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Institute
- Theodor-Boveri-Institut für Biowissenschaften (30) (remove)
Why is our universe so fine-tuned? In this preprint we discuss that this is not a strange accident but that fine-tuned universes can be considered to be exceedingly large if one counts the number of observable different states (i.e. one aspect of the more general preprint http://www.opus-bayern.de/uni-wuerzburg/volltexte/2009/3353/). Looking at parameter variation for the same set of physical laws simple and complex processes (including life) and worlds in a multiverse are compared in simple examples. Next the anthropocentric principle is extended as many conditions which are generally interpreted anthropocentric only ensure a large space of different system states. In particular, the observed over-tuning beyond the level for our existence is explainable by these system considerations. More formally, the state space for different systems becomes measurable and comparable looking at their output behaviour. We show that highly interacting processes are more complex then Chaitin complexity, the latter denotes processes not compressible by shorter descriptions (Kolomogorov complexity). The complexity considerations help to better study and compare different processes (programs, living cells, environments and worlds) including dynamic behaviour and can be used for model selection in theoretical physics. Moreover, the large size (in terms of different states) of a world allowing complex processes including life can in a model calculation be determined applying discrete histories from quantum spin-loop theory. Nevertheless there remains a lot to be done - hopefully the preprint stimulates further efforts in this area.
Abstract: Intensification of land-use in agricultural landscapes is responsible for a decline of biodiversity which provide important ecosystem services like pest-control. Changes in landscape composition may also induce behavioural changes of predators in response to variation in the biotic or abiotic environment. By controlling for environmentally confounding factors, we here demonstrate that the orb web spider Araneus diadematus alters its web building behaviour in response to changes in the composition of agricultural landscapes. Thereby, the species increases its foraging efficiency (i.e. investments in silk and web asymmetry) with an increase of agricultural land-use at intermediate spatial scales. This intensification is also related to a decrease in the abundance of larger prey. A negative effect of landscape properties at similar spatial scales on spider fitness was recorded when controlling for relative investments in capture thread length. This study consequently documents the web building flexibility in response to changes in landscape composition, possibly due to changes in prey availability.
1. Species assemblages of naturally disturbed habitats are governed by the prevailing disturbance regime. Consequently, stochastic flood events affect river banks and the inhabiting biota. Predatory arthropods occupy predominantly river banks in relation to specific habitat conditions. Therefore, species sorting and stochastic processes as induced by flooding are supposed to play important roles in structuring riparian arthropod assemblages in relation to their habitat preference and dispersal ability. 2. To ascertain whether assemblages of spiders and carabid beetles from disturbed river banks are structured by stochastic or sorting mechanisms, diversity patterns and assemblage-wide trait-displacements were assessed based on pitfall sampling data. We tested if flooding disturbance within a lowland river reach affects diversity patterns and trait distribution in both groups. 3. Whereas the number of riparian spider species decreased considerably with increased flooding, carabid beetle diversity benefited from intermediate degrees of flooding. Moreover, regression analyses revealed trait-displacements, reflecting sorting mechanisms particularly for spiders. Increased flooding disturbance was associated with assemblage-wide increases of niche breadth, shading and hygrophilic preference and ballooning propensity for spider (sub)families. Trait patterns were comparable for Bembidiini carabids, but were less univocal for Pterostichini species. Body size decreased for lycosid spiders and Bembidiini carabids with increased flooding, but increased in linyphiid spiders and Pterostichini carabids. 4. Our results indicate that mainly riparian species are disfavoured by either too high or too low degrees of disturbance, whereas eurytopic species benefit from increased flooding. Anthropogenic alterations of flooding disturbance constrain the distribution of common hygrophilous species and/or species with high dispersal ability, inducing shifts towards less specialized arthropod assemblages. River banks with divergent degrees of flooding impact should be maintained throughout dynamic lowland river reaches in order to preserve typical riparian arthropod assemblages.
Abstract: From a conservation point of view, species- tolerances towards disturbance are often generalised and lack reference to spatial scales and underlying processes. In order to investigate how average typical species react to habitat fragmentation and disturbance, we adopted a multi-species approach to address occupancy patterns of five specialised dune arthropods (butterflies Hipparchia semele, Issoria lathonia; grasshopper Oedipoda caerulescens; spiders Alopecosa fabrilis, Xysticus sabulosus) in recently fragmented coastal dune habitats which are subjected to varying levels and modes of local disturbance, i.e. trampling by cattle or people. Occupancy patterns were assessed during two successive years in 133 grey dune fragments of the Flemish coastal dunes (Belgium, France). By treating species as a random factor in our models, emphasis was placed on generalisations rather than documenting species-specific patterns. Our study demonstrates that deteriorating effects of local disturbance on arthropod incidence cannot be interpreted independent of its landscape context, and appear to be more severe when patch area and connectivity decrease. When controlled for patch area and trampling intensity, the probability of species occupancy in poorly connected patches is higher under cattle trampling than under recreation. Incidences additionally decrease with increasing intensity of cattle trampling, but increases with trampling by tourists. This study provides evidence of mode- and landscape-dependent effects of local disturbance on species occupancy patterns. Most importantly, it demonstrates that trampling of sensitive dune fragments will lead to local and metapopulation extinction in landscapes where trampling occurs in a spatially autocorrelated way, but that the outcome (spatial patterns) varies in relation to disturbance mode, indicating that effects of disturbance cannot be generalised.
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.
Towards localizing the Synapsin-dependent olfactory memory trace in the brain of larval Drosophila
(2008)
Animals need to adapt and modify their behaviour according to a changing environment. In particular, the ability to learn about rewarding or punishing events is crucial for survival. One key process that underlies such learning are modifications of the synaptic connection between nerve cells. This Thesis is concerned with the genetic determinants of such plasticity, and with the site of these modifications along the sensory-to-motor loops in Drosophila olfactory learning. I contributed to the development and detailed parametric description of an olfactory associative learning paradigm in larval fruit flies (Chapter I.1.). The robustness of this learning assay, together with a set of transgenic Drosophila strains established during this Thesis, enabled me to study the role for Synapsin, a presynaptic phosphoprotein likely involved in synaptic plasticity, in this form of learning (Chapter I.2.), and to investigate the cellular site of the corresponding Synapsin-dependent memory trace (Chapter I.3.). These data provide the first comprehensive account to-date of the neurogenetic bases of learning in larval Drosophila. The role for Synapsin was also analyzed with regard to pain-relief learning in adult fruit flies (Chapter II.1.); that is, if an odour precedes an electric shock during training, flies subsequently avoid that odour (‘punishment learning’), whereas presentation of the odour upon the cessation of shock subsequently leads to approach towards the odour (‘relief larning’). Such pain-relief learning was also the central topic of a study concerning the white gene (Chapter II.2.), which as we report does affect pain-relief as well as punishment learning in adult flies, but leaves larval odour-food learning unaffected. These studies regarding pain-relief learning provide the very first hints, in any experimental system, concerning the genetic determinants of this form of learning.
Abstract: Understanding the causes and consequences of dispersal is a prerequisite for the effective management of natural populations. Rather than treating dispersal as a fixed trait, it should be considered a plastic process that responds to both genetic and environmental conditions. Here, we consider how the ambient temperature experienced by juvenile Erigone atra, a spider inhabiting crop habitat, influences adult dispersal. This species exhibits 2 distinct forms of dispersal, ballooning (long distance) and rappelling (short distance). Using a half-sib design we raised individuals under 4 different temperature regimes and quantified the spiders' propensity to balloon and to rappel. Additionally, as an indicator of investment in settlement, we determined the size of the webs build by the spiders following dispersal. The optimal temperature regimes for reproduction and overall dispersal investment were 20 °C and 25 °C. Propensity to perform short-distance movements was lowest at 15 °C, whereas for long-distance dispersal it was lowest at 30 °C. Plasticity in dispersal was in the direction predicted on the basis of the risks associated with seasonal changes in habitat availability; long-distance ballooning occurred more frequently under cooler, spring-like conditions and short-distance rappelling under warmer, summer-like conditions. Based on these findings, we conclude that thermal conditions during development provide juvenile spiders with information about the environmental conditions they are likely to encounter as adults and that this information influences the spider's dispersal strategy. Climate change may result in suboptimal adult dispersal behavior, with potentially deleterious population level consequences.
LINC, the human homologue of an evolutionary conserved complex, regulates the transcription of a set of genes essential during the G2/M transition (Osterloh et al., 2007; Schmit et al., 2007). One component of the LINC core module is LIN-9. LIN-9 is essential for the transcriptional activation of LINC target genes and also promotes differentiation in association with pRB (Gagrica et al., 2004). However, nothing is known about its function in vivo. Histological and molecular analysis revealed that Lin9 is ubiquitously expressed throughout embryonic development and in all examined adult organs. Additionally, Lin9 mRNA is expressed in ES cells and blastocysts. Moreover the analogous distribution of the other LINC components suggested that they all function in the same cells and most likely in the same pathway. To deeper investigate the role of LIN9 in cell cycle and differentiation in vivo, a Lin9 gene trap mouse model (GT) was successfully generated and examined. Heterozygouse Lin9GT/+ mice were inconspicuous and develop normally. However, homozygouse knockout embryos were never obtained. The Lin9GT/GT embryos die at peri-implantation, probably due to a defect in the development of the epiblast, which could be shown with in situ hybridization with specific lineage markers. In vitro, the ICM of Lin9-deficient blastocysts did not develop properly. These data suggest that the loss of Lin9 leads to embryonic lethality at peri-implantation, and indicates that LIN9 is required for proper formation of the epiblast. In parallel, the first conditional Lin9 mouse model based on the Cre-loxP technology was generated. The Lin9fl/fl allele can be deleted by Cre-recombinase, in vivo and in vitro. Therefore an inducible system with Lin9fl/fl mice harboring Cre-ERT2 was established. The MEFs generated from these transgenic mice carried a nearly complete knockout upon induction with tamoxifen. Deletion of LIN9 in MEFs had a major impact upon the cell cycle and growth rates. Specifically, they arrested in G2/M phase and stopped to proliferate. Taken together, I was able to generate a lin9 gene trap and a lin9 conditional knockout mouse model. All results obtained so far demonstrate, that Lin9 is an essential gene for embryonic development and cell cycle control. It will be of great interest to further investigate Lin9-deficiency to gain insights into the mechanism of cell cycle control in early embryonic development and cell differentiation.
In the present study a knockout mouse model of the Popeye domain containing gene 2 (Popdc2) was generated and functionally characterized. The Popdc2 null mutants were viable with an apparent normal life span. ß-galactosidase staining to visualize the expression of the Popdc2-LacZ transgene revealed the presence of the Popdc2 in heart, bladder, smooth and skeletal muscles. In the heart LacZ was found to be present in cardiac myocytes with elevated levels in the myocytes of the cardiac conduction system. Holter ECGs records of the heart function of the 8 months (but not in 3 and 6 months) old mutant and WT littermates revealed a pronounced sinus bradycardia in the mutant mice in response to three different stress regimens: isoproterenol infusion, mental stress and a physical exercise. Histological examination of the Popdc2 null mutants SAN revealed structural alterations as was detected by HCN4 staining. Moreover, volume measurements using 3-D reconstructions of serial sections stained with HCN4 antibody revealed a volume reduction of about 30% in the mutant SAN. Taken together data presented in this study suggest that the Popdc2 KO mouse line may serve as an animal model of human sick sinus syndrome. In the second part of this thesis the Popdc2 gene promoter was analyzed. Three transcription factors binding sites were predicted in the promoter region and characterized.
The human genome has been sequenced since 2001. Most proteins have been characterized now and with everyday more bioinformatical predictions are experimentally verified. A project is underway to sequence thousand humans. But still, little is known about the evolution of the human proteome itself. Domains and their combinations are analysed in detail but not all of the human domain architectures at once. Like no one before, we have large datasets of high quality human protein-protein-protein interactions and complexes available which allow us to characterize the human proteome with unmatched accuracy. Advanced clustering algorithms and computing power enable us to gain new information about protein interactions without touching a pipette. In this work, the human proteome is analysed at three different levels. First, the origin of the different types of proteins was analysed based on their domain architectures. The second part focuses on the protein-protein interactions. Finally, in the third part, proteins are clustered based on their interactions and non-interactions. Most proteins are built of domains and their function is the sum of their domain functions. Proteins that share the same domain architecture, the linear order of domains are homologues and should have originated from one common ancestral protein. This ancestor was calculated for roughly 750 000 proteins from 1313 species. The relations between the species are based on the NCBI Taxonomy and additional molecular data. The resulting data set of 5817 domains and 32868 domain architectures was used to estimate the origin of these proteins based on their architectures. It could be observed, that new domain architectures are only in a small fraction composed of domains arisen at the same taxon. It was also found that domain architectures increase in length and complexity in the course of evolution and that different organisms like worm, and human share nearly the same amount of proteins but differ in their number of distinct domain architectures. The second part of this thesis focuses on protein-protein interactions. This chapter addresses the question how new evolved proteins form connections within the existing network. The network built of protein-protein interactions was shown to be scale free. Scale free networks, like the internet, consist of few hubs with many connections and many nodes with few connections. They are thought to arise by two mechanisms. First, newly emerged proteins interact with proteins of the network. Second, according to the theory of preferential attachment, new proteins have a higher chance to interact with already interaction rich proteins. The Human Protein Reference Database provides an on in-vivo interaction data based network for human. With the data obtained from chapter one, proteins were marked with their taxon of origin based on their domain architectures. The interaction ratio of proteins of the same taxa compared to all interactions was calculated and higher values than the random model showed for nearly every taxa. On the other hand, there was no enrichment of proteins originated at the taxon of cellular organisms for the node degree found. The node degree is the number of links for this node. According to the theorie of preferential attachment the oldest nodes should have the most interactions and newly arisen proteins should be preferably attached to them not together. Both could not be shown in this analysis, preferential attachment could therefore not be the only explanation for the forming of the human protein interaction network. Finally in part three, proteins and all their interactions in the network are analysed. Protein networks can be divided into smaller highly interacting parts carrying out specific functions. This can be done with high statistical significance but still, it does not reflect the biological significance. Proteins were clustered based on their interactions and non-interactions with other proteins. A version with eleven clusters showed high gene ontology based ratings and clusters related to specific cell parts. One cluster consists of proteins having very few interactions together but many to proteins of two other clusters. This first cluster is significantly enriched with transport proteins and the two others are enriched with extracellular and cytoplasm/membrane located proteins. The algorithm seems therefore well suited to reflect the biological importance behind functional modules. Although we are still far from understanding the origin of species, this work has significantly contributed to a better understanding of evolution at the protein level and has, in particular, shown the relation of protein domains and protein architectures and their preferences for binding partners within interaction networks.