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In dieser Arbeit wurden zwei Techniken zur Analyse der Funktion diverser Neuronen in Drosophila melanogaster angewendet. Im ersten Teil wurde mittels in-vivo Calcium Imaging Technik unter Verwendung des Calciumsensors Cameleon neuronale Aktivität entlang des olfaktorischen Signalweges registriert. Hierbei wurde die neuronale Repräsentation der Duftidentität und der Duftintensität untersucht. In Bezug auf diese Fragestellung wurde die Datenverarbeitung und Datenanalyse weiterentwickelt und standardisiert. Die Experimente führten zu dem Ergebnis, dass duftspezifische Aktivitätsmuster auf der Ebene des Antennallobus sehr gut unterscheidbar sind. Manche Aktivitätsmuster der präsentierten Düfte zeigten interessanterweise einen hohen Ähnlichkeitsgrad, wohingegen andere unähnlich waren. In höheren Gehirnzentren wie den Orten der terminalen Aborisationen der Projektionsneurone oder den Pilzkörper Kenyonzellen liegt eine starke Variabilität der duftevozierten Aktivitätsmuster vor, was generelle Interpretationen unmöglich macht und höchstens Vergleiche innerhalb eines Individuums zulässt. Des Weiteren konnte gezeigt werden, dass die Calciumsignale in den Rezeptorneuronen sowie prä- und postsynaptisch in den Projektionsneuronen bei Erhöhung der Konzentration der verschiedenen präsentierten Düfte über einen Bereich von mindestens drei Größenordnungen ansteigen. In den Kenyonzellen des Pilzkörper-Calyx und der Pilzkörper-Loben ist diese Konzentrationsabhängigkeit weniger deutlich ausgeprägt und im Falle der Loben nur für bestimmte Düfte detektierbar. Eine Bestätigung des postulierten „sparsed code“ der Duftpräsentation in den Pilzkörpern konnte in dieser Arbeit nicht erbracht werden, was möglicherweise daran liegt, dass eine Einzelzellauflösung mit der verwendeten Technik nicht erreicht werden kann. Im zweiten Teil dieser Arbeit sollte durch die Nutzung des lichtabhängigen Kationenkanals Channelrhodopsin-2 der Frage nachgegangen werden, ob bestimmte modulatorische Neurone die verstärkenden Eigenschaften eines bestrafenden oder belohnenden Stimulus vermitteln. Die lichtinduzierte Aktivierung von Channelrhodopsin-2 exprimierenden dopaminergen Neuronen als Ersatz für einen aversiven Reiz führte bei einer olfaktorischen Konditionierung bei Larven zur Bildung eines aversiven assoziativen Gedächtnisses. Im Gegensatz dazu induzierte die Aktivierung von Channelrhodopsin-2 in oktopaminergen/tyraminergen Neuronen als Ersatz für einen appetitiven Reiz ein appetitives assoziatives Gedächtnis. Diese Ergebnisse zeigen, dass dopaminerge Neurone bei Larven aversives Duftlernen, oktopaminerge/tyraminerge Neurone dagegen appetitives Duftlernen induzieren.
Im ersten Teil der vorliegenden Arbeit wurde der monoklonale Antikörper IV´D4 biochemisch charakterisiert und die zelluläre Verteilung des Antigens mittels Immunfluoreszenz-Mikroskopie untersucht. Durch elektronenmikroskopische Lokalisierungsexperimente wurde gezeigt, dass es sich dabei um Nuage handelt. Obwohl der Antikörper eine oozytenspezifische Struktur markierte, färbte er in der Immunfluoreszenz überraschenderweise auch somatische Xenopus Kulturzellen (A6 und XTC) an. Als nächstes wurde das Antigen von IV´D4 und damit eine neue Proteinkomponente der Nuage identifiziert. Durch Immunblots von prävitellogenen Oozyten und Expression rekombinanter Proteine wurde festgestellt, dass der Antikörper das Protein 42Sp50 erkennt. Es war nicht auszuschließen, dass die Nuage lediglich die somatischen EF1A-Isoformen akkumulieren. Tatsächlich werden alle drei EF1A-Isoformen in Oozyten exprimiert, wie RT-PCR-Experimente belegten. Die ubiquitäre Expression und hohe Sequenzverwandtschaft der beiden traditionellen Xenopus EF1A-Isoformen mit denen der Säuger veranlassten uns, die Nomenklatur anzugleichen (Xenopus EF1A-1 für EF1A-S und EF1A-2 für EF1A-O). Durch Mikroinjektion entsprechender mRNAs wurden Fluoreszenz-EF1A Fusionsproteine (gekoppelt an EGFP, monomeres DsRed oder monomeres RFP) in lebenden Oozyten exprimiert und lokalisiert. Neben 42Sp50 wurde auch die zweite Proteinkomponente der 42S Partikel, 42Sp43, in Form von fluoreszierenden Fusionsproteinen in Oozyten exprimiert und lokalisiert. In einem weiteren Teil der Arbeit wurde die Dynamik der Nuage untersucht. Dazu wurden Versuche mit verschiedenen Inhibitoren durchgeführt. Es sollte überprüft werden, ob die Hemmung unterschiedlicher zellulärer Prozesse Einfluss auf die strukturelle Organisation der Nuage hat. Zu Beginn der Arbeit lagen keine Kenntnisse darüber vor, in welchem Zellkompartiment das Assembly der 42S RNPs stattfindet. Zunächst wurden deshalb die beiden Proteine 42Sp50 und 42Sp43 als fluoreszierende Fusionsproteine in prävitellogenen Ooyzten koexprimiert. Ein eindeutiger Nachweis der spezifischen Interaktion zwischen 42Sp43 und 42Sp50 gelang insbesondere durch die transiente Expression der entsprechenden fluoreszenzmarkierten Proteinpaare in somatischen Kulturzellen (Xenopus A6 und Säuger COS-7 Zellen). Die hier beschriebene Koexpression von Proteinpaaren mit unterschiedlichen Fluoreszenzfarbstoffen in Säugerzellen stellt eine einfache Methode dar, um in vivo Interaktionen mikroskopisch sichtbar zu machen. Damit sollte es möglich sein, durch gezielte Mutationen und Deletionen von 42Sp50 und 42Sp43 diejenigen Aminosäuren und strukturellen Determinanten zu identifzieren, die bei der spezifischen Interaktion und damit beim Assembly der 42S Partikel eine Rolle spielen.
Genome sequence analysis A combination of genome analysis application has been established here during this project. This offers an efficient platform to interactively compare similar genome regions and reveal loci differences. The genes and operons can be rapidly analyzed and local collinear blocks (LCBs) categorized according to their function. The features of interests are parsed, recognized, and clustered into reports. Phylogenetic relationships can be readily examined such as the evolution of critical factors or a certain highly-conserved region. The resulting platform-independent software packages (GENOVA and inGeno), have been proven to be efficient and easy to handle in a number of projects. The capabilities of the software allowed the investigation of virulence factors, e.g., rsbU, strains’ biological design, and in particular pathogenicity feature storage and management. We have successfully investigated the genomes of Staphylococcus aureus strains (COL, N315, 8325, RN1HG, Newman), Listeria spp. (welshimeri, innocua and monocytogenes), E.coli strains (O157:H7 and MG1655) and Vaccinia strains (WR, Copenhagen, Lister, LIVP, GLV-1h68 and parental strains). Metabolic network analysis Our YANAsquare package offers a workbench to rapidly establish the metabolic network of such as Staphylococcous aureus bacteria in genome-scale size as well as metabolic networks of interest such as the murine phagosome lipid signalling network. YANAsquare recruits reactions from online databases using an integrated KEGG browser. This reduces the efforts in building large metabolic networks. The involved calculation routines (METATOOL-derived wrapper or native Java implementation) readily obtain all possible flux modes (EM/EP) for metabolite fluxes within the network. Advanced layout algorithms visualize the topological structure of the network. In addition, the generated structure can be dynamically modified in the graphic interface. The generated network as well as the manipulated layout can be validated and stored (XML file: scheme of SBML level-2). This format can be further parsed and analyzed by other systems biology software, such as CellDesigner. Moreover, the integrated robustness-evaluation routine is able to examine the synthesis rates affected by each single mutation throughout the whole network. We have successfully applied the method to simulate single and multiple gene knockouts, and the affected fluxes are comprehensively revealed. Recently we applied the method to proteomic data and extra-cellular metabolite data of Staphylococci, the physiological changes regarding the flux distribution are studied. Calculations at different time points, including different conditions such as hypoxia or stress, show a good fit to experimental data. Moreover, using the proteomic data (enzyme amounts) calculated from 2D-Gel-EP experiments our study provides a way to compare the fluxome and the enzyme expression. Oncolytic vaccinia virus (VACV) We investigated the genetic differences between the de novo sequence of the recombinant oncolytic GLV-1h68 and other related VACVs, including function predictions for all found genome differences. Our phylogenetic analysis indicates that GLV-1h68 is closest to Lister strains but has lost several ORFs present in its parental LIVP strain, including genes encoding CrmE and a viral Golgi anti-apoptotic protein, v-GAAP. Functions of viral genes were either strain-specific, tissue-specific or host-specific comparing viral genes in the Lister, WR and COP strains. This helps to rationally design more optimized oncolytic virus strains to benefit cancer therapy in human patients. Identified differences from the comparison in open reading frames (ORFs) include genes for host-range selection, virulence and immune modulation proteins, e.g. ankyrin-like proteins, serine proteinase inhibitor SPI-2/CrmA, tumor necrosis factor (TNF) receptor homolog CrmC, semaphorin-like and interleukin-1 receptor homolog proteins. The contribution of foreign gene expression cassettes in the therapeutic and oncolytic virus GLV-1h68 was studied, including the F14.5L, J2R and A56R loci. The contribution of F14.5L inactivation to the reduced virulence is demonstrated by comparing the virulence data of GLV-1h68 with its F14.5L-null and revertant viruses. The comparison suggests that insertion of a foreign gene expression cassette in a nonessential locus in the viral genome is a practical way to attenuate VACVs, especially if the nonessential locus itself contains a virulence gene. This reduces the virulence of the virus without compromising too much the replication competency of the virus, the key to its oncolytic activity. The reduced pathogenicity of GLV-1h68 was confirmed by our experimental collaboration partners in male mice bearing C6 rat glioma and in immunocompetent mice bearing B16-F10 murine melanoma. In conclusion, bioinformatics and experimental data show that GLV-1h68 is a promising engineered VACV variant for anticancer therapy with tumor-specific replication, reduced pathogenicity and benign tissue tropism.
Like many other social insect societies, honeybees collectively share the resources they gather by feeding each other. These feeding contacts, known as trophallaxis, are regarded as the fundamental basis for social behavior in honeybees and other social insects for assuring the survival of the individual and the welfare of the group. In honeybees, where most of the trophallactic contacts are formed in the total darkness of the hive, the antennae play a decisive role in initiation and maintenance of the feeding contact, because they are sensitive to gustatory stimuli. The sequences of behaviors performed by the receiver bees at the beginning of a feeding contact includes the contact of one antenna with the mouthparts of a donor bee where the regurgitated food is located. The antennal motor action is characterized by behavioral asymmetry, which is novel among communicative motor actions in invertebrates. This preference of right over left antenna is without exception even after removal of the antennal flagellum. This case of laterality in basic social interaction might have its reason in the gustatory asymmetry in the antennae, because the right antenna turns out to be significantly more sensitive to stimulation with sugar water of various concentrations than the left one. Trophallactic contacts which guarantee a constant access to food for every individual in the hive are vitally important to the honeybee society, because honeybees are heterothermic insects which actively regulate their thoracic temperature. Even though the individual can regulate its body temperature, its heating performance is strictly limited by the amount of sugar ingested. The reason for this is that honeybees use mostly the glucose in their hemolymph as the energy substrate for muscular activity, and the heat producing flight muscles are among the metabolically most active tissues known. The fuel for their activity is honey; processed nectar with a sugar content of ~80% stored in the honeycomb. The results show that the sugar content of the ingested food correlates positively with the thoracic temperature of the honeybees even if they are caged and show no actual heating-related behavior as in brood warming or heating in the centre of the winter cluster. Honeybees actively regulate their brood temperature by heating to keep the temperature between 33 °C to 36 °C if ambient temperatures are lower. Heating rapidly depletes the worker’s internal energy; therefore the heating performance is limited by the honey that is ingested before the heating process. This study focused on the behavior and the thoracic temperature of the participants in trophallactic food exchanges on the brood comb. The brood area is the centre of heating activity in the hive, and therefore the region of highest energy demand. The results show that the recipients in a trophallactic food exchange have a higher thoracic temperature during feeding contacts than donors, and after the feeding contact the former engage in brood heating more often. The donor bees have lower thoracic temperature and shuttle constantly between honey stores and the brood comb, where they transfer the stored honey to heating bees. In addition, the results show a heat-triggered mechanism that enables donor and recipient to accomplish trophallactic contacts without delay in the total darkness of the hive in the brood area as the most energy consuming part of the hive. Providing heat-emitting workers with small doses of high performance fuel contributes to an economic distribution of resources consistent with the physiological conditions of the bees and the ecological requirements of the hive, resulting in a highly economical resource management system which might be one of the factors favouring the evolution of perennial bee colonies in temperate regions. The conclusion of these findings suggests a resource management strategy that has evolved from submissive placation behavior as it is seen in honeybees, bumblebees and other hymenopterans. The heat-triggered feedback mechanism behind the resource management of the honeybee´s thermoregulatory behavior reveals a new aspect of the division of labor and a new aspect of communication, and sheds new light on sociality in honeybees.
The olfactory system of leafcutting ants: neuroanatomy and the correlation to social organization
(2009)
In leaf-cutting ants (genera Atta and Acromyrmex), the worker caste exhibits a pronounced size-polymorphism, and division of labor is largely dependent on worker size (alloethism). Behavioral studies have shown a rich diversity of olfactory-guided behaviors, and the olfactory system seems to be highly developed and very sensitive. To allow fine-tuned behavioral responses to different tasks, adaptations within the olfactory system of different sized workers are expected. In a recent study, two different phenotypes of the antennal lobe of Atta vollenweideri workers were found: MG- and RG-phenotype (with and without a macroglomerulus, MG). The existence of the macroglomerulus is correlated to the body size of workers, with small workers showing the RG-phenotype and large workers showing the MG-phenotype. In the MG, the information about the releaser component of the trail-pheromone is processed. In the first part of my PhD-project, I focus on quantifying behavioral differences between different sized workers in Atta vollenweideri. The study analyzes the trail following behavior; which can be generally performed by all workers. An artificial trail consisting of the releaser component of the trail-pheromone in decreasing concentration was used to test the trail-following performance of individual workers. The trail-following performance of the polymorphic workers is depended of the existence of the MG in the antennal lobe. Workers possessing the MG-phenotype were significantly better in following a decreasing trail then workers showing the RG-phenotype. In the second part I address the question if there are more structural differences, besides the MG, in the olfactory system of different sized workers. Therefore I analyze whether the glomerular numbers are related to worker size. The antennal lobes of small workers contain ~390 glomeruli (low-number; LN-phenotype), and in large workers I found a substantially higher number of ~440 glomeruli (high-number; HN-phenotype). All LN-phenotype workers and some of the small HN-phenotype workers do not possess an MG (LN-RG-phenotype and HN-RG-phenotype) at all, whereas the remaining majority of HN-phenotype workers do possess an MG (HN-MG-phenotype). Mass-stainings of antennal olfactory receptor neurons revealed that the sensory tracts divide the antennal lobe into six clusters of glomeruli (T1-T6). In the T4-cluster ~50 glomeruli are missing in the LN-phenotype workers. Selective staining of single sensilla and their associated receptor neurons showed that T4-glomeruli are innervated by receptor neurons from the main type of olfactory sensilla, the Sensilla trichodea curvata which are also projecting to glomeruli in all other clusters. The other type of olfactory sensilla, the Sensilla basiconica, exclusively innervates T6-glomeruli. Quantitative analyses revealed a correlation between the number of Sensilla basiconica and the volume of T6 glomeruli in different sized workers. The results of both behavioral and neuroanatomical studies in Atta vollenweideri suggest that developmental plasticity of antennal-lobe phenotypes promotes differences in olfactory-guided behavior which may underlie task specialization within ant colonies. The last part of my project focuses on the evolutionary origin of the macroglomerulus and the number of glomeruli in the antennal lobe. I compared the number, volumes and position of the glomeruli of the antennal lobe of 25 different species from all three major Attini groups (lower, higher and leaf-cutting Attini). The antennal lobes of all investigated Attini comprise a high number of glomeruli (257-630). The highest number was found in Apterostigma cf. mayri. This species is at a basal position within the Attini phylogeny, and a high number of glomeruli might have been advantageous in the evolution of the advanced olfactory systems of this Taxa. The macroglomerulus can be found in all investigated leaf-cutting Attini, but in none of the lower and higher Attini species. It is found only in large workers, and is located close to the entrance of the antennal nerve in all investigated species. The results indicate that the presence of a macroglomerulus in large workers of leaf-cutting Attini is a derived overexpression of a trait in the polymorphic leaf-cutting species. It presumably represents an olfactory adaptation to elaborate foraging and mass recruitment systems, and adds to the complexity of division of labor and social organization known for this group.
In this work, a behavioural analysis of different mutants of the fruit fly Drosophila melanogaster has been carried out. Primarily, the gap climbing behaviour (Pick & Strauss, 2005) has been assayed as it lends itself for the investigation of decision making processes and the neuronal basis of adaptive behaviour. Furthermore it shows how basic motor actions can be combined into a complex motor behaviour. Thanks to the neurogenetic methods, Drosophila melanogaster has become an ideal study object for neurobiological questions. Two different modules of climbing control have been examined in detail. For the decision making, the mutant climbing sisyphus was analysed. While wild-type flies adapt the initiation of climbing behaviour to the width of the gap and the probability for a successful transition. climbing sisyphus flies initiate climbing behaviour even at clearly insurmountable gap widths. The climbing success itself is not improved in comparison to the wild-type siblings. The mutant climbing sisyphus is a rare example of a hyperactive mutant besides many mutants that show a reduced activity. Basic capabilities in vision have been tested in an optomotor and a distance-estimation paradigm. Since they are not affected, a defect in decision making is most probably the cause of this behavioural aberration. A second module of climbing control is keeping up orientation towards the opposite side of the gap during the execution of climbing behaviour. Mutants with a structural defect in the protocerebral bridge show abnormal climbing behaviour. During the climbing attempt, the longitudinal body axis does not necessarily point into the direction of the opposite side. Instead, many climbing events are initiated at the side edge of the walking block into the void and have no chance to ever succeed. The analysed mutants are not blind. In one of the mutants, tay bridge1 (tay1) a partial rescue attempt used to map the function in the brain succeeded such that the state of the bridge was restored. That way, a visual targeting mechanism has been activated, allowing the flies to target the opposite side. When the visibility of the opposing side was reduced, the rescued flies went back to a tay1 level of directional scatter. The results are in accord with the idea that the bridge is a central constituent of the visual targeting mechanism. The tay1 mutant was also analysed in other behavioural paradigms. A reduction in walking speed and walking activity in this mutant could be rescued by the expression of UAS-tay under the control of the 007Y-GAL4 driver line, which concomitantly restores the structure of the protocerebral bridge. The separation of bridge functions from functions of other parts of the brain of tay1 was accomplished by rescuing the reduced optomotor compensation in tay1 by the mb247-GAL4>UAS-tay driver. While still having a tay1-like protocerebral bridge, mb247-GAL4 rescue flies are able to compensate at wild-type levels. An intact compensation is not depended on the tay expression in the mushroom bodies, as mushroom body ablated flies with a tay1 background and expression of UAS-tay under the control of mb247-GAL4 show wild-type behaviour as well. The most likely substrate for the function are currently unidentified neurons in the fan-shaped body, that can be stained with 007Y-GAL4 and mb247-GAL4 as well.
Synaptonemal Komplexe (SC) sind evolutionär konservierte, meiosespezifische, proteinöse Strukturen, die maßgeblich an Synapsis, Rekombination und Segregation der homologen Chromosomen beteiligt sind. Sie zeigen eine dreigliedrige strickleiter-artige Organisation, die sich aus i) zwei Lateralelementen (LE), an die das Chromatin der Homologen angelagert ist, ii) zahlreichen Transversalfilamenten (TF), welche die LE in einer reißverschlussartigen Weise miteinander verknüpfen, und iii) einem zentralen Element (CE) zusammensetzt. Die Hauptproteinkomponenten der Säuger-SC sind das Transversalfilamentprotein SYCP1 und die Lateralelementproteine SYCP2 und SYCP3. Wie sich die SC-Struktur zusammenfügt war bisher nur wenig verstanden; es war nicht bekannt wie die TF innerhalb der LE-Strukturen verankert sind und dabei die homologen Chromosomen verknüpfen. Aufgrund dessen wurde die Interaktion zwischen den Proteinen SYCP1 und SYCP2 untersucht. Mit der Hilfe verschiedenster Interaktionssysteme konnte gezeigt werden, dass der C-Terminus von SYCP1 mit SYCP2 interagieren kann. Aufgrund der Bindungsfähigkeit zu beiden Proteinen, SYCP1 und SYCP3, kann angenommen werden, dass SYCP2 als Linker zwischen diesen Proteinen fungiert und somit möglicherweise das fehlende Bindungsglied zwischen den Lateralelementen und Transversalfilamenten darstellt. Obwohl die SC-Struktur in der Evolution hochkonserviert ist, schien dies nicht für seine Protein-Untereinheiten zuzutreffen. Um die Struktur und Funktion des SC besser verstehen zu können, wurde ein Vergleich zwischen den orthologen SYCP1 Proteinen der evolutionär entfernten Spezies Ratte und Medaka erstellt. Abgesehen von den erheblichen Sequenzunterschieden die sich in 450 Millionen Jahren der Evolution angehäuft haben, traten zwei bisher nicht identifizierte Sequenzmotive hervor, CM1 und CM2, die hochgradig konserviert sind. Anhand dieser Motive konnte in Datenbankanalysen erstmals ein Protein in Hydra vulgaris nachgewiesen werden, bei dem es sich um das orthologe Protein von SYCP1 handeln könnte. Im Vergleich mit dem SYCP1 der Ratte zeigten die Proteine aus Medaka und Hydra, neben den hoch konservierten CM1 und CM2, vergleichbare Domänenorganisationen und im heterologen System zudem sehr ähnliche Polymerisationseigenschaften. Diese Ergebnisse sprechen für eine evolutionäre Konservierung von SYCP1.
Leonia cymosa (Violaceae) is a small tree from the under story of the Amazonian rain forest. I investigated the seed dispersal ecology of L. cymosa in plots of old growth terra firme forest located within the Cuyabeno Faunistic Reserve in north-eastern Ecuador. This species offered good conditions to examine the variation of traits of individual trees and the way they are linked with fruit removal from each tree. With this study I aimed to address the question whether frugivores exert selection pressures on fruits and the fruiting regime of fleshy fruited plants. The mean height of a fruiting L. cymosa was 6.6 m (range: 2 - 12.6 m). The median tree density was 11.8 trees per hectare. Trees grew in clusters consisting of different numbers of trees of different heights. L. cymosa flowered two times a year, in late February to March and in October. The respective fruiting seasons occurred in August/September and between March and May. The fruit pulp of L. cymosa contained the sugars fructose, glucose, and sucrose, the total soluble sugar being the first important nutritional compound of the fruit pulp. The second important compound was proteins. No lipids were found in the fruit pulp. The variation of nutritional quality of the fruits was high within trees. Nonetheless, significant differences were found among trees in all nutrient constituents studied. The maximum of ripe fruits produced per season by a single tree was 427. Median productivity of the trees was 45 ripe fruits throughout the fruiting season in 1999 (n=57) and 36 ripe fruits in 2000 (n=92). The maximum standing crop of fruits in a tree was 324 fruits (counted in 2000). Black mantle tamarins, Saguinus nigricollis (Callitrichidae), and squirrel monkeys, Saimiri sciureus (Cebidae), and possibly an unknown nocturnal frugivore consumed the fruits of L. cymosa at my study site. Green-rumped acouchis (Myoprocta pratti, Dasyproctidae) consumed fallen fruits and seeds underneath the trees. Black mantle tamarins and squirrel monkeys differed widely in their effectiveness as seed dispersers. Black mantle tamarins swallowed the seeds together with the fruit pulp and defecated intact seeds far away from the mother tree. Squirrel monkeys opened the fruits to suck and gnaw on the fruit pulp, and then dropped seeds to the forest floor below the tree crowns. Each of my study plots fell into the core home range of one group each of S. nigricollis and S. sciureus. Thus, the frugivore assemblage is small and disperser availability is limited for the individual tree of L. cymosa. In a sample of 6 trees of comparable and high fruit crop size, the total of ripe fruits removed from a tree throughout the whole fruiting season by the reliable seed disperser S. nigricollis was neither significantly correlated with the content of any of the nutrients measured in the fruit pulp (fructose, glucose, sucrose, total protein; pulp does not contain lipids), nor with total metabolisable energy, seed to pulp weight ratio, or water content of the fruit pulp. Feeding preferences for single sugars determined by other laboratory studies were not confirmed by this field study. The reliable seed disperser S. nigricollis does not seem to exert selective pressure on the nutrient content of the fruits of L. cymosa. Seasonal fruit crop size was the main predictor of all aspects of fruit removal by the effective disperser of L. cymosa, Saguinus nigricollis, as well as by the non-disperser, Saimiri sciureus. Trees with larger seasonal fruit crop size had a higher probability to have fruits removed by the disperser than those with small seasonal fruit crop sizes. They also had a higher number of fruits removed by the seed disperser. However, the proportion of fruits removed by the disperser decreased with increasing seasonal fruit crop size. In contrast, probability of fruit removal, the number of fruits removed, and the proportion of fruits removed by the non-disperser increased with increasing seasonal fruit crop sizes. The observed differences between disperser and non-disperser are due to differences in feeding capacity, group size and foraging behavior. Tamarins were less likely to harvest Leonia trees that were not or less completely covered by surrounding vegetation. This probably reflects a behavior to avoid predation by forest raptors. At high con-specific fruit abundance in the neighborhood, the proportion of fruits removed by tamarins was reduced. This suggests competition of trees for the disperser. My study revealed selection of the disperser on seasonal fruit crop size of L. cymosa. My results are consistent with the “fruit crop size hypothesis”. FCSH appears to constitute a valid framework also in the monkey-dispersed L. cymosa. My findings also show that factors beyond the tree’s control influenced fruit removal from Leonia trees. Disperser-mediated selection may be constrained (yet not impeded) by neighborhood conditions.
Around 10.000 – 150.000 endogenous DNA damage-induced lesions occur in a human body per day and cell. Accumulation of unrepaired lesions can lead to aneuploidy and the loss of genomic integrity which in turn contributes to tumor formation. Therefore, an efficient DNA damage response has to be initiated, in the end leading to cell cycle inhibition and induction of repair. Since it is known that a recently characterized human multiprotein complex named LINC (or human dREAM) together with B-MYB is involved in the regulation of G2/M gene expression (Plk1, cyclin B1, cdc2 etc.), its function in the DNA damage response was analyzed in this study. In growing cells B-MYB is associated to the LIN core complex which consists of 5 different proteins named LIN-9, LIN-54, LIN-52, LIN-37 and RbAp48. After induction of DNA damage B-MYB leaves the complex and binding of E2F4 and p130 to LINC is induced. Importantly, the upstream pathway leading to LINC rearrangement is dependent on the activation of p53 and p21. Interestingly, p53 -/- cells solely have the potential to block in the G2 phase of the cell cycle, thereby making them vulnerable for errors during G2 arrest induction or maintenance. Here I demonstrate that LINC rearrangement is absent in p53 -/- cells and that B-MYB/LINC binding to target gene promoters is increased. This in turn leads to an increased G2/M gene expression after DNA damage induction and triggers premature cell cycle re-entry (checkpoint adaptation). Significantly, B-MYB expression is increased in p53 mutated primary breast cancer tumors and correlates with poor prognosis and reoccurrence probably due to its function in checkpoint adaptation. This study gives evidence that inhibition of B-MYB gene expression or B-MYB function in p53 mutant tumors could be a good choice for adjuvant therapy.
Recent progresses and developments in molecular biology provide a wealth of new but insufficiently characterised data. This fund comprises amongst others biological data of genomic DNA, protein sequences, 3-dimensional protein structures as well as profiles of gene expression. In the present work, this information is used to develop new methods for the characterisation and classification of organisms and whole groups of organisms as well as to enhance the automated gain and transfer of information. The first two presented approaches (chapters 4 und 5) focus on the medically and scientifically important enterobacteria. Its impact in medicine and molecular biology is founded in versatile mechanisms of infection, their fundamental function as a commensal inhabitant of the intestinal tract and their use as model organisms as they are easy to cultivate. Despite many studies on single pathogroups with clinical distinguishable pathologies, the genotypic factors that contribute to their diversity are still partially unknown. The comprehensive genome comparison described in Chapter 4 was conducted with numerous enterobacterial strains, which cover nearly the whole range of clinically relevant diversity. The genome comparison constitutes the basis of a characterisation of the enterobacterial gene pool, of a reconstruction of evolutionary processes and of comprehensive analysis of specific protein families in enterobacterial subgroups. Correspondence analysis, which is applied for the first time in this context, yields qualitative statements to bacterial subgroups and the respective, exclusively present protein families. Specific protein families were identified for the three major subgroups of enterobacteria namely the genera Yersinia and Salmonella as well as to the group of Shigella and E. coli by applying statistical tests. In conclusion, the genome comparison-based methods provide new starting points to infer specific genotypic traits of bacterial groups from the transfer of functional annotation. Due to the high medical importance of enterobacterial isolates their classification according to pathogenicity has been in focus of many studies. The microarray technology offers a fast, reproducible and standardisable means of bacterial typing and has been proved in bacterial diagnostics, risk assessment and surveillance. The design of the diagnostic microarray of enterobacteria described in chapter 5 is based on the availability of numerous enterobacterial genome sequences. A novel probe selection strategy based on the highly efficient algorithm of string search, which considers both coding and non-coding regions of genomic DNA, enhances pathogroup detection. This principle reduces the risk of incorrect typing due to restrictions to virulence-associated capture probes. Additional capture probes extend the spectrum of applications of the microarray to simultaneous diagnostic or surveillance of antimicrobial resistance. Comprehensive test hybridisations largely confirm the reliability of the selected capture probes and its ability to robustly classify enterobacterial strains according to pathogenicity. Moreover, the tests constitute the basis of the training of a regression model for the classification of pathogroups and hybridised amounts of DNA. The regression model features a continuous learning capacity leading to an enhancement of the prediction accuracy in the process of its application. A fraction of the capture probes represents intergenic DNA and hence confirms the relevance of the underlying strategy. Interestingly, a large part of the capture probes represents poorly annotated genes suggesting the existence of yet unconsidered factors with importance to the formation of respective virulence phenotypes. Another major field of microarray applications is gene expression analysis. The size of gene expression databases rapidly increased in recent years. Although they provide a wealth of expression data, it remains challenging to integrate results from different studies. In chapter 6 the methodology of an unsupervised meta-analysis of genome-wide A. thaliana gene expression data sets is presented, which yields novel insights in function and regulation of genes. The application of kernel-based principal component analysis in combination with hierarchical clustering identified three major groups of contrasts each sharing overlapping expression profiles. Genes associated with two groups are known to play important roles in Indol-3 acetic acid (IAA) mediated plant growth and development as well as in pathogen defence. Yet uncharacterised serine-threonine kinases could be assigned to novel functions in pathogen defence by meta-analysis. In general, hidden interrelation between genes regulated under different conditions could be unravelled by the described approach. HMMs are applied to the functional characterisation of proteins or the detection of genes in genome sequences. Although HMMs are technically mature and widely applied in computational biology, I demonstrate the methodical optimisation with respect to the modelling accuracy on biological data with various distributions of sequence lengths. The subunits of these models, the states, are associated with a certain holding time being the link to length distributions of represented sequences. An adaptation of simple HMM topologies to bell-shaped length distributions described in chapter 7 was achieved by serial chain-linking of single states, while residing in the class of conventional HMMs. The impact of an optimisation of HMM topologies was underlined by performance evaluations with differently adjusted HMM topologies. In summary, a general methodology was introduced to improve the modelling behaviour of HMMs by topological optimisation with maximum likelihood and a fast and easily implementable moment estimator. Chapter 8 describes the application of HMMs to the prediction of interaction sites in protein domains. As previously demonstrated, these sites are not trivial to predict because of varying degree in conservation of their location and type within the domain family. The prediction of interaction sites in protein domains is achieved by a newly defined HMM topology, which incorporates both sequence and structure information. Posterior decoding is applied to the prediction of interaction sites providing additional information of the probability of an interaction for all sequence positions. The implementation of interaction profile HMMs (ipHMMs) is based on the well established profile HMMs and inherits its known efficiency and sensitivity. The large-scale prediction of interaction sites by ipHMMs explained protein dysfunctions caused by mutations that are associated to inheritable diseases like different types of cancer or muscular dystrophy. As already demonstrated by profile HMMs, the ipHMMs are suitable for large-scale applications. Overall, the HMM-based method enhances the prediction quality of interaction sites and improves the understanding of the molecular background of inheritable diseases. With respect to current and future requirements I provide large-scale solutions for the characterisation of biological data in this work. All described methods feature a highly portable character, which allows for the transfer to related topics or organisms, respectively. Special emphasis was put on the knowledge transfer facilitated by a steadily increasing wealth of biological information. The applied and developed statistical methods largely provide learning capacities and hence benefit from the gain of knowledge resulting in increased prediction accuracies and reliability.