Mechanistic Systems modelling of plant environmental adaptation and CAM photosynthesis engineering
MECHSYS aims to develop a computational framework to model plant interactions with their environment, enhancing understanding of evolution and optimizing drought-resistant crop strategies.
Projectdetails
Introduction
A major goal of evolutionary biology is to reconstruct evolutionary trajectories and outcomes from mechanistic descriptions of the interactions between organisms and their environment. This goal is rarely reached due to the complexity of these interactions and their effects on fitness.
Advances in Technology
Recent advances in computer technology that facilitate the solution and optimization of large mathematical systems have now brought such models into reach.
Project Overview
In MECHSYS, I propose to develop a computational framework that builds on biochemical and physical principles to reconstruct how the interaction of the environment with plant anatomy, water transport, photosynthesis, and metabolism shapes plant physiology and fitness.
Mathematical Model
Mathematically, the model comprises:
- Thermal balances
- Balances of metabolites and water in different plant organs
- Balances in the compartments of leaf cells
The model will use net CO2 fixation per root area over multiple days as a proxy for fitness. For a given climate and soil, the model will estimate fitness based on anatomical parameters and on systems-level protein concentrations and enzyme regulation.
Implications of Estimates
These estimates will allow us to rationalize the evolution and/or predominance of different types of plants in specific habitats.
Validation Process
We will validate the model against proteomics and metabolomics data from representatives of C3 plants and the much more water-use-efficient CAM plants, covering desert plants as well as epiphytes.
Simulation of Evolutionary Trajectories
Moreover, we will simulate evolutionary trajectories towards CAM photosynthesis and succulence, two traits whose evolution appears to be interlinked.
Application for Crop Engineering
Finally, we will utilize the model to propose optimal strategies for engineering crops to become more drought-resistant in increasingly hotter and drier climates.
Conclusion
Overall, MECHSYS will establish, test, and apply a ground-breaking, mechanistic systems modeling framework for evolutionary plant biology, which will allow deep insights into the selective forces that shape plant physiology and evolution.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.711.101 |
Totale projectbegroting | € 1.711.101 |
Tijdlijn
Startdatum | 1-11-2022 |
Einddatum | 31-10-2027 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- HEINRICH-HEINE-UNIVERSITAET DUESSELDORFpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Metabolic flexibility in drought: Leveraging Portulaca for defining design principles for a combined C4-CAM pathwayThe project aims to engineer a C4-CAM photosynthetic system in crops by identifying molecular determinants in Portulaca, enhancing resilience to heat and drought for improved yields. | ERC Starting... | € 1.500.000 | 2024 | Details |
Mapping vast functional landscapes with single-species resolution: a new approach for precision engineering of microbial consortiaECOPROSPECTOR aims to optimize microbial community composition for enhanced starch hydrolysis using machine learning and evolutionary theories, bridging ecology and biotechnology. | ERC Consolid... | € 1.991.470 | 2023 | Details |
Reconstruction of specialized metabolite evolution through molecular switchesThis project aims to uncover how regulatory networks facilitate the exchange of metabolic pathways in plants, enhancing our understanding of evolutionary innovation for crop improvement and bio-engineering. | ERC Starting... | € 1.498.000 | 2025 | Details |
Evolutionary Cellular Computing for Environmental Synthetic BiologyThe ECCO project aims to create self-adaptive living cellular computers for bioremediation, enhancing robustness and efficiency through intra- and multi-cellular reconfigurability. | ERC Consolid... | € 2.131.809 | 2022 | Details |
Plants as a window on emergent memory and computation in dynamical distributed multicellular systemsThis project investigates how plants use stochastic hormone transport for sensory information processing and movement control, aiming to uncover principles of distributed computation in biological systems. | ERC Starting... | € 1.500.000 | 2024 | Details |
Metabolic flexibility in drought: Leveraging Portulaca for defining design principles for a combined C4-CAM pathway
The project aims to engineer a C4-CAM photosynthetic system in crops by identifying molecular determinants in Portulaca, enhancing resilience to heat and drought for improved yields.
Mapping vast functional landscapes with single-species resolution: a new approach for precision engineering of microbial consortia
ECOPROSPECTOR aims to optimize microbial community composition for enhanced starch hydrolysis using machine learning and evolutionary theories, bridging ecology and biotechnology.
Reconstruction of specialized metabolite evolution through molecular switches
This project aims to uncover how regulatory networks facilitate the exchange of metabolic pathways in plants, enhancing our understanding of evolutionary innovation for crop improvement and bio-engineering.
Evolutionary Cellular Computing for Environmental Synthetic Biology
The ECCO project aims to create self-adaptive living cellular computers for bioremediation, enhancing robustness and efficiency through intra- and multi-cellular reconfigurability.
Plants as a window on emergent memory and computation in dynamical distributed multicellular systems
This project investigates how plants use stochastic hormone transport for sensory information processing and movement control, aiming to uncover principles of distributed computation in biological systems.