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B5: Predicting reaction norms of enzyme and metabolite concentrations in Arabidopsis thaliana exposed to different nitrogen availability and temperature regimes

Prof. Dr. Zoran Nikoloski

Institute for Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm

Tel. +49-331-9776305, zoran.nikoloskiuni-potsdamde

https://www.mpimp-golm.mpg.de/8360/nikoloski

https://www.uni-potsdam.de/en/ibb-bioinformatik/index

 

Open positions:

Position CRC1644/B51– PhD student Nikoloski group

Position CRC1644/B52– PhD student Nikoloski group

 

Summary

We will study the plasticity of plant metabolism and growth to nitrogen availability and to temperature. Directly measuring the metabolic fluxes that convert carbon and nutrients into the building blocks for plant growth is very challenging. Thus, the project will use advanced metabolic modelling and thermodynamic metabolic flux analysis to predict and study the reaction norms of protein and metabolite concentrations in response to the two environmental cues. The influence of network position of a given metabolite on the shape of its reaction norms and the limits to its plasticity will be analysed, and plasticity genes will be identified.

 

Project-related publications

Kleessen, S., Laitinen, R., Fusari, C. M., Antonio, C., Sulpice, R., Fernie, A. R., Stitt, M., Nikoloski, Z. (2014) Metabolic efficiency underpins performance trade-offs in growth of Arabidopsis thaliana.Nature Communications 28(5): 3537.

Tong, H., Küken, A., Razaghi-Moghadam, Z., Nikoloski, Z. (2021) Characterization of effects of genetic variants via genome-scale metabolic modelling. Cellular and Molecular Life Sciences. (invited review).

Küken, A., Eloundou-Mbebi, J. M. O., Basler, G., Nikoloski, Z. (2019) Cellular determinants of metabolite concentration ranges.PLoS Computational Biology 15(1): e1006687.

Küken, A., Gennermann, K., Nikoloski, Z. (2020) Characterization of maximal enzyme catalytic rates in central metabolism of Arabidopsis thaliana.The Plant Journal 103, 2168-2177.

Tong, H., Küken, A., Nikoloski, Z. (2020) Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth. Nature Communications11:2410.

Arnold, A., Nikoloski, Z. (2014) Bottom-up Metabolic Reconstruction of Arabidopsis and Its Application to Determining the Metabolic Costs of Enzyme Production.Plant Physiology 165: 1380-1391.