Institute of Biophysics in College of Math and Physics, Jinggangshan University, Ji'an 343009, Jiangxi, China.
School of Life Sciences, Nantong University, Nantong 226019, Jiangsu, China.
Ying Yong Sheng Tai Xue Bao. 2023 Jul;34(7):1995-2005. doi: 10.13287/j.1001-9332.202307.003.
Light response curve of photosynthesis (- curve) is a useful modeling tool to investigate how photosynthesis reacts with different abiotic factors, which would help quantify the response of photosynthetic rate to photosynthetically active radiation. Based on the mathematical characteristics of photosynthesis - models, we reviewed the advantages of using these model in practice and the potential caveats. We proposed the development of new mechanistic photosynthesis - models based on the primary light response and discussed its advantages in the field of plant ecology and physiology. Photosynthesis has three main steps, including the primary reaction, the assimilatory power forms, and the carbon assimilation. Changes in each step could directly affect the photochemical efficiency and carbon assimilation in photosynthesis. The primary reaction consists of a series of physical processes that are related to light energy absorption and utilization, including the absorption of light energy, the change of quantum state, and the transfer and de-excitation of exciton resonance of light-trapping pigment molecules. How-ever, the empirical photosynthesis - models can not explain some scenarios. For example, the non-photochemical quenching in plants increases with increasing light intensity in a non-linear manner. Further, the life-time of singlet chlorophyll molecules can be extended when plant light-harvesting pigment molecules absorb excessive light energy but would not be immediately used for the photochemical reaction. Meanwhile, the parameters obtained by fitting the mechanistic - curve model can not only reflect the primary photochemical reaction characteristics of plants, but also describe the physical characteristics of plant light harvesting pigment molecules, such as the number of light harvesting pigment molecules in the excited state () and effective light energy absorption cross-section ('). This can be used to further investigate the physical characteristics of light harvesting pigment molecules, including the light-response of and ' and the average life time of light harvesting pigment molecules in the lowest exciting state (). In addition, it would be necessary to determine how to incorporate abiotic factors, such as temperature and CO concentration, into the mechanistic - curve model, as well as to determine the association between the abiotic factors and light harvesting pigment molecules, such as , ', and .
光合作用光响应曲线（- 曲线）是一种有用的建模工具，可用于研究光合作用如何与不同的非生物因素相互作用，有助于量化光合作用速率对光合有效辐射的响应。基于光合作用- 模型的数学特征，我们回顾了在实践中使用这些模型的优势和潜在的注意事项。我们提出了基于原初光响应开发新的机制光合作用- 模型的设想，并讨论了其在植物生态学和生理学领域的优势。光合作用有三个主要步骤，包括原初反应、同化力形成和碳同化。每个步骤的变化都会直接影响光合作用中的光化学效率和碳同化。原初反应由一系列与光能吸收和利用相关的物理过程组成，包括光能的吸收、量子态的变化以及光捕获色素分子激子共振的传递和退激发。然而，经验性的光合作用- 模型无法解释某些情况。例如，植物中的非光化学猝灭随着光强度的增加以非线性方式增加。此外，当植物的光捕获色素分子吸收过多的光能但不会立即用于光化学反应时，单重态叶绿素分子的寿命可以延长。同时，通过拟合机制- 曲线模型获得的参数不仅可以反映植物的原初光化学反应特性，还可以描述植物光捕获色素分子的物理特性，例如激发态的光捕获色素分子数量（）和有效光能量吸收截面（'）。这可用于进一步研究光捕获色素分子的物理特性，包括和 '的光响应以及最低激发态中光捕获色素分子的平均寿命（）。此外，还需要确定如何将非生物因素（如温度和 CO2 浓度）纳入机制- 曲线模型中，以及确定非生物因素与光捕获色素分子（如、'和）之间的关联。
