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In patients suffering from end-stage renal disease who are treated by hemodialysis genomic damage as well as cancer incidence is elevated. One possible cause for the increased genomic damage could be the accumulation of genotoxic substances in the blood of patients. Two possible sources for those toxins have to be considered. The first possibility is that substances from dialysers, the blood tubing system or even contaminated dialysis solutions may leach into the blood of the patients during dialysis. Secondly, the loss of renal filtration leads to an accumulation of substances which are normally excreted by the kidney. If those substances possess toxic potential, they are called uremic toxins. Several of these uremic toxins are potentially genotoxic. Within this thesis several exemplary uremic toxins have been tested for genotoxic effects (homocysteine, homocysteine-thiolactone,leptine, advanced glycated end-products). Additionally, it was analysed whether substances are leaching from dialysers or blood tubing and whether they cause effects in in vitrotoxicity testing. The focus of chemical analytisis was on bisphenol A (BPA), the main component of plastics used in dialysers and dialyser membranes.
The nucleolus
(1994)
Neuronal representation and processing of chemosensory communication signals in the ant brain
(2008)
Ants heavily rely on olfaction for communication and orientation and ant societies are characterized by caste- and sex-specific division of labor. Olfaction plays a key role in mediating caste-specific behaviours. I investigated whether caste- and sex-specific differences in odor driven behavior are reflected in specific differences and/or adaptations in the ant olfactory system. In particular, I asked the question whether in the carpenter ant, Camponotus floridanus, the olfactory pathway exhibits structural and/or functional adaptations to processing of pheromonal and general odors. To analyze neuroanatomical specializations, the central olfactory pathway in the brain of large (major) workers, small (minor) workers, virgin queens, and males of the carpenter ant C. floridanus was investigated using fluorescent tracing, immunocytochemistry, confocal microscopy and 3D-analyzes. For physiological analyzes of processing of pheromonal and non-pheromonal odors in the first odor processing neuropil , the antennal lobe (AL), calcium imaging of olfactory projection neurons (PNs) was applied. Although different in total glomerular volumes, the numbers of olfactory glomeruli in the ALs were similar across the female worker caste and in virgin queens. Here the AL contains up to ~460 olfactory glomeruli organized in 7 distinct clusters innervated via 7 antennal sensory tracts. The AL is divided into two hemispheres regarding innervations of glomeruli by PNs with axons leaving via a dual output pathway. This pathway consists of the medial (m) and lateral (l) antenno-cerebral tract (ACT) and connects the AL with the higher integration areas in the mushroom bodies (MB) and the lateral horn (LH). M- and l-ACT PNs differ in their target areas in the MB calyx and the LH. Three additional ACTs (mediolateral - ml) project to the lateral protocerebrum only. Males had ~45% fewer glomeruli compared to females and one of the seven sensory tracts was absent. Despite a substantially smaller number of glomeruli, males possess a dual PN output pathway to the MBs. In contrast to females, however, only a small number of glomeruli were innervated by projection neurons of the m-ACT. Whereas all glomeruli in males were densely innervated by serotonergic processes, glomeruli innervated by sensory tract six lacked serotonergic innervations in the female castes. It appears that differences in general glomerular organization are subtle among the female castes, but sex-specific differences in the number, connectivity and neuromodulatory innervations of glomeruli are substantial and likely to promote differences in olfactory behavior. Calcium imaging experiments to monitor pheromonal and non-pheromonal processing in the ant AL revealed that odor responses were reproducible and comparable across individuals. Calcium responses to both odor groups were very sensitive (10-11 dilution), and patterns from both groups were partly overlapping indicating that processing of both odor classes is not spatially segregated within the AL. Intensity response patterns to the pheromone components tested (trail pheromone: nerolic acid; alarm pheromone: n-undecane), in most cases, remained invariant over a wide range of intensities (7-8 log units), whereas patterns in response to general odors (heptanal, octanol) varied across intensities. Durations of calcium responses to stimulation with the trail pheromone component nerolic acid increased with increasing odor concentration indicating that odor quality is maintained by a stable pattern (concentration invariance) and intensity is mainly encoded in the response durations of calcium activities. For n-undecane and both general odors increasing response dynamics were only monitored in very few cases. In summary, this is the first detailed structure-function analyses within the ant’s central olfactory system. The results contribute to a better understanding of important aspects of odor processing and olfactory adaptations in an insect’s central olfactory system. Furthermore, this study serves as an excellent basis for future anatomical and/or physiological experiments.
Chapter 1 - Evolution of local adaptations in dispersal strategies The optimal probability and distance of dispersal largely depend on the risk to end up in unsuitable habitat. This risk is highest close to the habitat’s edge and consequently, optimal dispersal probability and distance should decline towards the habitat’s border. This selection should lead to the emergence of spatial gradients in dispersal strategies. However, gene flow caused by dispersal itself is counteracting local adaptation. Using an individual based model I investigate the evolution of local adaptations of dispersal probability and distance within a single, circular, habitat patch. I compare evolved dispersal probabilities and distances for six different dispersal kernels (two negative exponential kernels, two skewed kernels, nearest neighbour dispersal and global dispersal) in patches of different size. For all kernels a positive correlation between patch size and dispersal probability emerges. However, a minimum patch size is necessary to allow for local adaptation of dispersal strategies within patches. Beyond this minimum patch area the difference in mean dispersal distance between center and edge increases linearly with patch radius, but the intensity of local adaptation depends on the dispersal kernel. Except for global and nearest neighbour dispersal, the evolved spatial pattern are qualitatively similar for both, mean dispersal probability and distance. I conclude, that inspite of the gene-flow originating from dispersal local adaptation of dispersal strategies is possible if a habitat is of sufficient size. This presumably holds for any realistic type of dispersal kernel. Chapter 2 - How dispersal propensity and distance depend on the capability to assess population density We analyze the simultaneous evolution of emigration probability and dispersal distance for species with different abilities to assess habitat quality (population density) and which suffer from distance dependent dispersal costs. Using an individual-based model I simulate dispersal as a multistep (patch to patch) process in a world consisting of habitat patches surrounded by lethal matrix. Our simulations show that natal dispersal is strongly driven by kin-competition but that consecutive dispersal steps are mostly determined by the chance to immigrate into patches with lower population density. Consequently, individuals following an informed strategy where emigration probability depends on local population density disperse over larger distances than individuals performing density-independent emigration; this especially holds when variation in environmental conditions is spatially correlated. However, already moderate distance-dependent dispersal costs prevent the evolution of long-distance dispersal irrespectively of the chosen dispersal strategy. Chapter 3 - Evolution of sex-biased dispersal: the role of sex-specific dispersal costs, demographic stochasticity, and inbreeding Inbreeding avoidance and asymmetric competition over resources have both been identified as factors favouring the evolution of sex- biased dispersal. It has also been recognized that sex-specific costs of dispersal would promote selection for sexspecific dispersal, but there is little quantitative information on this aspect. In this paper I explore (i) the quantitative relationship between cost-asymmetry and a bias in dispersal, (ii) the influence of demographic stochasticity on this effect, and (iii) how inbreeding and cost-asymmetry interact in their effect on sex-specific dispersal. I adjust an existing analytical model to account for sex-specific costs of dispersal. Based on numerical calculations I predict a severe bias in dispersal already for small differences in dispersal costs. I corroborate these predictions in individualbased simulations, but show that demographic stochasticity generally leads to more balanced dispersal. In combination with inbreeding, cost asymmetries will usually determine which of the two sexes becomes the more dispersive. Chapter 4 - Evolution of sex-biased dispersal: the role of sex-specific dispersal costs, demographic stochasticity, and inbreeding Inbreeding depression, asymmetries in costs or benefits, and the mating system have been identified as potential factors underlying the evolution of sex-biased dispersal. We use individual-based simulations to explore how the mating system and demographic stochasticity influence the evolution of sex-specific dispersal in a metapopulation with females competing over breeding sites, and males over mating opportunities. Comparison of simulation results for random mating with those for a harem system (locally, a single male sires all offspring) reveal that even extreme variance in local male reproductive success (extreme male competition) does not induce a male bias in dispersal. The latter evolves if between-patch variance in reproductive success is larger for males than females. This can emerge due to demographic stochasticity if habitat patches are small. More generally, members of a group of individuals experiencing higher spatio-temporal variance in fitness expectations may evolve to disperse with greater probability than others.