Skip to main content

B4: Plasticity of photorespiratory activity in Arabidopsis thaliana in response to nitrogen

Prof. Dr. Alisdair Fernie

Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm

Tel. +49-331-5678211, ferniempimp-golm.mpgde

 

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

 

Summary

We will study plasticity in photorespiration to variation in nitrogen availability. Photorespiration recycles the toxic product from the oxygenation reaction of RubisCO into the central carbon metabolism; it is thus wasteful, but also essential. The rate of photorespiration is plastic to nitrogen availability. The project will combine high-throughput metabolite measurements and refined constraint-based computational modelling to estimate photorespiratory fluxes across a panel of Arabidopsis accessions grown in a range of environments. Based on this, plasticity genes will be identified and functionally analysed.

 

Project-related publications

Bauwe H, Hagemann M, Fernie AR (2010). Photorespiration: players, partners and origin.Trends Plant Sci. 15:330-6.

Fernie AR, Bauwe H (2020). Wasteful, essential, evolutionary stepping stone? The multiple personalities of the photorespiratory pathway.Plant J 102: 666-677.

Pandey P K, Yu J, Omranian N, Alseekh S, Vaid N, Fernie AR, Nikoloski Z, Laitinen R (2019) Plasticity in metabolism underpins local responses to nitrogen in Arabidopsis thaliana populations.Plant Direct 3: 186

Sajitz-Hermstein M, Töpfer N, Kleessen S, Fernie AR, Nikoloski Z (2016) iReMet-flux: constraintbased approach for integrating relative metabolite levels into a stoichiometric metabolic models.Bioinformatics 32(17): i755-i762.

Szecowka M, Heise R, Tohge T, Nunes-Nesi A, Vosloh D, Huege J, Feil R, Lunn J, Nikoloski Z, Stitt M, Fernie AR, Arrivault S (2013). Metabolic fluxes in an illuminated Arabidopsis rosette. Plant Cell 25: 694-714.

Tong H, Küken A, Nikoloski Z (2020) Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth.Nature Communications 11:2410.

Wu S, Alseekh S, Brotman Y, Fernie AR (2021). Metabolomic analysis of natural variation in Arabidopsis. Methods Mol Biol 2200: 393-411