Frontiers in Plant Science (Nov 2019)
Illumination/Darkness-Induced Changes in Leaf Surface Potential Linked With Kinetics of Ion Fluxes
- Jinhai Li,
- Jinhai Li,
- Yang Yue,
- Yang Yue,
- Ziyang Wang,
- Ziyang Wang,
- Qiao Zhou,
- Qiao Zhou,
- Lifeng Fan,
- Lifeng Fan,
- Zhiqiang Chai,
- Zhiqiang Chai,
- Chao Song,
- Chao Song,
- Hongtu Dong,
- Shixian Yan,
- Shixian Yan,
- Xinyu Gao,
- Xinyu Gao,
- Qiang Xu,
- Qiang Xu,
- Jiepeng Yao,
- Jiepeng Yao,
- Zhongyi Wang,
- Zhongyi Wang,
- Zhongyi Wang,
- Xiaodong Wang,
- Peichen Hou,
- Lan Huang,
- Lan Huang
Affiliations
- Jinhai Li
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Jinhai Li
- Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, Beijing, China
- Yang Yue
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Yang Yue
- Key Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture, Beijing, China
- Ziyang Wang
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Ziyang Wang
- Key Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture, Beijing, China
- Qiao Zhou
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Qiao Zhou
- Key Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture, Beijing, China
- Lifeng Fan
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Lifeng Fan
- Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, Beijing, China
- Zhiqiang Chai
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Zhiqiang Chai
- Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, Beijing, China
- Chao Song
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Chao Song
- Key Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture, Beijing, China
- Hongtu Dong
- Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing, China
- Shixian Yan
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Shixian Yan
- Key Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture, Beijing, China
- Xinyu Gao
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Xinyu Gao
- Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, Beijing, China
- Qiang Xu
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Qiang Xu
- Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, Beijing, China
- Jiepeng Yao
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Jiepeng Yao
- Key Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture, Beijing, China
- Zhongyi Wang
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Zhongyi Wang
- Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, Beijing, China
- Zhongyi Wang
- Key Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture, Beijing, China
- Xiaodong Wang
- Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing, China
- Peichen Hou
- Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing, China
- Lan Huang
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Lan Huang
- Key Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture, Beijing, China
- DOI
- https://doi.org/10.3389/fpls.2019.01407
- Journal volume & issue
-
Vol. 10
Abstract
A highly reproducible plant electrical signal–light-induced bioelectrogenesis (LIB) was obtained by means of periodic illumination/darkness stimulation of broad bean (Vicia faba L.) leaves. By stimulating the same position of the same leaf with different concentrations of NaCl, we observed that the amplitude and waveform of the LIB was correlated with the intensity of stimulation. This method allowed us to link dynamic ion fluxes induced by periodic illumination/darkness to salt stress. The self-referencing ion electrode technique was used to explore the ionic mechanisms of the LIB. Fluxes of H+, Ca2+, K+, and Cl− showed periodic changes under periodic illumination/darkness before and after 50 mM NaCl stimulation. Gray relational analysis was used to analyze correlations between each of these ions and LIB. The results showed that different ions are involved in surface potential changes at different stages under periodic illumination/darkness. The gray relational grade reflected the contribution of each ion to the change in surface potential at a certain time period. The ion fluxes data obtained under periodic illumination/darkness stimulation will contribute to the future development of a dynamic model for interpretation of electrophysiological events in plant cells.
Keywords
- electrical signal
- light-induced bioelectrogenesis
- periodic illumination/darkness
- salt stimulation
- ionic mechanisms
- gray relational analysis
