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

Plants continually adjust the photosynthetic functions in their leaves to fluctuating light, thereby optimizing the use of photosynthetic nitrogen (N(ph)) at the canopy level. To investigate the complex interplay between external signals during the acclimation processes, a mechanistic model based on...

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Detalles Bibliográficos
Autores principales: Pao, Yi-Chen, Chen, Tsu-Wei, Moualeu-Ngangue, Dany Pascal, Stützel, Hartmut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519421/
https://www.ncbi.nlm.nih.gov/pubmed/30124935
http://dx.doi.org/10.1093/jxb/ery308
Descripción
Sumario:Plants continually adjust the photosynthetic functions in their leaves to fluctuating light, thereby optimizing the use of photosynthetic nitrogen (N(ph)) 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 N(ph) distribution along canopy depth or N(ph) partitioning between functional pools. Our analyses suggest that N(ph) distribution is close to optimum and N(ph) reallocation is more important under low nitrogen. N(ph) 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 N(ph) partitioning. Our results provide insights into photoacclimation and can be applied to crop model improvement.