A mechanistic model for the light response of photosynthetic electron transport rate based on light harvesting properties of photosynthetic pigment molecules

A mechanistic model for the light response of photosynthetic electron transport rate based on light harvesting properties of photosynthetic pigment molecules
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基于光合色素分子的光捕获特性的光合电子传输速率的光响应机制模型

DOI:
10.1007/s00425-012-1790-z
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发表时间:
2012
期刊:
影响因子:
4.3
通讯作者:
叶子飘
叶子飘
中科院分区:
生物学2区
文献类型:
--
作者:
叶子飘

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描述光合电子传递速率(ETR)的光响应的模型通常用于确定光吸收如何影响能量,降低功率和初级生产力的产量;然而,目前没有一个模型能够提供洞察的基本过程,隐含地管理光吸收的变化。在这里,我们提出了一个新的机制模型的ETR的光系统II的基础上的光捕获(吸收和转移到核心的“反应中心”)的光合色素分子的特性的发展和应用。在这个模型中,一系列方程被用来描述光合色素分子的新的生物物理和生物化学特性,进而描述光捕获;具体地说,本征吸收截面和激发态光合色素分子的最小平均寿命,其描述了光合色素分子的光吸收能力和激子在激发态的保留时间,但难以直接测量。我们应用这个模型的一系列先前收集的荧光数据,并表明,我们的模型很好地描述了光响应曲线的ETR,无论是否发生动态下调PSII,为一系列的光合生物(冷杉,云杉,穆戈松andEmiliania huxleyi)。固有的估计参数(如最大ETR和饱和辐照度),我们的模型是在非常接近的协议与实测数据。总的来说,我们的机制模型可能提供了新的见解ETR的光捕获性能的调节,以及动态下调PSII。
Models describing the light response of photosynthetic electron transport rate (ETR) are routinely used to determine how light absorption influences energy, reducing power and yields of primary productivity; however, no single model is currently able to provide insight into the fundamental processes that implicitly govern the variability of light absorption. Here we present development and application of a new mechanistic model of ETR for photosystem II based on the light harvesting (absorption and transfer to the core ‘reaction centres’) characteristics of photosynthetic pigment molecules. Within this model a series of equations are used to describe novel biophysical and biochemical characteristics of photosynthetic pigment molecules and in turn light harvesting; specifically, the eigen-absorption cross-section and the minimum average lifetime of photosynthetic pigment molecules in the excited state, which describe the ability of light absorption of photosynthetic pigment molecules and retention time of excitons in the excited state but are difficult to be measured directly. We applied this model to a series of previously collected fluorescence data and demonstrated that our model described well the light response curves of ETR, regardless of whether dynamic down-regulation of PSII occurs, for a range of photosynthetic organisms (Abies alba,Picea abies,Pinus mugoandEmiliania huxleyi). Inherent estimated parameters (e.g. maximum ETR and the saturation irradiance) by our model are in very close agreement with the measured data. Overall, our mechanistic model potentially provides novel insights into the regulation of ETR by light harvesting properties as well as dynamical down-regulation of PSII.
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