Demography in eusocial Hymenoptera

In my doctoral thesis I investigated the evolution of demographic traits within eusocial Hymenoptera. In the social bees, wasps and ants, eusociality has a unique effect on life span evolution as female larvae with the same genetic background can develop through phenotypic plasticity to a queen or a worker with vastly diverging life-history traits. Ant queens belong to the longest-lived insect species, while workers in most species live only a fraction of the queen’s life span. The average colony size of a species is positively correlated with social complexity, division of labor and diverging morphological female phenotypes all of which also affect life span. Therefore the demographic traits of interest in this thesis were life span and colony size. To understand the evolution of worker life span I applied a trade-off model that includes both hierarchical levels important in eusocial systems, namely the colony- and the individual-level. I showed that the evolution of worker life span may be an adaptive trait on the colony level to optimize resource allocation and therefore fitness in response to different levels of extrinsic mortality. A shorter worker life span as a result of reduced resource investments under high levels of extrinsic mortality increases colony fitness. In a further study I showed that Lasius niger colonies produce different aging phenotypes throughout colony development. Smaller colonies which apply a different foraging strategy than larger colonies produced smaller workers, which in turn have a longer life span as compared to larger workers produced in larger colonies. With the switch to cooperative foraging in growing colonies individual workers become less important for the colony caused by their increasing redundancy. Alternatively a trade of between growth and life span may lead to the results found in this study. A further comparative analysis to study the effect of colony size on life span showed a correlation between queen and worker life span when colony size is taken into account. While neither worker nor queen life span was associated with colony size, the differences between queen and worker life span increase with larger average colony sizes across all eusocial Hymenoptera. As colony size affects both queen and worker life span, I aimed to understand which factors lead to the small colony sizes displayed by some ant species. I therefore analyzed per-capita productivity at different colony sizes of eight cavity dwelling ant species. Most colonies of the study species grew larger than optimal productivity predicted. Larger colony size was shown to increase colony homeostasis, the predictability of future productivity and in turn the survival probability of the colony. I also showed that species that deploy an individual foraging mode may circumvent the density dependent decline in foraging success by splitting the colony to several nest sites.

Optimierung von Transformationsprotokollen und Entwicklung von SSR-Markern für das Kolumnarwachstum beim Apfel

Ziel war es, molekularbiologische Untersuchungen zum Kolumnarwachstum des Apfels durchzuführen. Anhand Sequenzdaten des ‘Golden Delicious’ Genoms (Velasco et al. 2010) wurden drei neue SSR Marker entwickelt. Sie konnten bei untersuchten Geisenheimer Nachkommenschaften zuverlässig den Kolumnarwuchs auf DNA-Ebene detektieren. Zusätzlich wurden von Bai et al. (2012) veröffentlichte Marker untersucht. Die von Bai et al. (2012) gefundenen Grenzen des co-Lokus konnten in dieser Arbeit anhand der Geisenheimer Nachkommenschaften nicht bestätigt werden. Die „linke“ Begrenzung der co-Region wird nach Untersuchungen dieser Arbeit am ehesten von dem Marker Mdo.chr10.11 (Moriya et al. 2012) bei 18,757 Mbp definiert. Die „rechte“ Begrenzung der co-Region wird vermutlich von den Markern Co04R13 (Baldi et al. 2012) und C1753-3520 (Bai et al. 2012) bei 18,905 Mbp definiert, wodurch die potentielle co-Region auf 148 kb auf Chromosom 10 eingegrenzt werden könnte. Für Funktionsanalysen möglicher Kandidatengene des co-Gens wurde ein Agrobakterien-vermitteltes Transformationssystem für die Geisenheimer Apfelselektionen ‘A 14’ und ‘Procats 28’ adaptiert. Zusätzlich wurde der bereits in der Literatur als transformierbar beschriebene Genotyp ‘Jonagold’ (Viss et al. 2003) transformiert. Bei Transformationen der Apfelselektion ‘A 14’ gelang es, transgene Zellen an den Explantaten, am Kallusgewebe und an den Regeneraten zu erzeugen. Bei Transformationen von ‘Jonagold’ wurde ein fast vollständig transgenes Regenerat erzeugt.

Prediction of new crystal structures under extreme conditions

One of the most important challenges in chemistry and material science is the connection between the contents of a compound and its chemical and physical properties. In solids, these are greatly influenced by the crystal structure.rnrnThe prediction of hitherto unknown crystal structures with regard to external conditions like pressure and temperature is therefore one of the most important goals to achieve in theoretical chemistry. The stable structure of a compound is the global minimum of the potential energy surface, which is the high dimensional representation of the enthalpy of the investigated system with respect to its structural parameters. The fact that the complexity of the problem grows exponentially with the system size is the reason why it can only be solved via heuristic strategies.rnrnImprovements to the artificial bee colony method, where the local exploration of the potential energy surface is done by a high number of independent walkers, are developed and implemented. This results in an improved communication scheme between these walkers. This directs the search towards the most promising areas of the potential energy surface.rnrnThe minima hopping method uses short molecular dynamics simulations at elevated temperatures to direct the structure search from one local minimum of the potential energy surface to the next. A modification, where the local information around each minimum is extracted and used in an optimization of the search direction, is developed and implemented. Our method uses this local information to increase the probability of finding new, lower local minima. This leads to an enhanced performance in the global optimization algorithm.rnrnHydrogen is a highly relevant system, due to the possibility of finding a metallic phase and even superconductor with a high critical temperature. An application of a structure prediction method on SiH12 finds stable crystal structures in this material. Additionally, it becomes metallic at relatively low pressures.