TY - JOUR A1 - Albrecht, Marco A1 - Sharma, Cynthia M. A1 - Dittrich, Marcus T. A1 - Müller, Tobias A1 - Reinhardt, Richard A1 - Vogel, Jörg A1 - Rudel, Thomas T1 - The Transcriptional Landscape of Chlamydia pneumoniae N2 - 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. KW - Chlamydia pneumoniae Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-69116 ER - TY - THES A1 - Batzilla, Julia T1 - Complete genome sequence of Yersinia enterocolitica subspecies palearctica serotype O:3: Identification of novel virulence-associated genes and evolutionary aspects T1 - Die komplette Genomsequenz von Yersinia enterocolitica Subspezies palearctica Serotyp O:3: Identifikation neuer Virulenz-assoziierter Gene und evolutionäre Aspekte N2 - Yersinia enterocolitica subsp. palearctica Serobiotyp O:3/4 ist verantwortlich für 80-90 % aller Yersiniosen beim Menschen in Deutschland und Europa. Y. enterocolitica Infektionen zeigen vielfältige Krankheitsbilder wie Gastroenteritis, Lymphadenitis und verschiedene Spätkomplikationen wie reaktive Arthritis. Das wichtigste Tierreservoir stellt das Hausschwein dar. Rohes Schweinefleisch in Metzgereien in Deutschland und anderen Regionen in Nord-Ost Europa ist häufig mit Yersinien kontaminiert (Bayern: 25 %). Da sich Serobiotyp O:3/4-Stämme geografisch und phylogenetisch deutlich von dem bisher sequenzierten Serobiotyp O:8/1B Stamm 8081 unterscheiden, wurde eine komplette Genomsequenzierung des europäischen Serobiotyp O:3/4 DSMZ Referenzstammes Y11 (aus Patientenstuhl isoliert) durchgeführt. Um einen genaueren Einblick in die Y. enterocolitica subsp. palearctica Gruppe zu erhalten, wurden zusätzlich zwei weitere Serobiotyp O:3/4 Isolate (Stamm Y8265, Patientenisolat, und Stamm Y5307, mit reaktiver Arthritis assoziiertes Patientenisolat), sowie ein eng verwandtes Y. enterocolitica subsp. palearctica Serobiotyp O:5,27/3 Isolat, Stamm Y527P, und zwei Biotyp 1A Isolate (ein Isolat nosokomialer Herkunft (Serogruppe O:5) und ein Umwelt-Isolat (O:36)) unvollständig sequenziert. Die nicht mausvirulenten Stämme wurden mit dem mausvirulenten Y. enterocolitica subsp. enterocolitica Serobiotyp O:8/1B Stamm 8081 verglichen, um genetische Besonderheiten von Stamm Y11 und der Y. enterocolitica subsp. palearctica Gruppe zu identifizieren. Besonderer Fokus lag hierbei auf dem pathogenen Potential von Stamm Y11, um neue potentielle Virulenz Faktoren und Fitnessfaktoren zu identifizieren, darunter vor allem solche, die eine Rolle bei der Wirtsspezifität von Serobiotyp O:3/4 spielen könnten. Y. enterocolitica subsp. palearctica Serobiotyp O:3/4 Stämmen fehlen einige der Charakteristika der mausvirulenten Gruppe Y. enterocolitica subsp. enterocolitica, beispielsweise die Yersiniabactin kodierende‚ High-Pathogenicity Island (HPI), das Yts1 Typ 2 Sekretionssystem und das Ysa Typ 3 Sekretionssystem. Die Serobiotyp O:3/4-Stämme haben ein anderes Repertoir von Virulenz Faktoren erworben, darunter Gene bzw. genomische Inseln für das Ysp Typ 3 Sekretionssystem, Rtx-ähnliches putatives Toxin, Insektizid-Toxine und ein funktionelles PTS System für die Aufnahme von N-acetyl-galactosamin, dem aga-Operon. Nach dem Transfer des aga-Operons in Y. enterocolitica subsp. enterocolitica O:8/1B konnte Wachstum auf N-acetyl-galactosamin festgestellt werden. Neben diesen Genen können möglicherweise auch zwei Prophagen (PhiYep-2 und PhiYep-3) und eine asn tRNA assoziierte genomische Insel (GIYep-01) zur Pathoadaptation von Y. enterocolitica subsp. palearctica Serobiotyp O:3/4 beitragen. Der PhiYep-3 Prophage und die GIYep-01 Insel weisen Rekombinationsaktivität auf, und PhiYep-3 wurde nicht in allen untersuchten Serobiotyp O:3/4 Stämmen gefunden. Y. enterocolitica subsp. palearctica Serobiotyp O:5,27/3 Stamm Y527P ist genetisch eng verwandt zu allen Serobiotyp O:3/4 Isolaten, wohingegen die Biotyp 1A Isolate ein mehr Mosaik-artiges Genom aufweisen und potentielle Virulenzgene sowohl mit Serobiotyp O:8/1B als auch O:3/4 gemeinsam haben, was einen gemeinsamen Vorfahren impliziert. Neben dem pYV Virulenz-Plasmid fehlen den Biotyp 1A Isolaten klassische Virulenzmarker wie das Ail Adhesin, das YstA Enterotoxin und das Virulenz-assoziierte Protein C (VapC). Interessanterweise gibt es keine beträchtlichen Unterschiede zwischen den bekannten Virulenzfaktoren des nosokomialen Isolats und dem Umweltisolat der Biotyp 1A-Gruppe, abgesehen von einem verkürzten Rtx Toxin-ähnlichem Genkluster und Überresten eines P2-ähnlichen Phagen im Krankenhausisolat der Serogruppe O:5. N2 - 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. KW - Genanalyse KW - Yersinia enterocolitica KW - Genomsequenzierung KW - Genome Sequencing Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-69668 N1 - Die praktische Durchführung der Arbeit wurde durch Hernn Prof. Dr. Dr. J. Heesemann am Max von Pettenkofer-Institut in München betreut. ER - TY - THES A1 - Beisser, Daniela T1 - Integrated functional analysis of biological networks T1 - Integrierte funktionelle Analyse biologischer Netzwerke N2 - 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. N2 - In den letzten Jahren haben Hochdurchsatz-Experimente gewaltige Mengen an molekularbiologischen Daten geliefert, angefangen mit dem ersten sequenzierten Genom von Haemophilus influenzae im Jahr 1995 und dem menschlichen Genom im Jahr 2001. Mittlerweile umfassen die resultierenden Daten neben der Genomik die Bereiche der Transkriptomik, Proteomik und Metabolomik. Die Analyse der Daten mithilfe von bioinformatischen Methoden hat sich entsprechend mit verändert und weiterentwickelt. Durch neuartige, systembiologische Ansätze versucht man zu verstehen, wie Gene und die aus ihnen resultierenden Proteine, biologische Formen und Funktionen entstehen lassen. Dabei interagieren sie miteinander und mit anderen Molekülen in hoch komplexen Strukturen, welche durch neue Ansätze der Netzwerkbiologie untersucht werden. Das tiefgreifende Wissen über einzelne Moleküle, verfügbar durch Hochdurchsatz-Technologien, kann komplementiert werden durch die Architektur und dynamischen Interaktionen molekularer Netzwerke und somit ein umfassenderes Verständnis biologischer Prozesse ermöglichen. Die vorliegende Dissertation stellt Methoden und statistische Analysen zur Integration molekularer Daten in biologische Netzwerke, Identifikation robuster, funktionaler Subnetzwerke sowie die Anwendung auf verschiedenste biologische Daten vor. Der integrative Netzwerkansatz wurde als ein Softwarepaket, BioNet, in der statistischen Programmiersprache R implementiert. Das Paket beinhaltet statistische Verfahren zur Integration transkriptomischer und funktionaler Daten, die Gewichtung von Knoten und Kanten in biologischen Netzwerken sowie Methoden zur Suche signifikanter Bereiche, Module, und deren Visualisierung. Der exakte Algorithmus wird ausführlich in einer Simulationsstudie getestet und übertrifft heuristische Methoden zur Lösung dieses NP-vollständigen Problems in Genauigkeit und Robustheit. Die Variabilität der resultierenden Lösungen wird bestimmt anhand von gestörten integrierten Daten und gestörten Netzwerken, welche zufällige und verzerrende Einflüsse darstellen, die die Daten verrauschen. Ein optimales, robustes Modul kann durch einen Konsensusansatz bestimmt werden. Basierend auf einer wiederholten Stichprobennahme der integrierten Daten, wird ein Ensemble von Lösungen erstellt, aus welchem sich das robuste und optimale Konsensusmodul berechnen lässt. Zusätzlich erlaubt dieser Ansatz eine Schätzung der Variabilität des Konsensusmoduls und die Berechnung von Konfidenzwerte für Knoten und Kanten. Der Ansatz wird anschließend auf zwei Genexpressionsdatensätze angewandt. Die erste Anwendung untersucht Genexpressionsdaten für akute lymphoblastische Leukämie (ALL) und analysiert Unterschiede in Subgruppen mit und ohne BRC/ABL Genfusion. Die zweite Anwendung wertet Genexpressions- und Lebenszeitdaten für diffuse großzellige B-Zell Lymphome (DLBCL) aus, beruhend auf molekularen Unterschieden zwischen zwei DLBCL Subtypen mit unterschiedlicher Malignität. In einer dritten Anwendung wird der integrierte Netzwerkansatz benutzt, um Veränderungen im Metabolismus von Tardigraden aufzuspüren und Signalwege zu identifizieren, welche für die extreme Anpassungsfähigkeit an wechselnde Umweltbedingungen und Überdauerung in einem inaktiven Tönnchenstadium verantwortlich sind. Zum ersten Mal wird dafür ein metabolischer Netzwerkansatz vorgeschlagen, der metabolische Veränderungen durch die Integration von metabolischen und transkriptomischen Daten bestimmt. Abschließend ist zu bemerken, dass die präsentierte integrierte Netzwerkanalyse eine adäquate Technik ist, um experimentelle Daten aus Hochdurchsatz-Methoden, die spezialisiert auf eine Molekülart sind, mit ihren intermolekularen Wechselwirkungen und Abhängigkeiten in Verbindung zu bringen. Sie ist flexibel in der Anwendung auf verschiedenste Daten, von der Analyse von Genexpressionsveränderungen, über Metabolitvorkommen bis zu Proteinmodifikationen, in Kombination mit einem geeigneten molekularen Netzwerk. Der exakte Algorithmus ist akkurat und robust in Vergleich zu heuristischen Methoden und liefert eine optimale, robuste Lösung in Form eines Konsensusmoduls mit zugewiesenen Konfidenzwerten. Durch die Integration verschiedenster Informationsquellen und gleichzeitige Betrachtung eines biologischen Ereignisses von diversen Blickwinkeln aus, können neue und vollständigere Erkenntnisse physiologischer Prozesse gewonnen werden. KW - Bioinformatik KW - differenzielle Genexpression KW - Bioinformatik KW - Netzwerkanalyse KW - differenzielle Genexpression KW - funktionelle Module KW - bioinformatics KW - networkanalysis KW - differential geneexpression KW - functional modules Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-70150 ER - TY - JOUR A1 - Biju, Joseph A1 - Schwarz, Roland A1 - Linke, Burkhard A1 - Blom, Jochen A1 - Becker, Anke A1 - Claus, Heike A1 - Goesmann, Alexander A1 - Frosch, Matthias A1 - Müller, Tobias A1 - Vogel, Ulrich A1 - Schoen, Christoph T1 - Virulence Evolution of the Human Pathogen Neisseria meningitidis by Recombination in the Core and Accessory Genome JF - PLoS One N2 - 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. KW - population genetics KW - DNA recombination KW - meningococcal disease KW - recombinant proteins KW - genomic databases KW - comparative genomics KW - neisseria meningitidis KW - homologous recombination Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-137960 VL - 6 IS - 4 ER - TY - JOUR A1 - Bollazzi, Martin A1 - Roces, Flavio T1 - Information Needs at the Beginning of Foraging: Grass-Cutting Ants Trade Off Load Size for a Faster Return to the Nest N2 - 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. KW - Blattschneiderameisen Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-68940 ER - TY - JOUR A1 - Brandstätter, Andreas A1 - Rössler, W. A1 - Kleineidam, C. J. T1 - Friends and foes from an ant brain's point of view - neuronal correlates of colony odors in a social insect N2 - 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. KW - Ameisen KW - Geruch Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-69046 ER - TY - JOUR A1 - Buchheim, Mark A. A1 - Keller, Alexander A1 - Koetschan, Christian A1 - Förster, Frank A1 - Merget, Benjamin A1 - Wolf, Matthias T1 - Internal Transcribed Spacer 2 (nu ITS2 rRNA) Sequence-Structure Phylogenetics: Towards an Automated Reconstruction of the Green Algal Tree of Life JF - PLoS ONE N2 - 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. KW - RBCL Gene-sequences KW - Colonial volvocales chlorophyta KW - 26S RDNA Data KW - Land plants KW - Molecular systematics KW - Secondary structure KW - Nuclear RDNA KW - DNA KW - Barcodes KW - Dasycladales chlorophyta KW - Profile distances Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-140866 VL - 6 IS - 2 ER - TY - JOUR A1 - Ceteci, Fatih A1 - Xu, Jiajia A1 - Ceteci, Semra A1 - Zanucco, Emanuele A1 - Thakur, Chitra A1 - Rapp, Ulf R. T1 - Conditional Expression of Oncogenic C-RAF in Mouse Pulmonary Epithelial Cells Reveals Differential Tumorigenesis and Induction of Autophagy Leading to Tumor Regression JF - Neoplasia N2 - 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. KW - Human lung-cancer KW - K-RAS KW - Induced senescence KW - Gene-expression KW - In-vivo KW - Kinase pathway KW - P53 KW - Activation KW - Model KW - Adenocarcinomas Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-134347 VL - 13 IS - 11 ER - TY - JOUR A1 - Chipperfield, Joseph D. A1 - Dytham, Calvin A1 - Hovestadt, Thomas T1 - An Updated Algorithm for the Generation of Neutral Landscapes by Spectral Synthesis N2 - 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. KW - Landschaft KW - Monte-Carlo-Simulation KW - Brownsche Bewegung Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-68938 ER - TY - JOUR A1 - Cruse, Holk A1 - Wehner, Rüdiger T1 - No Need for a Cognitive Map: Decentralized Memory for Insect Navigation JF - PLoS computational biology N2 - In many animals the ability to navigate over long distances is an important prerequisite for foraging. For example, it is widely accepted that desert ants and honey bees, but also mammals, use path integration for finding the way back to their home site. It is however a matter of a long standing debate whether animals in addition are able to acquire and use so called cognitive maps. Such a 'map', a global spatial representation of the foraging area, is generally assumed to allow the animal to find shortcuts between two sites although the direct connection has never been travelled before. Using the artificial neural network approach, here we develop an artificial memory system which is based on path integration and various landmark guidance mechanisms ( a bank of individual and independent landmark-defined memory elements). Activation of the individual memory elements depends on a separate motivation network and an, in part, asymmetrical lateral inhibition network. The information concerning the absolute position of the agent is present, but resides in a separate memory that can only be used by the path integration subsystem to control the behaviour, but cannot be used for computational purposes with other memory elements of the system. Thus, in this simulation there is no neural basis of a cognitive map. Nevertheless, an agent controlled by this network is able to accomplish various navigational tasks known from ants and bees and often discussed as being dependent on a cognitive map. For example, map-like behaviour as observed in honey bees arises as an emergent property from a decentralized system. This behaviour thus can be explained without referring to the assumption that a cognitive map, a coherent representation of foraging space, must exist. We hypothesize that the proposed network essentially resides in the mushroom bodies of the insect brain. KW - Recurrent neural-networks KW - Desert ant navigation KW - Path-integraton KW - Cataglyphis-fortis KW - Mushroom bodies KW - Melophorus-bagoti KW - Systematic search KW - Central complex KW - Honey-bees KW - Behavior Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-141184 VL - 7 IS - 3 ER -