TY - JOUR A1 - Krumbholz, Julia A1 - Ishida, Keishi A1 - Baunach, Martin A1 - Teikari, Jonna A1 - Rose, Magdalena M. A1 - Sasso, Severin A1 - Hertweck, Christian A1 - Dittmann, Elke T1 - Deciphering chemical mediators regulating specialized metabolism in a symbiotic cyanobacterium JF - Angewandte Chemie : a journal of the Gesellschaft Deutscher Chemiker. International edition N2 - Genomes of cyanobacteria feature a variety of cryptic biosynthetic pathways for complex natural products, but the peculiarities limiting the discovery and exploitation of the metabolic dark matter are not well understood. Here we describe the discovery of two cell density-dependent chemical mediators, nostoclide and nostovalerolactone, in the symbiotic model strain Nostoc punctiforme, and demonstrate their pronounced impact on the regulation of specialized metabolism. Through transcriptional, bioinformatic and labeling studies we assigned two adjacent biosynthetic gene clusters to the biosynthesis of the two polyketide mediators. Our findings provide insight into the orchestration of specialized metabolite production and give lessons for the genomic mining and high-titer production of cyanobacterial bioactive compounds. KW - Biosynthesis KW - Cyanobacteria KW - Genomic Mining KW - Quorum Sensing KW - Specialized KW - Metabolism Y1 - 2022 U6 - https://doi.org/10.1002/anie.202204545 SN - 1433-7851 SN - 1521-3773 PB - Wiley-VCH CY - Weinheim ER - TY - JOUR A1 - Müller, S. M. A1 - Finke, Hannah A1 - Ebert, Franziska A1 - Kopp, Johannes Florian A1 - Schumacher, Fabian A1 - Kleuser, Burkhard A1 - Francesconi, Kevin A. A1 - Raber, G. A1 - Schwerdtle, Tanja T1 - Arsenic-containing hydrocarbons BT - effects on gene expression, epigenetics, and biotransformation in HepG2 cells JF - Archives of toxicology : official journal of EUROTOX N2 - Arsenic-containing hydrocarbons (AsHCs), a subgroup of arsenolipids found in fish and algae, elicit substantial toxic effects in various human cell lines and have a considerable impact on cellular energy levels. The underlying mode of action, however, is still unknown. The present study analyzes the effects of two AsHCs (AsHC 332 and AsHC 360) on the expression of 44 genes covering DNA repair, stress response, cell death, autophagy, and epigenetics via RT-qPCR in human liver (HepG2) cells. Both AsHCs affected the gene expression, but to different extents. After treatment with AsHC 360, flap structure-specific endonuclease 1 (FEN1) as well as xeroderma pigmentosum group A complementing protein (XPA) and (cytosine-5)-methyltransferase 3A (DNMT3A) showed time- and concentration-dependent alterations in gene expression, thereby indicating an impact on genomic stability. In the subsequent analysis of epigenetic markers, within 72 h, neither AsHC 332 nor AsHC 360 showed an impact on the global DNA methylation level, whereas incubation with AsHC 360 increased the global DNA hydroxymethylation level. Analysis of cell extracts and cell media by HPLC-mass spectrometry revealed that both AsHCs were considerably biotransformed. The identified metabolites include not only the respective thioxo-analogs of the two AsHCs, but also several arsenic-containing fatty acids and fatty alcohols, contributing to our knowledge of biotransformation mechanisms of arsenolipids. KW - Arsenolipids KW - Gene expression KW - Arsenic-containing hydrocarbons KW - Global DNA methylation KW - Arsenic speciation KW - Metabolism Y1 - 2018 U6 - https://doi.org/10.1007/s00204-018-2194-z SN - 0340-5761 SN - 1432-0738 VL - 92 IS - 5 SP - 1751 EP - 1765 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Montiglio, Pierre-Olivier A1 - Dammhahn, Melanie A1 - Messier, Gabrielle Dubuc A1 - Reale, Denis T1 - The pace-of-life syndrome revisited BT - the role of ecological conditions and natural history on the slow-fast continuum JF - Behavioral ecology and sociobiology N2 - The pace-of-life syndrome (i.e., POLS) hypothesis posits that behavioral and physiological traits mediate the trade-off between current and future reproduction. This hypothesis predicts that life history, behavioral, and physiological traits will covary under clearly defined conditions. Empirical tests are equivocal and suggest that the conditions necessary for the POLS to emerge are not always met. We nuance and expand the POLS hypothesis to consider alternative relationships among behavior, physiology, and life history. These relationships will vary with the nature of predation risk, the challenges posed by resource acquisition, and the energy management strategies of organisms. We also discuss how the plastic response of behavior, physiology, and life history to changes in ecological conditions and variation in resource acquisition among individuals determine our ability to detect a fast-slow pace of life in the first place or associations among these traits. Future empirical studies will provide most insights on the coevolution among behavior, physiology, and life history by investigating these traits both at the genetic and phenotypic levels in varying types of predation regimes and levels of resource abundance. KW - Behavior KW - Immunity KW - Life history strategies KW - Metabolism KW - Personality KW - Trait interaction Y1 - 2018 U6 - https://doi.org/10.1007/s00265-018-2526-2 SN - 0340-5443 SN - 1432-0762 VL - 72 IS - 7 PB - Springer CY - New York ER - TY - JOUR A1 - Ebert, Franziska A1 - Meyer, Sören A1 - Leffers, Larissa A1 - Raber, Georg A1 - Francesconi, Kevin A. A1 - Schwerdtle, Tanja T1 - Toxicological characterisation of a thio-arsenosugar-glycerol in human cells JF - Journal of trace elements in medicine and biology N2 - Arsenosugars are water-soluble arsenic species predominant in marine algae and other seafood including mussels and oysters. They typically occur at levels ranging from 2 to 50 mg arsenic/kg dry weight. Most of the arsenosugars contain arsenic as a dimethylarsinoyl group (Me2As(O)-), commonly referred to as the oxo forms, but thio analogues have also been identified in marine organisms and as metabolic products of oxo-arsenosugars. So far, no data regarding toxicity and toxicokinetics of thio-arsenosugars are available. This in vitro-based study indicates that thio-dimethylarsenosugar-glycerol exerts neither pronounced cytotoxicity nor genotoxicity even though this arsenical was bioavailable to human hepatic (HepG2) and urothelial (UROtsa) cells. Experiments with the Caco-2 intestinal barrier model mimicking human absorption indicate for the thio-arsenosugar-glycerol higher intestinal bioavailability as compared to the oxo-arsenosugars. Nevertheless, absorption estimates were much lower in comparison to other arsenicals including arsenite and arsenic-containing hydrocarbons. Arsenic speciation in cell lysates revealed that HepG2 cells are able to metabolise the thio-arsenosugar-glycerol to some extent to dimethylarsinic acid (DMA). These first in vitro data cannot fully exclude risks to human health related to the presence of thio-arsenosugars in food. (C) 2016 Elsevier GmbH. All rights reserved. KW - Arsenic KW - Thio-arsenosugar-glycerol KW - Toxicity KW - Toxicokinetics KW - Genotoxicity KW - Metabolism Y1 - 2016 U6 - https://doi.org/10.1016/j.jtemb.2016.04.013 SN - 0946-672X VL - 38 SP - 150 EP - 156 PB - Springer Publishing Company CY - Jena ER - TY - JOUR A1 - Hortobagyi, Tibor A1 - Lesinski, Melanie A1 - Fernandez-del-Olmo, Miguel A1 - Granacher, Urs T1 - Small and inconsistent effects of whole body vibration on athletic performance: a systematic review and meta-analysis JF - European journal of applied physiology N2 - We quantified the acute and chronic effects of whole body vibration on athletic performance or its proxy measures in competitive and/or elite athletes. Systematic literature review and meta-analysis. Whole body vibration combined with exercise had an overall 0.3 % acute effect on maximal voluntary leg force (-6.4 %, effect size = -0.43, 1 study), leg power (4.7 %, weighted mean effect size = 0.30, 6 studies), flexibility (4.6 %, effect size = -0.12 to 0.22, 2 studies), and athletic performance (-1.9 %, weighted mean effect size = 0.26, 6 studies) in 191 (103 male, 88 female) athletes representing eight sports (overall effect size = 0.28). Whole body vibration combined with exercise had an overall 10.2 % chronic effect on maximal voluntary leg force (14.6 %, weighted mean effect size = 0.44, 5 studies), leg power (10.7 %, weighted mean effect size = 0.42, 9 studies), flexibility (16.5 %, effect size = 0.57 to 0.61, 2 studies), and athletic performance (-1.2 %, weighted mean effect size = 0.45, 5 studies) in 437 (169 male, 268 female) athletes (overall effect size = 0.44). Whole body vibration has small and inconsistent acute and chronic effects on athletic performance in competitive and/or elite athletes. These findings lead to the hypothesis that neuromuscular adaptive processes following whole body vibration are not specific enough to enhance athletic performance. Thus, other types of exercise programs (e.g., resistance training) are recommended if the goal is to improve athletic performance. KW - Exercise KW - Muscle KW - Force KW - Power KW - Skill KW - Reflex KW - Endocrine KW - Metabolism Y1 - 2015 U6 - https://doi.org/10.1007/s00421-015-3194-9 SN - 1439-6319 SN - 1439-6327 VL - 115 IS - 8 SP - 1605 EP - 1625 PB - Springer CY - New York ER - TY - JOUR A1 - Köhler, Yvonne A1 - Luther, Eva Maria A1 - Meyer, Sören A1 - Schwerdtle, Tanja A1 - Dringen, Ralf T1 - Uptake and toxicity of arsenite and arsenate in cultured brain astrocytes JF - Journal of trace elements in medicine and biology N2 - Inorganic arsenicals are environmental toxins that have been connected with neuropathies and impaired cognitive functions. To investigate whether such substances accumulate in brain astrocytes and affect their viability and glutathione metabolism, we have exposed cultured primary astrocytes to arsenite or arsenate. Both arsenicals compromised the cell viability of astrocytes in a time- and concentration-dependent manner. However, the early onset of cell toxicity in arsenite-treated astrocytes revealed the higher toxic potential of arsenite compared with arsenate. The concentrations of arsenite and arsenate that caused within 24 h half-maximal release of the cytosolic enzyme lactate dehydrogenase were around 0.3 mM and 10 mM, respectively. The cellular arsenic contents of astrocytes increased rapidly upon exposure to arsenite or arsenate and reached after 4 h of incubation almost constant steady state levels. These levels were about 3-times higher in astrocytes that had been exposed to a given concentration of arsenite compared with the respective arsenate condition. Analysis of the intracellular arsenic species revealed that almost exclusively arsenite was present in viable astrocytes that had been exposed to either arsenate or arsenite. The emerging toxicity of arsenite 4 h after exposure was accompanied by a loss in cellular total glutathione and by an increase in the cellular glutathione disulfide content. These data suggest that the high arsenite content of astrocytes that had been exposed to inorganic arsenicals causes an increase in the ratio of glutathione disulfide to glutathione which contributes to the toxic potential of these substances. KW - Arsenic KW - Astrocytes KW - GSH KW - Metabolism KW - Toxicity Y1 - 2014 U6 - https://doi.org/10.1016/j.jtemb.2014.04.007 SN - 0946-672X VL - 28 IS - 3 SP - 328 EP - 337 PB - Elsevier CY - Jena ER - TY - THES A1 - Schütte, Moritz T1 - Evolutionary fingerprints in genome-scale networks T1 - Evolutionäre Spuren in genomskaligen Netzwerken N2 - Mathematical modeling of biological phenomena has experienced increasing interest since new high-throughput technologies give access to growing amounts of molecular data. These modeling approaches are especially able to test hypotheses which are not yet experimentally accessible or guide an experimental setup. One particular attempt investigates the evolutionary dynamics responsible for today's composition of organisms. Computer simulations either propose an evolutionary mechanism and thus reproduce a recent finding or rebuild an evolutionary process in order to learn about its mechanism. The quest for evolutionary fingerprints in metabolic and gene-coexpression networks is the central topic of this cumulative thesis based on four published articles. An understanding of the actual origin of life will probably remain an insoluble problem. However, one can argue that after a first simple metabolism has evolved, the further evolution of metabolism occurred in parallel with the evolution of the sequences of the catalyzing enzymes. Indications of such a coevolution can be found when correlating the change in sequence between two enzymes with their distance on the metabolic network which is obtained from the KEGG database. We observe that there exists a small but significant correlation primarily on nearest neighbors. This indicates that enzymes catalyzing subsequent reactions tend to be descended from the same precursor. Since this correlation is relatively small one can at least assume that, if new enzymes are no "genetic children" of the previous enzymes, they certainly be descended from any of the already existing ones. Following this hypothesis, we introduce a model of enzyme-pathway coevolution. By iteratively adding enzymes, this model explores the metabolic network in a manner similar to diffusion. With implementation of an Gillespie-like algorithm we are able to introduce a tunable parameter that controls the weight of sequence similarity when choosing a new enzyme. Furthermore, this method also defines a time difference between successive evolutionary innovations in terms of a new enzyme. Overall, these simulations generate putative time-courses of the evolutionary walk on the metabolic network. By a time-series analysis, we find that the acquisition of new enzymes appears in bursts which are pronounced when the influence of the sequence similarity is higher. This behavior strongly resembles punctuated equilibrium which denotes the observation that new species tend to appear in bursts as well rather than in a gradual manner. Thus, our model helps to establish a better understanding of punctuated equilibrium giving a potential description at molecular level. From the time-courses we also extract a tentative order of new enzymes, metabolites, and even organisms. The consistence of this order with previous findings provides evidence for the validity of our approach. While the sequence of a gene is actually subject to mutations, its expression profile might also indirectly change through the evolutionary events in the cellular interplay. Gene coexpression data is simply accessible by microarray experiments and commonly illustrated using coexpression networks where genes are nodes and get linked once they show a significant coexpression. Since the large number of genes makes an illustration of the entire coexpression network difficult, clustering helps to show the network on a metalevel. Various clustering techniques already exist. However, we introduce a novel one which maintains control of the cluster sizes and thus assures proper visual inspection. An application of the method on Arabidopsis thaliana reveals that genes causing a severe phenotype often show a functional uniqueness in their network vicinity. This leads to 20 genes of so far unknown phenotype which are however suggested to be essential for plant growth. Of these, six indeed provoke such a severe phenotype, shown by mutant analysis. By an inspection of the degree distribution of the A.thaliana coexpression network, we identified two characteristics. The distribution deviates from the frequently observed power-law by a sharp truncation which follows after an over-representation of highly connected nodes. For a better understanding, we developed an evolutionary model which mimics the growth of a coexpression network by gene duplication which underlies a strong selection criterion, and slight mutational changes in the expression profile. Despite the simplicity of our assumption, we can reproduce the observed properties in A.thaliana as well as in E.coli and S.cerevisiae. The over-representation of high-degree nodes could be identified with mutually well connected genes of similar functional families: zinc fingers (PF00096), flagella, and ribosomes respectively. In conclusion, these four manuscripts demonstrate the usefulness of mathematical models and statistical tools as a source of new biological insight. While the clustering approach of gene coexpression data leads to the phenotypic characterization of so far unknown genes and thus supports genome annotation, our model approaches offer explanations for observed properties of the coexpression network and furthermore substantiate punctuated equilibrium as an evolutionary process by a deeper understanding of an underlying molecular mechanism. N2 - Die biologische Zelle ist ein sehr kompliziertes Gebilde. Bei ihrer Betrachtung gilt es, das Zusammenspiel von Tausenden bis Millionen von Genen, Regulatoren, Proteinen oder Molekülen zu beschreiben und zu verstehen. Durch enorme Verbesserungen experimenteller Messgeräte gelingt es mittlerweile allerdings in geringer Zeit enorme Datenmengen zu messen, seien dies z.B. die Entschlüsselung eines Genoms oder die Konzentrationen der Moleküle in einer Zelle. Die Systembiologie nimmt sich dem Problem an, aus diesem Datenmeer ein quantitatives Verständnis für die Gesamtheit der Wechselwirkungen in der Zelle zu entwickeln. Dabei stellt die mathematische Modellierung und computergestützte Analyse ein eminent wichtiges Werkzeug dar, lassen sich doch am Computer in kurzer Zeit eine Vielzahl von Fällen testen und daraus Hypothesen generieren, die experimentell verifiziert werden können. Diese Doktorarbeit beschäftigt sich damit, wie durch mathematische Modellierung Rückschlüsse auf die Evolution und deren Mechanismen geschlossen werden können. Dabei besteht die Arbeit aus zwei Teilen. Zum Einen wurde ein Modell entwickelt, dass die Evolution des Stoffwechsels nachbaut. Der zweite Teil beschäftigt sich mit der Analyse von Genexpressionsdaten, d.h. der Stärke mit der ein bestimmtes Gen in ein Protein umgewandelt, "exprimiert", wird. Der Stoffwechsel bezeichnet die Gesamtheit der chemischen Vorgänge in einem Organismus; zum Einen werden Nahrungsstoffe für den Organismus verwertbar zerlegt, zum Anderen aber auch neue Stoffe aufgebaut. Da für nahezu jede chemische Reaktion ein katalysierendes Enzym benötigt wird, ist davon auszugehen, dass sich der Stoffwechsel parallel zu den Enzymen entwickelt hat. Auf dieser Annahme basiert das entwickelte Modell zur Enzyme-Stoffwechsel-Koevolution. Von einer Anfangsmenge von Enzymen und Molekülen ausgehend, die etwa in einer primitiven Atmosphäre vorgekommen sind, werden sukzessive Enzyme und die nun katalysierbaren Reaktionen hinzugefügt, wodurch die Stoffwechselkapazität anwächst. Die Auswahl eines neuen Enzyms geschieht dabei in Abhängigkeit von der Ähnlichkeit mit bereits vorhandenen und ist so an den evolutionären Vorgang der Mutation angelehnt: je ähnlicher ein neues Enzym zu den vorhandenen ist, desto schneller kann es hinzugefügt werden. Dieser Vorgang wird wiederholt, bis der Stoffwechsel die heutige Form angenommen hat. Interessant ist vor allem der zeitliche Verlauf dieser Evolution, der mittels einer Zeitreihenanalyse untersucht wird. Dabei zeigt sich, dass neue Enzyme gebündelt in Gruppen kurzer Zeitfolge auftreten, gefolgt von Intervallen relativer Stille. Dasselbe Phänomen kennt man von der Evolution neuer Arten, die ebenfalls gebündelt auftreten, und wird Punktualismus genannt. Diese Arbeit liefert somit ein besseres Verständnis dieses Phänomens durch eine Beschreibung auf molekularer Ebene. Im zweiten Projekt werden Genexpressionsdaten von Pflanzen analysiert. Einerseits geschieht dies mit einem eigens entwickelten Cluster-Algorithmus. Hier läßt sich beobachten, dass Gene mit einer ähnlichen Funktion oft auch ein ähnliches Expressionsmuster aufweisen. Das Clustering liefert einige Genkandidaten, deren Funktion bisher unbekannt war, von denen aber nun vermutet werden konnte, dass sie enorm wichtig für das Wachstum der Pflanze sind. Durch Experimente von Pflanzen mit und ohne diese Gene zeigte sich, dass sechs neuen Genen dieses essentielle Erscheinungsbild zugeordnet werden kann. Weiterhin wurden Netzwerke der Genexpressionsdaten einer Pflanze, eines Pilzes und eines Bakteriums untersucht. In diesen Netzwerken werden zwei Gene verbunden, falls sie ein sehr ähnliches Expressionsprofil aufweisen. Nun zeigten diese Netzwerke sehr ähnliche und charakteristische Eigenschaften auf. Im Rahmen dieser Arbeit wurde daher ein weiteres evolutionäres Modell entwickelt, das die Expressionsprofile anhand von Duplikation, Mutation und Selektion beschreibt. Obwohl das Modell auf sehr simplen Eigenschaften beruht, spiegelt es die beobachteten Eigenschaften sehr gut wider, und es läßt sich der Schluss ziehen, dass diese als Resultat der Evolution betrachtet werden können. Die Ergebnisse dieser Arbeiten sind als Doktorarbeit in kumulativer Form bestehend aus vier veröffentlichten Artikeln vereinigt. KW - Systembiologie KW - Modellierung KW - Evolution KW - Stoffwechsel KW - Gen-Koexpression KW - Systems Biology KW - Modeling KW - Evolution KW - Metabolism KW - Gene co-expression Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-57483 ER - TY - THES A1 - Castro Marin, Inmaculada T1 - Nitrate: metabolism and development T1 - Charakterisierung der Glutamatdehydrogenase-Familie, einem Schlüsselenzym der Kohlenstoff-Stickstoffinteraktion von Metaboliten und Studie der Regulierung der Blütezeit durch Stickstoff BT - characterization of the glutamate dehydrogenase (GDH) family, an enzyme at the cross-roads of carbon-nitrogen interaction metabolites and study of the regulation of flowering by nitrogen N2 - The major aim of this thesis was to study the effect of nitrate on primary metabolism and in development of the model plant Arabidopsis thaliana. The present work has two separate topics. First, to investigate the GDH family, a small gene family at the interface between nitrogen and carbon metabolisms. Second, to investigate the mechanisms whereby nitrogen is regulating the transition to flowering time in Arabidopsis thaliana. To gain more insights into the regulation of primary metabolism by the functional characterization of the glutamate dehydrogenase (GDH) family, an enzyme putatively involved in the metabolism of amino acids and thus suggested to play different and essential roles in carbon and nitrogen metabolism in plants, knock out mutants and transgenic plants carrying RNA interference construct were generated and characterized. The effect of silencing GDH on carbon and nitrogen metabolisms was investigated, especially the level of carbohydrates and the amino acid pool were further analysed. It has been shown that GDH expression is regulated by light and/or sugar status therefore, phenotypic and metabolic analysis were developed in plants grown at different points of the diurnal rhythm and in response to an extended night period. In addition, we are interested in the effect of nutrient availability in the transition from vegetative growth to flowering and especially in nitrate as a metabolite that triggers widespread and coordinated changes in metabolism and development. Nutrient availability has a dramatic effect on flowering time, with a marked delay of flowering when nitrate is supplied (Stitt, 1999). The use of different mutants and transgenic plants impaired in flowering signalling pathways was crucial to evaluate the impact of different nitrate concentrations on flowering time and to better understand the interaction of nitrate-dependent signals with other main flowering signalling pathways. Plants were grown on glutamine as a constitutive source of nitrogen, and the nitrate supply varied. Low nitrate led to earlier flowering. The response to nitrate is accentuated in short days and in the CONSTANS deficient co2 mutant, whereas long days or overexpression of CONSTANS overrides the nitrate response. These results indicate that nitrates acts downstream of the known flowering signalling pathways for photoperiod, autonomy, vernalization and gibberellic acid. Global analyses of gene expression of two independent flowering systems, a light impaired mutant (co2tt4) and a constitutive over-expresser of the potent repressor of flowering (35S::FLC), were to be investigated under two different concentrations of nitrate in order to identify candidate genes that may be involved in the regulation of flowering time by nitrate. N2 - Das Hauptziel dieser Doktorarbeit war die Untersuchung des Effekts von Stickstoff auf den Primärmetabolisms und auf die Entwicklung der Modellpflanze Arabidopsis thaliana. Die vorliegende Arbeit hat zwei Unterthemen: Auf der einen Seite wurde die GDH Familie untersucht, eine kleine Genfamilie an der Schnittstelle zwischen Stick –und Kohlenstoffmetabolismus. Auf der anderen Seite wurde der Mechanismus, bei dem Stickstoff die Blütezeit in Arabidopsis thaliana kontrolliert, untersucht. Um einen tieferen Einblick in die Regulierung des Primärmetabolismus zu erhalten, wurde eine funktionelle Charakterisierung der Glutamatdehydrogenase-Familie (GDH) mit Hilfe von knock-out Mutanten und transgenen Pflanzen, die ein RNA Interferenzkonstrukt tragen, durchgeführt. GDH ist höchstwahrscheinlich am Aminosäuremetabolismus beteiligt, wobei vermutet wird, dass es verschiedene wichtige Aufgaben im Pflanzenkohlen –und stickstoffmetabolismus übernimmt. Dabei wurde der Effekt des GDH Silencing auf den Kohlen- sowie Stickstoffmetabolismus untersucht und insbesondere die Anteile von Kohlenhydraten und Aminosäuren eingehend analysiert. In vorhergehenden Studien zeigte sich, dass die GDH-Expression durch Licht und/oder die Zuckerverfügbarkeit reguliert wird. Deshalb wurden phenotypische und metabolische Analysen an Pflanzen entwickelt, die zu verschiedenen Zeitpunkten des diurnalen Rhythmus und nach einer längeren Nachtperiode gezüchtet wurden. Ausserdem interesssiert uns der Effekt der Nährstoffverfügbarkeit im Übergang vom vegetativen Wachstum zur Blüte, und vor allen Dingen Nitrat als Metabolit, welches weitreichende und koordinierte Veränderungen im Metabolismus und in der Entwicklung hervorruft. Die Nährstoffverfügbarkeit hat einen dramatischen Effekt auf die Blütezeit, insbesondere führt eine Nitratzugabe zu einer deutlichen Verzögerung der Blüte (Stitt, 1999). Der Einsatz von verschiedenen Mutanten und transgenen Pflanzen, die eine Blockade im Blüte-Signalweg aufwiesen, war ausschlaggebend, um den Einfluss von unterschiedlichen Nitratkonzentrationen auf die Blütezeit zu beurteilen, und um zu einem besserem Verständnis des Zusammenspiels von nitratabhängigen Signalen und anderen Blüte-Signalwegen zu gelangen. Die Pflanzen wuchsen auf Glutamin, das als konstitutive Stickstoffquelle diente, wobei die Nitratversorgung variierte. Niedriger Nitratanteil führte zu einer früheren Blüte. Bei kurzer Tageslänge und bei CONSTANS defizienten Mutanten (co2) ist die Reaktion auf Nitratzugabe erhöht, wohingegen bei fortgeschrittener Tageslänge oder bei Überexpression von CONSTANS die Reaktion auf Nitrat unterbleibt. Diese Ergebnisse verdeutlichen, dass Nitrat unterhalb der bekannten Blüte-Signalwege für Photoperiode, Autonomie, Vernalisierung und Gibberelinsäure fungiert. Globale Expressionsanalysen von zwei unterschiedlichen Blütensystemen, eine licht-unempfindliche Mutante (co2tt4) und eine Mutante mit konstitutiver Expression eines potentiellen Blüte-Repressors (35S::FLC), wurden bei zwei verschiedenen Nitratkonzentrationen durchgeführt, um Kandidatengene zu identifizieren, die eine wichtige Rolle in der Regulation der Blütezeit durch Nitrat spielen könnten. KW - Nitrat KW - Stoffwechsel KW - Entwicklung KW - Arabidopsis thaliana KW - Nitrate KW - Metabolism KW - Development KW - Arabidopsis thaliana Y1 - 2007 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-18827 ER -