 – 6) verschiedene PRC1 Varianten (PRC1.1 – 1.6), die Komplex-spezifische Bindestellen im Genom aufweisen. Diese Erkenntnisse lassen auf unterschiedliche Mechanismen der PRC1 Varianten und Pcgf Paralog-spezifische Funktionen schließen, die zum jetzigen Zeitpunkt nur wenig erforscht sind.
Für manche Pcgf Paraloge sind wichtige Rollen in verschiedenen Stammzelltypen und während der iPS Reprogrammierung bekannt. Pcgf1 (Nspc1), Pcgf2 (Mel18) und Pcgf4 (Bmi1) zeigen eine Funktion in verschiedenen adulten Stammzellen. Pcgf4 spielt darüber hinaus eine wichtige Rolle in der murinen iPS Reprogrammierung. Für Pcgf6 (Mblr) wird eine Pluripotenz-assoziierte Funktion angenommen, denn Pcgf6 ist das einzige Pcgf Paralog, das eine erhöhte Expression in murinen ESCs aufweist, die jedoch im Verlauf der ESC-Differenzierung absinkt. Außerdem zeigen murine Pcgf6 KD ESCs eine verminderte Expression der Pluripotenzgene Oct4, Sox2 und Nanog, eine De-Repression mesodermaler und Testes-spezifischer Gene als auch eine erhöhte Tendenz zur hämatopoetischen Differenzierung. Wie genau Pcgf6 an der Regulation dieser Prozesse in murinen ESCs beteiligt ist, ist nicht bekannt.
In der hier vorliegenden Dissertation wurde die Funktion von Pcgf6 in der murinen iPS Reprogrammierung untersucht. Da bereits für Pcgf4 eine Rolle in der Reprogrammierung somatischer Zellen gezeigt wurde und Pcgf6 eine erhöhte Expression in ESCs aufweist, wurde auch für Pcgf6 eine Funktion in der iPS Reprogrammierung angenommen. Zunächst konnte in dieser Arbeit gezeigt werden, dass Pcgf6 während der iPS Reprogrammierung verstärkt exprimiert wird und in iPS Zellen eine ESC-ähnliche Expression aufweist. Darüber hinaus konnte Pcgf6 in Kombination mit Oct4, Klf4 und c-Myc spezifisch den Transkriptionsfaktor Sox2 in der iPS Reprogrammierung ersetzen. Zudem wurden für OPKM-induzierte iPS Zellen charakteristische Eigenschaften pluripotenter Zellen nachgewiesen. Außerdem konnte eine Rolle von Pcgf6 als Enhancer-Faktor für die iPS Reprogrammierung ausgeschlossen werden, da die Überexpression von Pcgf6 zusammen mit den OSKM Faktoren keine additiven Effekte auf die Reprogrammierungseffizienz erzielte. Im Gegensatz dazu führte der Knockdown (KD) von Pcgf6 in embryonalen Mausfibroblasten (MEFs) zu verminderten Effizienzen nach OSKM Reprogrammierung. Darüber hinaus handelte es sich bei der Mehrheit der AP+ Kolonien, die unter Pcgf6 KD Konditionen entstanden, um partiell-reprogrammierte iPS Zellen.
Zusammengefasst zeigen die Ergebnisse der hier vorliegenden Arbeit, dass Pcgf6 ein neuer und essentieller Faktor der iPS Reprogrammierung ist, der in Kombination mit Oct4, Klf4 und c-Myc spezifisch den Transkriptionsfaktor Sox2 ersetzen kann.
Die molekularen Mechanismen der Wirt-Parasit-Interaktion bei der durch den Zestoden Echinococcus multilocularis ausgelösten Erkrankung der alveolären Echinokokkose sind bislang ungeklärt. Zudem liegen keine Daten über Entwicklungs- und Differenzierungsmechanismen dieses Parasiten vor, die für die Entwicklung neuer Antiparasitika genutzt werden könnten. Ein bei der Evolution der Metazoen bereits frühzeitig entstandener Signaltransduktionsmechanismus zur Steuerung von Entwicklungsvorgängen ist das TGFβ/BMP-System, das aus strukturell verwandten Zytokinen der TGFβ (transforming growth factor β) bzw. BMP (bone morphogenetic protein)-Familie, oberflächenständigen Rezeptoren der TGFβ-Rezeptorfamilie (Typ I und Typ II) und intrazellulären Signaltransduktoren der Smad-Familie besteht. Außer an Entwicklungsvorgängen tierischer Organismen könnte diesem System eine wichtige Rolle bei der Wirt-Helminth-Kommunikation während Infektionsprozessen zukommen, wie in vorherigen Studien am Nematoden Brugia malayi und am Trematoden Schistosoma mansoni gezeigt werden konnte. Erste, wichtige Schritte zur Charakterisierung von TGFβ und BMP-Signalsystemen in Zestoden wurden in der vorliegenden Arbeit getan. Aufbauend auf einem vorherigen Bericht zu einem Transmembranrezeptor (EmRSK1) und einem Smad-Homologen (EmSmadA) aus Echinococcus multilocularis wurde die Liste der TGFβ/BMP Signaltransduktionsfaktoren in E. multilocularis in dieser Arbeit deutlich erweitert und erstmals umfangreiche funktionelle Studien durchgeführt. Die hier charakterisierten Faktoren umfassen zwei weitere Serin/Threonin-Kinasen der TGFβ/BMP-Rezeptorfamilie (EmRSK2, EmRSK3) sowie intrazelluläre Transduktoren der R-Smad-Subfamilie (EmSmadB, EmSmadC) und ein Homologes zur MAP-kinase-kinase-kinase TAK1 (TGFβ activated kinase 1), genannt EmTAK1. Zudem konnte erstmals für einen parasitären Helminthen ein Zytokin der BMP-Subfamilie, EmBMP, auf molekularer Ebene charakterisiert werden. Strukturelle und funktionelle Untersuchungen legen nahe, dass E. multilocularis sowohl ein TGFβ wie auch ein BMP-Signalsystem exprimiert. Ersteres wird sehr wahrscheinlich durch die Kinase EmRSK2 und den Smad-Faktor EmSmadC gebildet, letzteres durch EmRSK1 und EmSmadB. EmSmadA nimmt eine Sonderstellung ein, da es sowohl durch TGFβ- wie auch durch BMP-Rezeptoren aktiviert werden kann. Die genaue Rolle von EmRSK1 und EmTAK1 wäre durch weitere Untersuchungen zu klären. Signifikante funktionelle Homologien zwischen den TGFβ/BMP-Signalsystemen des Parasiten und Säugern konnten nachgewiesen werden, die sich u.a. darin äußern, dass die Echinococcus Smad-Proteine durch entsprechende Rezeptoren des Menschen aktiviert werden können. Darüber hinaus konnten jedoch auch einige deutliche Unterschiede zwischen den Systemen aus Parasit und Wirt nachgewiesen werden, die sich als Angriffspunkte zur Entwicklung von Chemotherapeutika eignen könnten. So fehlt den Smad-Faktoren EmSmadA und EmSmadC eine MH1-Domäne, die sonst unter allen R-Smads hoch konserviert ist. Zudem sind einige bislang noch nie beschriebene, strukturelle Besonderheiten der Echinococcus TGFβ/BMP-Rezeptoren zu verzeichnen. Auch die Regulation dieser Faktoren und die Kreuz-Interaktion mit weiteren intrazellulären Signalwegen (z.B. der MAP Kinase Kaskade) scheint in E. multilocularis anders zu verlaufen als bislang für Vertebraten, Insekten oder Nematoden beschrieben. Schließlich konnte, als sehr wichtiger Befund, auch nachgewiesen werden dass mindestens ein Rezeptor des Parasiten, EmRSK1, mit einem Zytokin des Wirts (BMP2) in vitro funktionell interagiert. Da BMP2 in Zellkultursystemen, die das Wachstum des Parasiten am befallenen Wirtsorgan nachstellen, einen deutlichen Effekt auf E. multilocularis ausübt, könnte die hier beschriebene EmRSK1/BMP2 – Interaktion von entscheidender Bedeutung für die Wirt-Parasit-Interaktion bei der alveolären Echinokokkose sein.
During infection, bacteria need to adapt to a changing environment and have to endure various stress conditions. Small non-coding RNAs are considered as important regulators of bacterial gene expression and so allow quick adaptations by altering expression of specific target genes. Regulation of gene expression in the human-restricted pathogen Neisseria gonorrhoeae, the causative agent of the sexually transmitted disease gonorrhoea, is only poorly understood. The present study aims a better understanding of gene regulation in N. gonorrhoeae by studying small non-coding RNAs.
The discovery of antisense RNAs for all opa genes led to the hypothesis of asRNA-mediated degradation of out-of-frame opa transcripts. Analysis of asRNA expression revealed a very low abundance of the transcripts and inclusion of another phase-variable gene in the study indicates that the asRNAs are not involved in degradation of out-of-frame transcripts.
This doctoral thesis focuses on the analysis of trans-acting sRNAs. The sibling sRNAs NgncR_162 and NgncR_163 were discovered as post-transcriptional regulators altering expression of genes involved in metabolic processes, amino acid uptake and transcriptional regulation. A more detailed analysis by in silico and transcriptomic approaches showed that the sRNAs regulate a broad variety of genes coding for proteins of central metabolism, amino acid biosynthesis and degradation and several transport processes. Expression levels of the sibling sRNAs depend on the growth phase of the bacteria and on the growth medium. This indicates that NgncR_162 and NgncR_163 are involved in the adaptation of the gonococcal metabolism to specific growth conditions.
This work further initiates characterisation of the sRNA NgncR_237. An in silico analysis showed details on sequence conservation and a possible secondary structure. A combination of in silico target prediction and differential RNA sequencing resulted in the identification of several target genes involved in type IV pilus biogenesis and DNA recombination. However, it was not successful to find induction conditions for sRNA expression. Interestingly, a possible sibling sRNA could be identified that shares the target interaction sequence with NgncR_237 and could therefore target the same mRNAs.
In conclusion, this thesis provides further insights in gene regulation by non-coding RNAs in N. gonorrhoeae by analysing two pairs of sibling sRNAs modulating bacterial metabolism or possibly type IV pilus biogenesis.
Invasive fungal infections (IFIs) are difficult to diagnose and to treat and, despite several available antifungal drugs, cause high mortality rates. In the past decades, the incidence of IFIs has continuously increased. More recently, SARS-CoV-2-associated lethal IFIs have been reported worldwide in critically ill patients. Combating IFIs requires a more profound understanding of fungal pathogenicity to facilitate the development of novel antifungal strategies. Animal models are indispensable for studying fungal infections and to develop new antifungals. However, using mammalian animal models faces various hurdles including ethical issues and high costs, which makes large-scale infection experiments extremely challenging. To overcome these limitations, we optimized an invertebrate model and introduced a simple calcofluor white (CW) staining protocol to macroscopically and microscopically monitor disease progression in silkworms (Bombyx mori) infected with the human pathogenic filamentous fungi Aspergillus fumigatus and Lichtheimia corymbifera. This advanced silkworm A. fumigatus infection model could validate knockout mutants with either attenuated, strongly attenuated or unchanged virulence. Finally, CW staining allowed us to efficiently visualize antifungal treatment outcomes in infected silkworms. Conclusively, we here present a powerful animal model combined with a straightforward staining protocol to expedite large-scale in vivo research of fungal pathogenicity and to investigate novel antifungal candidates.
Eye structure, activity rhythms, and visually-driven behavior are tuned to visual niche in ants
(2014)
Insects have evolved physiological adaptations and behavioral strategies that allow them to cope with a broad spectrum of environmental challenges and contribute to their evolutionary success. Visual performance plays a key role in this success. Correlates between life style and eye organization have been reported in various insect species. Yet, if and how visual ecology translates effectively into different visual discrimination and learning capabilities has been less explored. Here we report results from optical and behavioral analyses performed in two sympatric ant species, Formica cunicularia and Camponotus aethiops. We show that the former are diurnal while the latter are cathemeral. Accordingly, F. cunicularia workers present compound eyes with higher resolution, while C. aethiops workers exhibit eyes with lower resolution but higher sensitivity. The discrimination and learning of visual stimuli differs significantly between these species in controlled dual-choice experiments: discrimination learning of small-field visual stimuli is achieved by F. cunicularia but not by C. aethiops, while both species master the discrimination of large-field visual stimuli. Our work thus provides a paradigmatic example about how timing of foraging activities and visual environment match the organization of compound eyes and visually-driven behavior. This correspondence underlines the relevance of an ecological/evolutionary framework for analyses in behavioral neuroscience.
Stable cell lines are widely used in laboratory research and pharmaceutical industry. They are mainly applied in recombinant protein and antibody productions, gene function studies, drug screens, toxicity assessments, and for cancer therapy investigation. There are two types of cell lines, polyclonal and monoclonal origin, that differ regarding their homogeneity and heterogeneity. Generating a high-quality stable cell line, which can grow continuously and carry a stable genetic modification without alteration is very important for most studies, because polyclonal cell lines of multicellular origin can be highly variable and unstable and lead to inconclusive experimental results. The most commonly used technologies of single cell originate monoclonal stable cell isolation in laboratory are fluorescence-activated cell sorting (FACS) sorting and limiting dilution cloning. Here, we describe a modified limiting dilution method of monoclonal stable cell line selection using the real-time fluorescence imaging system IncuCyte\(^®\)S3.
Engineered vaccinia virus (VACV) strains are used extensively as vectors for the development of novel cancer vaccines and cancer therapeutics. In this study, we describe for the first time a high-throughput approach for both fluorescent rVACV generation and rapid viral titer measurement with the multi-well plate imaging system, IncuCyte\(^®\)S3. The isolation of a single, well-defined plaque is critical for the generation of novel recombinant vaccinia virus (rVACV) strains. Unfortunately, current methods of rVACV engineering via plaque isolation are time-consuming and laborious. Here, we present a modified fluorescent viral plaque screening and selection strategy that allows one to generally obtain novel fluorescent rVACV strains in six days, with a minimum of just four days. The standard plaque assay requires chemicals for fixing and staining cells. Manual plaque counting based on visual inspection of the cell culture plates is time-consuming. Here, we developed a fluorescence-based plaque assay for quantifying the vaccinia virus that does not require a cell staining step. This approach is less toxic to researchers and is reproducible; it is thus an improvement over the traditional assay. Lastly, plaque counting by virtue of a fluorescence-based image is very convenient, as it can be performed directly on the computer.
Past experience contributes to behavioural organization mainly via learning: Animals learn otherwise ordinary cues as predictors for biologically significant events. This thesis studies such predictive, associative learning, using the fruit fly Drosophila melanogaster. I ask two main questions, which complement each other: One deals with the processing of those cues that are to be learned as predictors for an important event; the other one deals with the processing of the important event itself, which is to be predicted. Do fruit flies learn about combinations of olfactory and visual cues? I probe larval as well as adult fruit flies for the learning about combinations of olfactory and visual cues, using a so called ‘biconditional discrimination’ task: During training, one odour is paired with reinforcement only in light, but not in darkness; the other odour in turn is reinforced only in darkness, but not in light. Thus, neither the odours nor the visual conditions alone predict reinforcement, only combinations of both do. I find no evidence that either larval or adult fruit flies were to solve such task, speaking against a cross-talk between olfactory and visual modalities. Previous studies however suggest such cross-talk. To reconcile these results, I suggest classifying different kinds of interaction between sensory modalities, according to their site along the sensory-motor continuum: I consider an interaction ‘truly’ cross-modal, if it is between the specific features of the stimuli. I consider an interaction ’amodal’ if it instead engages the behavioural tendencies or ‘values’ elicited by each stimulus. Such reasoning brings me to conclude that different behavioural tasks require different kinds of interaction between sensory modalities; whether a given kind of interaction will be found depends on the neuronal infrastructure, which is a function of the species and the developmental stage. Predictive learning of pain-relief in fruit flies Fruit flies build two opposing kinds of memory, based on an experience with electric shock: Those odours that precede shock during training are learned as predictors for punishment and are subsequently avoided; those odours that follow shock during training on the other hand are learned as signals for relief and are subsequently approached. I focus on such relief learning. I start with a detailed parametric analysis of relief learning, testing for reproducibility as well as effects of gender, repetition of training, odour identity, odour concentration and shock intensity. I also characterize how relief memories, once formed, decay. In addition, concerning the psychological mechanisms of relief learning, first, I show that relief learning establishes genuinely associative conditioned approach behaviour and second, I report that it is most likely not mediated by context associations. These results enable the following neurobiological analysis of relief learning; further, they will form in the future the basis for a mathematical model; finally, they will guide the researchers aiming at uncovering relief learning in other experimental systems. Next, I embark upon neurogenetic analysis of relief learning. First, I report that fruit flies mutant for the so called white gene build overall more ‘negative’ memories about an experience with electric shock. That is, in the white mutants, learning about the painful onset of shock is enhanced, whereas learning about the relieving offset of shock is diminished. As they are coherently affected, these two kinds of learning should be in a balance. The molecular mechanism of the effect of white on this balance remains unresolved. Finally, as a first step towards a neuronal circuit analysis of relief learning, I compare it to reward learning and punishment learning. I find that relief learning is distinct from both in terms of the requirement for biogenic amine signaling: Reward and punishment are respectively signalled by octopamine and dopamine, for relief learning, either of these seem dispensible. Further, I find no evidence for roles for two other biogenic amines, tyramine and serotonin in relief learning. Based on these findings I give directions for further research.
The HECT-type ubiquitin ligase HECT, UBA and WWE Domain Containing 1, (HUWE1) regulates key cancer-related pathways, including the Myc oncogene. It affects cell proliferation, stress and immune signaling, mitochondria homeostasis, and cell death. HUWE1 is evolutionarily conserved from Caenorhabditis elegance to Drosophila melanogaster and Humans. Here, we report that the Drosophila ortholog, dHUWE1 (CG8184), is an essential gene whose loss results in embryonic lethality and whose tissue-specific disruption establishes its regulatory role in larval salivary gland development. dHUWE1 is essential for endoreplication of salivary gland cells and its knockdown results in the inability of these cells to replicate DNA. Remarkably, dHUWE1 is a survival factor that prevents premature activation of JNK signaling, thus preventing the disintegration of the salivary gland, which occurs physiologically during pupal stages. This function of dHUWE1 is general, as its inhibitory effect is observed also during eye development and at the organismal level. Epistatic studies revealed that the loss of dHUWE1 is compensated by dMyc proeitn expression or the loss of dmP53. dHUWE1 is therefore a conserved survival factor that regulates organ formation during Drosophila development.