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Institute
- Theodor-Boveri-Institut für Biowissenschaften (83) (remove)
Sonstige beteiligte Institutionen
EU-Project number / Contract (GA) number
- 226852 (1)
Background: Gene function analysis of the obligate intracellular bacterium Chlamydia pneumoniae is hampered by the facts that this organism is inaccessible to genetic manipulations and not cultivable outside the host. The genomes of several strains have been sequenced; however, very little information is available on the gene structure and transcriptome of C. pneumoniae. Results: Using a differential RNA-sequencing approach with specific enrichment of primary transcripts, we defined the transcriptome of purified elementary bodies and reticulate bodies of C. pneumoniae strain CWL-029; 565 transcriptional start sites of annotated genes and novel transcripts were mapped. Analysis of adjacent genes for cotranscription revealed 246 polycistronic transcripts. In total, a distinct transcription start site or an affiliation to an operon could be assigned to 862 out of 1,074 annotated protein coding genes. Semi-quantitative analysis of mapped cDNA reads revealed significant differences for 288 genes in the RNA levels of genes isolated from elementary bodies and reticulate bodies. We have identified and in part confirmed 75 novel putative non-coding RNAs. The detailed map of transcription start sites at single nucleotide resolution allowed for the first time a comprehensive and saturating analysis of promoter consensus sequences in Chlamydia. Conclusions: The precise transcriptional landscape as a complement to the genome sequence will provide new insights into the organization, control and function of genes. Novel non-coding RNAs and identified common promoter motifs will help to understand gene regulation of this important human pathogen.
Das angeborene Immunsystem von Insekten besteht aus einer humoralen Komponente, einer zellulären Komponente und dem Prophenoloxidase-aktivierenden System. Fast alle Erkenntnisse über das angeborene Immunsystem stammen von Arbeiten mit Modellorganismen wie z.B. Drosophila oder Anopheles gambiae. Wie genau das Immunsystem der Honigbiene (Apis mellifera) funktioniert, ist jedoch noch relativ unbekannt. In der vorliegenden Arbeit wurden die unterschiedlichen Immunreaktionen aller drei Entwicklungsstadien der Honigbiene nach artifizieller Infektion mit Gram-negativen und Gram-positiven Bakterien (Escherichia coli und Micrococcus flavus) und dem Akuten Bienen Paralyse Virus (ABPV) untersucht und verglichen. Eine E. coli-Injektion zeigt bei Larven und adulten Arbeiterinnen nur wenig Auswirkung auf das äußere Erscheinungsbild und die Überlebensrate. In beiden Entwicklungsstadien wird die humorale Immunantwort stark induziert, erkennbar an der Expression der antimikrobiellen Peptide (AMPs) Hymenoptaecin, Defensin1 und Abaecin. Zusätzlich werden allein in Jungbienen nach bakterieller Infektion vier weitere immunspezifische Proteine exprimiert. Unter anderem eine Carboxylesterase (CE1) und das Immune-Responsive Protein 30 (IRp30). Die Expression von CE1 und IRp30 zeigt dabei den gleichen zeitlichen Verlauf wie die der AMPs. In Jungbienen kommt es zudem nach E. coli-Injektion zu einer raschen Abnahme an lebenden Bakterien in der Hämolymphe, was auf eine Aktivierung der zellulären Immunantwort schließen lässt. Ältere Bienen und Winterbienen zeigen eine stärkere Immunkompetenz als Jungbienen. Selbst nicht-infizierte Winterbienen exprimieren geringe Mengen der immunspezifischen Proteine IRp30 und CE1. Die Expression von IRp30 kann dabei durch Verwundung oder Injektion von E. coli noch gesteigert werden. Eine weitere Besonderheit ist die im Vergleich zu Jungbienen raschere Abnahme an lebenden Bakterien in der Hämolymphe bis hin zur vollständigen Eliminierung. Die Reaktion von Puppen auf eine bakterielle Infektion war völlig unerwartet. Nach Injektion von E. coli-Zellen kommt es innerhalb von 24 h p.i. zu einem tödlichen Kollaps, der sich in einer Graufärbung des gesamten Puppenkörpers äußert. Da keine Expression von AMPs nachzuweisen war, wird die humorale Immunantwort offensichtlich nicht induziert. Auch die zelluläre Immunantwort scheint nicht aktiviert zu werden, denn es konnte keine Abnahme an lebenden E. coli-Zellen beobachtet werden. Aufgrund dieser fehlenden Immunreaktionen vermehrt sich E. coli im Hämocoel infizierter Puppen und scheint damit deren Tod herbeizuführen. Nach viraler Infektion wurden in allen drei Entwicklungsstadien der Honigbiene gänzlich andere Reaktionen beobachtet als nach bakterieller Infektion. Bei dem verwendeten Akuten Bienen Paralyse Virus (ABPV) handelt es sich um ein Picorna-ähnliches Virus, dessen Vermehrung in der Hämolymphe über die massive Synthese der Capsidproteine verfolgt werden kann. Eine Injektion von sehr wenigen ABPV-Partikeln ins Hämocoel hat dramatische Auswirkungen auf Larven. Nach Virusinjektion kommt es innerhalb weniger Stunden zu einer raschen Virusvermehrung und schon 24 h p.i. zum Tod, häufig begleitet von einer Schwarzfärbung der gesamten Larve. Kurz vor dem Ableben kommt es neben dem Abbau hochmolekularer Speicherproteine zur Expression zahlreicher Proteine, die u.a. an der Translation oder dem Schutz vor oxidativem Stress beteiligt sind. Auf Jungbienen hat eine ABPV-Infektion keine so dramatischen Auswirkungen wie auf Larven. Sie zeigen lediglich Zeichen von Paralyse, zudem überleben sie länger bei höheren injizierten Partikelzahlen, die Virusvermehrung ist langsamer und es kommt zu keiner starken Veränderung des Hämolymph-Proteinmusters. Es konnte gezeigt werden, dass es in ABPV-infizierten Larven oder adulten Bienen zu keiner erkennbaren Aktivierung des humoralen Immunsystems in Form von exprimierten AMPs kommt. Zudem scheint die humorale Immunantwort auch nicht unterdrückt zu werden, denn nach gleichzeitiger Injektion von E. coli und ABPV kommt es neben der Expression viraler Capsidproteine auch zur Expression von AMPs. Zusätzlich konnte in Jungbienen nach Infektion mit ABPV eine zelluläre Immunantwort in Form von Nodulation ausgeschlossen werden. Ältere Bienen scheinen nicht nur mit bakteriellen Infektionen, sondern auch mit einer ABPV-Infektion besser zurechtzukommen. Bei einer Menge an ABPV-Partikeln, die in Jungbienen spätestens 72 h p.i. zum Tod führt, ist in Winterbienen eine Virusvermehrung erst ab 96 h p.i. erkennbar und diese beeinträchtigt die Überlebensrate kaum. Puppen sind einer Virusinfektion genauso schutzlos ausgeliefert wie einer Bakterieninfektion. Es kommt zwar zu keiner starken Änderung des äußeren Erscheinungsbildes, jedoch bleiben Puppen in ihrer Entwicklung komplett stehen. Das Virus muss sich daher stark vermehren, allerdings nicht überwiegend - wie bei Larven und adulten Bienen - in der Hämolymphe.
Yersinia enterocolitica subsp. palearctica serobiotype O:3/4 comprises about 80-90 % of all human patient isolates in Germany and Europe and is responsible for sporadic cases worldwide. Even though this serobiotype is low pathogenic, Y. enterocolitica subsp. palearctica serobiotype O:3/4 is involved in gastroenteritis, lymphadenitis and various extraintestinal sequelae as reactive arthritis. The main animal reservoir of this serobiotype are pigs, causing a high rate of O:3/4 contaminations of raw pork in butcher shops in Germany (e.g. Bavaria 25 %) and countries in north-east Europe. As Y. enterocolitica O:3/4 is geographically and phylogenetically distinct from the so far sequenced mouse-virulent O:8/1B strain, complete genome sequencing has been performed for the European serobiotype O:3/4 DSMZ reference strain Y11, which has been isolated from a patient stool. To gain greater insight into the Y. enterocolitica subspecies palearctica group, also draft genome sequences of two other human O:3/4 isolates (strains Y8265, patient isolate, and Y5307, patient isolate associated with reactive arthritis), a closely related Y. enterocolitica palearctica serobiotype O:5,27/3 (strain Y527P), and two biotype 1A strains (a nosocomial strain of serogroup O:5 and an environmental serogroup O:36 isolate) have been performed. Those strains were compared to the high-pathogenic Y. enterocolitica subsp. enterocolitica serobiotype O:8/1B strain 8081 to address the peculiarities of the strain Y11 and the Y. enterocolitica subspecies palearctica group. The main focus was to unravel the pathogenic potential of strain Y11 and thus to identify novel putative virulence genes and fitness factors, especially those that may constitute host specificity of serobiotype O:3/4. Y. enterocolitica subspecies palearctica serobiotype O:3/4 strains lack most of the mouse-virulence-associated determinants of Y. enterocolitica subsp. enterocolitica serotype O:8, for example the HPI, Yts1 type 2 and Ysa type three secretion systems. In comparison, serobiotype O:3/4 strains obviously acquired a different set of genes and genomic islands for virulence and fitness such as the Ysp type three secretion system, an RtxA-like putative toxin, insecticidal toxins and a functional PTS system for N-acetyl-galactosamine uptake, named aga-operon. The aga-operon is able to support the growth of the Y. enterocolitica subsp. enterocolitica O:8/1B on N-acetyl-galactosamine after transformation with the aga operon. Besides these genes, also two prophages, PhiYep-2 and PhiYep-3, and a asn tRNA-associated GIYep-01 genomic island might influence the Y. enterocolitica subsp. palearctica serobiotype O:3/4 pathoadaptation. The PhiYep-3 prophage and the GIYep-01 island show recombination activity and PhiYep-3 was not found in all O:3/4 strains of a small strain collection tested. Y. enterocolitica subsp. palearctica serobiotype O:5,27/3 strain Y527P was found to be closely related to all serobiotype O:3/4 strains, whereas the biotype 1A isolates have more mosaic-segmented genomes and share putative virulence genes both with serobiotypes O:8/1B and O:3/4, which implies their common descent. Besides the pYV virulence plasmid, biotype 1A strains lack classical virulence markers as the Ail adhesin, the YstA enterotoxin, and the virulence-associated protein C. Interestingly, there are no notable differences between the known virulence factors present in nosocomial and environmental strains, except the presence of a truncated Rtx toxin-like gene cluster and remnants of a P2-like prophage in the hospital serogroup O:5 isolate.
In recent years high-throughput experiments provided a vast amount of data from all areas of molecular biology, including genomics, transcriptomics, proteomics and metabolomics. Its analysis using bioinformatics methods has developed accordingly, towards a systematic approach to understand how genes and their resulting proteins give rise to biological form and function. They interact with each other and with other molecules in highly complex structures, which are explored in network biology. The in-depth knowledge of genes and proteins obtained from high-throughput experiments can be complemented by the architecture of molecular networks to gain a deeper understanding of biological processes. This thesis provides methods and statistical analyses for the integration of molecular data into biological networks and the identification of functional modules, as well as its application to distinct biological data. The integrated network approach is implemented as a software package, termed BioNet, for the statistical language R. The package includes the statistics for the integration of transcriptomic and functional data with biological networks, the scoring of nodes and edges of these networks as well as methods for subnetwork search and visualisation. The exact algorithm is extensively tested in a simulation study and outperforms existing heuristic methods for the calculation of this NP-hard problem in accuracy and robustness. The variability of the resulting solutions is assessed on perturbed data, mimicking random or biased factors that obscure the biological signal, generated for the integrated data and the network. An optimal, robust module can be calculated using a consensus approach, based on a resampling method. It summarizes optimally an ensemble of solutions in a robust consensus module with the estimated variability indicated by confidence values for the nodes and edges. The approach is subsequently applied to two gene expression data sets. The first application analyses gene expression data for acute lymphoblastic leukaemia (ALL) and differences between the subgroups with and without an oncogenic BCR/ABL gene fusion. In a second application gene expression and survival data from diffuse large B-cell lymphomas are examined. The identified modules include and extend already existing gene lists and signatures by further significant genes and their interactions. The most important novelty is that these genes are determined and visualised in the context of their interactions as a functional module and not as a list of independent and unrelated transcripts. In a third application the integrative network approach is used to trace changes in tardigrade metabolism to identify pathways responsible for their extreme resistance to environmental changes and endurance in an inactive tun state. For the first time a metabolic network approach is proposed to detect shifts in metabolic pathways, integrating transcriptome and metabolite data. Concluding, the presented integrated network approach is an adequate technique to unite high-throughput experimental data for single molecules and their intermolecular dependencies. It is flexible to apply on diverse data, ranging from gene expression changes over metabolite abundances to protein modifications in a combination with a suitable molecular network. The exact algorithm is accurate and robust in comparison to heuristic approaches and delivers an optimal, robust solution in form of a consensus module with confidence values. By the integration of diverse sources of information and a simultaneous inspection of a molecular event from different points of view, new and exhaustive insights into biological processes can be acquired.
Background
Neisseria meningitidis is a naturally transformable, facultative pathogen colonizing the human nasopharynx. Here, we analyze on a genome-wide level the impact of recombination on gene-complement diversity and virulence evolution in N. meningitidis. We combined comparative genome hybridization using microarrays (mCGH) and multilocus sequence typing (MLST) of 29 meningococcal isolates with computational comparison of a subset of seven meningococcal genome sequences.
Principal Findings
We found that lateral gene transfer of minimal mobile elements as well as prophages are major forces shaping meningococcal population structure. Extensive gene content comparison revealed novel associations of virulence with genetic elements besides the recently discovered meningococcal disease associated (MDA) island. In particular, we identified an association of virulence with a recently described canonical genomic island termed IHT-E and a differential distribution of genes encoding RTX toxin- and two-partner secretion systems among hyperinvasive and non-hyperinvasive lineages. By computationally screening also the core genome for signs of recombination, we provided evidence that about 40% of the meningococcal core genes are affected by recombination primarily within metabolic genes as well as genes involved in DNA replication and repair. By comparison with the results of previous mCGH studies, our data indicated that genetic structuring as revealed by mCGH is stable over time and highly similar for isolates from different geographic origins.
Conclusions
Recombination comprising lateral transfer of entire genes as well as homologous intragenic recombination has a profound impact on meningococcal population structure and genome composition. Our data support the hypothesis that meningococcal virulence is polygenic in nature and that differences in metabolism might contribute to virulence.
Background: Acquisition of information about food sources is essential for animals that forage collectively like social insects. Foragers deliver two commodities to the nest, food and information, and they may favor the delivery of one at the expenses of the other. We predict that information needs should be particularly high at the beginning of foraging: the decision to return faster to the nest will motivate a grass-cutting ant worker to reduce its loading time, and so to leave the source with a partial load. Principal Findings: Field results showed that at the initial foraging phase, most grass-cutting ant foragers (Acromyrmex heyeri) returned unladen to the nest, and experienced head-on encounters with outgoing workers. Ant encounters were not simply collisions in a probabilistic sense: outgoing workers contacted in average 70% of the returning foragers at the initial foraging phase, and only 20% at the established phase. At the initial foraging phase, workers cut fragments that were shorter, narrower, lighter and tenderer than those harvested at the established one. Foragers walked at the initial phase significantly faster than expected for the observed temperatures, yet not at the established phase. Moreover, when controlling for differences in the fragment-size carried, workers still walked faster at the initial phase. Despite the higher speed, their individual transport rate of vegetable tissue was lower than that of similarly-sized workers foraging later at the same patch. Conclusions/Significance: At the initial foraging phase, workers compromised their individual transport rates of material in order to return faster to the colony. We suggest that the observed flexible cutting rules and the selection of partial loads at the beginning of foraging are driven by the need of information transfer, crucial for the establishment and maintenance of a foraging process to monopolize a discovered resource.
Background: Successful cooperation depends on reliable identification of friends and foes. Social insects discriminate colony members (nestmates/friends) from foreign workers (non-nestmates/foes) by colony-specific, multi-component colony odors. Traditionally, complex processing in the brain has been regarded as crucial for colony recognition. Odor information is represented as spatial patterns of activity and processed in the primary olfactory neuropile, the antennal lobe (AL) of insects, which is analogous to the vertebrate olfactory bulb. Correlative evidence indicates that the spatial activity patterns reflect odor-quality, i.e., how an odor is perceived. For colony odors, alternatively, a sensory filter in the peripheral nervous system was suggested, causing specific anosmia to nestmate colony odors. Here, we investigate neuronal correlates of colony odors in the brain of a social insect to directly test whether they are anosmic to nestmate colony odors and whether spatial activity patterns in the AL can predict how odor qualities like ‘‘friend’’ and ‘‘foe’’ are attributed to colony odors. Methodology/Principal Findings: Using ant dummies that mimic natural conditions, we presented colony odors and investigated their neuronal representation in the ant Camponotus floridanus. Nestmate and non-nestmate colony odors elicited neuronal activity: In the periphery, we recorded sensory responses of olfactory receptor neurons (electroantennography), and in the brain, we measured colony odor specific spatial activity patterns in the AL (calcium imaging). Surprisingly, upon repeated stimulation with the same colony odor, spatial activity patterns were variable, and as variable as activity patterns elicited by different colony odors. Conclusions: Ants are not anosmic to nestmate colony odors. However, spatial activity patterns in the AL alone do not provide sufficient information for colony odor discrimination and this finding challenges the current notion of how odor quality is coded. Our result illustrates the enormous challenge for the nervous system to classify multi-component odors and indicates that other neuronal parameters, e.g., precise timing of neuronal activity, are likely necessary for attribution of odor quality to multi-component odors.
Background:
Chloroplast-encoded genes (matK and rbcL) have been formally proposed for use in DNA barcoding efforts targeting embryophytes. Extending such a protocol to chlorophytan green algae, though, is fraught with problems including non homology (matK) and heterogeneity that prevents the creation of a universal PCR toolkit (rbcL). Some have advocated the use of the nuclear-encoded, internal transcribed spacer two (ITS2) as an alternative to the traditional chloroplast markers. However, the ITS2 is broadly perceived to be insufficiently conserved or to be confounded by introgression or biparental inheritance patterns, precluding its broad use in phylogenetic reconstruction or as a DNA barcode. A growing body of evidence has shown that simultaneous analysis of nucleotide data with secondary structure information can overcome at least some of the limitations of ITS2. The goal of this investigation was to assess the feasibility of an automated, sequence-structure approach for analysis of IT2 data from a large sampling of phylum Chlorophyta.
Methodology/Principal Findings:
Sequences and secondary structures from 591 chlorophycean, 741 trebouxiophycean and 938 ulvophycean algae, all obtained from the ITS2 Database, were aligned using a sequence structure-specific scoring matrix. Phylogenetic relationships were reconstructed by Profile Neighbor-Joining coupled with a sequence structure-specific, general time reversible substitution model. Results from analyses of the ITS2 data were robust at multiple nodes and showed considerable congruence with results from published phylogenetic analyses.
Conclusions/Significance:
Our observations on the power of automated, sequence-structure analyses of ITS2 to reconstruct phylum-level phylogenies of the green algae validate this approach to assessing diversity for large sets of chlorophytan taxa. Moreover, our results indicate that objections to the use of ITS2 for DNA barcoding should be weighed against the utility of an automated, data analysis approach with demonstrated power to reconstruct evolutionary patterns for highly divergent lineages.
Here we describe a novel conditional mouse lung tumor model for investigation of the pathogenesis of human lung cancer. On the basis of the frequent involvement of the Ras-RAF-MEK-ERK signaling pathway in human non-small cell lung carcinoma (NSCLC), we have explored the target cell availability, reversibility, and cell type specificity of transformation by oncogenic C-RAF. Targeting expression to alveolar type II cells or to Clara cells, the two likely precursors of human NSCLC, revealed differential tumorigenicity between these cells. Whereas expression of oncogenic C-RAF in alveolar type II cells readily induced multifocal macroscopic lung tumors independent of the developmental state, few tumors with type II pneumocytes features and incomplete penetrance were found when targeted to Clara cells. Induced tumors did not progress and were strictly dependent on the initiating oncogene. Deinduction of mice resulted in tumor regression due to autophagy rather than apoptosis. Induction of autophagic cell death in regressing lung tumors suggests the use of autophagy enhancers as a treatment choice for patients with NSCLC.
Background: Patterns that arise from an ecological process can be driven as much from the landscape over which the process is run as it is by some intrinsic properties of the process itself. The disentanglement of these effects is aided if it possible to run models of the process over artificial landscapes with controllable spatial properties. A number of different methods for the generation of so-called ‘neutral landscapes’ have been developed to provide just such a tool. Of these methods, a particular class that simulate fractional Brownian motion have shown particular promise. The existing methods of simulating fractional Brownian motion suffer from a number of problems however: they are often not easily generalisable to an arbitrary number of dimensions and produce outputs that can exhibit some undesirable artefacts. Methodology: We describe here an updated algorithm for the generation of neutral landscapes by fractional Brownian motion that do not display such undesirable properties. Using Monte Carlo simulation we assess the anisotropic properties of landscapes generated using the new algorithm described in this paper and compare it against a popular benchmark algorithm. Conclusion/Significance: The results show that the existing algorithm creates landscapes with values strongly correlated in the diagonal direction and that the new algorithm presented here corrects this artefact. A number of extensions of the algorithm described here are also highlighted: we describe how the algorithm can be employed to generate landscapes that display different properties in different dimensions and how they can be combined with an environmental gradient to produce landscapes that combine environmental variation at the local and macro scales.