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During CNS development and adult neurogenesis, immature neurons travel from the germinal zones towards their final destination using cellular substrates for their migration. Classically, radial glia and neuronal axons have been shown to act as physical scaffolds to support neuroblast locomotion in processes known as gliophilic and neurophilic migration, respectively (Hatten, 1999; Marin and Rubenstein, 2003; Rakic, 2003). In adulthood, long distance neuronal migration occurs in a glial-independent manner since radial glia cells differentiate into astrocytes after birth. A series of studies highlight a novel mode of neuronal migration that uses blood vessels as scaffolds, the so-called vasophilic migration. This migration mode allows neuroblast navigation in physiological and also pathological conditions, such as neuronal precursor migration after ischemic stroke or cerebral invasion of glioma tumor cells. Here we review the current knowledge about how vessels pave the path for migrating neurons and how trophic factors derived by glio-vascular structures guide neuronal migration both during physiological as well as pathological processes
In order to investigate the diversity of the western honeybee, Apis mellifera L., in West and Central Africa, a total of 204 colonies were sampled from 44 localities in four countries – Nigeria, Niger, Cameroon and Chad. 86 of these colonies, from 23 localities, were subjected to full morphometric analysis. In a principal component analysis (PCA) of the morphometric data, the colonies formed a single cluster. It also revealed that overall size of the body was the most important source of variation between the colonies. A hierarchical structure analysis, followed by a stepwise discriminant analysis, classified the colonies into three distinct morphoclusters; however, these clusters were not geographically demarcated. In another PCA carried out with the samples under investigation and reference samples of A. m. adansonii, A. m. jemenitica and A. m. scutellata, the colonies under investigation again formed one cluster which lying over and extended beyond the clusters of the reference subspecies. This is suggestive of a wider variation in size in the bees under investigation. In a stepwise DA, 94.2% of cross-validated grouped cases were correctly classified and the distances between group centroids were highly significant (p < 0.0005) according to F-statistic. 61 and 22 of the 83 colonies under investigation were assigned to A. m. jemenitica and A. m. adansonii, respectively. Mitochondrial DNA analysis was carried out on 148 colonies from 39 localities. Four mitochondrial haplotypes, previously reported from Africa and belonging to the African mitochondrial lineage, A, were detected: A1 (n = 62), A4 (n = 70), A4' (n = 15) and A14 (n = 1). The overall haplotype diversity was low (h = 0.478 ± S. E. 0.057). A chi-square test for association was conducted between haplotypes and type of vegetation, latitude, longitude, altitude, temperature and rainfall, severally. There was a statistically significant association between haplotype and each of the six variables and the association was strong with latitude, moderate with vegetation and rainfall and weak with the remaining variables. The neighbour-joining, maximum likelihood and maximum parsimony trees, obtained from sequence variation of the cytochrome b gene of mitochondrial DNA, showed that the samples, from the current study, unambiguously clustered with the reference sequences of A. m. scutellata from Kenya, but without showing further subdivision within this sub-Saharan cluster. 133 workers (one per colony) collected from 38 localities were subjected to microsatellite analysis. A total of 292 different alleles were recorded for the 15 microsatellite loci used. All microsatellite loci were polymorphic and the number of different alleles per locus ranged between 10, in locus At163, and 31, in locus A029. Heterozygosity (or gene diversity) was high in all loci. The unbiased expected heterozygosity, which is a better expression of gene diversity, was 0.861 ± S.E. 0.017. The overall FST value, which is a good estimate of genetic differentiation of populations, was very low: 0.007 ± S.E. 0.001 (0.001 - 0.014). AMOVA and Bayesian assignment showed no differentiation of the investigated populations. Based on morphometric analysis, the results of this study present the honeybees of western Africa as a single entity with an internal variation which lacks a geographical demarcation. Consequently the results do not support the splitting of the honeybees of the region into the two subspecies, A. m. adansonii and A. m. jemenitica, as reported in the literature. More morphometric, molecular, physiological and behavioural studies are required to confirm the taxonomic status of the honeybees of the region. Meanwhile, the use of A. m. adansonii, as the sole sub-specific name for the honeybees of West and Central Africa, is recommended.
In the last couple of years the research on natural products concerning ecological questions has gained more and more interest. Especially natural products play an important role for the maintenance of symbiotic relationships.
Here we present the application of the “overlap extension PCR-yeast homologous recombination“(ExRec) to simplify the availability of natural products. We successfully cloned a 45 kb gene cluster and characterized two new peptides ambactin and xenolindicin from Xenorhabdus – the latter derived from a silent gene cluster. ExRec is a very efficient cloning technique and resembles a powerful method regarding the assembly of large gene clusters as well as the cloning from metagenomic libraries or RNA pools.
In addition, we discovered bacterial pyrrolizidine alkaloids from Xenorhabdus, referred to as pyrrolizixenamides. The gene cluster consisted of a NRPS and a hydroxylase encoding gene. Surprisingly, this gene cluster and its variations (type A to D) can be found throughout the bacterial kingdom which might indicate an essential function. While these substances are mainly known to play a role in the defense mechanism of plants, the function of the identified pyrrolizixenamides from Xenorhabdus yet remains unsolved.
Moreover, we firstly identified a phosphopantetheinyl transferase (PPTase) from the lichenized fungus of Evernia prunastri. The gene eppA encoding a Sfp-type PPTase was heterologously expressed in Escherichia coli and Saccharomyces cerevisiae and functional characterized by indigoidine production and complementation of lys5, respectively. All represented results contribute to the elucidation of natural products and thereby to their role in nature with special regard to symbiotic associations.
Photosynthesis is one of the most vital processes that takes place on Earth. Due to its global significance related to food, energy and material production, photosynthesis research is one of the leading scientific fields in the contemporary world. Particular interest in photosynthesis research is focused on diatoms and as one of the major players of marine phytoplankton, diatoms have a huge impact on global photosynthesis.
Diatoms originated from a secondary endosymbiosis that took place between a putative photosynthetic red algal ancestor and a heterotrophic eukaryote. Secondary endosymbiosis resulted in the formation of chloroplasts with four membranes. Centric diatoms (e.g. Thalassiosira pseudonana or Cyclotella meneghiniana) usually possess many small chloroplasts, while pennates (e.g. Phaeodactylum tricornutum) have several larger ones, or even only one which can occupy half of the cell volume...
Terrestrische Säugetiere werden von unterschiedlichen Parasiten als Wirte genutzt. Dabei kann ihre Parasitenfauna je nach Art, Lebensweise, Verbreitung, Gesundheitszustand und Reproduktionsstatus des Wirts abweichen. Ein weiterer bestimmender Faktor, ist der Einfluss des Menschen in Form von Regulierungsmaßnahmen und Schaffung urbaner Lebensräume. Domestizierte Haustiere bzw. Nutztiere weisen daher in der Regel andere Parasiten auf als ihre wildlebenden Artgenossen. Gleichzeitig können sich sowohl Wildtiere als auch domestizierte Tiere und Menschen gegenseitig Parasitenarten teilen und wechselseitig aufeinander übertragen. Daraus resultierende Krankheiten werden als Zoonosen bezeichnet.
Insbesondere Fledermäuse (Unterordnung Microchiroptera) zeigen weltweit eine enorme Parasitendiversität, die noch weitgehend unerforscht ist. Ebenfalls Forschungsbedarf besteht für die Sandfloh-Gattung Tunga in Süd- und Mittelamerika in Hinblick auf ihr Wirtsspektrum, welches auch Menschen einschließt. Die Art Tunga penetrans und zahlreiche weitere Parasitenarten, parasitieren gleichzeitig auch bei Hunden. Daher stellen diese Wirte eine direkte Gesundheitsgefahr für Menschen in ihrer unmittelbaren Umgebung dar.
Die vorliegende Dissertation ist in kumulativer Form zusammengefasst und beinhaltet drei Einzelpublikationen sowie einen Reviewartikel.
Ziel war es, die Parasitendiversität von Hunden aus urbanen tropischen Gebieten und die Parasitendiversität des Großen Ameisenbären (Myrmecophaga tridactyla) mit Hilfe morphologischer und molekularbiologischer Methoden zu analysieren. Die jeweiligen Parasitenfaunen wurden in Hinblick auf die soziale bzw. solitäre Lebensweise der beiden Wirtsarten verglichen und ihr zoonotisches Potenzial bewertet.
Ein weiteres Ziel war die Zusammenfassung der Ektoparasitennachweise süd- und mittelamerikanischer Microchiroptera und für die europäischen Arten der Fledermaus-Gattung Myotis (hier Endo- und Ektoparasiten) auf Basis der verfügbaren Literatur. Des Weiteren sollten eigene Parasitennachweise aus Bolivien bzw. Deutschland erfolgen. Für die Nachweise aus Deutschland wurden M. myotis untersucht, deren Artzugehörigkeit vorher bestimmt wurde. Zusätzlich wurden diese Individuen auf humanpathogene Lyssaviren untersucht.
Die Nachweise erfolgten über molekularbiologische und morphologische Methoden.
Stechmücken (Dipteren: Culicidae) sind weltweit mit über 3500 Arten und mit Ausnahme der arktischen Regionen ubiquitär vertreten. Die medizinische Relevanz dieser Tiergruppe, begründet durch die hämatophage Lebensweise der Weibchen, erschloss sich bereits Ende des 19. Jh. und hat bis heute Bestand. Jedes Jahr sterben rund 600.000 Menschen an den Folgen der Malaria und fast 100 Mio. Menschen infizieren sich mit dem Denguefieber. Zwar beziehen sich diese Zahlen fast ausschließlich auf die Entwicklungsländer, aber im Zuge des Klimawandels und des immer stärkeren Welthandels kommt es auch in Europa und den USA immer wieder zu Ausbrüchen vorher nicht relevanter Krankheiten. So hat sich das West-Nil- Virus seit 1999 in Nordamerika rasant verbreitet. Im Jahr 2013 gab es dort rund 2500 Fälle, von denen 119 zum Tod führten. In Europa traten hingegen Krankheiten wie das Chikungunyafieber (Italien 2007) oder das Denguefieber (Frankreich 2010/2013) auf. Die Gründe für diese Ausbrüche sind vor allem in der Einschleppung neuer Vektorspezies und Krankheitserreger sowie in den veränderten Wirtspräferenzen einheimischer Stechmückenarten zu suchen. Das Wissen um das Vektorpotential der in Deutschland heimischen Stechmücken konnte vor allem durch die seit 2009 initiierten Monitoring-Programme stetig erweitert werden. Auch die Veränderung der heimischen Fauna durch invasive Arten wie Ochlerotatus japonicus japonicus oder Aedes albopictus wird intensiv erforscht. Dennoch ist hinsichtlich der Biologie, Ökologie sowie Genetik vieler Arten noch immer wenig bekannt.
Die vorliegende Dissertation, welche auf Basis von vier (ISI-) Einzelpublikationen kumulativ angefertigt wurde, beschäftigte sich mit der Analyse der genetischen Variabilität sowie der Zoogeographie der untersuchten Arten und der Etablierung einer schnellen und kostengünstigen Methode zur Artdiagnostik. Besonderes Augenmerk wurde bei den Analysen auf die beiden heimischen Arten Culex pipiens und Culex torrentium sowie die invasive Art Ochlerotatus japonicus japonicus gelegt. Ziel war es, die noch bestehenden Wissenslücken zu füllen, um zukünftige Monitoring-Programme besser koordinieren sowie Analysen zur Vektorkompetenz und Genetik dieser Arten gezielter durchführen zu können.
Es konnte gezeigt werden, dass Cx. pipiens und Cx. torrentium deutliche Unterschiede in ihren Populationsstrukturen aufwiesen welche auf verschiedene evolutive Prozesse hindeuten. Die geringere genetische Variabilität in Cx. pipiens lässt auf positive Selektion durch z.B. Insektizidresistenz im Zuge durchgeführter Bekämpfungsmaßnahmen oder die Infektion mit Wolbachien schließen. Die analysierte Populationsstruktur von Cx. torrentium spricht hingegen für eine geringe Ausbreitung, wodurch der genetische Austausch reduziert wurde und so die untersuchten Populationen genetisch stärker voneinander abwichen. Des Weiteren ließen die Analysen des Cytochrom c Oxidase Untereinheit 1-Fragmentes (cox1) Rückschlüsse auf die Zoogeographie dieser Arten in Deutschland zu - wobei beide Arten über das Untersuchungsgebiet verteilt waren, Cx. torrentium jedoch in den neuen Bundesländern weniger häufig nachgewiesen wurde als in den alten und eine geringere gefangene Individuenzahl aufwies. Basierend auf der ökologischen Nischenmodellierung konnten potentiell neue Verbreitungsgebiete für die Art Ochlerotatus japonicus japonicus identifiziert werden. Als klimatisch besonders günstig zeigten sich dabei Südhessen, das Saarland sowie nördliche Teile Nordrhein-Westfalens. Mit Hilfe der etablierten Methode der direct-PCR wird in Zukunft eine schnellere und kostengünstigere Identifizierung von Stechmücken erfolgen können, welche aufgrund bestimmungsrelevanter Merkmale nicht mehr morphologisch zu identifizieren sind.
Um das Wissen über die Stechmücken in Deutschland fortlaufend zu intensivieren, ist sowohl das Weiterführen der Monitoring-Programme als auch die molekularbiologische Aufarbeitung der Proben nötig. Durch die Anwendung neuer Techniken und weiterer molekularer Marker wird es möglich sein, weitere Krankheitserreger sowie genetische Besonderheiten der heimischen Stechmückenfauna nachzuweisen. Aber auch die Überwachung invasiver Stechmückenarten durch die Modellierung potentieller Verbreitungsgebiete und die Anwendung molekularbiologischer Analysemethoden zum Detektieren der Arten und möglicher Krankheitserreger wird ein wichtiger Bestandteil der weiteren Forschung sein.
Termites are important ecosystem engineers of the savanna biome, with the large mounds of fungus-cultivating termites being sources of habitat heterogeneity and structural complexity in African savanna landscapes. Studies from different localities throughout Africa have shown that termite mounds have a strong influence of diversity and composition of plant communities. However, most research has been conducted only at the local scale, and integrating knowledge across Africa is hampered by different methodology of studies and differing environmental context. Little is known about the variation in vegetation composition on termite mounds compared to the surrounding savanna at the regional scale and at the landscape scale, and the main determinants of plant communities on mounds are yet to be ascertained.
This thesis aimes at better understanding the influence of termite mounds on vegetation compared to the surrounding savanna across spatial scales. Three research projects analyse vegetation data and soil data from paired mound and savanna plots in West Africa. The first project examines the influence of termite-induced heterogeneity on plant diversity and vegetation composition at a regional scale, following a bioclimatic gradient from the Sahel of Burkina Faso to the Sudanian vegetation zone in North Benin. The second Project analysed variation of vegetation on and off mounds at the landscape scale in Pendjari National Park, North Benin. The third is a monitoring study over the course of two years, exploring dynamics of juvenile woody plant communities on mounds and in the surrounding savanna at a local scale. The thesis thus provides the first comparative quantitative analysis across scales of mound and savanna vegetation and the drivers of the mound–savanna difference in vegetation.
Synthesizing across scales, its results confirm that termite mounds strongly contribute to savanna plant diversity, even though mounds are not generally more species rich than the surrounding savanna. Variation in mound vegetation is much higher along climatic and soil gradients than previously acknowledged. Mound vegetation differs from the surrounding savanna in the whole study area and in each sampled savanna type, with the strongest differences occurring at the most humid study sites. A large proportion of the differences between mound and savanna vegetation is explained by clay enrichment and related soil factors, such as cation concentrations. Plants on mounds thus benefit from favourable soil conditions, including higher fertility and higher water availability, which is also mirrored by the higher abundance and basal area of juvenile woody plants found on mounds. The variation in mound vegetation between study sites across scales results in part from local differences in soil composition and from climatic differences that influence the regional distribution of species. Different sets of characteristic mound species are identified in each project. Specific plant families and traits like succulency, lianescence, and adaptations to zoochory are found to be overrepresented in mound communities.
In addition to the findings in this thesis, remaining parts of the variation in mound vegetation between study sites could likely be explained by investigating further factors. Specifically, mound vegetation depends on habitat context, which includes available species pools, spatial distribution of mounds, biotic interactions with dispersers and herbivores, fire, and also anthropogenic influence. The high proportion of species with adaptations to zoochory found on mounds, for example, indicates that animal dispersers should be of particular importance for vegetation on termite mounds. Herbivory and fire regime, which are known to contribute to the diversity and community composition of the mound–savanna system, also show strong local variation, not least because of anthropogenic influence.
In conclusion, termite mounds play a crucial role in maintaining heterogeneity and plant diversity in the savanna across scales. Ecosystem services provided by termites, especially considering long-term effects on soil fertility and ecosystem resilience, are most likely undervalued. Mounds should be considered in management plans from local to regional, transnational scales as a matter of course, accompanied by further research on the role of termite mounds in savanna ecology on a longer temporal scale. The research presented here thus provides a basis for future studies on termite mound vegetation that should specifically consider the biotic and abiotic context of the mound–savanna system.
Even though the microevolution of plant hosts and pathogens has been intensely studied, knowledge regarding macro-evolutionary patterns is limited. Having the highest species diversity and host-specificity among Oomycetes, downy mildews are a useful a model for investigating long-term host-pathogen coevolution. We show that phylogenies of Bremia and Asteraceae are significantly congruent. The accepted hypothesis is that pathogens have diverged contemporarily with their hosts. But maximum clade age estimation and sequence divergence comparison reveal that congruence is not due to long-term coevolution but rather due to host-shift driven speciation (pseudo-cospeciation). This pattern results from parasite radiation in related hosts, long after radiation and speciation of the hosts. As large host shifts free pathogens from hosts with effector triggered immunity subsequent radiation and diversification in related hosts with similar innate immunity may follow, resulting in a pattern mimicking true co-divergence, which is probably limited to the terminal nodes in many pathogen groups.
"Stellen Sie sich vor, wir könnten einzelne Zellen mit einer Art Fernbedienung von außen steuern", träumt Ralph Wieneke, Juniorgruppenleiter in der Zellulären Biochemie. Licht als Steuerungsquelle habe entscheidende Vorteile, schildert Institutsleiter Robert Tampé: "Es schadet Zellen nicht und kann schnell und sehr genau reguliert werden." Von ihrem Ziel ist die Arbeitsgruppe gar nicht so weit entfernt.
Um das komplizierte Geschehen in der Zelle entschlüsseln zu können, blockieren Forscher oft bestimmte Proteine oder Gene. Eine moderne und elegante Methode besteht darin, Lichtaktivierbare Moleküle als "Schalter" zu verwenden. Die Gruppe von Alexander Heckel entwickelt maßgeschneiderte Moleküle für Biologen, Biochemiker oder Mediziner.
In recent years, there have been prominent calls for a new social contract that accords a more central role to citizens in health research. Typically, this has been understood as citizens and patients having a greater voice and role within the standard research enterprise. Beyond this, however, it is important that the renegotiated contract specifically addresses the oversight of a new, path-breaking approach to health research: participant-led research. In light of the momentum behind participant-led research and its potential to advance health knowledge by challenging and complementing traditional research, it is vital for all stakeholders to work together in securing the conditions that will enable it to flourish.
Ceraceosorus bombacis is an early-diverging lineage of smut fungi and a pathogen of cotton trees (Bombax ceiba). To study the evolutionary genomics of smut fungi in comparison with other fungal and oomycete pathogens, the genome of C. bombacis was sequenced and comparative genomic analyses were performed. The genome of 26.09 Mb encodes for 8,024 proteins, of which 576 are putative-secreted effector proteins (PSEPs). Orthology analysis revealed 30 ortholog PSEPs among six Ustilaginomycotina genomes, the largest groups of which are lytic enzymes, such as aspartic peptidase and glycoside hydrolase. Positive selection analyses revealed the highest percentage of positively selected PSEPs in C. bombacis compared with other Ustilaginomycotina genomes. Metabolic pathway analyses revealed the absence of genes encoding for nitrite and nitrate reductase in the genome of the human skin pathogen Malassezia globosa, but these enzymes are present in the sequenced plant pathogens in smut fungi. Interestingly, these genes are also absent in cultivable oomycete animal pathogens, while nitrate reductase has been lost in cultivable oomycete plant pathogens. Similar patterns were also observed for obligate biotrophic and hemi-biotrophic fungal and oomycete pathogens. Furthermore, it was found that both fungal and oomycete animal pathogen genomes are lacking cutinases and pectinesterases. Overall, these findings highlight the parallel evolution of certain genomic traits, revealing potential common evolutionary trajectories among fungal and oomycete pathogens, shaping the pathogen genomes according to their lifestyle.
Background: Due to the large amount of data produced by advanced microscopy, automated image analysis is crucial in modern biology. Most applications require reliable cell nuclei segmentation. However, in many biological specimens cell nuclei are densely packed and appear to touch one another in the images. Therefore, a major difficulty of three-dimensional cell nuclei segmentation is the decomposition of cell nuclei that apparently touch each other. Current methods are highly adapted to a certain biological specimen or a specific microscope. They do not ensure similarly accurate segmentation performance, i.e. their robustness for different datasets is not guaranteed. Hence, these methods require elaborate adjustments to each dataset.
Results: We present an advanced three-dimensional cell nuclei segmentation algorithm that is accurate and robust. Our approach combines local adaptive pre-processing with decomposition based on Lines-of-Sight (LoS) to separate apparently touching cell nuclei into approximately convex parts. We demonstrate the superior performance of our algorithm using data from different specimens recorded with different microscopes. The three-dimensional images were recorded with confocal and light sheet-based fluorescence microscopes. The specimens are an early mouse embryo and two different cellular spheroids. We compared the segmentation accuracy of our algorithm with ground truth data for the test images and results from state-of-the-art methods. The analysis shows that our method is accurate throughout all test datasets (mean F-measure: 91%) whereas the other methods each failed for at least one dataset (F-measure≤69%). Furthermore, nuclei volume measurements are improved for LoS decomposition. The state-of-the-art methods required laborious adjustments of parameter values to achieve these results. Our LoS algorithm did not require parameter value adjustments. The accurate performance was achieved with one fixed set of parameter values.
Conclusion: We developed a novel and fully automated three-dimensional cell nuclei segmentation method incorporating LoS decomposition. LoS are easily accessible features that ensure correct splitting of apparently touching cell nuclei independent of their shape, size or intensity. Our method showed superior performance compared to state-of-the-art methods, performing accurately for a variety of test images. Hence, our LoS approach can be readily applied to quantitative evaluation in drug testing, developmental and cell biology.
Mitochondrial respiratory supercomplexes (mtRSCs) are stoichiometric assemblies of electron transport chain (ETC) complexes in the inner mitochondrial membrane. They are hypothesized to regulate electron flow, the generation of reactive oxygen species (ROS) and to stabilize ETC complexes. Using the fungal ageing model Podospora anserina, we investigated the impact of homologues of the Saccharomyces cerevisiae respiratory supercomplex factors 1 and 2 (termed PaRCF1 and PaRCF2) on mtRSC formation, fitness and lifespan. Whereas PaRCF2’s role seems negligible, ablation of PaRCF1 alters size of monomeric complex IV, reduces the abundance of complex IV-containing supercomplexes, negatively affects vital functions and shortens lifespan. PaRcf1 overexpression slightly prolongs lifespan, though without appreciably influencing ETC organization. Overall, our results identify PaRCF1 as necessary yet not sufficient for mtRSC formation and demonstrate that PaRCF1-dependent stability of complex IV and associated supercomplexes is highly relevant for maintenance of the healthy lifespan in a eukaryotic model organism.
Photosynthese zwischen Überfluss und Mangel : wie Kieselalgen sich Lichtintensitäten anpassen
(2015)
Kieselalgen können auf hocheffiziente Weise Energie aus dem Sonnenlicht gewinnen. So überleben sie selbst lange Dunkelphasen im Meer. Doch wie schützen sie sich vor zu viel Strahlung, wenn Wind und Strömung sie in seichtes Wasser oder an die Oberfläche treiben? Dahinter steckt ein cleverer Regulations-Mechanismus.
An individual's choices are shaped by its experience, a fundamental property of behavior important to understanding complex processes. Learning and memory are observed across many taxa and can drive behaviors, including foraging behavior. To explore the conditions under which memory provides an advantage, we present a continuous-space, continuous-time model of animal movement that incorporates learning and memory. Using simulation models, we evaluate the benefit memory provides across several types of landscapes with variable-quality resources and compare the memory model within a nested hierarchy of simpler models (behavioral switching and random walk). We find that memory almost always leads to improved foraging success, but that this effect is most marked in landscapes containing sparse, contiguous patches of high-value resources that regenerate relatively fast and are located in an otherwise devoid landscape. In these cases, there is a large payoff for finding a resource patch, due to size, value, or locational difficulty. While memory-informed search is difficult to differentiate from other factors using solely movement data, our results suggest that disproportionate spatial use of higher value areas, higher consumption rates, and consumption variability all point to memory influencing the movement direction of animals in certain ecosystems.
The mammalian family of bears (Ursidae) comprises eight extant species, occurring on four different continents. Among them are the iconic and well-known brown and polar bears, both widely distributed across the Northern hemisphere. Their intraspecific genetic structuring has been extensively investigated, albeit with a focus on genetic markers from maternally inherited parts of their genomes (mitochondrial DNA). The evolutionary relationship and divergence time between brown and polar bears have recently triggered an extensive debate, while less focus has been put on to other parts of the ursid phylogeny, particularly to a clade of three Asian bear species. To date, whole genomes of more than 100 bear individuals from four different species have been sequenced. Yet, one fundamental part of the genome has been largely omitted from specific analyses, in bears as well as in most other mammals: the Y chromosome.
The mammalian Y chromosome provides a unique perspective on the evolutionary history of organisms due to its distinct features, and specifically reflects the patriline because of its male-specific inheritance. The characteristics of this chromosome make it well suited to complement and contrast evolutionary inferences based on other genetic markers, and to uncover processes like sex-biased gene flow and hybridization. The unique insights that can be gained from analyses of Y-linked genetic variation made me utilize this part of the genome to investigate the evolution of male lineages in bears. Studying the patriline is particularly promising in this taxonomic group because of male-biased dispersal and a complex and fast radiation of bears. The analysis of Y-chromosomal genetic markers is thus the common theme of this dissertation: I present the identification of large amounts of Y-chromosomal sequence, the development of male-specific markers from such sequences, and the application of these markers to trace the evolution of male lineages of different bear species.
Specifically, I developed a molecular sex determination system based on the detection of two Y-linked fragments that allows to reliably discriminate between females and males from seven different bear species (Bidon et al. 2013). The approach is highly sensitive, bear-specific, and can be applied in standard molecular laboratories. This makes it valuable in conservation genetics and forensic applications, e.g. to analyze non-invasively collected samples.
Furthermore, I used Y-linked markers in a comprehensive and range-wide sample of brown and polar bears, and show that male-biased gene flow plays an important role in distributing genetic material throughout the ranges of both species (Bidon et al. 2014). In brown bears, I detected a lack of paternal population structuring which is in strong contrast to the detailed structuring of the matriline.
Analyzing Y-chromosomal sequences from all eight bear species, I present a phylogeny of the patriline that largely resembles the topology from other nuclear markers but is different from the topology of the mitochondrial gene tree (Kutschera et al. 2014). This discordance among loci generates interesting hypotheses about inter-species gene flow, particularly among American and Asiatic black bears.
With the identification of almost two million basepairs of Y-chromosomal sequence and the analysis of an unprecedented large male-specific dataset in polar bears, a high-resolution view on the distribution of their intraspecific variation was obtained (Bidon et al. 2015). In particular, two clades that are divergent but do not show pronounced phylogeographic structure were detected, confirming the great dispersal capacity of males of this high arctic species.
This dissertation thus represents a comprehensive investigation of Y-linked genetic variation on the intra- and interspecific level in a non-model organism. With my research, I contribute to an increased understanding of the complex evolutionary history of bears. In particular, I show that male-biased gene flow strongly influences the distribution of nuclear genetic variation, and that the contrast between phylogenies of differentially inherited markers can help to understand interspecific hybridization between closely related species. Moreover, my findings demonstrate the potential of Y-chromosomal markers to uncover unknown evolutionary patterns and processes. This applies not only to bears but to many species, even such that are generally well known and well described.
Network graphs have become a popular tool to represent complex systems composed of many interacting subunits; especially in neuroscience, network graphs are increasingly used to represent and analyze functional interactions between multiple neural sources. Interactions are often reconstructed using pairwise bivariate analyses, overlooking the multivariate nature of interactions: it is neglected that investigating the effect of one source on a target necessitates to take all other sources as potential nuisance variables into account; also combinations of sources may act jointly on a given target. Bivariate analyses produce networks that may contain spurious interactions, which reduce the interpretability of the network and its graph metrics. A truly multivariate reconstruction, however, is computationally intractable because of the combinatorial explosion in the number of potential interactions. Thus, we have to resort to approximative methods to handle the intractability of multivariate interaction reconstruction, and thereby enable the use of networks in neuroscience. Here, we suggest such an approximative approach in the form of an algorithm that extends fast bivariate interaction reconstruction by identifying potentially spurious interactions post-hoc: the algorithm uses interaction delays reconstructed for directed bivariate interactions to tag potentially spurious edges on the basis of their timing signatures in the context of the surrounding network. Such tagged interactions may then be pruned, which produces a statistically conservative network approximation that is guaranteed to contain non-spurious interactions only. We describe the algorithm and present a reference implementation in MATLAB to test the algorithm’s performance on simulated networks as well as networks derived from magnetoencephalographic data. We discuss the algorithm in relation to other approximative multivariate methods and highlight suitable application scenarios. Our approach is a tractable and data-efficient way of reconstructing approximative networks of multivariate interactions. It is preferable if available data are limited or if fully multivariate approaches are computationally infeasible.