Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, College of Agricultural Engineering, Jiangsu University, Zhenjiang, China.
State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China.
Plant Signal Behav. 2021 Jul 3;16(7):1918867. doi: 10.1080/15592324.2021.1918867. Epub 2021 Apr 25.
Almost all life activities of plants are accompanied by electrophysiological information. Plant's electrical parameters are considered to be the fastest response to environment. In this study, the theoretically intrinsic relationships between the clamping force and leaf resistance (R) and inductive reactance (XL) were revealed as 3-parameter exponential decay based on bioenergetics for the first time. The intrinsic resistance (IR), capacitive reactance (IXc), inductive reactance (IXL), impedance (IZ), and capacitance (IC) in plant leaves were successfully monitored. The nutrient flux per unit area (UNF), nutrient transfer rate (NTR) and nutrient transport capacity (NTC) in plants based on IR, IXc, IXL, IZ and IC were defined to reflect nutrient transport characteristics. The results indicate that IXc and IXL could be used to manifest the relative composition characteristics of cell membrane proteins, and are inversely proportional to the amount of surface and binding proteins that induce membrane Xc and XL in plant leaves, respectively. UNF, NTR or NTC exhibited good correlations with crude protein or crude ash, and accurately revealed the nutrient transport strategies of tested plants and their diversity. This study highlights that plant's electrophysiological information could effectively manifest the composition and nutrient transport characteristics of membrane proteins in plant cells.
几乎所有的植物生命活动都伴随着电生理信息。植物的电参数被认为是对环境的最快反应。在这项研究中,首次基于生物能量学揭示了夹力与叶电阻(R)和感抗(XL)之间的理论内在关系是三参数指数衰减。成功监测了植物叶片中的固有电阻(IR)、容抗(IXc)、感抗(IXL)、阻抗(IZ)和电容(IC)。基于 IR、IXc、IXL、IZ 和 IC 定义了植物单位面积的养分通量(UNF)、养分转移率(NTR)和养分运输能力(NTC),以反映养分运输特性。结果表明,IXc 和 IXL 可用于体现细胞膜蛋白的相对组成特性,且分别与诱导叶片 Xc 和 XL 的细胞膜表面和结合蛋白的数量成反比。UNF、NTR 或 NTC 与粗蛋白或粗灰分呈良好的相关性,准确揭示了测试植物的养分运输策略及其多样性。本研究强调,植物的电生理信息可以有效地体现植物细胞中膜蛋白的组成和养分运输特性。