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Dispersal behavior plays an important role for the geographical distribution and population structure of any given species. Individual’s fitness, reproductive and competitive ability, and dispersal behavior can be determined by the age of the individual. Age-dependent as well as density-dependent dispersal patterns are common in many bird species. In this thesis, I first present age-dependent breeding ability and natal site fidelity in white storks (Ciconia ciconia); migratory birds breeding in large parts of Europe. I predicted that both the proportion of breeding birds and natal site fidelity increase with the age. After the seventies of the last century, following a steep population decline, a recovery of the white stork population has been observed in many regions in Europe. Increasing population density in the white stork population in Eastern Germany especially after 1983 allowed examining density- as well as age-dependent breeding dispersal patterns. Therefore second, I present whether: young birds show more often and longer breeding dispersal than old birds, and frequency of dispersal events increase with the population density increase, especially in the young storks. Third, I present age- and density-dependent dispersal direction preferences in the give population. I asked whether and how the major spring migration direction interacts with dispersal directions of white storks: in different age, and under different population densities. The proportion of breeding individuals increased in the first 22 years of life and then decreased suggesting, the senescent decay in aging storks. Young storks were more faithful to their natal sites than old storks probably due to their innate migratory direction and distance. Young storks dispersed more frequently than old storks in general, but not for longer distance. Proportion of dispersing individuals increased significantly with increasing population densities indicating, density- dependent dispersal behavior in white storks. Moreover, the finding of a significant interaction effects between the age of dispersing birds and year (1980–2006) suggesting, older birds dispersed more from their previous nest sites over time due to increased competition. Both young and old storks dispersed along their spring migration direction; however, directional preferences were different in young storks and old storks. Young storks tended to settle down before reaching their previous nest sites (leading to the south-eastward dispersal) while old birds tended to keep migrating along the migration direction after reaching their previous nest sites (leading to the north-westward dispersal). Cues triggering dispersal events may be age-dependent. Changes in the dispersal direction over time were observed. Dispersal direction became obscured during the second half of the observation period (1993–2006). Increase in competition may affect dispersal behavior in storks. I discuss the potential role of: age for the observed age-dependent dispersal behavior, and competition for the density dependent dispersal behavior. This Ph.D. thesis contributes significantly to the understanding of population structure and geographical distribution of white storks. Moreover, presented age- and density (competition)-dependent dispersal behavior helps understanding underpinning mechanisms of dispersal behavior in bird species.
Untersuchung und Veränderung der Genexpression und Proteinstabilität in Plastiden höherer Pflanzen
(2009)
Transcription factor networks in the initial ohase of drouht stress in rice (Oryza sativa L.)
(2009)
This work presents mathematical and computational approaches to cover various aspects of metabolic network modelling, especially regarding the limited availability of detailed kinetic knowledge on reaction rates. It is shown that precise mathematical formulations of problems are needed i) to find appropriate and, if possible, efficient algorithms to solve them, and ii) to determine the quality of the found approximate solutions. Furthermore, some means are introduced to gain insights on dynamic properties of metabolic networks either directly from the network structure or by additionally incorporating steady-state information. Finally, an approach to identify key reactions in a metabolic networks is introduced, which helps to develop simple yet useful kinetic models. The rise of novel techniques renders genome sequencing increasingly fast and cheap. In the near future, this will allow to analyze biological networks not only for species but also for individuals. Hence, automatic reconstruction of metabolic networks provides itself as a means for evaluating this huge amount of experimental data. A mathematical formulation as an optimization problem is presented, taking into account existing knowledge and experimental data as well as the probabilistic predictions of various bioinformatical methods. The reconstructed networks are optimized for having large connected components of high accuracy, hence avoiding fragmentation into small isolated subnetworks. The usefulness of this formalism is exemplified on the reconstruction of the sucrose biosynthesis pathway in Chlamydomonas reinhardtii. The problem is shown to be computationally demanding and therefore necessitates efficient approximation algorithms. The problem of minimal nutrient requirements for genome-scale metabolic networks is analyzed. Given a metabolic network and a set of target metabolites, the inverse scope problem has as it objective determining a minimal set of metabolites that have to be provided in order to produce the target metabolites. These target metabolites might stem from experimental measurements and therefore are known to be produced by the metabolic network under study, or are given as the desired end-products of a biotechological application. The inverse scope problem is shown to be computationally hard to solve. However, I assume that the complexity strongly depends on the number of directed cycles within the metabolic network. This might guide the development of efficient approximation algorithms. Assuming mass-action kinetics, chemical reaction network theory (CRNT) allows for eliciting conclusions about multistability directly from the structure of metabolic networks. Although CRNT is based on mass-action kinetics originally, it is shown how to incorporate further reaction schemes by emulating molecular enzyme mechanisms. CRNT is used to compare several models of the Calvin cycle, which differ in size and level of abstraction. Definite results are obtained for small models, but the available set of theorems and algorithms provided by CRNT can not be applied to larger models due to the computational limitations of the currently available implementations of the provided algorithms. Given the stoichiometry of a metabolic network together with steady-state fluxes and concentrations, structural kinetic modelling allows to analyze the dynamic behavior of the metabolic network, even if the explicit rate equations are not known. In particular, this sampling approach is used to study the stabilizing effects of allosteric regulation in a model of human erythrocytes. Furthermore, the reactions of that model can be ranked according to their impact on stability of the steady state. The most important reactions in that respect are identified as hexokinase, phosphofructokinase and pyruvate kinase, which are known to be highly regulated and almost irreversible. Kinetic modelling approaches using standard rate equations are compared and evaluated against reference models for erythrocytes and hepatocytes. The results from this simplified kinetic models can simulate acceptably the temporal behavior for small changes around a given steady state, but fail to capture important characteristics for larger changes. The aforementioned approach to rank reactions according to their influence on stability is used to identify a small number of key reactions. These reactions are modelled in detail, including knowledge about allosteric regulation, while all other reactions were still described by simplified reaction rates. These so-called hybrid models can capture the characteristics of the reference models significantly better than the simplified models alone. The resulting hybrid models might serve as a good starting point for kinetic modelling of genome-scale metabolic networks, as they provide reasonable results in the absence of experimental data, regarding, for instance, allosteric regulations, for a vast majority of enzymatic reactions.
Although the basic structure of biological membranes is provided by the lipid bilayer, most of the specific functions are carried out by membrane proteins (MPs) such as channels, ion-pumps and receptors. Additionally, it is known, that mutations in MPs are directly or indirectly involved in many diseases. Thus, structure determination of MPs is of major interest not only in structural biology but also in pharmacology, especially for drug development. Advances in structural biology of membrane proteins (MPs) have been strongly supported by the success of three leading techniques: X-ray crystallography, electron microscopy and solution NMR spectroscopy. However, X-ray crystallography and electron microscopy, require highly diffracting 3D or 2D crystals, respectively. Today, structure determination of non-crystalline solid protein preparations has been made possible through rapid progress of solid-state MAS NMR methodology for biological systems. Castellani et. al. solved and refined the first structure of a microcrystalline protein using only solid-state MAS NMR spectroscopy. These successful application open up perspectives to access systems that are difficult to crystallise or that form large heterogeneous complexes and insoluble aggregates, for example ligands bound to a MP-receptor, protein fibrils and heterogeneous proteins aggregates. Solid-state MAS NMR spectroscopy is in principle well suited to study MP at atomic resolution. In this thesis, different types of MP preparations were tested for their suitability to be studied by solid-state MAS NMR. Proteoliposomes, poorly diffracting 2D crystals and a PEG precipitate of the outer membrane protein G (OmpG) were prepared as a model system for large MPs. Results from this work, combined with data found in the literature, show that highly diffracting crystalline material is not a prerequirement for structural analysis of MPs by solid-state MAS NMR. Instead, it is possible to use non-diffracting 3D crystals, MP precipitates, poorly diffracting 2D crystals and proteoliposomes. For the latter two types of preparations, the MP is reconstituted into a lipid bilayer, which thus allows the structural investigation in a quasi-native environment. In addition, to prepare a MP sample for solid-state MAS NMR it is possible to use screening methods, that are well established for 3D and 2D crystallisation of MPs. Hopefully, these findings will open a fourth method for structural investigation of MP. The prerequisite for structural studies by NMR in general, and the most time consuming step, is always the assignment of resonances to specific nuclei within the protein. Since the last few years an ever-increasing number of assignments from solid-state MAS NMR of uniformly carbon and nitrogen labelled samples is being reported, mostly for small proteins of up to around 150 amino acids in length. However, the complexity of the spectra increases with increasing molecular weight of the protein. Thus the conventional assignment strategies developed for small proteins do not yield a sufficiently high degree of assignment for the large MP OmpG (281 amino acids). Therefore, a new assignment strategy to find starting points for large MPs was devised. The assignment procedure is based on a sample with [2,3-13C, 15N]-labelled Tyr and Phe and uniformly labelled alanine and glycine. This labelling pattern reduces the spectral overlap as well as the number of assignment possibilities. In order to extend the assignment, four other specifically labelled OmpG samples were used. The assignment procedure starts with the identification of the spin systems of each labelled amino acid using 2D 13C-13C and 3D NCACX correlation experiments. In a second step, 2D and 3D NCOCX type experiments are used for the sequential assignment of the observed resonances to specific nuclei in the OmpG amino acid sequence. Additionally, it was shown in this work, that biosynthetically site directed labelled samples, which are normally used to observe long-range correlations, were helpful to confirm the assignment. Another approach to find assignment starting points in large protein systems, is the use of spectroscopic filtering techniques. A filtering block that selects methyl resonances was used to find further assignment starting points for OmpG. Combining all these techniques, it was possible to assign nearly 50 % of the observed signals to the OmpG sequence. Using this information, a prediction of the secondary structure elements of OmpG was possible. Most of the calculated motifs were in good aggreement with the crystal structures of OmpG. The approaches presented here should be applicable to a wide variety of MPs and MP-complexes and should thus open a new avenue for the structural biology of MPs.
Sehzellen von Insekten sind epitheliale Zellen mit einer charakteristischen, hochpolaren Morphologie und Organisation. Die molekularen Komponenten der Sehkaskade befinden sich im Rhabdomer, einem Saum dicht gepackter Mikrovilli entlang der Sehzelle. Bereits in den 70er Jahren des letzten Jahrhunderts wurde beschrieben, dass die Mikrovilli entlang einer Sehzelle eine unterschiedliche Ausrichtung besitzen, oder in anderen Worten, die Rhabdomere entlang der Sehzell-Längsachse verdreht sind. So sind in den Sehzellen R1-R6 bei dipteren Fliegen (Calliphora, Drosophila) die Mikrovilli im distalen und proximalen Bereich eines Rhabdomers etwa rechtwinkelig zueinander angeordnet. Dieses Phänomen wird in der Fachliteratur als rhabdomere twisting bezeichnet und reduziert die Empfindlichkeit für polarisiertes Licht. Es wurde für das Drosophila-Auge gezeigt, dass diese strukturelle Asymmetrie der Sehzellen mit einer molekularen Asymmetrie in der Verteilung phosphotyrosinierter Proteine an die Stielmembran (einem nicht-mikrovillären Bereich der apikalen Plasmamembran) einhergeht. Zudem wurde gezeigt, dass die immuncytochemische Markierung mit anti-Phosphotyrosin (anti-PY) als lichtmikroskopischer Marker für das rhabdomere twisting verwendet werden kann. Bisher wurde hauptsächlich die physiologische Bedeutung der Rhabdomerverdrehung untersucht. Es ist wenig über die entwicklungs- und zellbiologischen Grundlagen bekannt. Ziel der vorliegenden Arbeit war es, die Identität der phosphotyrosinierten Proteine an der Stielmembran zu klären und ihre funktionelle Bedeutung für die Entwicklung des rhabdomere twisting zu analysieren. Zudem sollte untersucht werden, welchen Einfluss die inneren Sehzellen R7 und R8 auf die Verdrehung der Rhabdomere von R1-R6 haben. Für die zwei Proteinkinasen Rolled (ERK) und Basket (JNK) vom Typ der Mitogen-aktivierten Proteinkinasen (MAPK) konnte ich zeigen, dass sie in ihrer aktivierten (= phosphorylierten) Form (pERK bzw. pJNK) eine asymmetrische Verteilung an der Stielmembran aufweisen vergleichbar der Markierung mit anti-PY. Weiterhin wurde diese asymmetrische Verteilung von pERK und pJNK ebenso wie die von PY erst kurz vor Schlupf der Fliegen (bei ca. 90% pupaler Entwicklung) etabliert. Durch Präinkubationsexperimente mit anti-PY wurde die Markierung mit anti-pERK bzw. anti-pJNK unterbunden. Diese Ergebnisse sprechen dafür, dass pERK und pJNK zu den Proteinen gehören, die von anti-PY an der Stielmembran erkannt werden. Da es sich bei ERK und JNK um Kinasen handelt, ist es naheliegend, dass diese an der Entwicklung des rhabdomere twisting beteiligt sein könnten. Diese Hypothese wurde durch die Analyse von hypermorphen (rl SEM)und hypomorphen (rl 1/rl 10a) Rolled-Mutanten überprüft. In der rl SEM-Mutante mit erhöhter Aktivität der Proteinkinase erfolgte die asymmetrische Positionierung von pERK an der Stielmembran sowie die Mikrovillikippung schon zu einem früheren Zeitpunkt in der pupalen Entwicklung. Im adulten Auge war die anti-PY-Markierung im distalen Bereich der Sehzellen intensiver sowie der Kippwinkel vergrößert. In der rl 1/rl 10a-Mutanten mit reduzierter Kinaseaktivität waren die anti-PY-Markierung und der Kippwinkel im proximalen Bereich der Sehzellen verringert. Die Proteinkinase ERK hat somit einen Einfluss auf die zeitliche Etablierung des rhabdomere twisting wie auch auf dessen Ausprägung im Adulttier. Die Rhabdomerverdrehung sowie die Änderung im anti-PY-Markierungsmuster erfolgen an den Sehzellen R1-R6 relativ abrupt auf halber Ommatidienlänge, dort wo das Rhabdomer von R7 endet und das von R8 beginnt. Es stellte sich deshalb die Frage, ob die Rhabdomerverdrehung an R1-R6 durch die Sehzelle R7 und/oder R8 beeinflusst wird. Um dieser Frage nachzugehen wurden Mutanten analysiert, denen die R7- oder die R8-Photorezeptoren bzw. R7 und R8 fehlten. Das wichtigste Ergebnis dieser Untersuchungen war, dass bei Fehlen von R8 die Rhabdomerverdrehung bei R1-R6 nach keinen erkennbaren Regeln erfolgt. R8 ist somit Voraussetzung für die Etablierung der Rhabdomerverdrehung in R1-R6. Folgendes Modell wurde auf Grundlage dieses und weiterer Ergebnisse erarbeitet: Im dritten Larvenstadium rekrutiert R8 die Sehzellpaare R2/R5, R3/R4 und R1/R6. Dabei werden R1-R6 durch den Kontakt zu R8 „polarisiert“. Abschließend wird R7 durch R8 rekrutiert. Dies führt zu einer Fixierung der Polarität von R1-R6 durch R7. Die Ausführung der Mikrovillikippung anhand der festgelegten Polarität erfolgt in der späten Puppenphase. Die Proteinkinase ERK ist an diesem letzten Morphogeneseprozess beteiligt.
Pectic polysaccharides, a class of plant cell wall polymers, form one of the most complex networks known in nature. Despite their complex structure and their importance in plant biology, little is known about the molecular mechanism of their biosynthesis, modification, and turnover, particularly their structure-function relationship. One way to gain insight into pectin metabolism is the identification of mutants with an altered pectin structure. Those were obtained by a recently developed pectinase-based genetic screen. Arabidopsis thaliana seedlings grown in liquid medium containing pectinase solutions exhibited particular phenotypes: they were dwarfed and slightly chlorotic. However, when genetically different A. thaliana seed populations (random T-DNA insertional populations as well as EMS-mutagenized populations and natural variations) were subjected to this treatment, individuals were identified that exhibit a different visible phenotype compared to wild type or other ecotypes and may thus contain a different pectin structure (pec-mutants). After confirming that the altered phenotype occurs only when the pectinase is present, the EMS mutants were subjected to a detailed cell wall analysis with particular emphasis on pectins. This suite of mutants identified in this study is a valuable resource for further analysis on how the pectin network is regulated, synthesized and modified. Flanking sequences of some of the T-DNA lines have pointed toward several interesting genes, one of which is PEC100. This gene encodes a putative sugar transporter gene, which, based on our data, is implicated in rhamnogalacturonan-I synthesis. The subcellular localization of PEC100 was studied by GFP fusion and this protein was found to be localized to the Golgi apparatus, the organelle where pectin biosynthesis occurs. Arabidopsis ecotype C24 was identified as a susceptible one when grown with pectinases in liquid culture and had a different oligogalacturonide mass profile when compared to ecotype Col-0. Pectic oligosaccharides have been postulated to be signal molecules involved in plant pathogen defense mechanisms. Indeed, C24 showed elevated accumulation of reactive oxygen species upon pectinase elicitation and had altered response to the pathogen Alternaria brassicicola in comparison to Col-0. Using a recombinant inbred line population three major QTLs were identified to be responsible for the susceptibility of C24 to pectinases. In a reverse genetic approach members of the qua2 (putative pectin methyltransferase) family were tested for potential target genes that affect pectin methyl-esterification. The list of these genes was determined by in silico study of the pattern of expression and co-expression of all 34 members of this family resulting in 6 candidate genes. For only for one of the 6 analyzed genes a difference in the oligogalacturonide mass profile was observed in the corresponding knock-out lines, confirming the hypothesis that the methyl-esterification pattern of pectin is fine tuned by members of this gene family. This study of pectic polysaccharides through forward and reverse genetic screens gave new insight into how pectin structure is regulated and modified, and how these modifications could influence pectin mediated signalling and pathogenicity.
Despite general concern that the massive deposits of methane stored under permafrost underground and undersea could be released into the atmosphere due to rising temperatures attributed to global climate change, little is known about the methanogenic microorganisms in permafrost sediments, their role in methane emissions, and their phylogeny. The aim of this thesis was to increase knowledge of uncultivated methanogenic microorganisms in submarine and terrestrial permafrost deposits, their community composition, the role they play with regard to methane emissions, and their phylogeny. It is assumed that methanogenic communities in warmer submarine permafrost may serve as a model to anticipate the response of methanogenic communities in colder terrestrial permafrost to rising temperatures. The compositions of methanogenic communities were examined in terrestrial and submarine permafrost sediment samples. The submarine permafrost studied in this research was 10°C warmer than the terrestrial permafrost. By polymerase chain reaction (PCR), DNA was extracted from each of the samples and analyzed by molecular microbiological methods such as PCR-DGGE, RT-PCR, and cloning. Furthermore, these samples were used for in vitro experiment and FISH. The submarine permafrost analysis of the isotope composition of CH4 suggested a relationship between methane content and in situ active methanogenesis. Furthermore, active methanogenesis was proven using 13C-isotope measurements of methane in submarine permafrost sediment with a high TOC value and a high methane concentration. In the molecular-microbiological studies uncultivated lines of Methanosarcina, Methanomicrobiales, Methanobacteriacea and the Groups 1.3 and Marine Benthic from Crenarchaeota were found in all submarine and terrestrial permafrost samples. Methanosarcina was the dominant group of the Archaea in all submarine and terrestrial permafrost samples. The archaeal community composition, in particular, the methanogenic community composition showed diversity with changes in temperatures. Furthermore, cell count of methanogens in submarine permafrost was 10 times higher than in terrestrial permafrost. In vitro experiments showed that methanogens adapt quickly and well to higher temperatures. If temperatures rise due to climate change, an increase in methanogenic activity can be expected as long as organic material is sufficiently available and qualitatively adequate.
About 2,000 of the more than 27,000 genes of the genetic model plant Arabidopsis thaliana encode for transcription factors (TFs), proteins that bind DNA in the promoter region of their target genes and thus act as transcriptional activators and repressors. Since TFs play essential roles in nearly all biological processes, they are of great scientific and biotechnological interest. This thesis concentrated on the functional characterisation of four selected members of the Arabidopsis DOF-family, namely DOF1.2, DOF3.1, DOF3.5 and DOF5.2, which were selected because of their specific expression pattern in the root tip, a region that comprises the stem cell niche and cells for the perception of environmental stimuli. DOF1.2, DOF3.1 and DOF3.5 are previously uncharacterized members of the Arabidopsis DOF-family, while DOF5.2 has been shown to be involved in the phototrophic flowering response. However, its role in root development has not been described so far. To identify biological processes regulated by the four DOF proteins in detail, molecular and physiological characterization of transgenic plants with modified levels of DOF1.2, DOF3.1, DOF3.5 and DOF5.2 expression (constitutive and inducible over-expression, artificial microRNA) was performed. Additionally expression patterns of the TFs and their target genes were analyzed using promoter-GUS lines and publicly available microarray data. Finally putative protein-protein interaction partners and upstream regulating TFs were identified using the yeast two-hybrid and one-hybrid system. This combinatorial approach revealed distinct biological functions of DOF1.2, DOF3.1, DOF3.5 and DOF5.2 in the context of root development. DOF1.2 and DOF3.5 are specifically and exclusively expressed in the root cap, including the central root cap (columella) and the lateral root cap, organs which are essential to direct oriented root growth. It could be demonstrated that both genes work in the plant hormone auxin signaling pathway and have an impact on distal cell differentiation. Altered levels of gene expression lead to changes in auxin distribution, abnormal cell division patterns and altered root growth orientation. DOF3.1 and DOF5.2 share a specific expression pattern in the organizing centre of the root stem cell niche, called the quiescent centre. Both genes redundantly control cell differentiation in the root´s proximal meristem and unravel a novel transcriptional regulation pathway for genes enriched in the QC cells. Furthermore this work revealed a novel bipartite nuclear localisation signal being present in the protein sequence of the DOF TF family from all sequenced plant species. Summing up, this work provides an important input into our knowledge about the role of DOF TFs during root development. Future work will concentrate on revealing the exact regulatory networks of DOF1.2, DOF3.1, DOF3.5 and DOF5.2 and their possible biotechnological applications.
Übergewicht und Adipositas führen zu Insulinresistenz und erhöhen deutlich das Risiko für die Entwicklung von Typ-2-Diabetes und kardiovaskulären Erkrankungen. Sowohl Adipositas als auch die Suszeptibilität gegenüber Diabetes sind zu einem erheblichen Teil genetisch determiniert. Die relevanten Risikogene, deren Interaktion mit der Umwelt, insbesondere mit Bestandteilen der Nahrung, und die Pathomechanismen, die zur Insulinresistenz und Diabetes führen, sind nicht vollständig aufgeklärt. In der vorliegenden Arbeit sollte durch Genexpressionsanalysen des weißen Fettgewebes (WAT) und der Langerhansschen Inseln die Entstehung und Progression von Adipositas und Typ-2-Diabetes untersucht werden, um relevante Pathomechanismen und neue Kandidatengene zu identifizieren. Zu diesem Zweck wurden Diät-Interventionsstudien mit NZO- und verwandten NZL-Mäusen, zwei polygenen Mausmodellen für das humane metabolische Syndrom, durchgeführt. Eine kohlenhydrathaltige Hochfett-Diät (HF: 14,6 % Fettanteil) führte in beiden Mausmodellen zu früher Adipositas, Insulinresistenz und Typ 2 Diabetes. Eine fettreduzierte Standarddiät (SD: 3,3 % Fettanteil), welche die Entstehung von Adipositas und Diabetes stark verzögert, sowie eine diabetesprotektive kohlenhydratfreie Hochfett-Diät (CHF: 30,2 % Fettanteil) dienten als Kontrolldiäten. Mit Hilfe der Microarray-Technologie wurden genomweite Expressionsprofile des WAT erstellt. Pankreatische Inseln wurden durch laserbasierte Mikropräparation (Laser Capture Microdissection; LCM) isoliert und ebenfalls hinsichtlich ihres Expressionsprofils analysiert. Differenziell exprimierte Gene wurden durch Real-Time-PCR validiert. Im WAT der NZO-Maus bewirkte die HF-Diät eine reduzierte Expression nukleärer Gene der oxidativen Phosphorylierung und von lipogenen Enzymen. Dies deutet auf eine inadäquate Fettspeicherung und -verwertung in diesen Tieren hin. Die Reduktion in der Fettspeicherung und -oxidation ist spezifisch für das adipöse NZO-Modell und konnte bei der schlanken SJL Maus nicht beobachtet werden, was auf eine mögliche Beteiligung an der Entstehung der Insulinresistenz hinweist. Zusätzlich wurde bestätigt, dass die Expansion des Fettgewebes bei der adipösen NZO-Maus eine zeitlich verzögerte Infiltration von Makrophagen in das WAT und dort eine lokale Immunantwort auslöst. Darüber hinaus wurde die Methode der LCM etabliert und zur Gewinnung hochangereicherter RNA aus den Langerhansschen Inseln eingesetzt. In erstmalig durchgeführten genomweiten Expressionsanalysen wurde zu einem frühen Zeitpunkt in der Diabetesentwicklung der Einfluss einer diabetogenen HF-Diät und einer diabetesprotektiven CHF-Diät auf das Expressionsprofil von pankreatischen Inselzellen verglichen. Im Gegensatz zum WAT bewirkt die diabetogene HF-Diät in Inselzellen einerseits, eine erhöhte Expression von nukleären Genen für die oxidative Phosphorylierung und andererseits von Genen, die mit Zellproliferation assoziiert sind. Zudem wurden 37 bereits annotierte Gene identifiziert, deren differenzielle Expression mit der Diabetesentwicklung korreliert. Das Peptidhormon Cholecystokinin (Cck, 11,8-fach erhöht durch die HF) stellt eines der am stärksten herauf regulierten Gene dar. Die hohe Anreicherung der Cck-mRNA in Inselzellen deutet auf eine bisher unbekannte Funktion des Hormons in der Regulation der Inselzellproliferation hin. Der Transkriptionsfaktor Mlxipl (ChREBP; 3,8-fach erniedrigt durch die HF) stellt in Langerhansschen Inseln eines der am stärksten herunter regulierten Gene dar. Ferner wurde ChREBP, dessen Funktion als glucoseregulierter Transkriptionsfaktor für lipogene Enzyme bislang in der Leber, aber nicht in Inselzellen nachgewiesen werden konnte, erstmals immunhistochemisch in Inselzellen detektiert. Dies deutet auf eine neue, bisher unbekannte regulatorische Funktion von ChREBP im Glucosesensor-Mechanismus der Inselzellen hin. Eine durchgeführte Korrelation der mit der Diabetesentwicklung assoziierten, differenziell exprimierten Inselzellgene mit Genvarianten aus humanen genomweiten Assoziationsstudien für Typ-2-Diabetes (WTCCC, Broad-DGI-T2D-Studie) ermöglichte die Identifizierung von 24 neuartigen Diabetes-Kandidatengenen. Die Ergebnisse der erstmals am polygenen NZO-Mausmodell durchgeführten genomweiten Expressionsuntersuchungen bestätigen bisherige Befunde aus Mausmodellen für Adipositas und Diabetes (z.B. ob/ob- und db/db-Mäuse), zeigen in einigen Fällen aber auch Unterschiede auf. Insbesondere in der oxidativen Phosphorylierung könnten die Ergebnisse relevant sein für das Verständnis der Pathogenese des polygen-bedingten humanen metabolischen Syndroms.