Environmental triggers for photosynthetic protein turnover determine the optimal nitrogen distribution and partitioning in the canopy

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Yi Chen Pao
  • Tsu Wei Chen
  • Dany Pascal Moualeu-Ngangue
  • Hartmut Stützel
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Details

Original languageEnglish
Pages (from-to)2419-2434
Number of pages16
JournalJournal of experimental botany
Volume70
Issue number9
Early online date17 Aug 2018
Publication statusPublished - 15 Apr 2019

Abstract

Plants continually adjust the photosynthetic functions in their leaves to fluctuating light, thereby optimizing the use of photosynthetic nitrogen (Nph) at the canopy level. To investigate the complex interplay between external signals during the acclimation processes, a mechanistic model based on the concept of protein turnover (synthesis and degradation) was proposed and parameterized using cucumber grown under nine combinations of nitrogen and light in growth chambers. Integrating this dynamic model into a multi-layer canopy model provided accurate predictions of photosynthetic acclimation of greenhouse cucumber canopies grown under high and low nitrogen supply in combination with day-to-day fluctuations in light at two different levels. This allowed us to quantify the degree of optimality in canopy nitrogen use for maximizing canopy carbon assimilation, which was influenced by Nph distribution along canopy depth or Nph partitioning between functional pools. Our analyses suggest that Nph distribution is close to optimum and Nph reallocation is more important under low nitrogen. Nph partitioning is only optimal under a light level similar to the average light intensity during acclimation, meaning that day-to-day light fluctuations inevitably result in suboptimal Nph partitioning. Our results provide insights into photoacclimation and can be applied to crop model improvement.

Keywords

    Functional partitioning, Light, Mechanistic model, Nitrogen reallocation, Nitrogen supply, Optimal, Photosynthetic acclimation, Models, Theoretical, Photosynthesis/physiology, Plant Leaves/metabolism, Nitrogen/metabolism

ASJC Scopus subject areas

Cite this

Environmental triggers for photosynthetic protein turnover determine the optimal nitrogen distribution and partitioning in the canopy. / Pao, Yi Chen; Chen, Tsu Wei; Moualeu-Ngangue, Dany Pascal et al.
In: Journal of experimental botany, Vol. 70, No. 9, 15.04.2019, p. 2419-2434.

Research output: Contribution to journalArticleResearchpeer review

Pao YC, Chen TW, Moualeu-Ngangue DP, Stützel H. Environmental triggers for photosynthetic protein turnover determine the optimal nitrogen distribution and partitioning in the canopy. Journal of experimental botany. 2019 Apr 15;70(9):2419-2434. Epub 2018 Aug 17. doi: 10.1093/jxb/ery308, 10.15488/4717
Pao, Yi Chen ; Chen, Tsu Wei ; Moualeu-Ngangue, Dany Pascal et al. / Environmental triggers for photosynthetic protein turnover determine the optimal nitrogen distribution and partitioning in the canopy. In: Journal of experimental botany. 2019 ; Vol. 70, No. 9. pp. 2419-2434.
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abstract = "Plants continually adjust the photosynthetic functions in their leaves to fluctuating light, thereby optimizing the use of photosynthetic nitrogen (Nph) at the canopy level. To investigate the complex interplay between external signals during the acclimation processes, a mechanistic model based on the concept of protein turnover (synthesis and degradation) was proposed and parameterized using cucumber grown under nine combinations of nitrogen and light in growth chambers. Integrating this dynamic model into a multi-layer canopy model provided accurate predictions of photosynthetic acclimation of greenhouse cucumber canopies grown under high and low nitrogen supply in combination with day-to-day fluctuations in light at two different levels. This allowed us to quantify the degree of optimality in canopy nitrogen use for maximizing canopy carbon assimilation, which was influenced by Nph distribution along canopy depth or Nph partitioning between functional pools. Our analyses suggest that Nph distribution is close to optimum and Nph reallocation is more important under low nitrogen. Nph partitioning is only optimal under a light level similar to the average light intensity during acclimation, meaning that day-to-day light fluctuations inevitably result in suboptimal Nph partitioning. Our results provide insights into photoacclimation and can be applied to crop model improvement.",
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