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

Environmental triggers for photosynthetic protein turnover determine the optimal nitrogen distribution and partitioning in the canopy.
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DOI:
10.1093/jxb/ery308
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发表时间:
2019-04-29
影响因子:
6.9
通讯作者:
Stützel H
Stützel H
中科院分区:
生物学1区
文献类型:
--
作者:
Pao YC;Chen TW;Moualeu-Ngangue DP;Stützel H

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光合作用蛋白质周转的一个机械模型解释了叶片对光和氮的利用率的适应,并表明次优的光合氮分配是由于每天的光照波动。植物不断地调整其叶片的光合功能以适应波动的光,从而优化冠层水平的光合氮(Nph)的利用。为了研究在驯化过程中外部信号之间复杂的相互作用,提出了一种基于蛋白质周转(合成和降解)概念的机制模型,并使用黄瓜生长在9种氮光组合下的生长室进行参数化。将此动态模型集成到一个多层冠层模型中,提供了准确的预测温室黄瓜冠层在高和低氮供应下生长的光合适应,结合在两个不同水平的光照的日常波动。这使我们能够量化冠层氮利用的最佳程度,最大限度地提高冠层碳同化,这是由NPH分布沿着冠层深度或NPH功能池之间的分区的影响。我们的分析表明,Nph分配接近最佳和Nph重新分配是更重要的低氮。Nph分区仅在与驯化期间的平均光强度相似的光水平下是最佳的,这意味着日复一日的光波动不可避免地导致次优的Nph分区。我们的研究结果提供了见解光驯化,并可应用于作物模型的改进。
A mechanistic model of photosynthetic protein turnover explains leaf acclimation to light and nitrogen availabilities and suggests that suboptimal photosynthetic nitrogen partitioning is due to daily light fluctuations. 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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