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Die ersten Landpflanzen standen vor der Herausforderung sich mit der wechselnden Verfügbarkeit von Wasser an Land arrangieren zu müssen. Daraus ergab sich die Notwendigkeit den Wasserverlust zu minimieren und dennoch ausreichend CO2 für die Photosynthese aufzunehmen (Raven, 2002). Im Laufe der Evolution der Pflanzen entstanden mehrere Anpassungen an diese neuen Gegebenheiten, die schließlich auch zur Entstehung von regulierbaren Öffnungen, den Stomata, in der Blattepidermis führte. Zwei Schließzellen umschließen das Stoma und regulieren über die Aufnahme oder Abgabe von osmotisch-aktiven Teilchen ihren Turgordruck und damit die Öffnungsweite des Stomas. Das Kation Kalium und die Anionen Chlorid und Nitrat repräsentieren die Hauptosmotika, die je nach Bedarf durch Transportproteine über die Plasmamembran der Schließzellen geschleust werden. In den Samenpflanzen wie zum Beispiel der Modellpflanze Arabidopsis thaliana, ist der Signalweg in Schließzellen, der bei Trockenheit zu einem schnellen Schluss des Stomas führt bereits sehr gut untersucht. Bei Wassermangel synthetisiert die Pflanze das Trockenstresshormon ABA (Abscisinsäure). Das Hormon wird durch ABA-Rezeptoren erkannt und resultiert schließlich in der Aktivität der Proteinkinase OST1. Daraufhin reguliert diese Kinase zum einen die Transkription ABA-abhängiger Gene, die der Pflanze eine langfristige Adaptation an Trockenheit und Austrocknungstoleranz verleiht. Zum anderen, phosphoryliert OST1 den Anionenkanal SLAC1 und aktiviert ihn so. Die Aktivität des Kanals initiiert schließlich den Stomaschluss durch einen Ausstrom von Anionen aus den Schließzellen, der mit einer Depolarisation der Schließzellmembran einhergeht.
Der ABA-Signalweg, der zur transkriptionellen Regulation von Genen und der damit verbunden Trockentoleranz führt ist ein sehr stark konservierter und evolutiv sehr alter Signalweg, der in allen Geweben von Pflanzen bei Trockenheit beschritten wird. Der schnelle ABA-Signalweg, der die Aktivität der SLAC1 Anionenkanäle reguliert, ist auf Schließzellen begrenzt. Da sich Schließzellen aber erst spät in der Evolution von Landpflanzen etablierten, erhob sich die Frage, wann in der Evolution geriet SLAC1 unter die Kontrolle das ABA-Signalwegs? Geht diese Regulation von SLAC1 mit der Entstehung von Schließzellen einher oder bestand dieser Regulationsmechanismus bereits in Pflanzen, die keine Schließzellen besitzen. Zur Beantwortung dieser Frage untersuchte ich die einzelnen Komponenten des Signalwegs und ihre Beziehungen zu einander im heterologen Expressionssystem der Xenopus laevis Oozyten.
Im Laufe dieser Arbeit wurden Schlüsselelemente des ABA-Signalwegs aus sechs verschiedenen Versuchspflanzen kloniert und in Oozyten charakterisiert. Für die Untersuchung der Evolution des schnellen ABA-Signalwegs wurden die sechs Versuchspflanzen aus je einem rezenten Vertreter der Grünalgen (Klebsormidium nitens), der Lebermoose (Marchantia polymorpha), der Laubmoose (Physcomitrella patens), der Lycophyten (Selaginella moellendorffii) und der Farne (Ceratopteris richardii) ausgewählt und mit der Samenpflanze Arabidopsis thaliana verglichen. Die sechs Pflanzengruppen spalteten sich an unterschiedlichen Zeitpunkten im Laufe der pflanzlichen Evolution von der Entwicklung der restlichen Pflanzen ab und erlauben so einen bestmöglichen Einblick in den jeweiligen Entwicklungsstand der Landpflanzen während der Entstehung der einzelnen Pflanzenfamilien. Obwohl sich die ersten Stomata erst in den Laubmoosen entwickelten, besitzen schon die Grünalgen OST1-Kinasen und SLAC1-Kanäle. Interessanterweise konnte wir zeigen, dass schon die frühen OST1-Kinasen aus Algen und Moosen dazu in der Lage sind, in den höher entwickelten Samenpflanzen die Rolle in der Regulation der ABA-abhängigen Expression von Genen zu übernehmen. Außerdem zeigte sich im Laufe meiner biophysikalischen Untersuchungen, dass alle dreizehn getesteten OST1-Kinasen aus den sechs unterschiedlichen Versuchspflanzenarten in Lage sind, den Anionenkanal SLAC1 aus Arabidopsis in Xenopus Oozyten zu aktivieren. Diese Austauschbarkeit von den AtSLAC1-aktivierenden Kinasen deutet auf eine sehr starke Konservierung der Struktur und Funktion von OST1 hin. Anders verhielt es sich bei der funktionellen Analyse der Anionenkanäle aus den verschiedenen Versuchspflanzen: Hier bildete nur der evolutionär gesehen jüngsten SLAC-Kanal AtSLAC1 aus Arabidopsis ein funktionelles Pärchen mit OST1. Die SLAC1 Kanäle aus der Grünalge, dem Lebermoos, den Lycophyten und dem Farn blieben ohne messbare Aktivität bei einer Co-expression mit den verschiedenen OST1 Kinasen. Nur beim Laubmoos (Physcomitrella patens) konnte noch ein funktionelles Kinase-Anionenkanal Pärchen gefunden werden. Struktur-Funktionsuntersuchungen erlaubten mir schließlich zu zeigen, dass bestimmte funktionelle Domänen sowohl im N-terminus als auch im C-terminus von SLAC1 erforderlich sind, um eine Aktivierung des Kanals durch OST1 Kinasen sicherzustellen.
Background:
The availability of fully sequenced genomes and the implementation of transcriptome technologies have increased the studies investigating the expression profiles for a variety of tissues, conditions, and species. In this study, using RNA-seq data for three distinct tissues (brain, liver, and muscle), we investigate how base composition affects mammalian gene expression, an issue of prime practical and evolutionary interest.
Results:
We present the transcriptome map of the mouse isochores (DNA segments with a fairly homogeneous base composition) for the three different tissues and the effects of isochores' base composition on their expression activity. Our analyses also cover the relations between the genes' expression activity and their localization in the isochore families.
Conclusions:
This study is the first where next-generation sequencing data are used to associate the effects of both genomic and genic compositional properties to their corresponding expression activity. Our findings confirm previous results, and further support the existence of a relationship between isochores and gene expression. This relationship corroborates that isochores are primarily a product of evolutionary adaptation rather than a simple by-product of neutral evolutionary processes.
In the various groups of social bees, different systems of communication about food sources occur. These communication systems are different solutions to a common problem of social insects: efficiently allocating the necessary number of workers first to the task of foraging and second to the most profitable food sources. The solution chosen by each species depends on the particular ecological circumstances as well as the evolutionary history of that species. For example, the outstanding difference between the bumble bee and the honey bee system is that honey bees can communicate the location of profitable food sources to nestmates, which bumble bees cannot. To identify possible selection pressures that could explain this difference, I have quantified the benefits of communicating location in honey bees. I show that these strongly depend on the habitat, and that communicating location might not benefit bees in temperate habitats. This could be due to the differing spatial distributions of resources in different habitats, in particular between temperate and tropical regions. These distributions may be the reason why the mostly temperate-living bumble bees have never evolved a communication system that allows them to transfer information on location of food sources, whereas most tropical social bees (all honey bees and many stingless bees) are able to recruit nestmates to specific points in their foraging range. Nevertheless, I show that in bumble bees the allocation of workers to foraging is also regulated by communication. Successful foragers distribute in the nest a pheromone which alerts other bees to the presence of food. This pheromone stems from a tergite gland, the function of which had not been identified previously. Usage of a pheromone in the nest to alert other individuals to forage has not been described in other social insects, and might constitute a new mode of communicating about food sources. The signal might be modulated depending on the quality of the food source. Bees in the nest sample the nectar that has been brought into the nest. Their decision whether to go out and forage depends not only on the pheromone signal, but also on the quality of the nectar they have sampled. In this way, foraging activity of a bumble bee colony is adjusted to foraging conditions, which means most bees are allocated to foraging only if high-quality food sources are available. In addition, foraging activity is adjusted to the amount of food already stored. In a colony with full honeypots, no new bees are allocated to foraging. These results help us understand how the allocation of workers to the task of food collection is regulated according to external and internal nest conditions in bumble bees.
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.
The synaptonemal complex (SC) is a highly conserved structure in sexually reproducing organism. It has a tripartite, ladder-like organization and mediates the stable pairing, called synapsis, of the homologous chromosomes during prophase of meiosis I. Failure in homolog synapsis result in aneuploidy and/or apoptosis of the developing germ cells.
Since 1956, the SC is subject of intense research and its presence was described in various species from yeast to human. Its structure was maintained during millions of years of evolution consist-ing of two parallel lateral elements (LEs), joined by numerous transverse filaments (TFs) which run perpendicular to the LEs and an electron dense central element (CE) in the middle of the SC. Individual protein components, however, were characterized only in few available model organ-isms, as for example Saccharomyces cerevisiae, Arabidopsis thaliana, Drosophila melanogaster, Ceanorhabditis elegans and Mus musculus. Rather unexpectedly, these characterizations failed to detect an evolutionary homology between the protein components of the different SCs. This fact challenged the general idea of a single origin of the SC in the evolution of meiosis and sexual reproduction.
This thesis now addressed itself to the task to unravel the discrepancy between the high conser-vation of the SC structure and its diverse and apparently non-homologous protein composition, focusing on the animal kingdom. It is the first study dealing with the evolution of the SC in Meta-zoa and demonstrates the monophyly of the mammalian SC components in metazoan species. The thesis demonstrates that at least four out of seven murine SC proteins emerged in Eumeta-zoa at the latest and have been likewise part of an ancient SC as it can be found in the present-day cnidarian species Hydra. This SC displays the common organization and already possesses the minimal protein kit corresponding to the three different structural domains: LEs, TFs and the CE. Additionally, the individual phylogenies of the murine SC proteins revealed the dynamic evolu-tionary history of the ancient SC. Further components were added during the diversification of Bilateria and vertebrates while ancestral proteins likely duplicated in the vertebrate lineage and diversified or got lost in the branch leading to ecdysozoan species. It is hypothesized that the apparently non-homologous SC proteins in D. melanogaster and C. elegans actually do derive from the ancient SC proteins but diversified beyond recognition during the fast evolution of Ar-thropoda and Nematoda.
The study proposes Hydra as an alternative invertebrate model system for meiosis and SC re-search to the standard organisms D. melanogaster and C. elegans. Recent results about the cni-darian SC as well as the possible application of standard methods is discussed and summarized in the concluding section.
This thesis extends the classical theoretical work of Macevicz and Oster (1976, expanded by Oster and Wilson, 1978) on adaptive life history strategies in social insects. It focuses on the evolution of dynamic behavioural patterns (reproduction and activity) as a consequence of optimal allocation of energy and time resources. Mathematical modelling is based on detailed empirical observations in the model species Lasioglossum malachurum (Halictidae; Hymenoptera). The main topics are field observations, optimisation models for eusocial life histories, temporal variation in life history decisions, and annual colony cycles of eusocial insects.
During the past years, the internal transcribed spacer 2 (ITS2) was established as a commonly used molecular phylogenetic marker for the eukaryotes. Its fast evolving sequence is predestinated for the use in low-level phylogenetics. However, the ITS2 also consists of a very conserved secondary structure. This enables the discrimination between more distantly related species. The combination of both in a sequence-structure based analysis increases the resolution of the marker and enables even more robust tree reconstructions on a broader taxonomic range. But, performing such an analysis required the application of different programs and databases making the use of the ITS2 non trivial for the typical biologist. To overcome this hindrance, I have developed the ITS2 Workbench, a completely web-based tool for automated phylogenetic sequence-structure analyses using the ITS2 (http://its2.bioapps.biozentrum.uni-wuerzburg.de). The development started with an optimization of length modelling topologies for Hidden Markov Models (HMMs), which were successfully applied on a secondary structure prediction model of the ITS2 marker. Here, structure is predicted by considering the sequences' composition in combination with the length distribution of different helical regions. Next, I integrated HMMs into the sequence-structure generation process for the delineation of the ITS2 within a given sequence. This re-implemented pipeline could more than double the number of structure predictions and reduce the runtime to a few days. Together with further optimizations of the homology modelling process I can now exhaustively predict secondary structures in several iterations. These modifications currently provide 380,000 annotated sequences including 288,000 structure predictions. To include these structures in the calculation of alignments and phylogenetic trees, I developed the R-package "treeforge". It generates sequence-structure alignments on up to four different coding alphabets. For the first time also structural bonds were considered in alignments, which required the estimation of new scoring matrices. Now, the reconstruction of Maximum Parsimony, Maximum Likelihood as well as Neighbour Joining trees on all four alphabets requires just a few lines of code. The package was used to resolve the controversial chlorophyceaen dataset and could be integrated into future versions of the ITS2 workbench. The platform is based on a modern, feature-rich Web 2.0 user interface equipped with the latest AJAX and Web-service technologies. It performs HMM-based sequence annotation, structure prediction by energy minimization or homology modelling, alignment calculation and tree reconstruction on a flexible data pool that repeats calculations according to data changes. Further, it provides sequence motif detection to control annotation and structure prediction and a sequence-structure based BLAST search, which facilitates the taxon sampling process. All features and the usage of the ITS2 workbench are explained in a video tutorial. However, the workbench bears some limitations regarding the size of datasets. This is caused mainly due to the immense computational power needed for such extensive calculations. To demonstrate the validity of the approach also for large-scale analyses, a fully automated reconstruction of the Chlorophyta (Green Algal) Tree of Life was performed. The successful application of the marker even on large datasets underlines the capabilities of ITS2 sequence-structure analysis and suggests its utilization on further datasets. The ITS2 workbench provides an excellent starting point for such endeavours.
The Ecology and Population structure of the invasive Yelllow Crazy Ant Anoplolepis gracilipes
(2011)
The invasive Yellow Crazy Ant Anoplolepis gracilipes is a widespread tropical ant species which is particularly common in anthropogenically disturbed habitats in South-East Asia and the Indopacific region. Its native range is unknown, and there is little information concerning its social structure as a potential mechanism facilitating invasion as well as its ecology in one of the putative native ranges, South-East Asia. Using mitochondrial DNA sequences, I demonstrated that the majority of the current Indopacific colonies were likely introduced from South-East Asian populations, which in turn may have been introduced much earlier from a yet unidentified native range. By conducting behavioral, genetic and chemical analyses, I found that A. gracilipes supercolonies contain closely related individuals, thus resembling enlarged versions of monogynous, polydomous colonies of other ant species. Furthermore, mutually aggressive A. gracilipes supercolonies were highly differentiated both genetically and chemically, suggesting limited or even absent gene flow between supercolonies. Intranidal mating and colony-budding are most likely the predominant, if not the exclusive mode of reproduction and dispersal strategy of A. gracilipes. Consequently, a positive feedback between genetic, chemical and behavioral traits may further enhance supercolony differentiation though genetic drift and neutral evolution. This potential scenario led to the hypothesis that absent gene flow between different A. gracilipes supercolonies may drive them towards different evolutionary pathways, possibly including speciation. Thus, I examined one potential way by which gene flow between supercolonies of an ant species without nuptial flights may be maintained, i.e. the immigration of sexuals into foreign supercolonies. The results suggest that this option of maintaining gene flow between different supercolonies is likely impaired by severe aggression of workers towards allocolonial sexuals. Moreover, breeding experiments involving males and queens from different supercolonies suggest that A. gracilipes supercolonies may already be on the verge of reproductive isolation, which might lead to the diversification of A. gracilipes into different species. Regarding the ecological consequences of its potential introduction to NE-Borneo, I could show that A. gracilipes supercolonies may affect the local ant fauna. The ant community within supercolonies was less diverse and differed in species composition from areas outside supercolonies. My data suggest that the ecological dominance of A. gracilipes within local ant communities was facilitated by monopolization of food sources within its supercolony territory, achieved by a combination of rapid recruitment, numerical dominance and pronounced interspecific aggression. A. gracilipes’ distribution is almost exclusively limited to anthropogenically altered habitat, such as residential and agricultural areas. The rate at which habitat conversion takes place in NE-Borneo will provide A. gracilipes with a rapidly increasing abundance of suitable habitats, thus potentially entailing significant population growth. An potentially increasing population size and ecological dominance, however, are not features that are limited to invasive alien species, but may also occur in native species that become ‘pests’ in an increasing abundance of anthropogenically altered habitat. Lastly, I detected several ant guests in supercolonies of A. gracilipes. I subsequently describe the relationship between one of them (the cricket Myrmecophilus pallidithorax) and its ant host. By conducting behavioral bioassays and analyses of cuticular hydrocarbon (CHC) profiles, I revealed that although M. pallidithorax is attacked and consumed by A. gracilipes whenever possible, it may evade aggression from its host by a combination of supreme agility and, possibly, chemical deception. This thesis adds to our general understanding of biological invasions by contributing species-specific data on a previously understudied invasive organism, the Yellow Crazy Ant Anoplolepis gracilipes. Introductions which may have occurred a long time ago may make it difficult to determine whether a given species is an introduced invader or a native pest species, as both may have pronounced ecological effects in native species communities. Furthermore, this thesis suggests that supercolonialism in invasive ants may not be an evolutionary dead end, but that it may possibly give rise to new species due to reproductive boundaries between supercolonies evoked by peculiar mating and dispersal strategies.
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.
In a nice assay published in Nature in 1993 the physicist Richard God III started from a human observer and made a number of witty conclusions about our future prospects giving estimates for the existence of the Berlin Wall, the human race and all the rest of the universe. In the same spirit, we derive implications for "the meaning of life, the universe and all the rest" from few principles. Adams´ absurd answer "42" tells the lesson "garbage in / garbage out" - or suggests that the question is non calculable. We show that experience of "meaning" and to decide fundamental questions which can not be decided by formal systems imply central properties of life: Ever higher levels of internal representation of the world and an escalating tendency to become more complex. An observer, "collecting observations" and three measures for complexity are examined. A theory on living systems is derived focussing on their internal representation of information. Living systems are more complex than Kolmogorov complexity ("life is NOT simple") and overcome decision limits (Gödel theorem) for formal systems as illustrated for cell cycle. Only a world with very fine tuned environments allows life. Such a world is itself rather complex and hence excessive large in its space of different states – a living observer has thus a high probability to reside in a complex and fine tuned universe.