Predicting plant growth response under fluctuating temperature by carbon balance modelling

This study uses Fourier polynomials combined with a block diagram simulation of plant metabolism to predict plant growth response to fluctuating temperatures. Experimental time-series data on photosynthesis and carbohydrate metabolism in Arabidopsis thaliana were used to develop the model. Simulations predicted that reduced sucrose biosynthesis and increased starch biosynthesis capacity would stabilize carbon assimilation under transient heat stress. These predictions were experimentally validated, suggesting Fourier polynomials as a useful tool for studying plant-environment interactions.

Charlotte Seydel, Julia Biener, Vladimir Brodsky, Svenja Eberlein, Thomas Nägele