Huang Ting, Liu Hui, Tao Jian-Ping, Zhang Jia-Qi, Zhao Tong-Min, Hou Xi-Lin, Xiong Ai-Sheng, You Xiong
College of Horticulture, Nanjing Agricultural University/State Key Laboratory of Crop Genetics and Germplasm Enhancement/Key Laboratory of Horticultural Crop Biology and Germplasm Creation in East China of Ministry of Agriculture and Rural Affairs Nanjing 210095, Jiangsu, China.
The Institute of Agricultural Information, Jiangsu Province Academy of Agricultural Sciences, Nanjing 210014, Jiangsu, China.
Hortic Res. 2023 Apr 25;10(6):uhad077. doi: 10.1093/hr/uhad077. eCollection 2023 Jun.
Photosynthesis is involved in the essential process of transforming light energy into chemical energy. Although the interaction between photosynthesis and the circadian clock has been confirmed, the mechanism of how light intensity affects photosynthesis through the circadian clock remains unclear. Here, we propose a first computational model for circadian-clock-controlled photosynthesis, which consists of the light-sensitive protein P, the core oscillator, photosynthetic genes, and parameters involved in the process of photosynthesis. The model parameters were determined by minimizing the cost function ( [Formula: see text]), which is defined by the errors of expression levels, periods, and phases of the clock genes (, , , , , and ). The model recapitulates the expression pattern of the core oscillator under moderate light intensity (100 μmol m s). Further simulation validated the dynamic behaviors of the circadian clock and photosynthetic outputs under low (62.5 μmol m s) and normal (187.5 μmol m s) intensities. When exposed to low light intensity, the peak times of clock and photosynthetic genes were shifted backward by 1-2 hours, the period was elongated by approximately the same length, and the photosynthetic parameters attained low values and showed delayed peak times, which confirmed our model predictions. Our study reveals a potential mechanism underlying the circadian regulation of photosynthesis by the clock under different light intensities in tomato.
光合作用参与了将光能转化为化学能的重要过程。尽管光合作用与生物钟之间的相互作用已得到证实,但光强度如何通过生物钟影响光合作用的机制仍不清楚。在此,我们提出了第一个用于生物钟控制光合作用的计算模型,该模型由光敏感蛋白P、核心振荡器、光合基因以及光合作用过程中涉及的参数组成。通过最小化成本函数([公式:见原文])来确定模型参数,该成本函数由时钟基因(,,,,,和)的表达水平、周期和相位的误差定义。该模型概括了中等光强度(100 μmol m s)下核心振荡器的表达模式。进一步的模拟验证了低光强度(62.5 μmol m s)和正常光强度(187.5 μmol m s)下生物钟和光合输出的动态行为。当暴露于低光强度时,时钟基因和光合基因的峰值时间向后移动1 - 2小时,周期延长大约相同的长度,光合参数达到低值并显示出延迟的峰值时间,这证实了我们的模型预测。我们的研究揭示了番茄在不同光强度下生物钟对光合作用进行昼夜调节的潜在机制。