ArticlePlant signaling & behavior2017
Plant "electrome" can be pushed toward a self-organized critical state by external cues: Evidences from a study with soybean seedlings subject to different environmental conditions.
Article in Plant signaling & behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- The electrofluidic brain as a basement layer for neural computation.Communications biology · 2026Review
- Analysis of electrome parameters of wheat seedlings in laboratory and natural conditions under the action of an osmotic stressor.Journal of plant research · 2026Article
- Abiotic stress triggers electrical synchronisation of shoot and leaves in soybean plants: a clue for plant attention-like.Plant signaling & behavior · 2025Article
- The Multi-Conductivity Clausius-Mossotti Factor as an Electrophysiology Rosetta Stone: Dielectrophoresis, Membrane Potential and Zeta Potential.Micromachines · 2025Review
- Analysis of Electrome as a Tool for Plant Monitoring: Progress and Perspectives.Plants (Basel, Switzerland) · 2025Review
- Bioelectrical synchronization ofRoyal Society open science · 2025Article
- Common bean under different water availability reveals classifiable stimuli-specific signatures in plant electrome.Plant signaling & behavior · 2024Article
- Exploring the complex information processes underlying plant behavior.Plant signaling & behavior · 2024Review
- Ascent and Attachment in Pea Plants: A Matter of Iteration.Plants (Basel, Switzerland) · 2024Article
- Evaluating Bacterial Nanocellulose Interfaces for Recording Surface Biopotentials from Plants.Sensors (Basel, Switzerland) · 2024Article
- Motor cognition in plants: from thought to real experiments.Theoretical and experimental plant physiology · 2024Article
- Bioelectric networks: the cognitive glue enabling evolutionary scaling from physiology to mind.Animal cognition · 2023Review
- The Electrome of a Parasitic Plant in a Putative State of Attention Increases the Energy of Low Band Frequency Waves: A Comparative Study with Neural Systems.Plants (Basel, Switzerland) · 2023Article
- Decision-Making Underlying Support-Searching in Pea Plants.Plants (Basel, Switzerland) · 2023Article
- Systemic Signals Induced by Single and Combined Abiotic Stimuli in Common Bean Plants.Plants (Basel, Switzerland) · 2023Article
- Simulated Analysis of Influence of Changes in HPlants (Basel, Switzerland) · 2022Article
- Influence of Burning-Induced Electrical Signals on Photosynthesis in Pea Can Be Modified by Soil Water Shortage.Plants (Basel, Switzerland) · 2022Article
- Sowing the seeds of intentionality: Motor intentions in plants.Plant signaling & behavior · 2021Review
- Electrical Signals, Plant Tolerance to Actions of Stressors, and Programmed Cell Death: Is Interaction Possible?Plants (Basel, Switzerland) · 2021Review
- Stochastic Spatial Heterogeneity in Activities of HInternational journal of molecular sciences · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the present study, we have investigated how the low-voltage electrical signals of soybean seedlings change their temporal dynamic under different environmental conditions (cold, low light, and low osmotic potential). We have used electrophytografic technique (EPG) with sub-dermal electrodes inserted in 15-days-old seedlings located between root and shoot, accounting for a significant part of the individual seedlings. Herein, to work on a specific framework to settle this type of the study, we are adopting the term "electrome" as a reference to the totality of electrical activity measured. Taking into account the non-linear dynamic of the plants electrophysiology, we have hypothesized that the stimuli, as applied in a constant way, could push the system to a critical state, exhibiting spikes without a characteristic size, indicating self-organized criticality (SOC). The results from the power spectral density analysis (PSD), showed that the interval of the large majority of the β exponents were between 1.5 and 3, indicating that the time series, regardless environmental conditions, showed long-range temporal correlation (long memory for β≠0 and β≠2). The analyses from the histograms of the runs showed different patterns of distributions concerning the experimental conditions. However, the runs exhibiting typical spikes, mostly under low light and osmotic stress, showed power law distribution with exponent μ ≅ 2, which is an indicative for SOC. Overall, our results have confirmed that the temporal dynamic of the electrical signaling shows a complex non-linear behavior with long-range persistence. Moreover, the hypothesis that plant electrome can exhibit a self-organized critical state evoked by environmental cues, dissipating energy by bursts of electrical spikes without a characteristic size, was reinforced. Finally, new perspectives for research and additional hypothesis were presented.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.