570 Biowissenschaften; Biologie
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- movement ecology (2)
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Institute
Determining the relationship between genotype and phenotype is the key to understand the plasticity and robustness of phenotypes in nature. While the directly observable plant phenotypes (e.g. agronomic, yield and stress resistance traits) have been well-investigated, there is still a lack in our knowledge about the genetic basis of intermediate phenotypes, such as metabolic phenotypes. Dissecting the links between genotype and phenotype depends on suitable statistical models. The state-of-the-art models are developed for directly observable phenotypes, regardless the characteristics of intermediate phenotypes. This thesis aims to fill the gaps in understanding genetic architecture of intermediate phenotypes, and how they tie to composite traits, namely plant growth. The metabolite levels and reaction fluxes, as two aspects of metabolic phenotypes, are shaped by the interrelated chemical reactions formed in genome-scale metabolic network. Here, I attempt to answer the question: Can the knowledge of underlying genome-scale metabolic network improve the model performance for prediction of metabolic phenotypes and associated plant growth? To this end, two projects are investigated in this thesis. Firstly, we propose an approach that couples genomic selection with genome-scale metabolic network and metabolic profiles in Arabidopsis thaliana to predict growth. This project is the first integration of genomic data with fluxes predicted based on constraint-based modeling framework and data on biomass composition. We demonstrate that our approach leads to a considerable increase of prediction accuracy in comparison to the state-of-the-art methods in both within and across environment predictions. Therefore, our work paves the way for combining knowledge on metabolic mechanisms in the statistical approach underlying genomic selection to increase the efficiency of future plant breeding approaches. Secondly, we investigate how reliable is genomic selection for metabolite levels, and which single nucleotide polymorphisms (SNPs), obtained from different neighborhoods of a given metabolic network, contribute most to the accuracy of prediction. The results show that the local structure of first and second neighborhoods are not sufficient for predicting the genetic basis of metabolite levels in Zea mays. Furthermore, we find that the enzymatic SNPs can capture most the genetic variance and the contribution of non-enzymatic SNPs is in fact small. To comprehensively understand the genetic architecture of metabolic phenotypes, I extend my study to a local Arabidopsis thaliana population and their hybrids. We analyze the genetic architecture in primary and secondary metabolism as well as in growth. In comparison to primary metabolites, compounds from secondary metabolism were more variable and show more non-additive inheritance patterns which could be attributed to epistasis. Therefore, our study demonstrates that heterozygosity in local Arabidopsis thaliana population generates metabolic variation and may impact several tasks directly linked to metabolism. The studies in this thesis improve the knowledge of genetic architecture of metabolic phenotypes in both inbreed and hybrid population. The approaches I proposed to integrate genome-scale metabolic network with genomic data provide the opportunity to obtain mechanistic insights about the determinants of agronomically important polygenic traits.
STERILE APETALA (SAP) is known to be an essential regulator of flower development for over 20 years. Loss of SAP function in the model plant Arabidopsis thaliana is associated with a reduction of floral organ number, size and fertility. In accordance with the function of SAP during early flower development, its spatial expression in flowers is confined to meristematic stages and to developing ovules. However, to date, despite extensive research, the molecular function of SAP and the regulation of its spatio-temporal expression still remain elusive.
In this work, amino acid sequence analysis and homology modeling revealed that SAP belongs to the rare class of plant F-box proteins with C-terminal WD40 repeats. In opisthokonts, this type of F-box proteins constitutes the substrate binding subunit of SCF complexes, which catalyze the ubiquitination of proteins to initiate their proteasomal degradation. With LC-MS/MS-based protein complex isolation, the interaction of SAP with major SCF complex subunits was confirmed. Additionally, candidate substrate proteins, such as the growth repressor PEAPOD 1 and 2 (PPD1/2), could be revealed during early stages of flower development. Also INDOLE-3-BUTYRIC ACID RESPONSE 5 (IBR5) was identified among putative interactors. Genetic analyses indicated that, different from substrate proteins, IBR5 is required for SAP function. Protein complex isolation together with transcriptome profiling emphasized that the SCFSAP complex integrates multiple biological processes, such as proliferative growth, vascular development, hormonal signaling and reproduction. Phenotypic analysis of sap mutant and SAP overexpressing plants positively correlated SAP function with plant growth during reproductive and vegetative development.
Furthermore, to elaborate on the transcriptional regulation of SAP, publicly available ChIP-seq data of key floral homeotic proteins were reanalyzed. Here, it was shown that the MADS-domain transcription factors APETALA 1 (AP1), APETALA 3 (AP3), PISTILLATA (PI), AGAMOUS (AG) and SEPALLATA 3 (SEP3) bind to the SAP locus, which indicates that SAP is expressed in a floral organ-specific manner. Reporter gene analyses in combination with CRISPR/Cas9-mediated deletion of putative regulatory regions further demonstrated that the intron contains major regulatory elements of SAP in Arabidopsis thaliana.
In conclusion, these data indicate that SAP is a pleiotropic developmental regulator that acts through tissue-specific destabilization of proteins. The presumed transcriptional regulation of SAP by the floral MADS-domain transcription factors could provide a missing link between the specification of floral organ identity and floral organ growth pathways.
Infection on the move
(2019)
Movement plays a major role in shaping population densities and contact rates among individuals, two factors that are particularly relevant for disease outbreaks. Although any differences in movement behaviour due to individual characteristics of the host and heterogeneity in landscape structure are likely to have considerable consequences for disease dynamics, these mechanisms are neglected in most epidemiological studies. Therefore, developing a general understanding how the interaction of movement behaviour and spatial heterogeneity shapes host densities, contact rates and ultimately pathogen spread is a key question in ecological and epidemiological research.
In my thesis, I address this gap using both theoretical and empirical modelling approaches. In the theoretical part of my thesis, I investigated bottom-up effects of individual movement behaviour and landscape structure on host density, contact rates, and ultimately disease dynamics. I extended an established agent-based model that simulates ecological and epidemiological key processes to incorporate explicit movement of host individuals and landscape complexity. Neutral landscape models are a powerful basis for spatially-explicit modelling studies to imitate the complex characteristics of natural landscapes. In chapter 2, the first study of my thesis, I introduce two complementary R packages, NLMR and landscapetools, that I have co-developed to simplify the workflow of simulation and customization of such landscapes. To demonstrate the use of the packages I present a case study using the spatially explicit eco-epidemiological model and show that landscape complexity per se increases the probability of disease persistence. By using simple rules to simulate explicit host movement, I highlight in chapter 3 how disease dynamics are affected by population-level properties emerging from different movement rules leading to differences in the realized movement distance, spatiotemporal host density, and heterogeneity in transmission rates. As a consequence, mechanistic movement decisions based on the underlying landscape or conspecific competition led to considerably higher probabilities than phenomenological random walk approaches due directed movement leading to spatiotemporal differences in host densities. The results of these two chapters highlight the need to explicitly consider spatial heterogeneity and host movement behaviour when theoretical approaches are used to assess control measures to prevent outbreaks or eradicate diseases.
In the empirical part of my thesis (chapter 4), I focus on the spatiotemporal dynamics of Classical Swine Fever in a wild boar population by analysing epidemiological data that was collected during an outbreak in Northern Germany persisting for eight years. I show that infection risk exhibits different seasonal patterns on the individual and the regional level. These patterns on the one hand show a higher infection risk in autumn and winter that may arise due to onset of mating behaviour and hunting intensity, which result in increased movement ranges. On the other hand, the increased infection risk of piglets, especially during the birth season, indicates the importance of new susceptible host individuals for local pathogen spread. The findings of this chapter underline the importance of different spatial and temporal scales to understand different components of pathogen spread that can have important implications for disease management.
Taken together, the complementary use of theoretical and empirical modelling in my thesis highlights that our inferences about disease dynamics depend heavily on the spatial and temporal resolution used and how the inclusion of explicit mechanisms underlying hosts movement are modelled. My findings are an important step towards the incorporation of spatial heterogeneity and a mechanism-based perspective in eco-epidemiological approaches. This will ultimately lead to an enhanced understanding of the feedbacks of contact rates on pathogen spread and disease persistence that are of paramount importance to improve predictive models at the interface of ecology and epidemiology.
Im Mittelpunkt dieser Arbeit standen Analysen zur Charakterisierung der periplasmatischen Aldehyd Oxidoreduktase aus E. coli. Kinetische Untersuchungen mit Ferricyanid als Elektronenakzeptor unter anaeroben Bedingungen zeigten für dieses Enzym eine höhere Aktivität als unter aeroben Bedingungen. Die getroffene Hypothese, dass PaoABC fähig ist Elektronen an molekularen Sauerstoff weiter zu geben, konnte bestätigt werden. Für den Umsatz aromatischer Aldehyde mit molekularem Sauerstoff wurde ein Optimum von pH 6,0 ermittelt. Dies steht im Gegensatz zur Reaktion mit Ferricyanid, mit welchem ein pH-Optimum von 4,0 gezeigt wurde. Die Reaktion von PaoABC mit molekularem Sauerstoff generiert zwar Wasserstoffperoxid, die Produktion von Superoxid konnte dagegen nicht beobachtet werden. Dass aerobe Bedingungen einen Einfluss auf das Auslösen der Expression von PaoABC haben, wurde in dieser Arbeit ebenfalls ermittelt.
Im Zusammenhang mit der Produktion von ROS durch PaoABC wurde die Funktion eines kürzlich in Elektronentransfer-Distanz zum FAD identifizierten [4Fe4S]-Clusters untersucht. Ein Austausch der für die Bindung des Clusters zuständigen Cysteine führte zur Instabilität der Proteinvarianten, weswegen für diese keine weiteren Untersuchungen erfolgten. Daher wird zumindest ein struktur-stabilisierender Einfluss des [4Fe4S]-Clusters angenommen. Zur weiteren Untersuchung der Funktion dieses Clusters, wurde ein zwischen FAD und [4Fe4S]-Cluster lokalisiertes Arginin gegen ein Alanin ausgetauscht. Diese Proteinvariante zeigte eine reduzierte Geschwindigkeit der Reaktion gegenüber dem Wildtyp. Die Bildung von Superoxid konnte auch hier nicht beobachtet werden. Die Vermutung, dass dieser Cluster einen elektronen-sammelnden Mechanismus unterstützt, welcher die Radikalbildung verhindert, kann trotz allem nicht ausgeschlossen werden. Da im Umkreis des Arginins weitere geladene und aromatische Aminosäuren lokalisiert sind, können diese den notwendigen Elektronentransfer übernehmen.
Neben der Ermittlung eines physiologischen Elektronenakzeptors und dessen Einfluss auf die Expression von PaoABC zeigt diese Arbeit auch, dass die Chaperone PaoD und MocA während der Reifung des MCD-Kofaktor eine gemeinsame Bindung an PaoABC realisieren. Es konnte im aktiven Zentrum von PaoABC ein Arginin beschrieben werden, welches auf Grund der engen Nachbarschaft zum MCD-Kofaktor und zum Glutamat (PaoABC-EC692) am Prozess der Substratbindung beteiligt ist. Im Zusammenhang mit dem Austausch dieses Arginins gegen ein Histidin oder ein Lysin wurden die Enzymspezifität und der Einfluss physiologischer Bedingungen, wie pH und Ionenstärke, auf die Reaktion des Enzyms untersucht. Gegenüber dem Wildtyp zeigten die Varianten mit molekularem Sauerstoff eine geringere Affinität zum Substrat aber auch eine höhere Geschwindigkeit der Reaktion. Vor allem für die Histidin-Variante konnte im gesamten pH-Bereich ein instabiles Verhalten bestimmt werden. Der Grund dafür wurde durch das Lösen der Struktur der Histidin-Variante beschreiben. Durch den Austausch der Aminosäuren entfällt die stabilisierende Wirkung der delokalisierten Elektronen des Arginins und es kommt zu einer Konformationsänderung im aktiven Zentrum.
Neben der Reaktion von PaoABC mit einer Vielzahl aromatischer Aldehyde konnte auch der Umsatz von Salicylaldehyd zu Salicylsäure durch PaoABC in einer Farbreaktion bestimmt werden. Durch Ausschluss von molekularem Sauerstoff als terminaler Elektronenakzeptor, in einer enzym-gekoppelten Reaktion, erfolgte ein Elektronentransport auf Ferrocencarboxylsäure. Die Kombination aus beiden Methoden ermöglichte eine Verwendung von Ferrocen-Derivaten zur Generierung einer enzym-gekoppelten Reaktion mit PaoABC.
Die Untersuchungen zu PaoABC zeigen, dass die Vielfalt der durch das Enzym katalysierten Rektionen weitere Möglichkeiten der enzymatischen Bestimmung biokatalytischer Prozesse bietet.