Techn. University, Diss., 2007--Darmstadt.

Techn. Universiẗat, Diss., 2007--Darmstadt.

Stuttgart, Univ., Diss., 2007. / Druckausg. im VDI Verlag, Düsseldorf erschienen.

Wolbachien sind weitverbreitete bakterielle Symbionten von Arthropoden. Sie werden überwiegend durch maternale Vererbung übertragen, können aber auch horizontal von Art zu Art übertragen werden. Wolbachien sind berüchtigt dafür, die Wirtsreproduktion zu manipulieren, können aber auch Mutualismen mit ihren Wirten evolvieren. In dieser Arbeit untersuche ich, welche Rolle horizontale Transmission und mutualistische Effekte bei der Wolbachien-Pandemie unter Arthropoden spielen. Zunächst schätze ich, dass Millionen Arthropodenarten mit Wolbachien infiziert sind. Um diese erstaunliche Verbreitung zu verstehen, entwickele ich ein Modell zur horizontalen zwischenartlichen Transmission von Wolbachien, das auf epidemiologischer und Netzwerk-Theorie aufbaut. Die Ergebnisse weisen auf die Bedeutung von horizontaler Transmission über große phylogenetische Distanzen hin. Da eine erfolgreiche Transmission wahrscheinlich durch symbionteninduzierte Wirtsvorteile begünstigt wird, betrachte ich dann umfassend und kritisch Wolbachien-Arthropoden-Mutualismen und finde diese in vielfältigen Kontexten, aber nur begrenzt Hinweise auf Wolbachien-induzierten Wirtsschutz. Mithilfe eines populationsgenetischen Modells untersuche ich dann den Einfluss von Wirtsvorteilen auf die Infektionsdynamik von Wolbachien. Erstmalig leite ich Invasionsbedingungen und Gleichgewichtsfrequenzen für Wolbachien-Doppelinfektionen her. Die Ergebnisse bestätigen, dass Wirtsvorteile die Invasion von Wolbachien in neue Wirte erheblich erleichtern. Schließlich untersuche ich die Wechselwirkungen zwischen einer Wolbachien-Infektion und dem Immunsystem des Wirtes, wobei ein Schwerpunkt auf reaktiven Sauerstoffspezies liegt. Ich schlage eine Hypothese vor, die unterschiedliche Immunantworten in neuen und ko-evolvierten Assoziationen erklärt. Insgesamt sprechen die Ergebnisse dieser Arbeit für einen wesentlichen Anteil von horizontaler Transmission und mutualistischen Effekten an der Wolbachien-Pandemie in Arthropoden. / Wolbachia are widespread bacterial symbionts of arthropods. They are transmitted predominantly via maternal inheritance, but are also able to move between different species (horizontal transmission). Wolbachia are notorious for selfishly interfering with host reproduction, but they can also evolve mutualistic associations with their hosts. In this thesis, we analyze the role of horizontal transmission and mutualistic effects in the Wolbachia pandemic among arthropods. First, we derive an estimate of the number of Wolbachia-infected arthropod species and find that millions of species are infected. In order to explain this striking distribution, we develop a model of Wolbachia horizontal transmission between species, building on epidemiological theory and network theory. Our findings point to the importance of transmission over large phylogenetic distances. Given that successful horizontal transmission is likely to be facilitated by symbiont-induced host benefits, we then perform a comprehensive review of Wolbachia-arthropod mutualisms and find that these occur in diverse contexts, although the evidence of Wolbachia-induced host protection in nature is limited so far. By means of a population genetic model, we then analyze the influence of host benefits on the infection dynamics of Wolbachia. For the first time, we derive invasion conditions and equilibrium frequencies for Wolbachia double infections. Our results corroborate that host benefits substantially facilitate invasion of Wolbachia into novel hosts. Finally, we examine the interactions between Wolbachia infection and the host immune system, with a focus on reactive oxygen species. We propose a hypothesis that explains differential immune responses in novel and coevolved associations. Taken together, the findings presented in this thesis argue for a significant involvement of horizontal transmission and mutualistic effects in the Wolbachia pandemic among arthropods.

In this thesis, phylogenomic and comparative structural analyses of several widespread energy converting enzymes were performed. The focus was on the major subfamilies of the enzymes that process nucleoside triphosphates (ATP and GTP) and on some key enzymes of the electron transfer chains. First, we analyzed the P-loop GTPases, RadA/RecA recombinases, chaperone GroEL, branched-chain α-ketoacid dehydrogenase kinases, chaperone Hsc70, actins, and membrane pyrophosphatases. In the each inspected family we could identify (1) members which were potassium-dependent and/or contained K+ ions in the active site, and (2) potassium-independent enzymes with lysine or arginine residues as catalytic groups that occupy the positions of potassium ions in the homologous, K+-dependent enzymes. Based on the results of our analyses, we suggest that the appearance of the K+-binding sites could precede in evolution the recruitment of positively charged residues (lysine or arginine "fingers") with the latter providing more possibilities to control the enzyme reactions. Second, we have described the distinctive features of a phylogenetically separated subfamily of rotary membrane ATPases which we named N-ATPases. The N-ATPases have a specific operon organization with two additional subunits, absent in other rotary ATPases, and a complete set of Na+-binding ligands in the membrane c-subunits. We made a prediction, which was later confirmed, that these enzymes are capable of Na+ translocation across the membrane and may confer salt tolerance on marine prokaryotes. Third, phylogenomic analysis of the cytochrome bc complexes suggests that these enzyme complexes initially emerged within the bacteria and were then transferred to archaea via lateral gene transfer on several independent occasions. Our analysis indicates that the ancestral form of the cytochrome bc complex was a b6f-type complex; the fusion of the cytochrome b6 and the subunit IV to a "long" cytochrome b of the cytochrome bc1 complexes could have happened in different lineages independently. Fourth, our phylogenomic and comparative structural analyses of the cytochrome bc1 complex and of cytochrome c allowed us to trace how these enzymes became involved in triggering of apoptosis in Metazoa. We could trace the emergence of a specific cardiolipin-binding site within the cytochrome bc complex and the evolution of structural traits that account for the involvement of the cytochrome c as a trigger of apoptosis in vertebrates.

Cellular automata (CA) are fully discrete dynamical systems. Space is represented by a regular lattice while time proceeds in finite steps. Each cell of the lattice is assigned a state, chosen from a finite set of "values". The states of the cells are updated synchronously according to a local interaction rule, whereby each cell obeys the same rule. Formal definitions of deterministic, probabilistic and lattice-gas CA are presented. With the so-called mean-field approximation any CA model can be transformed into a deterministic model with continuous state space. CA rules, which characterise movement, single-component growth and many-component interactions are designed and explored. It is demonstrated that lattice-gas CA offer a suitable tool for modelling such processes and for analysing them by means of the corresponding mean-field approximation. In particular two types of many-component interactions in lattice-gas CA models are introduced and studied. The first CA captures in abstract form the essential ideas of activator-inhibitor interactions of biological systems. Despite of the automaton´s simplicity, self-organised formation of stationary spatial patterns emerging from a randomly perturbed uniform state is observed (Turing pattern). In the second CA, rules are designed to mimick the dynamics of excitable systems. Spatial patterns produced by this automaton are the self-organised formation of spiral waves and target patterns. Properties of both pattern formation processes can be well captured by a linear stability analysis of the corresponding nonlinear mean-field (Boltzmann) equations.