Metabolic efficiency underpins performance trade-offs in growth of Arabidopsis thaliana

Sabrina Kleessen, Roosa Laitinen, Corina M. Fusari, Carla Antonio, Ronan Sulpice, Alisdair R. Fernie, Mark Stitt and Zoran Nikoloski ()
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Sabrina Kleessen: Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology
Roosa Laitinen: Molecular Mechanisms of Adaptation Group, Max Planck Institute of Molecular Plant Physiology
Corina M. Fusari: System Regulation Group, Max Planck Institute of Molecular Plant Physiology
Carla Antonio: Central Metabolism Group, Max Planck Institute of Molecular Plant Physiology
Ronan Sulpice: System Regulation Group, Max Planck Institute of Molecular Plant Physiology
Alisdair R. Fernie: Central Metabolism Group, Max Planck Institute of Molecular Plant Physiology
Mark Stitt: System Regulation Group, Max Planck Institute of Molecular Plant Physiology
Zoran Nikoloski: Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology

Nature Communications, 2014, vol. 5, issue 1, 1-10

Abstract: Abstract Growth often involves a trade-off between the performance of contending tasks; metabolic plasticity can play an important role. Here we grow 97 Arabidopsis thaliana accessions in three conditions with a differing supply of carbon and nitrogen and identify a trade-off between two tasks required for rosette growth: increasing the physical size and increasing the protein concentration. We employ the Pareto performance frontier concept to rank accessions based on their multitask performance; only a few accessions achieve a good trade-off under all three growth conditions. We determine metabolic efficiency in each accession and condition by using metabolite levels and activities of enzymes involved in growth and protein synthesis. We demonstrate that accessions with high metabolic efficiency lie closer to the performance frontier and show increased metabolic plasticity. We illustrate how public domain data can be used to search for additional contending tasks, which may underlie the sub-optimality in some accessions.

Date: 2014
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DOI: 10.1038/ncomms4537

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