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Der genetische Code beschreibt die Ver- und Entschlüsselung der Erb-information für das universelle Prinzip der Proteinbiosynthese aus einzelnen Aminosäuren. Durch Erweiterung des genetischen Codes lassen sich unna-türliche Aminosäuren (uAA) mit einzigartigen biophysikalischen Eigenschaf-ten ortsspezifisch in Proteine einführen und ermöglichen die spezifische Ma-nipulation von Proteinen.
Die Click-Reaktion zwischen der unnatürlichen Aminosäure TCO*-Lysin und Tetrazin besitzt eine außergewöhnliche Reaktionskinetik (≥800 M-1s-1) und ermöglicht eine spezifische und bioorthogonale Markierung von Bio-
¬molekülen unter physiologischen Bedingungen.
Im Fokus dieser Arbeit stand zunächst die Markierung von Membran-
¬rezeptoren durch Click-Chemie in lebenden Zellen sowie die Untersuchung der Wechselwirkung 22 bekannter und neuartiger Tetrazin-Farbstoff-
Konjugate. Darüber hinaus wurde die Anwendbarkeit von bioorthogonalen Click-Reaktionen für die hochauflösende Fluoreszenzmikroskopie untersucht. Durch Erweiterung des genetischen Codes in Proteine aus der Klasse der ionotropen Glutamatrezeptoren (iGluR), TNF-Rezeptoren oder Mikrotubu-li-assoziierten Proteinen (MAP) wurde ortspezifisch die unnatürliche Amino-säure TCO*-Lysin eingeführt und dadurch die Fluoreszenzmarkierung durch Tetrazin-Farbstoffe ermöglicht. Die direkte chemische Kopplung von TCO an Liganden wie Phalloidin und Docetaxel, welche spezifisch das Aktin-Zytoskelett bzw. Mikrotubuli-Filamente binden können, ermöglichte zudem die Click-Färbungen von fixierten und lebenden Zellen ohne genetische Ver-änderungen der Zielproteine.
Des Weiteren wurden die spektroskopischen Eigenschaften von 22 Tetrazin-Farbstoffen, verteilt über den gesamten sichtbaren Wellenlängenbereich, untersucht. Ein charakteristisches Kennzeichen der Click-Reaktion mit Tet-razin-Farbstoffen ist dabei ihre Fluorogenität. Das Tetrazin fungiert nicht nur als reaktive Gruppe während der Click-Reaktion mit Alkenen, sondern führt in vielen Tetrazin-Farbstoff-Konjugaten zur Fluoreszenzlöschung. Während bei grün-absorbierenden Farbstoffe vor allem FRET-basierte Löschprozesse dominieren, konnte photoinduzierter Elektronentransfer (PET) vom angeregten Farbstoff zum Tetrazin als Hauptlöschmechanismus bei rot-absorbierenden Oxazin- und Rhodamin-Derivaten identifiziert
werden.
Die effiziente und spezifische Markierung aller untersuchten Tetrazin-
Farbstoffe ermöglichte die Visualisierung von Aktin-Filamenten, Mikrotubuli und Membranrezeptoren sowohl durch konventionelle Fluoreszenzmikrosko-pie als auch durch hochauflösende Verfahren, wie z.B. dSTORM, auf Ein-zelmolekülebene. Die unterschiedliche Zellpermeabilität von
Tetrazin-Farbstoffen kann dabei vorteilhaft für die spezifische intra- und extrazelluläre Markierung von Proteinen in fixierten und lebenden Zellen genutzt werden.
The honeybee is a well studied and important organism in neuroethology. The possibility to train them with a classical conditioning paradigm and their miniature brain provide a perfect requisite to investigate the neuronal principles of learning and memory. Honeybees use visual and olfactory cues to detect flowers during their foraging trips. Hence, the reward association of a nectar source is a multi-modal construct, which has at least two major components - olfactory and visual cues. It is still an open question, how both sensory components are converged in the mushroom body, which represent the multi-modal integration centre of the honeybee brain. The main goal of this study, is to investigate the processing of multiple modalities and how a reward association is formed. This includes, how and wether both sensory modalities interfere during learning. Thus, in this study stimulation with UV, blue and green light was used to evoke distinct photoreceptor activities in the compound eye. Furthermore, three different odours (Geraniol, Citronellol and Farnesol) were used. These stimuli were tested in three different experimental series. The first experiment involved classical differential conditioning of the single modalities - odour and colour. Honeybees showed high learning performances in differentiating olfactory stimuli and also reliable responses for visual conditioning. Furthermore, a temporal discrepancy in the stimulus length for best learning in the olfatcoty and visual cues was found. In the second series, it was tested how multi-modal compounds are perceived. This includes, unique cues (configural processing) or the sum of the single components of a compound (elemen- tal processing). This was tested by combining single odour components with monochromatic light in a positive (PP) and negative patterning (NP) experiment. During PP, the olfactory- visual compound was rewarded, whereas the single components were unrewarded. In contrast, during NP the single components were reinforced, but the compound was not. In addition, the ability to distinguish between two different light stimuli presented as a part of an olfactory-visual compound with the same odour component during acquisition was tested. In a memory test, the light stimuli were presented again as a compound and in addition as the single components. The results revealed that bees used elemental processing with compounds containing green and blue light. In contrast, when UV light was presented the bees used configural processing. Finally, a third experiment was conducted at the neuronal level. Multi-unit recordings were established to provide a suitable method to analyse extrinsic neurons at the mushroom body output region, the so called ventral lobe of the pedunculus. Here, three different odours (Geran- iol, Farnesol and Citronellol), two colours (green and blue) and two combined stimuli (colour + odour) were chosen as stimuli, to search for possible variations in processing stimuli with different modalities. Two units could be detected that responded mainly to visual stimuli.
Background
Xiphophorus fishes are represented by 26 live-bearing species of tropical fish that express many attributes (e.g., viviparity, genetic and phenotypic variation, ecological adaptation, varied sexual developmental mechanisms, ability to produce fertile interspecies hybrids) that have made attractive research models for over 85 years. Use of various interspecies hybrids to investigate the genetics underlying spontaneous and induced tumorigenesis has resulted in the development and maintenance of pedigreed Xiphophorus lines specifically bred for research. The recent availability of the X. maculatus reference genome assembly now provides unprecedented opportunities for novel and exciting comparative research studies among Xiphophorus species.
Results
We present sequencing, assembly and annotation of two new genomes representing Xiphophorus couchianus and Xiphophorus hellerii. The final X. couchianus and X. hellerii assemblies have total sizes of 708 Mb and 734 Mb and correspond to 98 % and 102 % of the X. maculatus Jp 163 A genome size, respectively. The rates of single nucleotide change range from 1 per 52 bp to 1 per 69 bp among the three genomes and the impact of putatively damaging variants are presented. In addition, a survey of transposable elements allowed us to deduce an ancestral TE landscape, uncovered potential active TEs and document a recent burst of TEs during evolution of this genus.
Conclusions
Two new Xiphophorus genomes and their corresponding transcriptomes were efficiently assembled, the former using a novel guided assembly approach. Three assembled genome sequences within this single vertebrate order of new world live-bearing fishes will accelerate our understanding of relationship between environmental adaptation and genome evolution. In addition, these genome resources provide capability to determine allele specific gene regulation among interspecies hybrids produced by crossing any of the three species that are known to produce progeny predisposed to tumor development.
Background
Spermatogenesis is a complex differentiation process that involves the successive and simultaneous execution of three different gene expression programs: mitotic proliferation of spermatogonia, meiosis, and spermiogenesis. Testicular cell heterogeneity has hindered its molecular analyses. Moreover, the characterization of short, poorly represented cell stages such as initial meiotic prophase ones (leptotene and zygotene) has remained elusive, despite their crucial importance for understanding the fundamentals of meiosis.
Results
We have developed a flow cytometry-based approach for obtaining highly pure stage-specific spermatogenic cell populations, including early meiotic prophase. Here we combined this methodology with next generation sequencing, which enabled the analysis of meiotic and postmeiotic gene expression signatures in mouse with unprecedented reliability. Interestingly, we found that a considerable number of genes involved in early as well as late meiotic processes are already on at early meiotic prophase, with a high proportion of them being expressed only for the short time lapse of lepto-zygotene stages. Besides, we observed a massive change in gene expression patterns during medium meiotic prophase (pachytene) when mostly genes related to spermiogenesis and sperm function are already turned on. This indicates that the transcriptional switch from meiosis to post-meiosis takes place very early, during meiotic prophase, thus disclosing a higher incidence of post-transcriptional regulation in spermatogenesis than previously reported. Moreover, we found that a good proportion of the differential gene expression in spermiogenesis corresponds to up-regulation of genes whose expression starts earlier, at pachytene stage; this includes transition protein-and protamine-coding genes, which have long been claimed to switch on during spermiogenesis. In addition, our results afford new insights concerning X chromosome meiotic inactivation and reactivation.
Conclusions
This work provides for the first time an overview of the time course for the massive onset and turning off of the meiotic and spermiogenic genetic programs. Importantly, our data represent a highly reliable information set about gene expression in pure testicular cell populations including early meiotic prophase, for further data mining towards the elucidation of the molecular bases of male reproduction in mammals.
Acetylcholine (ACh) mediates transmission at vertebrate neuromuscular junctions and many other synapses. The postsynaptic ACh receptors at neuromuscular junctions are of the nicotinic subtype (nAChRs). They are among the best studied receptor channels and often serve as models or receptor prototypes. Despite a wealth of information on muscle type nAChRs so far little is known about species specific functional differences. In this work, mouse and human adult muscle type nAChRs are investigated.
Cell attached recordings in the HEK293T heterologous expression system provided evidence that the ACh affinity of recombinant mouse and human adult muscle type nAChRs are different. To clarify this, I compared these receptors in outside-out patches employing a system for fast agonist application. Thus, the individual membrane patches with receptors can be exposed to various ligand concentrations. In response to 10 and 30 µM ACh normalized peak currents (î) were significantly larger and current rise-time (tr) shorter in human than in mouse receptors. Analyzing dose-response curves of î and tr and fitting them with a two-step equivalent binding-site kinetic mechanism revealed a two-fold higher ACh association rate constant in human compared to mouse receptors. Furthermore, human nAChRs were blocked faster in outside-out patches by superfusion of 300 nM α-Bungarotoxin (α-Bgtx) than mouse nAChRs. Finally, human nAChRs in outside-out patches showed higher affinity at 3 µM ACh than chimeric receptors consisting of mouse α- and human β-, γ- and ε-subunits. The higher affinity of human than mouse receptors for ACh and α-Bgtx is thus at least in part due to sequence difference in their α-subunits.
Das menschliche Gehirn ist ein Organ, das aufgrund seiner Komplexität und zellulären Diversität noch am wenigsten verstanden ist. Eine der Ursachen dafür sind zahlreiche Herausforderungen in diversen neurobiologischen Bild-gebungsverfahren. Erst seit der Erfindung der hochauflösenden Fluoreszenz-mikroskopie ist es möglich, Strukturen unterhalb der Beugungsgrenze zu visua-lisieren und somit eine maximale Auflösung von bis zu 20 nm zu erreichen. Zusätzlich hängt die Fähigkeit, biologische Strukturen aufzulösen, von der Markierungs-größe und -dichte ab. Derzeit ist die häufigste Methode zur Proteinfärbung die indirekte Antikörperfärbung, bei der ein Fluorophor-markierter Sekundärantikörper an einen Epitop-spezifischen Primärantikörper bindet. Dabei kann der Abstand von Zielstruktur und Fluorophor bis zu 30 nm betragen, was eine Auflösungs-verminderung zur Folge haben kann. Aufgrund dessen wurden in dieser Arbeit alternative Markierungsmethoden getestet, um postsynaptische Proteine sicht-bar zu machen.
Zunächst wurde der postsynaptische N-Methyl-D-Aspartat (NMDA)-Rezeptor mit Hilfe konventioneller indirekter Antikörperfärbung markiert. Hier war die NR1-Untereinheit des NMDA-Rezeptors von besonderem Interesse, da diese in der Autoimmunerkrankung Anti-NMDA-Rezeptor-Enzephalitis invol-viert ist.
Patienten dieser seltenen Krankheit bilden Autoantikörper gegen die NR1-Untereinheit, wodurch ein schneller reversibler Verlust der NMDA-Rezeptoren auf der Postsynapse induziert wird. Wichtige Informationen können nicht mehr ausreichend weitergegeben werden, was psychiatrische und neurologi-sche Störungen zur Folge hat. In dieser Arbeit wurden sowohl kommerzielle NR1-Antikörper, als auch rekombinante monoklonale NR1-Antikörper von Patien-ten mit Anti-NMDA-Rezeptor-Enzephalitis getestet. In konfokalen und in hochaufgelösten SIM- (engl. structured illumination microscopy) und dSTORM- (engl. direct stochastic optical reconstruction microscopy) Messun-gen konnten kommerzielle NR1-Antikörper keine erfolgreichen Färbungen erzielen. Dagegen erwiesen sich die rekombinanten monoklonalen NR1-Patientenantikörper als sehr spezifisch, sowohl in primären Neuronen als auch im Hippocampus von murinen Gehirnschnitten und lieferten gute Kolokalisati-onen mit dem postsynaptischen Markerprotein Homer.
Um die optische Auflösung zu verbessern, wurde eine neue Markierungs-methode mit sog. „Super-Binde-Peptiden“ (SBPs) getestet. SBPs sind modifi-zierte Peptide, die erhöhte Affinitäten und Spezifitäten aufweisen und mit ei-ner Größe von ~ 2,5 nm wesentlich kleiner als Antikörper sind. In dieser Arbeit bestätigte sich ein kleines hochspezifisches SPB, das an den Fluoreszenzfarb-stoff Tetra-
methylrhodamin (TMR) gekoppelt ist, als effektiver Marker für das Ankerpro-tein Gephyrin. Gephyrin ist für die Lokalisation und Verankerung einiger post-synaptischer Rezeptoren zuständig, indem es sie mit dem Cytoskelett der Zelle verbindet. SIM-Messungen in primären Neuronen zeigten eine bessere Clus-terrepräsentation bei der Färbung von Gephyrin mit SBPs, als mit Antikörper-färbung. Zusätzlich wurden Kolokalisationsanalysen von Gephyrin zusammen mit dem inhibito-rischen präsynaptischen vesikulären GABA-Transporter VGAT durchgeführt.
Eine weitere Färbemethode stellte die bioorthogonale Click-Färbung durch die Erweiterung des eukaryotischen genetischen Codes (engl. genetic code ex-pansion, GCE) dar. Dabei wurde eine unnatürliche, nicht-kanonische Amino-säure (engl. non-canonical amino acid, ncAA) ins Zielprotein eingebaut und in Kombination mit der Click-Chemie ortsspezifisch mit organischen Tetrazin-Farbstoff-Konjugaten angefärbt. Organische Fluorophore haben den Vorteil, dass sie mit einer Größe von 0,5 – 2 nm sehr klein sind und damit die natürli-chen Funktionen der Proteine in der Zelle kaum beeinflussen. In dieser Arbeit wurde zum ersten Mal gezeigt, dass der tetramere postsynaptische NMDA-Rezeptor durch die Amber-Supres-sionsmethode bioorthogonal angefärbt werden konnte. Aus sieben verschiede-nen Amber-Mutanten der NR1-Untereinheit stellte sich die Y392TAG-NR1-Mutante als diejenige mit der besten Proteinexpression, Färbeeffizienz und rezeptorfunktionalität heraus. Dies konnte durch Fluoreszenzmikroskopie- und Whole-Cell Patch-Clamp-Experimenten gezeigt werden. Die bioorthogo-nale Click-Färbung durch GCE eignete sich für die Färbung des NMDA-Rezeptors in verschiedenen Zelllinien, mit unterschiedlichen Tetrazin-Farbstoff-Konjugaten und für Lebendzellexperimente. In dSTORM-Messungen erwies sich das Tetrazin-Cy5-Farbstoff-Konjugat als ideal aufgrund seiner Grö-ße, Photostabilität, Helligkeit und seines geeigneten Blinkverhaltens, sodass eine homogene NMDA-Rezeptorverteilung auf der Zellmembran gezeigt wer-den konnte. NR1-Antikörperfärbungen wiesen dagegen starke Clusterbildun-gen auf. Die Ergebnisse konnten belegen, dass kleinere Farbstoffe eine deut-lich bessere Zugänglichkeit zu ihrem Zielprotein haben und somit besser für die hochauflösende Fluoreszenzmikroskopie geeignet sind.
Current preclinical models used to evaluate novel therapies for improved healing include both in vitro and in vivo methods. However, ethical concerns related to the use of animals as well as the poor physiological translation between animal and human skin wound healing designate in vitro models as a highly relevant and promising platforms for healing investigation. While current in vitro 3D skin models recapitulate a mature tissue with healing properties, they still represent a simplification of the in vivo conditions, where for example the inflammatory response originating after wound formation involves the contribution of immune cells. Macrophages are among the main contributors to the inflammatory response and regulate its course thanks to their plasticity. Therefore, their implementation into in vitro skin could greatly increase the physiological relevance of the models. As no full-thickness immunocompetent skin model containing macrophages has been reported so far, the parameters necessary for a successful triple co-culture of fibroblasts, keratinocytes and macrophages were here investigated. At first, cell source and culture timed but also an implementation strategy for macrophages were deter-mined. The implementation of macrophages into the skin model focused on the minimization of the culture time to preserve immune cell viability and phenotype, as the environment has a major influence on cell polarization and cytokine production. To this end, incorporation of macrophages in 3D gels prior to the combination with skin models was selected to better mimic the in vivo environment. Em-bedded in collagen hydrogels, macrophages displayed a homogeneous cell distribution within the gel, preserving cell viability, their ability to respond to stimuli and their capability to migrate through the matrix, which are all needed during the involvement of macrophages in the inflammatory response. Once established how to introduce macrophages into skin models, different culture media were evaluated for their effects on primary fibroblasts, keratinocytes and macrophages, to identify a suitable medium composition for the culture of immunocompetent skin. The present work confirmed that each cell type requires a different supplement combination for maintaining functional features and showed for the first time that media that promote and maintain a mature skin structure have negative effects on primary macrophages. Skin differentiation media negatively affected macrophages in terms of viability, morphology, ability to respond to pro- and anti-inflammatory stimuli and to migrate through a collagen gel. The combination of wounded skin equivalents and macrophage-containing gels con-firmed that culture medium inhibits macrophage participation in the inflammatory response that oc-curs after wounding. The described macrophage inclusion method for immunocompetent skin creation is a promising approach for generating more relevant skin models. Further optimization of the co-cul-ture medium will potentially allow mimicking a physiological inflammatory response, enabling to eval-uate the effects novel drugs designed for improved healing on improved in vitro models.
Metabolic adaptation to the host cell is important for obligate intracellular pathogens such as Chlamydia trachomatis (Ct). Here we infer the flux differences for Ct from proteome and qRT-PCR data by comprehensive pathway modeling. We compare the comparatively inert infectious elementary body (EB) and the active replicative reticulate body (RB) systematically using a genome-scale metabolic model with 321 metabolites and 277 reactions. This did yield 84 extreme pathways based on a published proteomics dataset at three different time points of infection. Validation of predictions was done by quantitative RT-PCR of enzyme mRNA expression at three time points. Ct’s major active pathways are glycolysis, gluconeogenesis, glycerol-phospholipid (GPL) biosynthesis (support from host acetyl-CoA) and pentose phosphate pathway (PPP), while its incomplete TCA and fatty acid biosynthesis are less active. The modeled metabolic pathways are much more active in RB than in EB. Our in silico model suggests that EB and RB utilize folate to generate NAD(P)H using independent pathways. The only low metabolic flux inferred for EB involves mainly carbohydrate metabolism. RB utilizes energy -rich compounds to generate ATP in nucleic acid metabolism. Validation data for the modeling include proteomics experiments (model basis) as well as qRT-PCR confirmation of selected metabolic enzyme mRNA expression differences. The metabolic modeling is made fully available here. Its detailed insights and models on Ct metabolic adaptations during infection are a useful modeling basis for future studies.
This thesis elucidates patterns and drivers of invertebrate herbivory, herbivore diversity, and community-level biomass along elevational and land use gradients at Mt. Kilimanjaro, Tanzania.
Chapter I provides background information on the response and predictor variables, study system, and the study design. First, I give an overview of the elevational patterns of species diversity/richness and herbivory published in the literature. The overview illuminates existing debates on elevational patterns of species diversity/richness and herbivory. In connection to these patterns, I also introduce several hypotheses and mechanisms put forward to explain macroecological patterns of species richness. Furthermore, I explain the main variables used to test hypotheses. Finally, I describe the study system and the study design used.
Chapter II explores the patterns of invertebrate herbivory and their underlying drivers along extensive elevational and land use gradients on the southern slopes of Mt. Kilimanjaro. I recorded standing leaf herbivory from leaf chewers, leaf miners and gall-inducing insects on 55 study sites located in natural and anthropogenic habitats distributed from 866 to 3060 meters above sea level (m asl) on Mt. Kilimanjaro. Standing leaf herbivory was related to climatic variables [mean annual temperature - (MAT) and mean annual precipitation - (MAP)], net primary productivity (NPP) and plant functional traits (leaf traits) [specific leaf area (SLA), carbon to nitrogen ratio (CN), and nitrogen to phosphorous ratio (NP)]. Results revealed an unimodal pattern of total leaf herbivory along the elevation gradient in natural habitats. Findings also revealed differences in the levels and patterns of herbivory among feeding guilds and between anthropogenic and natural habitats. Changes in NP and CN ratios which were closely linked to NPP were the strongest predictors of leaf herbivory. Our study uncovers the role of leaf nutrient stoichiometry and its linkages to climate in explaining the variation in leaf herbivory along climatic gradients.
Chapter III presents patterns and unravels direct and indirect effects of resource (food) abundance (NPP), resource (food) diversity [Functional Dispersion (FDis)], resource quality (SLA, NP, and CN rations), and climate variables (MAT and MAP) on species diversity of phytophagous beetles. Data were collected from 65 study sites located in natural and anthropogenic habitats distributed from 866 to 4550 m asl on the southern slopes of Mt. Kilimanjaro. Sweep net and beating methods were used to collect a total of 3,186 phytophagous beetles representing 21 families and 304 morphospecies. Two groups, weevils (Curculionidae) and leaf beetles (Chrysomelidae) were the largest and most diverse families represented with 898 and 1566 individuals, respectively. Results revealed complex (bimodal) and dissimilar patterns of Chao1-estimated species richness (hereafter referred to as species diversity) along elevation and land use gradients. Results from path analysis showed that temperature and climate-mediated changes in NPP had a significant positive direct and indirect effect on species diversity of phytophagous beetles, respectively. The results also revealed that the effect of NPP (via beetles abundance and diversity of food resources) on species diversity is stronger than that of temperature. Since we found that factors affecting species diversity were intimately linked to climate, I concluded that predicted climatic changes over the coming decades will likely alter the species diversity patterns which we observe today.
Chapter IV presents patterns and unravels the direct and indirect effects of climate, NPP and anthropogenic disturbances on species richness and community-level biomass of wild large mammals which represent endothermic organisms and the most important group of vertebrate herbivores. Data were collected from 66 study sites located in natural and anthropogenic habitats distributed from 870 to 4550 m asl on the southern slopes of Mt. Kilimanjaro. Mammals were collected using camera traps and used path analysis to disentangle the direct and indirect effects of climatic variables, NPP, land use, land area, levels of habitat protection and occurrence of domesticated mammals on the patterns of richness and community-level biomass of wild mammals, respectively. Results showed unimodal patterns for species richness and community-level biomass of wild mammals along elevation gradients and that the patterns differed depending on the type of feeding guild. Findings from path analysis showed that net primary productivity and levels of habitat protection had a strong direct effect on species richness and community-level biomass of wild mammals whereas temperature had an insignificant direct effect. Findings show the importance of climate-mediated food resources in determining patterns of species richness of large mammals. While temperature is among key predictors of species richness in several ectotherms, its direct influence in determining species richness of wild mammals was insignificant. Findings show the sensitivity of wild mammals to anthropogenic influences and underscore the importance of protected areas in conserving biodiversity.
In conclusion, despite a multitude of data sets on species diversity and ecosystem functions along broad climatic gradients, there is little mechanistic understanding of the underlying causes. Findings obtained in the three studies illustrate their contribution to the scientific debates on the mechanisms underlying patterns of herbivory and diversity along elevation gradients. Results present strong evidence that plant functional traits play a key role in determining invertebrate herbivory and species diversity along elevation gradients and that, their strong interdependence with climate and anthropogenic activities will shape these patterns in future. Additionally, findings from path analysis demonstrated that herbivore diversity, community-level biomass, and herbivory are strongly influenced by climate (either directly or indirectly). Therefore, the predicted climatic changes are expected to dictate ecological patterns, biotic interactions, and energy and nutrient fluxes in terrestrial ecosystems in the coming decades with stronger impacts probably occurring in natural ecosystems. Furthermore, findings demonstrated the significance of land use effects in shaping ecological patterns. As anthropogenic pressure is advancing towards more pristine higher elevations, I advocate conservation measures which are responsive to and incorporate human dimensions to curb the situation. Although our findings emanate from observational studies which have to take several confounding factors into account, we have managed to demonstrate global change responses in real ecosystems and fully established organisms with a wide range of interactions which are unlikely to be captured in artificial experiments. Nonetheless, I recommend additional experimental studies addressing the effect of top-down control by natural enemies on herbivore diversity and invertebrate herbivory in order to deepen our understanding of the mechanisms driving macroecological patterns along elevation gradients.
Since its first experimental implementation in 2005, single-molecule localization microscopy (SMLM) emerged as a versatile and powerful imaging tool for biological structures with nanometer resolution. By now, SMLM has compiled an extensive track-record of novel insights in sub- and inter- cellular organization.\\
Moreover, since all SMLM techniques rely on the analysis of emission patterns from isolated fluorophores, they inherently allocate molecular information $per$ $definitionem$.\\
Consequently, SMLM transitioned from its origin as pure high-resolution imaging instrument towards quantitative microscopy, where the key information medium is no longer the highly resolved image itself, but the raw localization data set.\\
The work presented in this thesis is part of the ongoing effort to translate those $per$ $se$ molecular information gained by SMLM imaging to insights into the structural organization of the targeted protein or even beyond. Although largely consistent in their objectives, the general distinction between global or segmentation clustering approaches on one side and particle averaging or meta-analyses techniques on the other is usually made.\\
During the course of my thesis, I designed, implemented and employed numerous quantitative approaches with varying degrees of complexity and fields of application.\\ \\
In my first major project, I analyzed the localization distribution of the integral protein gp210 of the nuclear pore complex (NPC) with an iterative \textit{k}-means algorithm. Relating the distinct localization statistics of separated gp210 domains to isolated fluorescent signals led, among others, to the conclusion that the anchoring ring of the NPC consists of 8 homo-dimers of gp210.\\
This is of particular significance, both because it answered a decades long standing question about the nature of the gp210 ring and it showcased the possibility to gain structural information well beyond the resolution capabilities of SMLM by crafty quantification approaches.\\ \\
The second major project reported comprises an extensive study of the synaptonemal complex (SNC) and linked cohesin complexes. Here, I employed a multi-level meta-analysis of the localization sets of various SNC proteins to facilitate the compilation of a novel model of the molecular organization of the major SNC components with so far unmatched extend and detail with isotropic three-dimensional resolution.\\
In a second venture, the two murine cohesin components SMC3 and STAG3 connected to the SNC were analyzed. Applying an adapted algorithm, considering the disperse nature of cohesins, led to the realization that there is an apparent polarization of those cohesin complexes in the SNC, as well as a possible sub-structure of STAG3 beyond the resolution capabilities of SMLM.\\ \\
Other minor projects connected to localization quantification included the study of plasma membrane glycans regarding their overall localization distribution and particular homogeneity as well as the investigation of two flotillin proteins in the membrane of bacteria, forming clusters of distinct shapes and sizes.\\ \\
Finally, a novel approach to three-dimensional SMLM is presented, employing the precise quantification of single molecule emitter intensities. This method, named TRABI, relies on the principles of aperture photometry which were improved for SMLM.\\
With TRABI it was shown, that widely used Gaussian fitting based localization software underestimates photon counts significantly. This mismatch was utilized as a $z$-dependent parameter, enabling the conversion of 2D SMLM data to a virtual 3D space. Furthermore it was demonstrated, that TRABI can be combined beneficially with a multi-plane detection scheme, resulting in superior performance regarding axial localization precision and resolution.\\
Additionally, TRABI has been subsequently employed to photometrically characterize a novel dye for SMLM, revealing superior photo-physical properties at the single-molecule level.\\
Following the conclusion of this thesis, the TRABI method and its applications remains subject of diverse ongoing research.
Social immunity is a key factor for honeybee health, including behavioral defense strategies such as the collective use of antimicrobial plant resins (propolis). While laboratory data repeatedly show significant propolis effects, field data are scarce, especially at the colony level. Here, we investigated whether propolis, as naturally deposited in the nests, can protect honeybees against ectoparasitic mites Varroa destructor and associated viruses, which are currently considered the most serious biological threat to European honeybee subspecies, Apis mellifera, globally. Propolis intake of 10 field colonies was manipulated by either reducing or adding freshly collected propolis. Mite infestations, titers of deformed wing virus (DWV) and sacbrood virus (SBV), resin intake, as well as colony strength were recorded monthly from July to September 2013. We additionally examined the effect of raw propolis volatiles on mite survival in laboratory assays. Our results showed no significant effects of adding or removing propolis on mite survival and infestation levels. However, in relation to V. destructor, DWV titers increased significantly less in colonies with added propolis than in propolis-removed colonies, whereas SBV titers were similar. Colonies with added propolis were also significantly stronger than propolis-removed colonies. These findings indicate that propolis may interfere with the dynamics of V. destructor-transmitted viruses, thereby further emphasizing the importance of propolis for honeybee health.
Numerous studies revealed a positive relationship between biodiversity and ecosystem functioning, suggesting that biodiverse environments may not only enhance ecosystem processes, but also benefit individual ecosystem members by, for example, providing a higher diversity of resources. Whether and how the number of available resources affects resource collection and subsequently consumers (e.g., through impacting functions associated with resources) have, however, been little investigated, although a better understanding of this relationship may help explain why the abundance and richness of many animal species typically decline with decreasing plant (resource) diversity. Using a social bee species as model (Tetragonula carbonaria), we investigated how plant species richness—recorded for study sites located in different habitats—and associated resource abundance affected the diversity and functionality (here defined as nutritional content and antimicrobial activity) of resources (i.e., pollen, nectar, and resin) collected by a generalist herbivorous consumer. The diversity of both pollen and resin collected strongly increased with increasing plant/tree species richness, while resource abundance was only positively correlated with resin diversity. These findings suggest that bees maximize resource diversity intake in (resource) diverse habitats. Collecting more diverse resources did, however, not increase their functionality, which appeared to be primarily driven by the surrounding (plant) source community in our study. In generalist herbivores, maximizing resource diversity intake may therefore primarily secure collection of sufficient amounts of resources across the entire foraging season, but it also ensures that the allocated resources meet all functional needs. Decreasing available resource diversity may thus impact consumers primarily by reduced resource abundance, but also by reduced resource functionality, particularly when resources of high functionality (e.g., from specific plant species) become scarce.
Obligate intracellular Chlamydia trachomatis replicate in a membrane-bound vacuole called inclusion, which serves as a signaling interface with the host cell. Here, we show that the chlamydial deubiquitinating enzyme (Cdu) 1 localizes in the inclusion membrane and faces the cytosol with the active deubiquitinating enzyme domain. The structure of this domain revealed high similarity to mammalian deubiquitinases with a unique α-helix close to the substrate-binding pocket. We identified the apoptosis regulator Mcl-1 as a target that interacts with Cdu1 and is stabilized by deubiquitination at the chlamydial inclusion. A chlamydial transposon insertion mutant in the Cdu1-encoding gene exhibited increased Mcl-1 and inclusion ubiquitination and reduced Mcl-1 stabilization. Additionally, inactivation of Cdu1 led to increased sensitivity of C. trachomatis for IFNγ and impaired infection in mice. Thus, the chlamydial inclusion serves as an enriched site for a deubiquitinating activity exerting a function in selective stabilization of host proteins and protection from host defense.
Colorectal carcinoma (CRC) is the most common cancer of the gastrointestinal tract with frequently dysregulated intracellular signaling pathways, including p53 signaling. The mainstay of chemotherapy treatment of CRC is 5-fluorouracil (5FU) and oxaliplatin. The two anticancer drugs mediate their therapeutic effect via DNA damage-triggered signaling. The small molecule reactivating p53 and inducing tumor apoptosis (RITA) is described as an activator of wild-type and reactivator of mutant p53 function, resulting in elevated levels of p53 protein, cell growth arrest, and cell death. Additionally, it has been shown that RITA can induce DNA damage signaling. It is expected that the therapeutic benefits of 5FU and oxaliplatin can be increased by enhancing DNA damage signaling pathways. Therefore, we highlighted the antiproliferative response of RITA alone and in combination with 5FU or oxaliplatin in human CRC cells. A panel of long-term established CRC cell lines (n = 9) including p53 wild-type, p53 mutant, and p53 null and primary patient-derived, low-passage cell lines (n = 5) with different p53 protein status were used for this study. A substantial number of CRC cells with pronounced sensitivity to RITA (IC\(_{50}\)< 3.0 μmol/l) were identified within established (4/9) and primary patient-derived (2/5) CRC cell lines harboring wild-type or mutant p53 protein. Sensitivity to RITA appeared independent of p53 status and was associated with an increase in antiproliferative response to 5FU and oxaliplatin, a transcriptional increase of p53 targets p21 and NOXA, and a decrease in MYC mRNA. The effect of RITA as an inducer of DNA damage was shown by a strong elevation of phosphorylated histone variant H2A.X, which was restricted to RITA-sensitive cells. Our data underline the primary effect of RITA, inducing DNA damage, and demonstrate the differential antiproliferative effect of RITA to CRC cells independent of p53 protein status. We found a substantial number of RITA-sensitive CRC cells within both panels of established CRC cell lines and primary patient-derived CRC cell lines (6/14) that provide a rationale for combining RITA with 5FU or oxaliplatin to enhance the antiproliferative response to both chemotherapeutic agents.
Theory predicts that males and females should often join the mating pool at different times (sexual dimorphism in timing of emergence [SDT]) as the degree of SDT affects female mating success. We utilize an analytical model to explore (1) how important SDT is for female mating success, (2) how mating success might change if either sex's mortality (abruptly) increases, and (3) to what degree evolutionary responses in SDT may be able to mitigate the consequences of such mortality increase. Increasing male pre‐mating mortality has a non‐linear effect on the fraction of females mated: The effect is initially weak, but at some critical level a further increase in male mortality has a stronger effect than a similar increase in female mortality. Such a change is expected to impose selection for reduced SDT. Increasing mortality during the mating season has always a stronger effect on female mating success if the mortality affects the sex that emerges first. This bias results from the fact that enhancing mortality of the earlier emerging sex reduces female–male encounter rates. However, an evolutionary response in SDT may effectively mitigate such consequences. Further, if considered independently for females and males, the predicted evolutionary response in SDT could be quite dissimilar. The difference between female and male evolutionary response in SDT leads to marked differences in the fraction of fertilized females under certain conditions. Our model may provide general guidelines for improving harvesting of populations, conservation management of rare species under altered environmental conditions, or maintaining long‐term efficiency of pest‐control measures.
Epigenetic alterations may contribute to the generation of cancer cells in a multi-step process of tumorigenesis following irradiation of normal body cells. Primary human fibroblasts with intact cell cycle checkpoints were used as a model to test whether X-ray irradiation with 2 and 4 Gray induces direct epigenetic effects (within the first cell cycle) in the exposed cells. ELISA-based fluorometric assays were consistent with slightly reduced global DNA methylation and hydroxymethylation, however the observed between-group differences were usually not significant. Similarly, bisulfite pyrosequencing of interspersed LINE-1 repeats and centromeric α-satellite DNA did not detect significant methylation differences between irradiated and non-irradiated cultures. Methylation of interspersed ALU repeats appeared to be slightly increased (one percentage point; p = 0.01) at 6 h after irradiation with 4 Gy. Single-cell analysis showed comparable variations in repeat methylation among individual cells in both irradiated and control cultures. Radiation-induced changes in global repeat methylation, if any, were much smaller than methylation variation between different fibroblast strains. Interestingly, α-satellite DNA methylation positively correlated with gestational age. Finally, 450K methylation arrays mainly targeting genes and CpG islands were used for global DNA methylation analysis. There were no detectable methylation differences in genic (promoter, 5' UTR, first exon, gene body, 3' UTR) and intergenic regions between irradiated and control fibroblast cultures. Although we cannot exclude minor effects, i.e. on individual CpG sites, collectively our data suggest that global DNA methylation remains rather stable in irradiated normal body cells in the early phase of DNA damage response.
The blunt snout bream Megalobrama amblycephala is the economically most important cyprinid fish species. As an herbivore, it can be grown by eco-friendly and resource-conserving aquaculture. However, the large number of intermuscular bones in the trunk musculature is adverse to fish meat processing and consumption. As a first towards optimizing this aquatic livestock, we present a 1.116-Gb draft genome of M. amblycephala, with 779.54 Mb anchored on 24 linkage groups. Integrating spatiotemporal transcriptome analyses, we show that intermuscular bone is formed in the more basal teleosts by intramembranous ossification and may be involved in muscle contractibility and coordinating cellular events. Comparative analysis revealed that olfactory receptor genes, especially of the beta type, underwent an extensive expansion in herbivorous cyprinids, whereas the gene for the umami receptor T1R1 was specifically lost in M. amblycephala. The composition of gut microflora, which contributes to the herbivorous adaptation of M. amblycephala, was found to be similar to that of other herbivores. As a valuable resource for the improvement of M. amblycephala livestock, the draft genome sequence offers new insights into the development of intermuscular bone and herbivorous adaptation.
Animal circadian clocks consist of central and peripheral pacemakers, which are coordinated to produce daily rhythms in physiology and behaviour. Despite its importance for optimal performance and health, the mechanism of clock coordination is poorly understood. Here we dissect the pathway through which the circadian clock of Drosophila imposes daily rhythmicity to the pattern of adult emergence. Rhythmicity depends on the coupling between the brain clock and a peripheral clock in the prothoracic gland (PG), which produces the steroid hormone, ecdysone. Time information from the central clock is transmitted via the neuropeptide, sNPF, to non-clock neurons that produce the neuropeptide, PTTH. These secretory neurons then forward time information to the PG clock. We also show that the central clock exerts a dominant role on the peripheral clock. This use of two coupled clocks could serve as a paradigm to understand how daily steroid hormone rhythms are generated in animals.
The instructive component of waggle dance communication has been shown to increase resource uptake of Apis mellifera colonies in highly heterogeneous resource environments, but an assessment of its relevance in temperate landscapes with different levels of resource heterogeneity is currently lacking. We hypothesized that the advertisement of resource locations via dance communication would be most relevant in highly heterogeneous landscapes with large spatial variation of floral resources. To test our hypothesis, we placed 24 Apis mellifera colonies with either disrupted or unimpaired instructive component of dance communication in eight Central European agricultural landscapes that differed in heterogeneity and resource availability. We monitored colony weight change and pollen harvest as measure of foraging success. Dance disruption did not significantly alter colony weight change, but decreased pollen harvest compared to the communicating colonies by 40%. There was no general effect of resource availability on nectar or pollen foraging success, but the effect of landscape heterogeneity on nectar uptake was stronger when resource availability was high. In contrast to our hypothesis, the effects of disrupted bee communication on nectar and pollen foraging success were not stronger in landscapes with heterogeneous compared to homogenous resource environments. Our results indicate that in temperate regions intra-colonial communication of resource locations benefits pollen foraging more than nectar foraging, irrespective of landscape heterogeneity. We conclude that the so far largely unexplored role of dance communication in pollen foraging requires further consideration as pollen is a crucial resource for colony development and health.
Blood platelets are produced by large bone marrow (BM) precursor cells, megakaryocytes (MKs), which extend cytoplasmic protrusions (proplatelets) into BM sinusoids. The molecular cues that control MK polarization towards sinusoids and limit transendothelial crossing to proplatelets remain unknown. Here, we show that the small GTPases Cdc42 and RhoA act as a regulatory circuit downstream of the MK-specific mechanoreceptor GPIb to coordinate polarized transendothelial platelet biogenesis. Functional deficiency of either GPIb or Cdc42 impairs transendothelial proplatelet formation. In the absence of RhoA, increased Cdc42 activity and MK hyperpolarization triggers GPIb-dependent transmigration of entire MKs into BM sinusoids. These findings position Cdc42 (go-signal) and RhoA (stop-signal) at the centre of a molecular checkpoint downstream of GPIb that controls transendothelial platelet biogenesis. Our results may open new avenues for the treatment of platelet production disorders and help to explain the thrombocytopenia in patients with Bernard–Soulier syndrome, a bleeding disorder caused by defects in GPIb-IX-V.
Eclosion in flies and other insects is a circadian-gated behaviour under control of a central and a peripheral clock. It is not influenced by the motivational state of an animal, and thus presents an ideal paradigm to study the relation and signalling pathways between central and peripheral clocks, and downstream peptidergic regulatory systems. Little is known, however, about eclosion rhythmicity under natural conditions, and research into this direction is hampered by the physically closed design of current eclosion monitoring systems.
We describe a novel open eclosion monitoring system (WEclMon) that allows the puparia to come into direct contact with light, temperature and humidity. We demonstrate that the system can be used both in the laboratory and outdoors, and shows a performance similar to commercial closed funnel-type monitors. Data analysis is semi-automated based on a macro toolset for the open imaging software Fiji. Due to its open design, the WEclMon is also well suited for optogenetic experiments. A small screen to identify putative neuroendocrine signals mediating time from the central clock to initiate eclosion showed that optogenetic activation of ETH-, EH and myosuppressin neurons can induce precocious eclosion. Genetic ablation of myosuppressin-expressing neurons did, however, not affect eclosion rhythmicity.
High invasiveness and resistance to chemo- and radiotherapy of glioblastoma multiforme (GBM) make it the most lethal brain tumor. Therefore, new treatment strategies for preventing migration and invasion of GBM cells are needed. Using two different migration assays, Western blotting, conventional and super-resolution (dSTORM) fluorescence microscopy we examine the effects of the dual PI3K/mTOR-inhibitor PI-103 alone and in combination with the Hsp90 inhibitor NVP-AUY922 and/or irradiation on the migration, expression of marker proteins, focal adhesions and F-actin cytoskeleton in two GBM cell lines (DK-MG and SNB19) markedly differing in their invasive capacity. Both lines were found to be strikingly different in morphology and migration behavior. The less invasive DK-MG cells maintained a polarized morphology and migrated in a directionally persistent manner, whereas the highly invasive SNB19 cells showed a multipolar morphology and migrated randomly. Interestingly, a single dose of 2 Gy accelerated wound closure in both cell lines without affecting their migration measured by single-cell tracking. PI-103 inhibited migration of DK-MG (p53 wt, PTEN wt) but not of SNB19 (p53 mut, PTEN mut) cells probably due to aberrant reactivation of the PI3K pathway in SNB19 cells treated with PI-103. In contrast, NVP-AUY922 exerted strong anti-migratory effects in both cell lines. Inhibition of cell migration was associated with massive morphological changes and reorganization of the actin cytoskeleton. Our results showed a cell line-specific response to PI3K/mTOR inhibition in terms of GBM cell motility. We conclude that anti-migratory agents warrant further preclinical investigation as potential therapeutics for treatment of GBM.
Osteocytes and their cell processes reside in a large, interconnected network of voids pervading the mineralized bone matrix of most vertebrates. This osteocyte lacuno-canalicular network (OLCN) is believed to play important roles in mechanosensing, mineral homeostasis, and for the mechanical properties of bone. While the extracellular matrix structure of bone is extensively studied on ultrastructural and macroscopic scales, there is a lack of quantitative knowledge on how the cellular network is organized. Using a recently introduced imaging and quantification approach, we analyze the OLCN in different bone types from mouse and sheep that exhibit different degrees of structural organization not only of the cell network but also of the fibrous matrix deposited by the cells. We define a number of robust, quantitative measures that are derived from the theory of complex networks. These measures enable us to gain insights into how efficient the network is organized with regard to intercellular transport and communication. Our analysis shows that the cell network in regularly organized, slow-growing bone tissue from sheep is less connected, but more efficiently organized compared to irregular and fast-growing bone tissue from mice. On the level of statistical topological properties (edges per node, edge length and degree distribution), both network types are indistinguishable, highlighting that despite pronounced differences at the tissue level, the topological architecture of the osteocyte canalicular network at the subcellular level may be independent of species and bone type. Our results suggest a universal mechanism underlying the self-organization of individual cells into a large, interconnected network during bone formation and mineralization.
Aspergillus (A.) fumigatus is an opportunistic fungal mold inducing invasive aspergillosis (IA) in immunocompromised patients. Although antifungal activity of human natural killer (NK) cells was shown in previous studies, the underlying cellular mechanisms and pathogen recognition receptors (PRRs) are still unknown. Using flow cytometry we were able to show that the fluorescence positivity of the surface receptor CD56 significantly decreased upon fungal contact. To visualize the interaction site of NK cells and A. fumigatus we used SEM, CLSM and dSTORM techniques, which clearly demonstrated that NK cells directly interact with A. fumigatus via CD56 and that CD56 is re-organized and accumulated at this interaction site time-dependently. The inhibition of the cytoskeleton showed that the receptor re-organization was an active process dependent on actin re-arrangements. Furthermore, we could show that CD56 plays a role in the fungus mediated NK cell activation, since blocking of CD56 surface receptor reduced fungal mediated NK cell activation and reduced cytokine secretion. These results confirmed the direct interaction of NK cells and A. fumigatus, leading to the conclusion that CD56 is a pathogen recognition receptor. These findings give new insights into the functional role of CD56 in the pathogen recognition during the innate immune response.
Thema dieser Thesis ist die Analyse sekretorischer Vesikelpools auf Ultrastrukturebene in unterschiedlichen biologischen Systemen. Der erste und zweite Teil dieser Arbeit fokussiert sich auf die Analyse synaptischer Vesikelpools in neuromuskulären Endplatten (NME) im Modellorganismus Caenorhabditis elegans. Dazu wurde Hochdruckgefrierung und Gefriersubstitution angewandt, um eine unverzügliche Immobilisation der Nematoden und somit eine Fixierung im nahezu nativen Zustand zu gewährleisten. Anschließend wurden dreidimensionale Aufnahmen der NME mittels Elektronentomographie erstellt. Im ersten Teil dieser Arbeit wurden junge adulte, wildtypische C. elegans Hermaphroditen mit Septin-Mutanten verglichen. Um eine umfassende Analyse mit hoher Stichprobenzahl zu ermöglichen und eine automatisierte Lösung für ähnliche Untersuchungen von Vesikelpools bereit zu stellen wurde eine Software namens 3D ART VeSElecT zur automatisierten Vesikelpoolanalyse entwickelt. Die Software besteht aus zwei Makros für ImageJ, eines für die Registrierung der Vesikel und eines zur Charakterisierung. Diese Trennung in zwei separate Schritte ermöglicht einen manuellen Verbesserungsschritt zum Entfernen falsch positiver Vesikel. Durch einen Vergleich mit manuell ausgewerteten Daten neuromuskulärer Endplatten von larvalen Stadien des Modellorganismus Zebrafisch (Danio rerio) konnte erfolgreich die Funktionalität der Software bewiesen werden. Die Analyse der neuromuskulären Endplatten in C. elegans ergab kleinere synaptische Vesikel und dichtere Vesikelpools in den Septin-Mutanten verglichen mit Wildtypen.
Im zweiten Teil der Arbeit wurden neuromuskulärer Endplatten junger adulter C. elegans Hermaphroditen mit Dauerlarven verglichen. Das Dauerlarvenstadium ist ein spezielles Stadium, welches durch widrige Umweltbedingungen induziert wird und in dem C. elegans über mehrere Monate ohne Nahrungsaufnahme überleben kann. Da hier der Vergleich der Abundanz zweier Vesikelarten, der „clear-core“-Vesikel (CCV) und der „dense-core“-Vesikel (DCV), im Fokus stand wurde eine Erweiterung von 3D ART VeSElecT entwickelt, die einen „Machine-Learning“-Algorithmus zur automatisierten Klassifikation der Vesikel integriert. Durch die Analyse konnten kleinere Vesikel, eine erhöhte Anzahl von „dense-core“-Vesikeln, sowie eine veränderte Lokalisation der DCV in Dauerlarven festgestellt werden.
Im dritten Teil dieser Arbeit wurde untersucht ob die für synaptische Vesikelpools konzipierte Software auch zur Analyse sekretorischer Vesikel in Thrombozyten geeignet ist. Dazu wurden zweidimensionale und dreidimensionale Aufnahmen am Transmissionselektronenmikroskop erstellt und verglichen. Die Untersuchung ergab, dass hierfür eine neue Methodik entwickelt werden muss, die zwar auf den vorherigen Arbeiten prinzipiell aufbauen kann, aber den besonderen Herausforderungen der Bilderkennung sekretorischer Vesikel aus Thrombozyten gerecht werden muss.
The regulation of replication is essential to preserve genome integrity. Mms1 is part of the E3 ubiquitin ligase complex that is linked to replication fork progression. By identifying Mms1 binding sites genome-wide in Saccharomyces cerevisiae we connected Mms1 function to genome integrity and replication fork progression at particular G-rich motifs. This motif can form G-quadruplex (G4) structures in vitro. G4 are stable DNA structures that are known to impede replication fork progression. In the absence of Mms1, genome stability is at risk at these G-rich/G4 regions as demonstrated by gross chromosomal rearrangement assays. Mms1 binds throughout the cell cycle to these G-rich/G4 regions and supports the binding of Pif1 DNA helicase. Based on these data we propose a mechanistic model in which Mms1 binds to specific G-rich/G4 motif located on the lagging strand template for DNA replication and supports Pif1 function, DNA replication and genome integrity.
Adhesion-type G protein-coupled receptors (aGPCRs), a large molecule family with over 30 members in humans, operate in organ development, brain function and govern immunological responses. Correspondingly, this receptor family is linked to a multitude of diverse human diseases. aGPCRs have been suggested to possess mechanosensory properties, though their mechanism of action is fully unknown. Here we show that the Drosophila aGPCR Latrophilin/dCIRL acts in mechanosensory neurons by modulating ionotropic receptor currents, the initiating step of cellular mechanosensation. This process depends on the length of the extended ectodomain and the tethered agonist of the receptor, but not on its autoproteolysis, a characteristic biochemical feature of the aGPCR family. Intracellularly, dCIRL quenches cAMP levels upon mechanical activation thereby specifically increasing the mechanosensitivity of neurons. These results provide direct evidence that the aGPCR dCIRL acts as a molecular sensor and signal transducer that detects and converts mechanical stimuli into a metabotropic response.
A recent study by Peng and Yang in Scientific Reports using confocal-microscopy based automated quantification of anti-synapsin labeled microglomeruli in the mushroom bodies of honeybee brains reports potentially incorrect numbers of microglomerular densities. Whereas several previous studies using visually supervised or automated counts from confocal images and analyses of serial 3D electron-microscopy data reported consistent numbers of synaptic complexes per volume, Peng and Yang revealed extremely low numbers differing by a factor of 18 or more from those obtained in visually supervised counts, and by a factor 22–180 from numbers in two other studies using automated counts. This extreme discrepancy is especially disturbing as close comparison of raw confocal images of anti-synapsin labeled whole-mount brain preparations are highly similar across these studies. We conclude that these discrepancies may reside in potential misapplication of confocal imaging followed by erroneous use of automated image analysis software. Consequently, the reported microglomerular densities during maturation and after manipulation by insecticides require validation by application of appropriate confocal imaging methods and analyses tools that rely on skilled observers. We suggest several improvements towards more reliable or standardized automated or semi-automated synapse counts in whole mount preparations of insect brains.
The availability of pollen in agricultural landscapes is essential for the successful growth and reproduction of honey bee colonies (Apis mellifera L.). The quantity and diversity of collected pollen can influence the growth and health of honey bee colonies, but little is known about the influence of landscape structure on pollen diet. In a field experiment, we rotated 16 honey bee colonies across 16 agricultural landscapes, used traps to collect samples of collected pollen and observed intra-colonial dance communication to gain information about foraging distances. DNA metabarcoding was applied to analyze mixed pollen samples. Neither the amount of collected pollen nor pollen diversity was related to landscape diversity. However, we found a strong seasonal variation in the amount and diversity of collected pollen in all sites independent of landscape diversity. The observed increase in foraging distances with decreasing landscape diversity suggests that honey bees compensated for lower landscape diversity by increasing their pollen foraging range in order to maintain pollen amount and diversity. Our results underscore the importance of a diverse pollen diet for honey bee colonies. Agri-environmental schemes aiming to support pollinators should focus on possible spatial and temporal gaps in pollen availability and diversity in agricultural landscapes.
Cytotoxic T lymphocytes are effector CD8\(^{+}\) T cells that eradicate infected and malignant cells. Here we show that the transcription factor NFATc1 controls the cytotoxicity of mouse cytotoxic T lymphocytes. Activation of Nfatc1\(^{-/-}\) cytotoxic T lymphocytes showed a defective cytoskeleton organization and recruitment of cytosolic organelles to immunological synapses. These cells have reduced cytotoxicity against tumor cells, and mice with NFATc1-deficient T cells are defective in controlling Listeria infection. Transcriptome analysis shows diminished RNA levels of numerous genes in Nfatc1\(^{-/-}\) CD8\(^{+}\) T cells, including Tbx21, Gzmb and genes encoding cytokines and chemokines, and genes controlling glycolysis. Nfatc1\(^{-/-}\), but not Nfatc2\(^{-/-}\) CD8\(^{+}\) T cells have an impaired metabolic switch to glycolysis, which can be restored by IL-2. Genome-wide ChIP-seq shows that NFATc1 binds many genes that control cytotoxic T lymphocyte activity. Together these data indicate that NFATc1 is an important regulator of cytotoxic T lymphocyte effector functions.
Background: During early prenatal stages of brain development, serotonin (5-HT)-specific neurons migrate through somal translocation to form the raphe nuclei and subsequently begin to project to their target regions. The rostral cluster of cells, comprising the median and dorsal raphe (DR), innervates anterior regions of the brain, including the prefrontal cortex. Differential analysis of the mouse 5-HT system transcriptome identified enrichment of cell adhesion molecules in 5-HT neurons of the DR. One of these molecules, cadherin-13 (Cdh13) has been shown to play a role in cell migration, axon pathfinding, and synaptogenesis. This study aimed to investigate the contribution of Cdh13 to the development of the murine brain 5-HT system.
Methods: For detection of Cdh13 and components of the 5-HT system at different embryonic developmental stages of the mouse brain, we employed immunofluorescence protocols and imaging techniques, including epifluorescence, confocal and structured illumination microscopy. The consequence of CDH13 loss-of-function mutations on brain 5-HT system development was explored in a mouse model of Cdh13 deficiency.
Results: Our data show that in murine embryonic brain Cdh13 is strongly expressed on 5-HT specific neurons of the DR and in radial glial cells (RGCs), which are critically involved in regulation of neuronal migration. We observed that 5-HT neurons are intertwined with these RGCs, suggesting that these neurons undergo RGC-guided migration. Cdh13 is present at points of intersection between these two cell types. Compared to wildtype controls, Cdh13-deficient mice display increased cell densities in the DR at embryonic stages E13.5, E17.5, and adulthood, and higher serotonergic innervation of the prefrontal cortex at E17.5.
Conclusion: Our findings provide evidence for a role of CDH13 in the development of the serotonergic system in early embryonic stages. Specifically, we indicate that Cdh13 deficiency affects the cell density of the developing DR and the posterior innervation of the prefrontal cortex (PFC), and therefore might be involved in the migration, axonal outgrowth and terminal target finding of DR 5-HT neurons. Dysregulation of CDH13 expression may thus contribute to alterations in this system of neurotransmission, impacting cognitive function, which is frequently impaired in neurodevelopmental disorders including attention-deficit/hyperactivity and autism spectrum disorders.
Background
Artificial rearing of honey bee larvae is an established method which enables to fully standardize the rearing environment and to manipulate the supplied diet to the brood. However, there are no studies which compare learning performance or neuroanatomic differences of artificially-reared (in-lab) bees in comparison with their in-hive reared counterparts.
Methods
Here we tested how different quantities of food during larval development affect body size, brain morphology and learning ability of adult honey bees. We used in-lab rearing to be able to manipulate the total quantity of food consumed during larval development. After hatching, a subset of the bees was taken for which we made 3D reconstructions of the brains using confocal laser-scanning microscopy. Learning ability and memory formation of the remaining bees was tested in a differential olfactory conditioning experiment. Finally, we evaluated how bees reared with different quantities of artificial diet compared to in-hive reared bees.
Results
Thorax and head size of in-lab reared honey bees, when fed the standard diet of 160 µl or less, were slightly smaller than hive bees. The brain structure analyses showed that artificially reared bees had smaller mushroom body (MB) lateral calyces than their in-hive counterparts, independently of the quantity of food they received. However, they showed the same total brain size and the same associative learning ability as in-hive reared bees. In terms of mid-term memory, but not early long-term memory, they performed even better than the in-hive control.
Discussion
We have demonstrated that bees that are reared artificially (according to the Aupinel protocol) and kept in lab-conditions perform the same or even better than their in-hive sisters in an olfactory conditioning experiment even though their lateral calyces were consistently smaller at emergence. The applied combination of experimental manipulation during the larval phase plus subsequent behavioral and neuro-anatomic analyses is a powerful tool for basic and applied honey bee research.
Timing seasonal events, like reproduction or diapause, is crucial for the survival of many species. Global change causes phenologies worldwide to shift, which requires a mechanistic explanation of seasonal time measurement. Day length (photoperiod) is a reliable indicator of winter arrival, but it remains unclear how exactly species measure day length. A reference for time of day could be provided by a circadian clock, by an hourglass clock, or, as some newer models suggest, by a damped circadian clock. However, damping of clock outputs has so far been rarely observed. To study putative clock outputs of Acyrthosiphon pisum aphids, we raised individual nymphs on coloured artificial diet, and measured rhythms in metabolic activity in light-dark illumination cycles of 16:08 hours (LD) and constant conditions (DD). In addition, we kept individuals in a novel monitoring setup and measured locomotor activity. We found that A. pisum is day-active in LD, potentially with a bimodal distribution. In constant darkness rhythmicity of locomotor behaviour persisted in some individuals, but patterns were mostly complex with several predominant periods. Metabolic activity, on the other hand, damped quickly. A damped circadian clock, potentially driven by multiple oscillator populations, is the most likely explanation of our results.
A fundamental problem in deciding between mutually exclusive options is that the decision needs to be categorical although the properties of the options often differ but in grade. We developed an experimental handle to study this aspect of behavior organization. Larval Drosophila were trained such that in one set of animals odor A was rewarded, but odor B was not (A+/B), whereas a second set of animals was trained reciprocally (A/B+). We then measured the preference of the larvae either for A, or for B, or for “morphed” mixtures of A and B, that is for mixtures differing in the ratio of the two components. As expected, the larvae showed higher preference when only the previously rewarded odor was presented than when only the previously unrewarded odor was presented. For mixtures of A and B that differed in the ratio of the two components, the major component dominated preference behavior—but it dominated less than expected from a linear relationship between mixture ratio and preference behavior. This suggests that a minor component can have an enhanced impact in a mixture, relative to such a linear expectation. The current paradigm may prove useful in understanding how nervous systems generate discrete outputs in the face of inputs that differ only gradually.
Viral infections induce a significant impact on various functional categories of biological processes in the host. The understanding of this complex modification of the infected host immune system requires a global and detailed overview on the infection process. Therefore it is essential to apply a powerful approach which identifies the involved components conferring the capacity to recognize and respond to specific pathogens, which in general are defeated in so-called compatible virus-plant infections. Comparative and integrated systems biology of plant-virus interaction progression may open a novel framework for a systemic picture on the modulation of plant immunity during different infections and understanding pathogenesis mechanisms. In this thesis these approaches were applied to study plant-virus infections during two main viral pathogens of cassava: Cassava brown streak virus and African cassava mosaic virus.
Here, the infection process was reconstructed by a combination of omics data-based analyses and metabolic network modelling, to understand the major metabolic pathways and elements underlying viral infection responses in different time series, as well as the flux activity distribution to gain more insights into the metabolic flow and mechanism of regulation; this resulted in simultaneous investigations on a broad spectrum of changes in several levels including the gene expression, primary metabolites, and enzymatic flux associated with the characteristic disease development process induced in Nicotiana benthamiana plants due to infection with CBSV or ACMV.
Firstly, the transcriptome dynamics of the infected plant was analysed by using mRNA-sequencing, in order to investigate the differential expression profile according the symptom developmental stage. The spreading pattern and different levels of biological functions of these genes were analysed associated with the infection stage and virus entity. A next step was the Real-Time expression modification of selected key pathway genes followed by their linear regression model. Subsequently, the functional loss of regulatory genes which trigger R-mediated resistance was observed. Substantial differences were observed between infected mutants/transgenic lines and wild-types and characterized in detail. In addition, we detected a massive localized accumulation of ROS and quantified the scavenging genes expression in the infected wild-type plants relative to mock infected controls.
Moreover, we found coordinated regulated metabolites in response to viral infection measured by using LC-MS/MS and HPLC-UV-MS. This includes the profile of the phytohormones, carbohydrates, amino acids, and phenolics at different time points of infection with the RNA and DNA viruses. This was influenced by differentially regulated enzymatic activities along the salicylate, jasmonate, and chorismate biosynthesis, glycolysis, tricarboxylic acid cycle, and pentose phosphate pathways, as well as photosynthesis, photorespiration, transporting, amino acid and fatty acid biosynthesis. We calculated the flux redistribution considering a gradient of modulation for enzymes along different infection stages, ranging from pre-symptoms towards infection stability.
Collectively, our reverse-engineering study consisting of the generation of experimental data and modelling supports the general insight with comparative and integrated systems biology into a model plant-virus interaction system. We refine the cross talk between transcriptome modification, metabolites modulation and enzymatic flux redistribution during compatible infection progression. The results highlight the global alteration in a susceptible host, correlation between symptoms severity and the alteration level. In addition we identify the detailed corresponding general and specific responses to RNA and DNA viruses at different stages of infection. To sum up, all the findings in this study strengthen the necessity of considering the timing of treatment, which greatly affects plant defence against viral infection, and might result in more efficient or combined targeting of a wider range of plant pathogens.
A fundamental question in current biology concerns the translational mechanisms leading from genetic variability to phenotypes. Technologies have evolved to the extent that they can efficiently and economically determine an individual’s genomic composition, while at the same time big data on clinical profiles and diagnostics have substantially accumulated. Genome-wide association studies linking genomic loci to certain traits, however, remain limited in their capacity to explain the cellular mechanisms that underlie the given association. For most associations, gene expression has been blamed; yet given that transcript and protein abundance oftentimes do not correlate, that finding does not necessarily decrypt the underlying mechanism. Thus, the integration of further information is crucial to establish a model that could prove more accurate in predicting genotypic effects on the human organism.
In this work we describe the so-called proteotype as a feature of the cell that could provide a substantial link between genotype and phenotype. Rather than looking at the proteome as a set of independent molecules, we demonstrate a consistent modular architecture of the proteome that is driven by molecular cooperativity. Functional modules, especially protein complexes, can be further interrogated for differences between individuals and tackled as imprints of genetic and environmental variability. We also show that subtle stoichiometric changes of protein modules could have broader effects on the cellular system, such as the transport of specific molecular cargos.
The presented work also delineates to what extent temporal events and processes influence the stoichiometry of protein complexes and functional modules. The re-wiring of the glycolytic pathway for example is illustrated as a potential cause for an increased Warburg effect during the ageing of the human bone marrow. On top of analyzing protein abundances we also interrogate proteome dynamics in terms of stability and solubility transitions during the short temporal progression of the cell cycle. One of our main observations in the thesis encompass the delineation of protein complexes into respective sub-complexes according to distinct stability patterns during the cell cycle. This has never been demonstrated before, and is functionally relevant for our understanding of the dis- and assembly of large protein modules.
The insights presented in this work imply that the proteome is more than the sum of its parts, and primarily driven by variability in entire protein ensembles and their cooperative nature. Analyzing protein complexes and functional modules as molecular reflections of genetic and environmental variations could indeed prove to be a stepping stone in closing the gap between genotype and phenotype and customizing clinical treatments in the future.
Charakterisierung der Wechselwirkung zwischen N-Myc und Aurora-A im MYCN-amplifizierten Neuroblastom
(2019)
Im Neuroblastom ist die Amplifikation des MYCN-Gens, eines Mitglieds der MYC-Onkogenfamilie, mit einer ungünstigen Prognose assoziiert. Der von dem Gen kodierte Transkriptionsfaktor N-Myc ist für die Proliferation der MYCN-amplifizierten Neuroblastomzelllinien notwendig und seine Depletion oder Destabilisierung führen zum Proliferationsarrest (Otto et al., 2009). Da N-Myc auf Proteinebene durch die Interaktion mit der mitotischen Kinase Aurora-A stabilisiert wird, bewirkt deren Depletion oder die Hemmung der Interaktion der beiden Proteine mittels spezieller Aurora- A-Inhibitoren (z.B. MLN8054 und MLN8237) ebenso eine Hemmung der Proliferation – in vitro und in vivo (Brockmann et al., 2013). Bisher ist jedoch unklar, über welchen Mechanismus Aurora-A die Stabilisierung von N-Myc erreicht, die Kinaseaktivität spielt hierbei jedoch keine Rolle (Otto et al., 2009). Eine Möglichkeit stellt die Rekrutierung von Usps dar, die das angehängte Ubiquitinsignal so modifizieren, dass die Erkennung und der Abbau des Proteins durch das Proteasom verringert werden. In der vorliegenden Arbeit wurde die Wirkung von Usp7 und Usp11 auf die Stabilität von N-Myc untersucht. Für beide konnte in Immunpräzipitationen die Interaktion mit N-Myc gezeigt werden. Ebenso erhöhten beide Proteasen in Überexpressionsexperimenten die vorhandene Menge an NMyc. Die Depletion von Usp7 mittels shRNAs führte in IMR-32 zu einem Arrest in der G1-Phase und zur Differenzierung der Zellen. Gleichzeitig wurden stark erniedrigte mRNA- und Proteinmengen von N-Myc und Aurora-A nachgewiesen. Es konnte jedoch nicht eindeutig gezeigt werden, ob die beobachteten zellulären Effekte durch eine vermehrte proteasomale Degradation von N-Myc begründet sind oder ob dabei die veränderte Regulation weiterer Zielproteine von Usp7 eine Rolle spielt. Die Depletion von Usp11 mit shRNAs bewirkte eine Abnahme der N-Myc-Mengen auf posttranslationaler Ebene. Somit stellen beide Usps vielversprechende Angriffspunkte einer gezielten Therapie in MYCN-amplifizierten Neuroblastomen dar und sollten deshalb Gegenstand weiterführender Untersuchungen sein. Über welche Proteindomäne in N-Myc die Interaktion mit Aurora-A stattfindet ist nicht bekannt. Eine mögliche Pseudosubstratbindungssequenz in Myc-Box I (Idee Richard Bayliss, University of Leicester) wurde in der vorliegenden Arbeit untersucht. Durch Mutation dieser Sequenz sollte die Bindung von Aurora-A unmöglich gemacht werden. Allerdings wurde die erwartete Abnahme der Stärke der Interaktion von Aurora-A und N-Myc durch die Mutation ebensowenig beobachtet wie eine verringerte Stabilität. Die Regulation der Phosphorylierung von N-Myc im Verlauf des Zellzyklus wurde durch die Mutation beeinträchtigt. Wie diese Veränderung exakt zu begründen ist bedarf weiterer Experimente
Bee pollination increases yield quantity and quality of cash crops in Burkina Faso, West Africa
(2017)
Mutualistic biotic interactions as among flowering plants and their animal pollinators are a key component of biodiversity. Pollination, especially by insects, is a key element in ecosystem functioning, and hence constitutes an ecosystem service of global importance. Not only sexual reproduction of plants is ensured, but also yields are stabilized and genetic variability of crops is maintained, counteracting inbreeding depression and facilitating system resilience. While experiencing rapid environmental change, there is an increased demand for food and income security, especially in sub-Saharan communities, which are highly dependent on small scale agriculture. By combining exclusion experiments, pollinator surveys and field manipulations, this study for the first time quantifies the contribution of bee pollinators to smallholders’ production of the major cash crops, cotton and sesame, in Burkina Faso. Pollination by honeybees and wild bees significantly increased yield quantity and quality on average up to 62%, while exclusion of pollinators caused an average yield gap of 37% in cotton and 59% in sesame. Self-pollination revealed inbreeding depression effects on fruit set and low germination rates in the F1-generation. Our results highlight potential negative consequences of any pollinator decline, provoking risks to agriculture and compromising crop yields in sub-Saharan West Africa.
Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases
(2016)
Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.
Depreissia is a little known genus comprising two hymenopteran-mimicking species, one found in Central Africa and one in the north of Borneo. The male of D. decipiens is redescribed, the female is described for the first time. The carapace is elongated, dorsally flattened and rhombus-shaped, the rear of the thorax laterally depressed and transformed, with a pair of deep pits; the pedicel is almost as long as the abdomen. The male palp is unusual, characterized by the transverse deeply split membranous tegulum separating a ventral part which bears a sclerotized tegular apophysis and a large dagger-like retrodirected median apophysis. The female epigyne consists of one pair of large adjacent spermathecae and very long copulatory ducts arising posteriorly and rising laterally alongside the spermathecae continuing in several vertical and horizontal coils over the anterior surface. Relationships within the Salticidae are discussed and an affinity with the Cocalodinae is suggested. Arguments are provided for a hypothesis that D. decipiens is not ant-mimicking as was previously believed, but is a mimic of polistinine wasps. The species was found in the canopy in the Kinabalu area only, in primary and old secondary rainforest at 200–700 m.a.s.l. Overlap of canopy-dwelling spider species with those in the understorey are discussed and examples of species richness and endemism in the canopy are highlighted. Canopy fogging is a very efficient method of collecting for most arthropods. The canopy fauna adds an extra dimension to the known biodiversity of the tropical rainforest. In southeast Asia, canopy research has been neglected, inhibiting evaluation of comparative results of this canopy project with that from other regions. More use of fogging as a collecting method would greatly improve insight into the actual species richness and species distribution in general.
Agricultural intensification often leads to fragmentation of natural habitats, such as forests, and thereby negatively affects forest specialist species. However, human introduced habitats, such as hedges, may counteract negative effects of forest fragmentation and increase dispersal, particularly of forest specialists. We studied effects of habitat type (forest edge versus hedge) and hedge isolation from forests (connected versus isolated hedge) in agricultural landscapes on abundance, species richness and community composition of mice, voles and shrews in forest edges and hedges. Simultaneously to these effects of forest edge/hedge type we analysed impacts of habitat structure, namely percentage of bare ground and forest edge/hedge width, on abundance, species richness and community composition of small mammals. Total abundance and forest specialist abundance (both driven by the most abundant species Myodes glareolus, bank vole) were higher in forest edges than in hedges, while hedge isolation had no effect. In contrast, abundance of habitat generalists was higher in isolated compared to connected hedges, with no effect of habitat type (forest edge versus hedge). Species richness as well as abundance of the most abundant habitat generalist Sorex araneus (common shrew), were not affected by habitat type or hedge isolation. Decreasing percentage of bare ground and increasing forest edge/hedge width was associated with increased abundance of forest specialists, while habitat structure was unrelated to species richness or abundance of any other group. Community composition was driven by forest specialists, which exceeded habitat generalist abundance in forest edges and connected hedges, while abundances were similar to each other in isolated hedges. Our results show that small mammal forest specialists prefer forest edges as habitats over hedges, while habitat generalists are able to use unoccupied ecological niches in isolated hedges. Consequently even isolated hedges can be marginal habitats for forest specialists and habitat generalists and thereby may increase regional farmland biodiversity.
Lungfish and coelacanths are the only living sarcopterygian fish. The phylogenetic relationship of lungfish to the last common ancestor of tetrapods and their close morphological similarity to their fossil ancestors make this species uniquely interesting. However their genome size, the largest among vertebrates, is hampering the generation of a whole genome sequence. To provide a partial solution to the problem, a high-coverage lungfish reference transcriptome was generated and assembled. The present findings indicate that lungfish, not coelacanths, are the closest relatives to land-adapted vertebrates. Whereas protein-coding genes evolve at a very slow rate, possibly reflecting a “living fossil” status, transposable elements appear to be active and show high diversity, suggesting a role for them in the remarkable expansion of the lungfish genome. Analyses of single genes and gene families documented changes connected to the water to land transition and demonstrated the value of the lungfish reference transcriptome for comparative studies of vertebrate evolution.
Recently, a genome-wide analysis identified DNA methylation of the HIF3A (hypoxia-inducible factor 3A) as strongest correlate of BMI. Here we tested the hypothesis that HIF3A mRNA expression and CpG-sites methylation in adipose tissue (AT) and genetic variants in HIF3A are related to parameters of AT distribution and function. In paired samples of subcutaneous AT (SAT) and visceral AT (VAT) from 603 individuals, we measured HIF3A mRNA expression and analyzed its correlation with obesity and related traits. In subgroups of individuals, we investigated the effects on HIF3A genetic variants on its AT expression (N = 603) and methylation of CpG-sites (N = 87). HIF3A expression was significantly higher in SAT compared to VAT and correlated with obesity and parameters of AT dysfunction (including CRP and leucocytes count). HIF3A methylation at cg22891070 was significantly higher in VAT compared to SAT and correlated with BMI, abdominal SAT and VAT area. Rs8102595 showed a nominal significant association with AT HIF3A methylation levels as well as with obesity and fat distribution. HIF3A expression and methylation in AT are fat depot specific, related to obesity and AT dysfunction. Our data support the hypothesis that HIF pathways may play an important role in the development of AT dysfunction in obesity.
Assigning functions to uncultivated environmental microorganisms continues to be a challenging endeavour. Here, we present a new microscopy protocol for fluorescence in situ hybridisation-correlative light and electron microscopy (FISH-CLEM) that enabled, to our knowledge for the first time, the identification of single cells within their complex microenvironment at electron microscopy resolution. Members of the candidate phylum Poribacteria, common and uncultivated symbionts of marine sponges, were used towards this goal. Cellular 3D reconstructions revealed bipolar, spherical granules of low electron density, which likely represent carbon reserves. Poribacterial activity profiles were retrieved from prokaryotic enriched sponge metatranscriptomes using simulation-based optimised mapping. We observed high transcriptional activity for proteins related to bacterial microcompartments (BMC) and we resolved their subcellular localisation by combining FISH-CLEM with immunohistochemistry (IHC) on ultra-thin sponge tissue sections. In terms of functional relevance, we propose that the BMC-A region may be involved in 1,2-propanediol degradation. The FISH-IHC-CLEM approach was proven an effective toolkit to combine -omics approaches with functional studies and it should be widely applicable in environmental microbiology.
Mutation Detection in Patients with Retinal Dystrophies Using Targeted Next Generation Sequencing
(2016)
Retinal dystrophies (RD) constitute a group of blinding diseases that are characterized by clinical variability and pronounced genetic heterogeneity. The different nonsyndromic and syndromic forms of RD can be attributed to mutations in more than 200 genes. Consequently, next generation sequencing (NGS) technologies are among the most promising approaches to identify mutations in RD. We screened a large cohort of patients comprising 89 independent cases and families with various subforms of RD applying different NGS platforms. While mutation screening in 50 cases was performed using a RD gene capture panel, 47 cases were analyzed using whole exome sequencing. One family was analyzed using whole genome sequencing. A detection rate of 61% was achieved including mutations in 34 known and two novel RD genes. A total of 69 distinct mutations were identified, including 39 novel mutations. Notably, genetic findings in several families were not consistent with the initial clinical diagnosis. Clinical reassessment resulted in refinement of the clinical diagnosis in some of these families and confirmed the broad clinical spectrum associated with mutations in RD genes.
Background
Tropical mountain forests are hotspots of biodiversity hosting a huge but little known diversity of insects that is endangered by habitat destruction and climate change. Therefore, rapid assessment approaches of insect diversity are urgently needed to complement slower traditional taxonomic approaches. We empirically compare different DNA-based species delimitation approaches for a rapid biodiversity assessment of hyperdiverse leaf beetle assemblages along an elevational gradient in southern Ecuador and explore their effect on species richness estimates.
Methodology/Principal Findings
Based on a COI barcode data set of 674 leaf beetle specimens (Coleoptera: Chrysomelidae) of 266 morphospecies from three sample sites in the Podocarpus National Park, we employed statistical parsimony analysis, distance-based clustering, GMYC- and PTP-modelling to delimit species-like units and compared them to morphology-based (parataxonomic) species identifications. The four different approaches for DNA-based species delimitation revealed highly similar numbers of molecular operational taxonomic units (MOTUs) (n = 284–289). Estimated total species richness was considerably higher than the sampled amount, 414 for morphospecies (Chao2) and 469–481 for the different MOTU types. Assemblages at different elevational levels (1000 vs. 2000 m) had similar species numbers but a very distinct species composition for all delimitation methods. Most species were found only at one elevation while this turnover pattern was even more pronounced for DNA-based delimitation.
Conclusions/Significance
Given the high congruence of DNA-based delimitation results, probably due to the sampling structure, our study suggests that when applied to species communities on a regionally limited level with high amount of rare species (i.e. ~50% singletons), the choice of species delimitation method can be of minor relevance for assessing species numbers and turnover in tropical insect communities. Therefore, DNA-based species delimitation is confirmed as a valuable tool for evaluating biodiversity of hyperdiverse insect communities, especially when exact taxonomic identifications are missing.
Queen Specific Exocrine Glands in Legionary Ants and Their Possible Function in Sexual Selection
(2016)
The colonies of army ants and some other legionary ant species have single, permanently wingless queens with massive post petioles and large gasters. Such highly modified queens are called dichthadiigynes. This paper presents the unusually rich exocrine gland endowment of dichthadiigynes, which is not found in queens of other ant species. It has been suggested these kinds of glands produce secretions that attract and maintain worker retinues around queens, especially during migration. However, large worker retinues also occur in non-legionary species whose queens do not have such an exuberance of exocrine glands. We argue and present evidence in support of our previously proposed hypothesis that the enormous outfit of exocrine glands found in dichthadiigynes is due to sexual selection mediated by workers as the main selecting agents
Colorectal Cancer and the Human Gut Microbiome: Reproducibility with Whole-Genome Shotgun Sequencing
(2016)
Accumulating evidence indicates that the gut microbiota affects colorectal cancer development, but previous studies have varied in population, technical methods, and associations with cancer. Understanding these variations is needed for comparisons and for potential pooling across studies. Therefore, we performed whole-genome shotgun sequencing on fecal samples from 52 pre-treatment colorectal cancer cases and 52 matched controls from Washington, DC. We compared findings from a previously published 16S rRNA study to the metagenomics-derived taxonomy within the same population. In addition, metagenome-predicted genes, modules, and pathways in the Washington, DC cases and controls were compared to cases and controls recruited in France whose specimens were processed using the same platform. Associations between the presence of fecal Fusobacteria, Fusobacterium, and Porphyromonas with colorectal cancer detected by 16S rRNA were reproduced by metagenomics, whereas higher relative abundance of Clostridia in cancer cases based on 16S rRNA was merely borderline based on metagenomics. This demonstrated that within the same sample set, most, but not all taxonomic associations were seen with both methods. Considering significant cancer associations with the relative abundance of genes, modules, and pathways in a recently published French metagenomics dataset, statistically significant associations in the Washington, DC population were detected for four out of 10 genes, three out of nine modules, and seven out of 17 pathways. In total, colorectal cancer status in the Washington, DC study was associated with 39% of the metagenome-predicted genes, modules, and pathways identified in the French study. More within and between population comparisons are needed to identify sources of variation and disease associations that can be reproduced despite these variations. Future studies should have larger sample sizes or pool data across studies to have sufficient power to detect associations that are reproducible and significant after correction for multiple testing.
Das hohe invasive Potential und die starke Resistenz gegen Radio-/Chemotherapie von Glioblastoma multiforme (GBM) Zellen machen sie zu dem tödlichsten Tumor ihrer Art. Es ist deshalb von großem Interesse die Grundlagen, welche der Migrationsfähigkeit und DNA Reparatur zu Grunde liegen, besser zu verstehen.
Im ersten Teil dieser Arbeit wurden zwei Algorithmen zur automatischen Analyse der Migration in der Einzelzellverfolgung und im Wundheilungsassay modifiziert. Die Auswertung der Daten konnte automatisch und somit schnell, effektiv und mit geringerem Arbeitsaufwand durchgeführt werden. Mit Hilfe dieser automatischen Algorithmen wurde die Migrationsfähigkeit von zwei GBM-Zelllinien (DK-MG und SNB19) untersucht. Zusätzlich wurde die konfokale Laserscanning- sowie die hochauflösende dSTORM-Fluoreszenzmikroskopie verwendet um die, der Zellbewegung zu Grunde liegende, Struktur des F Aktin und der fokalen Adhäsionskinase (FAK) aufzulösen und darzustellen. Unter Anwendung dieser genannten Methoden sind die Effekte des dualen PI3K/mTOR Inhibitors PI-103 alleine und in Kombination mit dem Hsp90 Inhibitor NVP AUY922 mit und ohne Bestrahlung auf die Bewegung untersucht worden. Es konnte festgestellt werden, dass sich beide Zelllinien deutlich in ihrem migratorischem Potential in vitro unterscheiden und zudem auch markante Unterschiede in ihrer Morphologie aufweisen. Die weniger invasiven DK MG-Zellen besitzen eine polarisierte Zellstruktur, wohingegen SNB19-Zellen sich durch multipolare ungerichtete Bewegung auszeichneten. Zudem wurde die Migration, durch PI3K/mTOR Inhibition mit PI-103 bei den DK-MG-Zellen (p53 wt, PTEN wt), sehr effektiv unterdrückt. Wohingegen sich die SNB19-Zellen (p53 mut, PTEN mut) resistent gegen diesen Inhibitor zeigten. Hsp90 Inhibition offenbarte in beiden Zelllinien einen starken inhibitorischen Effekt auf die Migration der Zellen sowie die Reorganisierung des F Aktinskelettes.
In der zweiten Hälfte dieser Arbeit wurde ein Augenmerk auf die DNA-DSB-Reparatur der GBM Zellen nach ionisierender Strahlung gelegt. Zunächst wurde eine automatische Analysesoftware „FocAn-3D“ entwickelt, mit dessen Hilfe die DNA Doppelstrangbruchreparaturkinetik untersucht werden sollte. Diese Software ermöglicht es die gesamten Zellkerne mit ihren γH2AX-Foci in 3D-cLSM-Aufnahmen zu untersuchen. Es konnte somit eine Verbesserung der Genauigkeit in der Auszählung der γH2AX-Foci erreicht werden, welche 2D beschränkter Software verwehrt bleibt. Mit FocAn-3D konnte der gesamte Verlauf der Induktions- und Abbauphase der γH2AX-Foci in DK MG- und SNB19-Zellen mit einem mathematischen Modell ausgewertet und dargestellt werden. Des Weiteren wurde die Nanometerstruktur von γH2AX- und pDNA-PKcs-Foci mittels hochauflösender dSTORM-Mikroskopie untersucht. Konventionelle Mikroskopiemethoden, begrenzt durch das Beugungslimit und einer Auflösung von ~200 nm, konnten die Nanometerstruktur (<100 nm) der Reparaturfoci bisher nicht darstellen. Mit Hilfe der beugungsunbegrenzten dSTORM-Mikroskopie war es möglich in DK MG- und SNB19-Zellen die Nanometerstruktur genannten Reparaturproteine in den Foci mit einer Auflösung von bis zu ~20 nm darzustellen. γH2AX-Foci zeigten sich als eine Verteilung aus einzelnen Untereinheiten („Nanofoci“) mit einem Durchmesser von ~45 nm. Dies lässt die Vermutung zu, dass es sich hier um die elementare Substruktur der Foci und somit der γH2AX enthaltenen Nukleosome handelt. DNA-PK-Foci wiesen hingegen eine diffusere Verteilung auf.
Die in dieser Arbeit ermittelten Unterschiede im Migrationsverhalten der Zellen rechtfertigen eine weitere präklinische Untersuchung der verwendeten Inhibitoren als potentielle Zelltherapeutika für die Behandlung von GBM. Zudem konnte sich dSTORM als machtvolles Hilfsmittel, sowohl zur Analyse der Migration zugrundeliegenden Zytoskelettstruktur und der Effekte der Hsp90 Inhibierung, als auch, der Nanostruktur der DNA-DSB-Reparaturfoci herausstellen. Es ist anzunehmen, dass beugungsunbegrenzte Mikroskopiemethoden sich als bedeutende Werkzeuge in der medizinischen und biologischen Erforschung der DNA-Reparaturmechanismen herausstellen werden. Das in dieser Arbeit entwickelte ImageJ Plugin „FocAn-3D“ bewies sich ebenfalls als ein vielversprechendes Werkzeug für die Analyse der Reparaturkinetik. Mit Hilfe von „FocAn-3D“ sollte es somit möglich sein u.a. den Einfluss gezielter Inhibition auf den zeitlichen Verlauf der Induktion und des Abbaus der DNA-Reparaturmaschinerie genauer zu studieren.
Cosmology often uses intricate formulas and mathematics to derive new theories and concepts. We do something different in this paper: We look at biological processes and derive from these heuristics so that the revised cosmology agrees with astronomical observations but does also agree with standard biological observations. We show that we then have to replace any type of singularity at the start of the universe by a condensation nucleus and that the very early period of the universe usually assumed to be inflation has to be replaced by a period of rapid crystal growth as in Weiss magnetization domains.
Impressively, these minor modifications agree well with astronomical observations including removing the strong inflation perturbations which were never observed in the recent BICEP2 experiments. Furthermore, looking at biological principles suggests that such a new theory with a condensation nucleus at start and a first rapid phase of magnetization-like growth of the ordered, physical laws obeying lattice we live in is in fact the only convincing theory of the early phases of our universe that also is compatible with current observations.
We show in detail in the following that such a process of crystal creation, breaking of new crystal seeds and ultimate evaporation of the present crystal readily leads over several generations to an evolution and selection of better, more stable and more self-organizing crystals. Moreover, this explains the “fine-tuning” question why our universe is fine-tuned to favor life: Our Universe is so self-organizing to have enough offspring and the detailed physics involved is at the same time highly favorable for all self-organizing processes including life.
This biological theory contrasts with current standard inflation cosmologies. The latter do not perform well in explaining any phenomena of sophisticated structure creation or self-organization. As proteins can only thermodynamically fold by increasing the entropy in the solution around them we suggest for cosmology a condensation nucleus for a universe can form only in a “chaotic ocean” of string-soup or quantum foam if the entropy outside of the nucleus rapidly increases. We derive an interaction potential for 1 to n-dimensional strings or quantum-foams and show that they allow only 1D, 2D, 4D or octonion interactions. The latter is the richest structure and agrees to the E8 symmetry fundamental to particle physics and also compatible with the ten dimensional string theory E8 which is part of the M-theory. Interestingly, any other interactions of other dimensionality can be ruled out using Hurwitz compositional theorem. Crystallization explains also extremely well why we have only one macroscopic reality and where the worldlines of alternative trajectories exist: They are in other planes of the crystal and for energy reasons they crystallize mostly at the same time, yielding a beautiful and stable crystal. This explains decoherence and allows to determine the size of Planck´s quantum h (very small as separation of crystal layers by energy is extremely strong).
Ultimate dissolution of real crystals suggests an explanation for dark energy agreeing with estimates for the “big rip”. The halo distribution of dark matter favoring galaxy formation is readily explained by a crystal seed starting with unit cells made of normal and dark matter.
That we have only matter and not antimatter can be explained as there may be right handed mattercrystals and left-handed antimatter crystals. Similarly, real crystals are never perfect and we argue that exactly such irregularities allow formation of galaxies, clusters and superclusters. Finally, heuristics from genetics suggest to look for a systems perspective to derive correct vacuum and Higgs Boson energies.