@phdthesis{Schlossarek2023,
  author    = {Schlossarek, Dennis},
  title     = {Identification of dynamic protein-metabolite complexes in saccharomyces cerevisiae using co-fractionation mass spectrometry},
  doi       = {10.25932/publishup-58282},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-582826},
  school      = {Universit{\"a}t Potsdam},
  pages     = {123},
  year      = {2023},
  abstract  = {Cells are built from a variety of macromolecules and metabolites. Both, the proteome and the metabolome are highly dynamic and responsive to environmental cues and developmental processes. But it is not their bare numbers, but their interactions that enable life. The protein-protein (PPI) and protein-metabolite interactions (PMI) facilitate and regulate all aspects of cell biology, from metabolism to mitosis. Therefore, the study of PPIs and PMIs and their dynamics in a cell-wide context is of great scientific interest. In this dissertation, I aim to chart a map of the dynamic PPIs and PMIs across metabolic and cellular transitions. As a model system, I study the shift from the fermentative to the respiratory growth, known as the diauxic shift, in the budding yeast Saccharomyces cerevisiae. To do so, I am applying a co-fractionation mass spectrometry (CF-MS) based method, dubbed protein metabolite interactions using size separation (PROMIS). PROMIS, as well as comparable methods, will be discussed in detail in chapter 1. Since PROMIS was developed originally for Arabidopsis thaliana, in chapter 2, I will describe the adaptation of PROMIS to S. cerevisiae. Here, the obtained results demonstrated a wealth of protein-metabolite interactions, and experimentally validated 225 previously predicted PMIs. Applying orthogonal, targeted approaches to validate the interactions of a proteogenic dipeptide, Ser-Leu, five novel protein-interactors were found. One of those proteins, phosphoglycerate kinase, is inhibited by Ser-Leu, placing the dipeptide at the regulation of glycolysis. In chapter 3, I am presenting PROMISed, a novel web-tool designed for the analysis of PROMIS- and other CF-MS-datasets. Starting with raw fractionation profiles, PROMISed enables data pre-processing, profile deconvolution, scores differences in fractionation profiles between experimental conditions, and ultimately charts interaction networks. PROMISed comes with a user-friendly graphic interface, and thus enables the routine analysis of CF-MS data by non-computational biologists. Finally, in chapter 4, I applied PROMIS in combination with the isothermal shift assay to the diauxic shift in S. cerevisiae to study changes in the PPI and PMI landscape across this metabolic transition. I found a major rewiring of protein-protein-metabolite complexes, exemplified by the disassembly of the proteasome in the respiratory phase, the loss of interaction of an enzyme involved in amino acid biosynthesis and its cofactor, as well as phase and structure specific interactions between dipeptides and enzymes of central carbon metabolism. In chapter 5, I am summarizing the presented results, and discuss a strategy to unravel the potential patterns of dipeptide accumulation and binding specificities. Lastly, I recapitulate recently postulated guidelines for CF-MS experiments, and give an outlook of protein interaction studies in the near future.},
  language  = {en}
}
@phdthesis{WijesinghaAhchige2022,
  author    = {Wijesingha Ahchige, Micha},
  title     = {Canalization of plant metabolism and yield},
  doi       = {10.25932/publishup-54884},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-548844},
  school      = {Universit{\"a}t Potsdam},
  pages     = {VIII, 160},
  year      = {2022},
  abstract  = {Plant metabolism is the main process of converting assimilated carbon to different crucial compounds for plant growth and therefore crop yield, which makes it an important research topic. Although major advances in understanding genetic principles contributing to metabolism and yield have been made, little is known about the genetics responsible for trait variation or canalization although the concepts have been known for a long time. In light of a growing global population and progressing climate change, understanding canalization of metabolism and yield seems ever-more important to ensure food security. Our group has recently found canalization metabolite quantitative trait loci (cmQTL) for tomato fruit metabolism, showing that the concept of canalization applies on metabolism. In this work two approaches to investigate plant metabolic canalization and one approach to investigate yield canalization are presented. In the first project, primary and secondary metabolic data from Arabidopsis thaliana and Phaseolus vulgaris leaf material, obtained from plants grown under different conditions was used to calculate cross-environment coefficient of variations or fold-changes of metabolite levels per genotype and used as input for genome wide association studies. While primary metabolites have lower CV across conditions and show few and mostly weak associations to genomic regions, secondary metabolites have higher CV and show more, strong metabolite to genome associations. As candidate genes, both potential regulatory genes as well as metabolic genes, can be found, albeit most metabolic genes are rarely directly related to the target metabolites, suggesting a role for both potential regulatory mechanisms as well as metabolic network structure for canalization of metabolism. In the second project, candidate genes of the Solanum lycopersicum cmQTL mapping are selected and CRISPR/Cas9-mediated gene-edited tomato lines are created, to validate the genes role in canalization of metabolism. Obtained mutants appeared to either have strong aberrant developmental phenotypes or appear wild type-like. One phenotypically inconspicuous mutant of a pantothenate kinase, selected as candidate for malic acid canalization shows a significant increase of CV across different watering conditions. Another such mutant of a protein putatively involved in amino acid transport, selected as candidate for phenylalanine canalization shows a similar tendency to increased CV without statistical significance. This potential role of two genes involved in metabolism supports the hypothesis of structural relevance of metabolism for its own stability. In the third project, a mutant for a putative disulfide isomerase, important for thylakoid biogenesis, is characterized by a multi-omics approach. The mutant was characterized previously in a yield stability screening and showed a variegated leaf phenotype, ranging from green leaves with wild type levels of chlorophyll over differently patterned variegated to completely white leaves almost completely devoid of photosynthetic pigments. White mutant leaves show wild type transcript levels of photosystem assembly factors, with the exception of ELIP and DEG orthologs indicating a stagnation at an etioplast to chloroplast transition state. Green mutant leaves show an upregulation of these assembly factors, possibly acting as overcompensation for partially defective disulfide isomerase, which seems sufficient for proper chloroplast development as confirmed by a wild type-like proteome. Likely as a result of this phenotype, a general stress response, a shift to a sink-like tissue and abnormal thylakoid membranes, strongly alter the metabolic profile of white mutant leaves. As the severity and pattern of variegation varies from plant to plant and may be effected by external factors, the effect on yield instability, may be a cause of a decanalized ability to fully exploit the whole leaf surface area for photosynthetic activity.},
  language  = {en}
}
@phdthesis{Kueken2020,
  author    = {K{\"u}ken, Anika},
  title     = {Predictions from constraint-based approaches including enzyme kinetics},
  school      = {Universit{\"a}t Potsdam},
  pages     = {116, A-16, B-7, C-8},
  year      = {2020},
  abstract  = {The metabolic state of an organism reflects the entire phenotype that is jointly affected by genetic and environmental changes. Due to the complexity of metabolism, system-level modelling approaches have become indispensable tools to obtain new insights into biological functions. In particular, simulation and analysis of metabolic networks using constraint-based modelling approaches have helped the analysis of metabolic fluxes. However, despite ongoing improvements in prediction of reaction flux through a system, approaches to directly predict metabolite concentrations from large-scale metabolic networks remain elusive. In this thesis, we present a computational approach for inferring concentration ranges from genome-scale metabolic models endowed with mass action kinetics. The findings specify a molecular mechanism underling facile control of concentration ranges for components in large-scale metabolic networks. Most importantly, an extended version of the approach can be used to predict concentration ranges without knowledge of kinetic parameters, provided measurements of concentrations in a reference state. We show that the approach is applicable with large-scale kinetic and stoichiometric metabolic models of organisms from different kingdoms of life. By challenging the predictions of concentration ranges in the genome-scale metabolic network of Escherichia coli with real-world data sets, we further demonstrate the prediction power and limitations of the approach. To predict concentration ranges in other species, e.g. model plant species Arabidopsis thaliana, we would rely on estimates of kinetic parameters (i.e. enzyme catalytic rates) since plant-specific enzyme catalytic rates are poorly documented. Using the constraint-based approach of Davidi et al. for estimation of enzyme catalytic rates, we obtain values for 168 plant enzymes. The approach depends on quantitative proteomics data and flux estimates obtained from constraint-based model of plant leaf metabolism integrating maximal rates of selected enzymes, plant-specific constraints on fluxes through canonical pathways, and growth measurements from Arabidopsis thaliana rosette under ten conditions. We demonstrate a low degree of plant enzyme saturation, supported by the agreement between concentrations of nicotinamide adenine dinucleotide, adenosine triphosphate, and glyceraldehyde 3-phosphate, based on our maximal in vivo catalytic rates, and available quantitative metabolomics data. Hence, our results show genome-wide estimation for plant-specific enzyme catalytic rates is feasible. These can now be readily employed to study resource allocation, to predict enzyme and metabolite concentrations using recent constrained-based modelling approaches. Constraint-based methods do not directly account for kinetic mechanisms and corresponding parameters. Therefore, a number of workflows have already been proposed to approximate reaction kinetics and to parameterize genome-scale kinetic models. We present a systems biology strategy to build a fully parameterized large-scale model of Chlamydomonas reinhardtii accounting for microcompartmentalization in the chloroplast stroma. Eukaryotic algae comprise a microcompartment, the pyrenoid, essential for the carbon concentrating mechanism (CCM) that improves their photosynthetic performance. Since the experimental study of the effects of microcompartmentation on metabolic pathways is challenging, we employ our model to investigate compartmentation of fluxes through the Calvin-Benson cycle between pyrenoid and stroma. Our model predicts that ribulose-1,5-bisphosphate, the substrate of Rubisco, and 3-phosphoglycerate, its product, diffuse in and out of the pyrenoid. We also find that there is no major diffusional barrier to metabolic flux between the pyrenoid and stroma. Therefore, our computational approach represents a stepping stone towards understanding of microcompartmentalized CCM in other organisms. This thesis provides novel strategies to use genome-scale metabolic networks to predict and integrate metabolite concentrations. Therefore, the presented approaches represent an important step in broadening the applicability of large-scale metabolic models to a range of biotechnological and medical applications.},
  language  = {en}
}
@phdthesis{Mubeen2018,
  author    = {Mubeen, Umarah},
  title     = {Regulation of central carbon and nitrogen metabolism by Target of Rapamycin (TOR) kinase in Chlamydomonas reinhardtii},
  school      = {Universit{\"a}t Potsdam},
  pages     = {vii, 153},
  year      = {2018},
  abstract  = {The highly conserved protein complex containing the Target of Rapamycin (TOR) kinase is known to integrate intra- and extra-cellular stimuli controlling nutrient allocation and cellular growth. This thesis describes three studies aimed to understand how TOR signaling pathway influences carbon and nitrogen metabolism in Chlamydomonas reinhardtii. The first study presents a time-resolved analysis of the molecular and physiological features across the diurnal cycle. The inhibition of TOR leads to 50\% reduction in growth followed by nonlinear delays in the cell cycle progression. The metabolomics analysis showed that the growth repression is mainly driven by differential carbon partitioning between anabolic and catabolic processes. Furthermore, the high accumulation of nitrogen-containing compounds indicated that TOR kinase controls the carbon to nitrogen balance of the cell, which is responsible for biomass accumulation, growth and cell cycle progression. In the second study the cause of the high accumulation of amino acids is explained. For this purpose, the effect of TOR inhibition on Chlamydomonas was examined under different growth regimes using stable 13C- and 15N-isotope labeling. The data clearly showed that an increased nitrogen uptake is induced within minutes after the inhibition of TOR. Interestingly, this increased N-influx is accompanied by increased activities of nitrogen assimilating enzymes. Accordingly, it was concluded that TOR inhibition induces de-novo amino acid synthesis in Chlamydomonas. The recognition of this novel process opened an array of questions regarding potential links between central metabolism and TOR signaling. Therefore a detailed phosphoproteomics study was conducted to identify the potential substrates of TOR pathway regulating central metabolism. Interestingly, some of the key enzymes involved in carbon metabolism as well as amino acid synthesis exhibited significant changes in the phosphosite intensities immediately after TOR inhibition. Altogether, these studies provide a) detailed insights to metabolic response of Chlamydomonas to TOR inhibition, b) identification of a novel process causing rapid upshifts in amino acid levels upon TOR inhibition and c) finally highlight potential targets of TOR signaling regulating changes in central metabolism. Further biochemical and molecular investigations could confirm these observations and advance the understanding of growth signaling in microalgae.},
  language  = {en}
}
@phdthesis{RodriguezCubillos2018,
  author    = {Rodriguez Cubillos, Andres Eduardo},
  title     = {Understanding the impact of heterozygosity on metabolism, growth and hybrid necrosis within a local Arabidopsis thaliana collection site},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-416758},
  school      = {Universit{\"a}t Potsdam},
  pages     = {106},
  year      = {2018},
  abstract  = {Plants are unable to move away from unwanted environments and therefore have to locally adapt to changing conditions. Arabidopsis thaliana (Arabidopsis), a model organism in plant biology, has been able to rapidly colonize a wide spectrum of environments with different biotic and abiotic challenges. In recent years, natural variation in Arabidopsis has shown to be an excellent resource to study genes underlying adaptive traits and hybridization's impact on natural diversity. Studies on Arabidopsis hybrids have provided information on the genetic basis of hybrid incompatibilities and heterosis, as well as inheritance patterns in hybrids. However, previous studies have focused mainly on global accessions and yet much remains to be known about variation happening within a local growth habitat. In my PhD, I investigated the impact of heterozygosity at a local collection site of Arabidopsis and its role in local adaptation. I focused on two different projects, both including hybrids among Arabidopsis individuals collected around T{\"u}bingen in Southern Germany. The first project sought to understand the impact of hybridization on metabolism and growth within a local Arabidopsis collection site. For this, the inheritance patterns in primary and secondary metabolism, together with rosette size of full diallel crosses among seven parents originating from Southern Germany were analyzed. In comparison to primary metabolites, compounds from secondary metabolism were more variable and showed pronounced non-additive inheritance patterns. In addition, defense metabolites, mainly glucosinolates, displayed the highest degree of variation from the midparent values and were positively correlated with a proxy for plant size. In the second project, the role of ACCELERATED CELL DEATH 6 (ACD6) in the defense response pathway of Arabidopsis necrotic hybrids was further characterized. Allelic interactions of ACD6 have been previously linked to hybrid necrosis, both among global and local Arabidopsis accessions. Hence, I characterized the early metabolic and ionic changes induced by ACD6, together with marker gene expression assays of physiological responses linked to its activation. An upregulation of simple sugars and metabolites linked to non-enzymatic antioxidants and the TCA cycle were detected, together with putrescine and acids linked to abiotic stress responses. Senescence was found to be induced earlier in necrotic hybrids and cytoplasmic calcium signaling was unaffected in response to temperature. In parallel, GFP-tagged constructs of ACD6 were developed. This work therefore gave novel insights on the role of heterozygosity in natural variation and adaptation and expanded our current knowledge on the physiological and molecular responses associated with ACD6 activation.},
  language  = {en}
}
@phdthesis{Dethloff2013,
  author    = {Dethloff, Frederik},
  title     = {In vivo 13C stable isotope tracing of single leaf development in the cold},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-70486},
  school      = {Universit{\"a}t Potsdam},
  year      = {2013},
  abstract  = {Measuring the metabolite profile of plants can be a strong phenotyping tool, but the changes of metabolite pool sizes are often difficult to interpret, not least because metabolite pool sizes may stay constant while carbon flows are altered and vice versa. Hence, measuring the carbon allocation of metabolites enables a better understanding of the metabolic phenotype. The main challenge of such measurements is the in vivo integration of a stable or radioactive label into a plant without perturbation of the system. To follow the carbon flow of a precursor metabolite, a method is developed in this work that is based on metabolite profiling of primary metabolites measured with a mass spectrometer preceded by a gas chromatograph (Wagner et al. 2003; Erban et al. 2007; Dethloff et al. submitted). This method generates stable isotope profiling data, besides conventional metabolite profiling data. In order to allow the feeding of a 13C sucrose solution into the plant, a petiole and a hypocotyl feeding assay are developed. To enable the processing of large numbers of single leaf samples, their preparation and extraction are simplified and optimised. The metabolite profiles of primary metabolites are measured, and a simple relative calculation is done to gain information on carbon allocation from 13C sucrose. This method is tested examining single leaves of one rosette in different developmental stages, both metabolically and regarding carbon allocation from 13C sucrose. It is revealed that some metabolite pool sizes and 13C pools are tightly associated to relative leaf growth, i.e. to the developmental stage of the leaf. Fumaric acid turns out to be the most interesting candidate for further studies because pool size and 13C pool diverge considerably. In addition, the analyses are also performed on plants grown in the cold, and the initial results show a different metabolite pool size pattern across single leaves of one Arabidopsis rosette, compared to the plants grown under normal temperatures. Lastly, in situ expression of REIL genes in the cold is examined using promotor-GUS plants. Initial results suggest that single leaf metabolite profiles of reil2 differ from those of the WT.},
  language  = {en}
}
@phdthesis{Ivakov2011,
  author    = {Ivakov, Alexander},
  title     = {Metabolic interactions in leaf development in Arabidopsis thaliana},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-59730},
  school      = {Universit{\"a}t Potsdam},
  year      = {2011},
  abstract  = {Das Wachstum und {\"U}berleben von Pflanzen basiert auf der Photosynthese in den Bl{\"a}ttern. Diese beinhaltet die Aufnahme von Kohlenstoffdioxid aus der Atmosph{\"a}re und das simultane Einfangen von Lichtenergie zur Bildung organischer Molek{\"u}le. Diese werden nach dem Eintritt in den Metabolismus in viele andere Komponenten umgewandelt, welche die Grundlage f{\"u}r die Zunahme der Biomasse bilden. Bl{\"a}tter sind Organe, die auf die Fixierung von Kohlenstoffdioxid spezialisiert sind. Die Funktionen der Bl{\"a}tter beinhalten vor allem die Optimierung und Feinregulierung vieler Prozesse, um eine effektive Nutzung von Ressourcen und eine maximale Photosynthese zu gew{\"a}hrleisten. Es ist bekannt, dass sich die Morphologie der Bl{\"a}tter den Wachstumsbedingungen der Pflanze anpasst und eine wichtige Rolle bei der Optimierung der Photosynthese spielt. Trotzdem ist die Regulation dieser Art der Anpassung bisher nicht verstanden. Die allgemeine Zielsetzung dieser vorliegenden Arbeit ist das Verst{\"a}ndnis wie das Wachstum und die Morphologie der Bl{\"a}tter im Modellorganismus Arabidopsis thaliana reguliert werden. Besondere Aufmerksamkeit wurde hierbei der M{\"o}glichkeit geschenkt, dass es interne metabolische Signale in der Pflanze geben k{\"o}nnte, die das Wachstum und die Entwicklung von Bl{\"a}ttern beeinflussen. Um diese Fragestellung zu untersuchen, muss das Wachstum und die Entwicklung von Bl{\"a}ttern oberhalb des Levels des einzelnen Organs und im Kontext der gesamten Pflanze betrachtet werden, weil Bl{\"a}tter nicht eigenst{\"a}ndig wachsen, sondern von Ressourcen und regulatorischen Einfl{\"u}ssen der ganzen Pflanze abh{\"a}ngig sind. Aufgrund der Komplexit{\"a}t dieser Fragestellung wurden drei komplement{\"a}re Ans{\"a}tze durchgef{\"u}hrt. Im ersten und spezifischsten Ansatz wurde untersucht ob eine flussabw{\"a}rts liegende Komponente des Zucker-Signalwegs, Trehalose-6-Phosphat (Tre-6-P), das Blattwachstum und die Blattentwicklung beinflussen kann. Um diese Frage zu beantworten wurden transgene Arabidopsis-Linien mit einem gest{\"o}rten Gehalt von Tre-6-P durch die Expression von bakteriellen Proteinen die in dem metabolismus von trehalose beteiligt sind. Die Pflanzen-Linien wurden unter Standard-Bendingungen in Erde angebaut und ihr Metabolismus und ihre Blattmorphologie untersucht. Diese Experimente f{\"u}hrten auch zu einem unerwarteten Projekt hinsichtlich einer m{\"o}glichen Rolle von Tre-6-P in der Regulation der Stomata. In einem zweiten, allgemeineren Ansatz wurde untersucht, ob {\"A}nderungen im Zucker-Gehalt der Pflanzen die Morphogenese der Bl{\"a}tter als Antwort auf Licht beeinflussen. Dazu wurden eine Reihe von Mutanten, die im Zentralmetabolismus beeintr{\"a}chtigt sind, in derselben Lichtbedingung angezogen und bez{\"u}glich ihrer Blattmorphologie analysiert. In einem dritten noch allgemeineren Ansatz wurde die nat{\"u}rliche Variation von morphologischen Auspr{\"a}gungen der Bl{\"a}tter und Rosette anhand von wilden Arabidopsis {\"O}kotypen untersucht, um zu verstehen wie sich die Blattmorphologie auf die Blattfunktion und das gesamte Pflanzenwachstum auswirkt und wie unterschiedliche Eigenschaften miteinander verkn{\"u}pft sind. Das Verh{\"a}ltnis der Blattanzahl zum Gesamtwachstum der Pflanze und Blattgr{\"o}ße wurde gesondert weiter untersucht durch eine Normalisierung der Blattanzahl auf das Frischgewicht der Rosette, um den Parameter „leafing Intensity" abzusch{\"a}tzen. Leafing Intensity integrierte Blattanzahl, Blattgr{\"o}ße und gesamtes Rosettenwachstum in einer Reihe von Kompromiss-Interaktionen, die in einem Wachstumsvorteil resultieren, wenn Pflanzen weniger, aber gr{\"o}ßere Bl{\"a}tter pro Einheit Biomasse ausbilden. Dies f{\"u}hrte zu einem theoretischen Ansatz in dem ein einfaches allometrisch mathematisches Modell konstruiert wurde, um Blattanzahl, Blattgr{\"o}ße und Pflanzenwachstum im Kontext der gesamten Pflanze Arabidopsis zu verkn{\"u}pfen.},
  language  = {en}
}
@phdthesis{Riewe2008,
  author    = {Riewe, David},
  title     = {The relevance of adenylate levels and adenylate converting enzymes on metabolism and development of potato (Solanum tuberosum L.) tubers},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-27323},
  school      = {Universit{\"a}t Potsdam},
  year      = {2008},
  abstract  = {Adenylates are metabolites with essential function in metabolism and signaling in all living organisms. As Cofactors, they enable thermodynamically unfavorable reactions to be catalyzed enzymatically within cells. Outside the cell, adenylates are involved in signalling processes in animals and emerging evidence suggests similar signaling mechanisms in the plants' apoplast. Presumably, apoplastic apyrases are involved in this signaling by hydrolyzing the signal mediating molecules ATP and ADP to AMP. This PhD thesis focused on the role of adenylates on metabolism and development of potato (Solanum tuberosum) by using reverse genetics and biochemical approaches. To study the short and long term effect of cellular ATP and the adenylate energy charge on potato tuber metabolism, an apyrase from Escherichia coli targeted into the amyloplast was expressed inducibly and constitutively. Both approaches led to the identification of adaptations to reduced ATP/energy charge levels on the molecular and developmental level. These comprised a reduction of metabolites and pathway fluxes that require significant amounts of ATP, like amino acid or starch synthesis, and an activation of processes that produce ATP, like respiration and an immense increase in the surface-to-volume ratio. To identify extracellular enzymes involved in adenylate conversion, green fluorescent protein and activity localization studies in potato tissue were carried out. It was found that extracellular ATP is imported into the cell by an apoplastic enzyme complement consisting of apyrase, unspecific phosphatase, adenosine nucleosidase and an adenine transport system. By changing the expression of a potato specific apyrase via transgenic approaches, it was found that this enzyme has strong impact on plant and particular tuber development in potato. Whereas metabolite levels were hardly altered, transcript profiling of tubers with reduced apyrase activity revealed a significant upregulation of genes coding for extensins, which are associated with polar growth. The results are discussed in context of adaptive responses of plants to changes in the adenylate levels and the proposed role of apyrase in apoplastic purinergic signaling and ATP salvaging. In summary, this thesis provides insight into adenylate regulated processes within and outside non-photosynthetic plant cells.},
  language  = {en}
}
@phdthesis{Geissler2008,
  author    = {Geißler, Katja},
  title     = {Lebensstrategien seltener Stromtalpflanzen : aut{\"o}kologische Untersuchung von Cnidium dubium, Gratiola officinalis und Juncus atratus unter besonderer Ber{\"u}cksichtigung ihrer Stressresistenz},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-17468},
  school      = {Universit{\"a}t Potsdam},
  year      = {2008},
  abstract  = {Die vorliegende Dissertation behandelt die {\"O}kologie von Cnidium dubium (Schkuhr) Thell. (Sumpf-Brenndolde), Gratiola officinalis L. (Gottes-Gnadenkraut) und Juncus atratus Krocker (Schwarze Binse), drei gef{\"a}hrdeten Arten, die als sogenannte Stromtalpflanzen in Mitteleuropa in ihrem Vorkommen eng an die Flussauen gebunden sind. Die Arbeit basiert auf verschiedenen Simulationsexperimenten und Feldstudien in der Unteren Havelniederung, einem „Feuchtgebiet von internationaler Bedeutung". Sie behandelt Themenkomplexe wie das Samenbankverhalten, die Samenkeimung, die Stickstofflimitierung, die Konkurrenzkraft, das Verhalten der Pflanzen nach einer Sommertrockenheit und nach einer Winter/Fr{\"u}hjahrs{\"u}berflutung. Ferner widmet sie sich der Populationsbiologie der Arten und dem Verhalten der Pflanzen nach besonderen St{\"o}rungsereignissen wie Mahd, Herbivorie und der Sommerflut 2002. Der Leser erf{\"a}hrt, wie die Pflanzen in verschiedenen Lebensphasen auf die auentypische Umwelt reagieren und erh{\"a}lt umfassende Einblicke in physiologische Mechanismen, die der Anpassung an die typischen Bedingungen einer mitteleurop{\"a}ischen Flussaue dienen. Eine Interpretation der Ergebnisse zeigt auf, welche der spezifischen Eigenschaften zur Gef{\"a}hrdung der drei Stromtalarten beitragen. Die Arbeit ist f{\"u}r den Arten-, Biotop- und Landschaftsschutz interessant. Dar{\"u}ber hinaus bietet sie zahlreiche Ankn{\"u}pfungspunkte zur {\"o}kophysiologischen Grundlagenforschung. Die verst{\"a}rkte Nutzung physiologischer Methoden bei der Kl{\"a}rung {\"o}kologischer Fragestellungen wird angeregt.},
  language  = {de}
}