Exploring the optimum nitrogen partitioning to predict the acclimation of C3 leaf photosynthesis to varying growth conditions (2024)

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Abstract

The distribution of leaf nitrogen among photosynthetic proteins (i.e. chlorophyll, the electron transport system, Rubisco, and other soluble proteins) responds to environmental changes. We hypothesize that this response may underlie the biochemical aspect of leaf acclimation to the growth environment, and describe an analytical method to solve optimum nitrogen partitioning for maximized photosynthesis in C3 leaves. The method predicts a high investment of nitrogen in Rubisco under conditions leading to excessive energy supply relative to metabolic demand (e.g. low temperature, high light, low nitrogen, or low CO2). Conversely, more nitrogen is invested in chlorophyll when the energy supply is limiting. Overall, our optimization results are qualitatively consistent with literature reports. Commonly reported changes in photosynthetic parameters with growth temperature were emergent properties of the optimum nitrogen partitioning. The method was used to simulate dynamic acclimation under varying environmental conditions, using first-order kinetics. Simulated diurnal patterns of leaf photosynthetic rates as a result of acclimation differed greatly from those without acclimation (Awithout). However, differences in predicted photosynthesis integrated over a day or over the growing season from Awithout depended on the value of the kinetic time constant (τ), suggesting that τ is a critical parameter determining the overall impact of nitrogen distribution on acclimated photosynthesis.

Original language	English
Pages (from-to)	2435-2447
Number of pages	13
Journal	Journal of Experimental Botany
Volume	70
Issue number	9
Early online date	25 Jul 2018
DOIs	https://doi.org/10.1093/jxb/ery277
Publication status	Published - 15 Apr 2019

Keywords

Acclimation
Chlorophyll
Electron transport
Modelling
Optimization
Photosynthesis
Rubisco

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10.1093/jxb/ery277Licence: CC BY

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Yin, X., Schapendonk, A. H. C. M. (2019). Exploring the optimum nitrogen partitioning to predict the acclimation of C3 leaf photosynthesis to varying growth conditions. Journal of Experimental Botany, 70(9), 2435-2447. https://doi.org/10.1093/jxb/ery277

Yin, Xinyou ; Schapendonk, Ad H.C.M. ; Struik, Paul C. / Exploring the optimum nitrogen partitioning to predict the acclimation of C3 leaf photosynthesis to varying growth conditions. In: Journal of Experimental Botany. 2019 ; Vol. 70, No. 9. pp. 2435-2447.

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abstract = "The distribution of leaf nitrogen among photosynthetic proteins (i.e. chlorophyll, the electron transport system, Rubisco, and other soluble proteins) responds to environmental changes. We hypothesize that this response may underlie the biochemical aspect of leaf acclimation to the growth environment, and describe an analytical method to solve optimum nitrogen partitioning for maximized photosynthesis in C3 leaves. The method predicts a high investment of nitrogen in Rubisco under conditions leading to excessive energy supply relative to metabolic demand (e.g. low temperature, high light, low nitrogen, or low CO2). Conversely, more nitrogen is invested in chlorophyll when the energy supply is limiting. Overall, our optimization results are qualitatively consistent with literature reports. Commonly reported changes in photosynthetic parameters with growth temperature were emergent properties of the optimum nitrogen partitioning. The method was used to simulate dynamic acclimation under varying environmental conditions, using first-order kinetics. Simulated diurnal patterns of leaf photosynthetic rates as a result of acclimation differed greatly from those without acclimation (Awithout). However, differences in predicted photosynthesis integrated over a day or over the growing season from Awithout depended on the value of the kinetic time constant (τ), suggesting that τ is a critical parameter determining the overall impact of nitrogen distribution on acclimated photosynthesis.",

keywords = "Acclimation, Chlorophyll, Electron transport, Modelling, Optimization, Photosynthesis, Rubisco",

author = "Xinyou Yin and Schapendonk, {Ad H.C.M.} and Struik, {Paul C.}",

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doi = "10.1093/jxb/ery277",

language = "English",

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See Also

Photosynthesis Lab (online lab)

issn = "0022-0957",

publisher = "Oxford University Press",

number = "9",

}

Yin, X, Schapendonk, AHCM 2019, 'Exploring the optimum nitrogen partitioning to predict the acclimation of C3 leaf photosynthesis to varying growth conditions', Journal of Experimental Botany, vol. 70, no. 9, pp. 2435-2447. https://doi.org/10.1093/jxb/ery277

Exploring the optimum nitrogen partitioning to predict the acclimation of C3 leaf photosynthesis to varying growth conditions. / Yin, Xinyou; Schapendonk, Ad H.C.M.; Struik, Paul C.
In: Journal of Experimental Botany, Vol. 70, No. 9, 15.04.2019, p. 2435-2447.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Exploring the optimum nitrogen partitioning to predict the acclimation of C3 leaf photosynthesis to varying growth conditions

AU - Yin, Xinyou

AU - Schapendonk, Ad H.C.M.

AU - Struik, Paul C.

PY - 2019/4/15

Y1 - 2019/4/15

N2 - The distribution of leaf nitrogen among photosynthetic proteins (i.e. chlorophyll, the electron transport system, Rubisco, and other soluble proteins) responds to environmental changes. We hypothesize that this response may underlie the biochemical aspect of leaf acclimation to the growth environment, and describe an analytical method to solve optimum nitrogen partitioning for maximized photosynthesis in C3 leaves. The method predicts a high investment of nitrogen in Rubisco under conditions leading to excessive energy supply relative to metabolic demand (e.g. low temperature, high light, low nitrogen, or low CO2). Conversely, more nitrogen is invested in chlorophyll when the energy supply is limiting. Overall, our optimization results are qualitatively consistent with literature reports. Commonly reported changes in photosynthetic parameters with growth temperature were emergent properties of the optimum nitrogen partitioning. The method was used to simulate dynamic acclimation under varying environmental conditions, using first-order kinetics. Simulated diurnal patterns of leaf photosynthetic rates as a result of acclimation differed greatly from those without acclimation (Awithout). However, differences in predicted photosynthesis integrated over a day or over the growing season from Awithout depended on the value of the kinetic time constant (τ), suggesting that τ is a critical parameter determining the overall impact of nitrogen distribution on acclimated photosynthesis.

AB - The distribution of leaf nitrogen among photosynthetic proteins (i.e. chlorophyll, the electron transport system, Rubisco, and other soluble proteins) responds to environmental changes. We hypothesize that this response may underlie the biochemical aspect of leaf acclimation to the growth environment, and describe an analytical method to solve optimum nitrogen partitioning for maximized photosynthesis in C3 leaves. The method predicts a high investment of nitrogen in Rubisco under conditions leading to excessive energy supply relative to metabolic demand (e.g. low temperature, high light, low nitrogen, or low CO2). Conversely, more nitrogen is invested in chlorophyll when the energy supply is limiting. Overall, our optimization results are qualitatively consistent with literature reports. Commonly reported changes in photosynthetic parameters with growth temperature were emergent properties of the optimum nitrogen partitioning. The method was used to simulate dynamic acclimation under varying environmental conditions, using first-order kinetics. Simulated diurnal patterns of leaf photosynthetic rates as a result of acclimation differed greatly from those without acclimation (Awithout). However, differences in predicted photosynthesis integrated over a day or over the growing season from Awithout depended on the value of the kinetic time constant (τ), suggesting that τ is a critical parameter determining the overall impact of nitrogen distribution on acclimated photosynthesis.

KW - Acclimation

KW - Chlorophyll

KW - Electron transport

KW - Modelling

KW - Optimization

KW - Photosynthesis

KW - Rubisco

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DO - 10.1093/jxb/ery277

M3 - Article

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VL - 70

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EP - 2447

JO - Journal of Experimental Botany

JF - Journal of Experimental Botany

IS - 9

ER -

Yin X, Schapendonk AHCM, Struik PC. Exploring the optimum nitrogen partitioning to predict the acclimation of C3 leaf photosynthesis to varying growth conditions. Journal of Experimental Botany. 2019 Apr 15;70(9):2435-2447. Epub 2018 Jul 25. doi: 10.1093/jxb/ery277

FAQs

What are the optimal conditions under which photorespiration is likely to occur in C3 plants? ›

It is well known that C₃ plants photorespire when they are under temperature stress and when atmospheric CO₂ levels are low (Ehleringer et al., 1991).

Find Out More ›

Do different leaves have different rates of photosynthesis? ›

In summary, plants produce leaves with a continuum of photosynthetic characteristics, ranging from short-lived thin leaves with a high nitrogen concentration and high photosynthetic rate to long-lived dense leaves with a low nitrogen concentration and low photosynthetic rate.

Discover More ›

What are the conditions for C3 photosynthesis? ›

PHOTOSYNTHESIS AND PARTITIONING | C3 Plants

The performance and productivity of C₃ plants is restricted by at least three major factors: high photorespiration (a nonavoidable consequence of oxygenase activity of rubisco), a high water requirement, and a preference for temperate regions.

Get More Info ›

How do C3 plants avoid photorespiration? ›

The key enzyme that accomplishes the fixing of carbon is rubisco, and at low concentrations of CO₂ it begins to fix oxygen instead. Under moderate temperature conditions when C3 plants have sufficient water, the supply of carbon dioxide is abundant and photorespiration is not a problem.

Learn More ›

How does photorespiration occur in C3 plants? ›

Photorespiration in plants occurs through: When RuBisCO attaches to oxygen molecules in C3 plants, the process deviates from the regular metabolic route. When RuBP and oxygen molecules combine, one molecule of phosphoglycerate and one molecule of phosphoglycolate is formed. This process is known as photorespiration.

Under what conditions does photorespiration usually occur? ›

Photorespiration is enhanced in hot, dry environments when plant cells close stomata to slow water loss, CO₂ is depleted and O₂ accumulates. Photorespiration does not occur in prokaryotes, because of the much lower relative concentration of O₂ versus CO₂ in water compared with air.

What is the optimum temperature for C3 plants? ›

An optimum temperature is required for different types of photosynthesis to take place. The C3 plants survive at a lower temperature conditions, while C4 plants survive at a higher range of temperatures. C3 plant requires an optimum temperature of 18oC−24oC . C4 plant requires an optimum temperature of 32oC−55oC .