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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.