Universitätsbibliothek

The internal transcribed spacer 2 (ITS2) of the ribosomal gene repeat is an increasingly important phylogenetic marker whose RNA secondary structure is widely conserved across eukaryotic organisms. The ITS2 database aims to be a comprehensive resource on ITS2 sequence and secondary structure, based on direct thermodynamic as well as homology modelled RNA folds. Results: (a) A rebuild of the original ITS2 database generation scripts applied to a current NCBI dataset reveal more than 60,000 ITS2 structures. This more than doubles the contents of the original database and triples it when including partial structures. (b) The end-user interface was rewritten, extended and now features user-defined homology modelling. (c) Other possible RNA structure discovery methods (namely suboptimal and shape folding) prove helpful but are not able to replace homology modelling. (d) A use case of the ITS2 database in conjunction with other tools developed at the department gave insight into molecular phylogenetic analysis with ITS2.

All living organisms leverage mechanisms and response systems to optimize reproduction, defense, survival, and competitiveness within their natural habitat. Evolutionary theories such as the universal adaptive strategy theory (UAST) developed by John Philip Grime (1979) attempt to describe how these systems are limited by the trade-off between growth, maintenance and regeneration; known as the universal three-way trade-off. Grime introduced three adaptive strategies that enable organisms to coop with either high or low intensities of stress (e.g., nutrient deficiency) and environmental disturbance (e.g., seasons). The competitor is able to outcompete other organisms by efficiently tapping available resources in environments of low intensity stress and disturbance (e.g., rapid growers). A ruderal specism is able to rapidly complete the life cycle especially during high intensity disturbance and low intensity stress (e.g., annual colonizers). The stress tolerator is able to respond to high intensity stress with physiological variability but is limited to low intensity disturbance environments. Carnivorous plants like D. muscipula and tardigrades like M. tardigradum are two extreme examples for such stress tolerators. D. muscipula traps insects in its native habitat (green swamps in North and South Carolina) with specialized leaves and thereby is able to tolerate nutrient deficient soils. M. tardigradum on the other side, is able to escape desiccation of its terrestrial habitat like mosses and lichens which are usually covered by a water film but regularly fall completely dry. The stress tolerance of the two species is the central study object of this thesis. In both cases, high througput sequencing data and methods were used to test for transcriptomic (D. muscipula) or genomic adaptations (M. tardigradum) which underly the stress tolerance. A new hardware resource including computing cluster and high availability storage system was implemented in the first months of the thesis work to effectively analyze the vast amounts of data generated for both projects. Side-by-side, the data management resource TBro [14] was established together with students to intuitively approach complex biological questions and enhance collaboration between researchers of several different disciplines. Thereafter, the unique trapping abilities of D. muscipula were studied using a whole transcriptome approach. Prey-dependent changes of the transcriptional landscape as well as individual tissue-specific aspects of the whole plant were studied. The analysis revealed that non-stimulated traps of D. muscipula exhibit the expected hallmarks of any typical leaf but operates evolutionary conserved stress-related pathways including defense-associated responses when digesting prey. An integrative approach, combining proteome and transcriptome data further enabled the detailed description of the digestive cocktail and the potential nutrient uptake machinery of the plant. The published work [25] as well as a accompanying video material (https://www.eurekalert.org/pub_releases/ 2016-05/cshl-fgr042816.php; Video credit: Sönke Scherzer) gained global press coverage and successfully underlined the advantages of D. muscipula as experimental system to understand the carnivorous syndrome. The analysis of the peculiar stress tolerance of M. tardigradum during cryptobiosis was carried out using a genomic approach. First, the genome size of M. tardigradum was estimated, the genome sequenced, assembled and annotated. The first draft of M. tardigradum and the workflow used to established its genome draft helped scrutinizing the first ever released tardigrade genome (Hypsibius dujardini) and demonstrated how (bacterial) contamination can influence whole genome analysis efforts [27]. Finally, the M. tardigradum genome was compared to two other tardigrades and all species present in the current release of the Ensembl Metazoa database. The analysis revealed that tardigrade genomes are not that different from those of other Ecdysozoa. The availability of the three genomes allowed the delineation of their phylogenetic position within the Ecdysozoa and placed them as sister taxa to the nematodes. Thereby, the comparative analysis helped to identify evolutionary trends within this metazoan lineage. Surprisingly, the analysis did not reveal general mechanisms (shared by all available tardigrade genomes) behind the arguably most peculiar feature of tardigrades; their enormous stress tolerance. The lack of molecular evidence for individual tardigrade species (e.g., gene expression data for M. tardigradum) and the non-existence of a universal experimental framework which enables hypothesis testing withing the whole phylum Tardigrada, made it nearly impossible to link footprints of genomic adaptations to the unusual physiological capabilities. Nevertheless, the (comparative) genomic framework established during this project will help to understand how evolution tinkered, rewired and modified existing molecular systems to shape the remarkable phenotypic features of tardigrades.

The Venus flytrap, \textit{Dionaea muscipula}, with its carnivorous life-style and its highly specialized snap-traps has fascinated biologist since the days of Charles Darwin. The goal of the \textit{D. muscipula} genome project is to gain comprehensive insights into the genomic landscape of this remarkable plant. The genome of the diploid Venus flytrap with an estimated size between 2.6 Gbp to 3.0 Gbp is comparatively large and comprises more than 70 % of repetitive regions. Sequencing and assembly of genomes of this scale are even with state-of-the-art technology and software challenging. Initial sequencing and assembly of the genome was performed by the BGI (Beijing Genomics Institute) in 2011 resulting in a 3.7 Gbp draft assembly. I started my work with thorough assessment of the delivered assembly and data. My analysis showed that the BGI assembly is highly fragmented and at the same time artificially inflated due to overassembly of repetitive sequences. Furthermore, it only comprises about on third of the expected genes in full-length, rendering it inadequate for downstream analysis. In the following I sought to optimize the sequencing and assembly strategy to obtain an assembly of higher completeness and contiguity by improving data quality and assembly procedure and by developing tailored bioinformatics tools. Issues with technical biases and high levels of heterogeneity in the original data set were solved by sequencing additional short read libraries from high quality non-polymorphic DNA samples. To address contiguity and heterozygosity I examined numerous alternative assembly software packages and strategies and eventually identified ALLPATHS-LG as the most suited program for assembling the data at hand. Moreover, by utilizing digital normalization to reduce repetitive reads, I was able to substantially reduce computational demands while at the same time significantly increasing contiguity of the assembly. To improve repeat resolution and scaffolding, I started to explore the novel PacBio long read sequencing technology. Raw PacBio reads exhibit high error rates of 15 % impeding their use for assembly. To overcome this issue, I developed the PacBio hybrid correction pipeline proovread (Hackl et al., 2014). proovread uses high coverage Illumina read data in an iterative mapping-based consensus procedure to identify and remove errors present in raw PacBio reads. In terms of sensitivity and accuracy, proovread outperforms existing software. In contrast to other correction programs, which are incapable of handling data sets of the size of D. muscipula project, proovread’s flexible design allows for the efficient distribution of work load on high-performance computing clusters, thus enabling the correction of the Venus flytrap PacBio data set. Next to the assembly process itself, also the assessment of the large de novo draft assemblies, particularly with respect to coverage by available sequencing data, is difficult. While typical evaluation procedures rely on computationally extensive mapping approaches, I developed and implemented a set of tools that utilize k-mer coverage and derived values to efficiently compute coverage landscapes of large-scale assemblies and in addition allow for automated visualization of the of the obtained information in comprehensive plots. Using the developed tools to analyze preliminary assemblies and by combining my findings regarding optimizations of the assembly process, I was ultimately able to generate a high quality draft assembly for D. muscipula. I further refined the assembly by removal of redundant contigs resulting from separate assembly of heterozygous regions and additional scaffolding and gapclosing using corrected PacBio data. The final draft assembly comprises 86 × 10 3 scaffolds and has a total size of 1.45 Gbp. The difference to the estimated genomes size is well explained by collapsed repeats. At the same time, the assembly exhibits high fractions full-length gene models, corroborating the interpretation that the obtained draft assembly provides a complete and comprehensive reference for further exploration of the fascinating biology of the Venus flytrap.

Insect microbiota plays an essential role on the hosts’ health and fitness, regulating their development, nutrition and immunity. The natural microbiota of bees, in particular, has been given much attention, largely because of the globally reported bee population declines. However, although the worker honey bee has been associated with distinctive and specialized microbiota, the microbiota of solitary bees has not been examined in detail, despite their enormous ecological importance. The main objectives of the present thesis were a) the bacterial community description for various solitary bee species, b) the association of the solitary bee microbiota with ecological factors such as landscape type, c) the relation of the bee foraging preferences with their nest bacterial microbiota, d) the examination of the nest building material contribution to the nest microbiota, e) the isolation of bacterial strains with beneficial or harmful properties for the solitary bee larvae and f) the pathological investigation of bacteria found in deceased solitary bee larvae. The findings of the present study revealed a high bacterial biodiversity in the solitary bee nests. At the same time, the bacterial communities were different for each bee host species. Furthermore, it was shown that the pollen bacterial communities underwent compositional shifts reflecting a reduction in floral bacteria with progressing larval development, while a clear landscape effect was absent. The examination of the nest pollen provisions showed different foraging preferences for each included bee species. Both the pollen composition and the host species identity had a strong effect on the pollen bacteria, indicating that the pollen bacterial communities are the result of a combinatory process. The introduced environmental material also contributed to the nest natural microbiome. However, although the larval microbiota was significantly influenced by the pollen microbiota, it was not much associated with that of the nest material. Two Paenibacillus strains isolated from O. bicornis nests showed strong antifungal activities, while several isolated strains were able to metabolize various oligosaccharides which are common in pollen and nectar. Screening for potential pathogenic bacteria in the nests of O. bicornis unveiled bacterial taxa, which dominated the bacterial community in deceased larvae, while at the same time they were undetectable in the healthy individuals. vi Finally, larvae which were raised in vitro developed distinct bacterial microbiomes according to their diet, while their life span was affected. The present thesis described aspects of the microbiota dynamics in the nests of seven megachilid solitary bee nests, by suggesting which transmission pathways shape the established bacterial communities and how these are altered with larval development. Furthermore, specific bacterial taxa were associated with possible services they might provide to the larvae, while others were related with possible harmful effects. Future studies should integrate microbiota examination of different bee generations and parallel investigation of the microbiota of the nests and their surrounding environment (plant community, soil) to elucidate the bacterial transmission paths which establish the nest microbiota of solitary bees. Functional assays will also allow future studies to characterize specific nest bacteria as beneficial or harmful and describe how they assist the development of healthy bees and the fitness of bee populations.