Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

Modeling Plant Action Potentials under Photoperiod Stress via Hodgkin-Huxley Dynamics

Imen Bekkari, Maurizio Magarini andHamdan Awan

TL;DR

This study addresses how photoperiod stress shapes plant action potentials (APs) by identifying two phenotypes, NETO and POCE, across tobacco and tomato. It employs a Hodgkin-Huxley–based model with constant rate parameters to reproduce both AP types efficiently, using Nicotiana tabacum data under artificial photoperiods and Solanum lycopersicum data from natural sunlight. The contributions include defining NETO/POCE, validating the HH framework with simplified kinetics, and demonstrating cross-species applicability with a computationally light model. The work advances plant electrophysiology understanding and offers a practical tool for exploring bioelectric signaling under variable light for crop management.

Abstract

Plants exhibit dynamic bioelectric properties that facilitate information transfer across tissues. This study investigates action potentials (APs) in Nicotiana tabacum recorded within a custom-designed growth chamber using a biosignal amplifier and environmental sensors. Consistent light- and dark-induced APs were observed during photoperiod transitions under controlled 12-hour artificial illumination cycles. To understand these bioelectric responses, a mathematical model based on the Hodgkin-Huxley framework is used. Electrophysiological measurements from Solanum lycopersicum revealed that under natural light conditions, only light-induced APs are observed, while light- and dark-induced APs coupled dynamics is exclusively elicited during rapid transitions in artificial photoperiods. These distinct phenomena are characterized as Prolonged Oscillatory Climatic Engagement (POCE) and Nimble Environmental Transition Oscillation (NETO), respectively. The model successfully reproduces the key features in both frameworks while maintaining computational efficiency through voltage-independent rate parameters.

Modeling Plant Action Potentials under Photoperiod Stress via Hodgkin-Huxley Dynamics

TL;DR

This study addresses how photoperiod stress shapes plant action potentials (APs) by identifying two phenotypes, NETO and POCE, across tobacco and tomato. It employs a Hodgkin-Huxley–based model with constant rate parameters to reproduce both AP types efficiently, using Nicotiana tabacum data under artificial photoperiods and Solanum lycopersicum data from natural sunlight. The contributions include defining NETO/POCE, validating the HH framework with simplified kinetics, and demonstrating cross-species applicability with a computationally light model. The work advances plant electrophysiology understanding and offers a practical tool for exploring bioelectric signaling under variable light for crop management.

Abstract

Plants exhibit dynamic bioelectric properties that facilitate information transfer across tissues. This study investigates action potentials (APs) in Nicotiana tabacum recorded within a custom-designed growth chamber using a biosignal amplifier and environmental sensors. Consistent light- and dark-induced APs were observed during photoperiod transitions under controlled 12-hour artificial illumination cycles. To understand these bioelectric responses, a mathematical model based on the Hodgkin-Huxley framework is used. Electrophysiological measurements from Solanum lycopersicum revealed that under natural light conditions, only light-induced APs are observed, while light- and dark-induced APs coupled dynamics is exclusively elicited during rapid transitions in artificial photoperiods. These distinct phenomena are characterized as Prolonged Oscillatory Climatic Engagement (POCE) and Nimble Environmental Transition Oscillation (NETO), respectively. The model successfully reproduces the key features in both frameworks while maintaining computational efficiency through voltage-independent rate parameters.

Paper Structure

This paper contains 17 sections, 10 equations, 9 figures, 1 table.

Table of Contents

  1. Introduction
  2. Problem Statement and Contribution
  3. Paper's organization
  4. Action Potentials Characterization
  5. Light-induced APs
  6. Dark-Induced APs
  7. AP Generation via Hodgkin-Huxley Dynamics
  8. System Model
  9. Agrowbox Design
  10. Biological Aspect
  11. Electrophysiological Data Acquisition
  12. Data Analysis
  13. Results
  14. NETO APs
  15. POCE APs
  16. ...and 2 more sections

Figures (9)

  • Figure 1: NETO: light-induced AP.
  • Figure 2: NETO: dark-induced AP.
  • Figure 3: POCE: light-induced AP.
  • Figure 4: Agrowbox panel-specific descriptions. (a) Agrowbox composition. (b) Arduino-based control system: sensors and actuators. (c) Acquisition system.
  • Figure 5: NETO responses in Nicotiana tabacum.
  • ...and 4 more figures