Dokument: Mathematical models of photosynthesis on multiple temporal scales
| Titel: | Mathematical models of photosynthesis on multiple temporal scales | |||||||
| URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=65335 | |||||||
| URN (NBN): | urn:nbn:de:hbz:061-20240408-091349-8 | |||||||
| Kollektion: | Dissertationen | |||||||
| Sprache: | Englisch | |||||||
| Dokumententyp: | Wissenschaftliche Abschlussarbeiten » Dissertation | |||||||
| Medientyp: | Text | |||||||
| Autor: | Nies, Tim [Autor] | |||||||
| Dateien: |
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| Beitragende: | Univ.-Prof. Dr. Ebenhöh, Oliver [Gutachter] Dr. Matsubara, Shizue [Gutachter] | |||||||
| Dewey Dezimal-Klassifikation: | 500 Naturwissenschaften und Mathematik » 570 Biowissenschaften; Biologie | |||||||
| Beschreibung: | Photosynthesis is a pivotal process for many life forms on Earth, making light energy chemically available and fixing carbon dioxide into biomass. It is, hence, not surprising that many scientific investigations have been dedicated to unraveling the molecular mechanisms of photosynthesis with the aim of biotechnological exploitation or crop enhancement. To dissect these mechanisms, scientists use various experimental and computational methods.
However, despite technological improvements and theoretical advancements, science is still far from fully comprehending all parts of photosynthesis. This lack of comprehension is partially due to the multiple time scales on which photosynthesis unfolds, rendering examining it challenging. In this thesis, I use the power of kinetic modeling to construct several frameworks and conduct in silico analyses to address questions focused on metabolic control, fluorescence signals, and photoprotection spanning a spectrum of temporal dimensions. I start my analysis by looking at steady-state phenomena. Employing a model representation that conceptualizes photosynthesis as a supply-demand system, I identify shifts of metabolic control on carbon fixation depending on external conditions. Following this, I introduce a mathematical model of photoinhibition, a long-term (minutes to hours) photosynthetic process. With the developed computational framework, I derive hypotheses elucidating the mechanistic underpinnings of fluorescence changes observed during high light exposure of plants and their connection to photodamage and protection. Subsequently, my focus narrows to shorter temporal scales (microseconds to minutes) governing photosynthesis. By employing moderately rapid (seconds to minutes) non-photochemical quenching phenomena as a case study, I analyze how varying technical parameters in PAM experiments affect in silico replication. Finally, I will look at the rapid (microseconds to seconds) processes in photosystem II (PSII) to probe the connection between fluorescence and PSII state changes during measurements using a fast repetition rate technique. All models of photosynthesis have undergone testing against experimental data. Each model can reproduce characteristic fluorescence traces observed during experimental measurements. Consequently, these models could serve as a critical part of larger modeling projects, representing photosynthesis. The appropriate model choice depends on the temporal scale for observing photosynthetic phenomena. I envisage that the presented use of previously published (steady-state and NPQ analysis) and new mathematical models (photoinhibition and fast repetition rate technique) will contribute to a deeper understanding of photosynthesis on many of its temporal scales and thus open new paths to sustainable agriculture and biotechnological exploitation of photosynthetic organisms. | |||||||
| Lizenz: |  Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz | |||||||
| Fachbereich / Einrichtung: | Mathematisch- Naturwissenschaftliche Fakultät » WE Biologie | |||||||
| Dokument erstellt am: | 08.04.2024 | |||||||
| Dateien geändert am: | 08.04.2024 | |||||||
| Promotionsantrag am: | 24.10.2023 | |||||||
| Datum der Promotion: | 06.03.2024 |
