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Impact of the Genetic–Environment Interaction on the Dynamic of Nitrogen Pools in Arabidopsis

Author

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  • Giorgiana Chietera

    (Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, 78000 Versailles, France)

  • Sylvain Chaillou

    (Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, 78000 Versailles, France)

  • Magali Bedu

    (Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, 78000 Versailles, France
    AgroParisTech, UMR GENIAL, 1 Avenue des Olympiades, 91744 MASSY CEDEX, France)

  • Anne Marmagne

    (Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, 78000 Versailles, France)

  • Céline Masclaux-Daubresse

    (Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, 78000 Versailles, France)

  • Fabien Chardon

    (Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, 78000 Versailles, France)

Abstract

Mineral nutrient availability and in particular nitrogen abundance has a huge impact on plant fitness and yield, so that plants have developed sophisticated adaptive mechanisms to cope with environmental fluctuations. The vast natural variation existing among the individuals of a single species constitutes a great potential to decipher complex traits such as nutrient use efficiency. By using natural accessions of Arabidopsis thaliana that differ for their pattern of adaptation to nitrogen stress, we investigated the plant response to nitrate supplies ranging from 0.01 mM up to 50 mM nitrate. The biomass allocation and the different nitrogen pools in shoot and in roots were monitored to establish the nutrition status of each plant. Analysis of variation for these traits revealed genetic differences between accessions for their sensibility to nitrate availability and for their capacity to produce shoot biomass with the same nitrogen nutrition index. From the correlation matrix of all traits measured, a statistical model was formulated to predict the shoot projected area from the nitrate supply. The proposed model points out the importance of genetic variation with respect to the correlation between root thickness and amino acids content in roots. The model provides potential new targets in plant breeding for nitrogen use efficiency.

Suggested Citation

  • Giorgiana Chietera & Sylvain Chaillou & Magali Bedu & Anne Marmagne & Céline Masclaux-Daubresse & Fabien Chardon, 2018. "Impact of the Genetic–Environment Interaction on the Dynamic of Nitrogen Pools in Arabidopsis," Agriculture, MDPI, vol. 8(2), pages 1-19, February.
  • Handle: RePEc:gam:jagris:v:8:y:2018:i:2:p:28-:d:131975
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    References listed on IDEAS

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    1. A. De Angeli & D. Monachello & G. Ephritikhine & J. M. Frachisse & S. Thomine & F. Gambale & H. Barbier-Brygoo, 2006. "The nitrate/proton antiporter AtCLCa mediates nitrate accumulation in plant vacuoles," Nature, Nature, vol. 442(7105), pages 939-942, August.
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    Cited by:

    1. Urs Feller & Stanislav Kopriva & Valya Vassileva, 2018. "Plant Nutrient Dynamics in Stressful Environments: Needs Interfere with Burdens," Agriculture, MDPI, vol. 8(7), pages 1-6, July.
    2. Yingying Xing & Xiaoli Niu & Ning Wang & Wenting Jiang & Yaguang Gao & Xiukang Wang, 2020. "The Correlation between Soil Nutrient and Potato Quality in Loess Plateau of China Based on PLSR," Sustainability, MDPI, vol. 12(4), pages 1-17, February.

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