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Front. Plant Sci. | doi: 10.3389/fpls.2019.01407

Illumination /Darkness-induced Changes in Leaf Surface Potential Linked with Kinetics of Ion Fluxes

 Jin-hai Li1, Yang Yue2, Zi-yang Wang1, Qiao Zhou1, Li-feng Fan1, Zhi-qiang Chai1, Chao Song1, Hong-tu Dong3, Shi-xian Yan1, Xin-yu Gao1, Qiang Xu1, Jie-peng Yao1, Zhong-yi Wang1, Xiao-dong Wang3,  Peichen Hou3 and  Lan Huang1*
  • 1China Agricultural University (CAU), China
  • 2College of Information and Electrical Engineering, China Agricultural University (CAU), China
  • 3Beijing Research Center for Intelligent Equipment for Agriculture, China

A highly reproducible plant electrical signal–light-induced rhythmical bioelectrogenesis (LIRB) 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 LIRB 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 LIRB. 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 LIRB. 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 rhythmical bioelectrogenesis, periodic illumination/darkness, Salt stimulation, Ionic mechanisms, Gray relational analysis

Received: 28 Nov 2018; Accepted: 10 Oct 2019.

Copyright: © 2019 Li, Yue, Wang, Zhou, Fan, Chai, Song, Dong, Yan, Gao, Xu, Yao, Wang, Wang, Hou and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Lan Huang, China Agricultural University (CAU), Beijing, China, hlan@cau.edu.cn