Evidence map›Paper›PMID 41193947›Full record

ArticlePlant signaling & behavior2025

Abiotic stress triggers electrical synchronisation of shoot and leaves in soybean plants: a clue for plant attention-like.

Thiago Francisco de Carvalho Oliveira, André Geremia Parise, Helena C Tasca, Douglas Posso, Gabriela Niemeyer Reissig, Gustavo Maia Souza

Abstract read
In one paragraph

Article in Plant signaling & behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Thiago Francisco de Carvalho OliveiraLaboratory of Plant Cognition and Electrophysiology (LACEV), Department of Botany, Institute of Biological Sciences, Federal University of Pelotas, Pelotas, Brazil.
André Geremia PariseSchool of Biological Sciences, University of Reading, Reading, United Kingdom.ORCID 0000-0002-2500-6455
Helena C TascaLaboratory of Plant Cognition and Electrophysiology (LACEV), Department of Botany, Institute of Biological Sciences, Federal University of Pelotas, Pelotas, Brazil.
Douglas PossoLaboratory of Plant Cognition and Electrophysiology (LACEV), Department of Botany, Institute of Biological Sciences, Federal University of Pelotas, Pelotas, Brazil.
Gabriela Niemeyer ReissigEmbrapa Clima Temperado, Pelotas, Brazil.
Gustavo Maia SouzaLaboratory of Plant Cognition and Electrophysiology (LACEV), Department of Botany, Institute of Biological Sciences, Federal University of Pelotas, Pelotas, Brazil.ORCID 0000-0001-6754-4860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants rely on sophisticated intercellular communication to coordinate systemic responses to environmental challenges. Electrical signals contribute for rapid, long-distance integration of plant parts. This study investigated how distinct stressors-localized injury (cutting and fire to a leaflet) and systemic salt stress (applied to the roots)-triggered electrical synchronization across different modules (stem and leaves) in soybean (Glycine max) plants. We continuously recorded variations of electrical potential from four plant modules before and after stress application. Time-series analyses, including Detrended Fluctuation Analysis (DFA), Approximate Entropy (ApEn), Fast Fourier Transform (FFT), and Power Spectral Density (PSD), were employed to characterize signal features. Inter-modular synchronization was then assessed by Pearson correlation of these derived features between the modules. The results indicate that different stressors modulate electrical synchronization between plant modules in distinct ways: while cutting and fire stress induce a more immediate and integrated response, showed as higher correlation between modules, salt stress promotes more gradual changes in signal dynamics. These findings reinforce the hypothesis that electrical signalling plays an important role in the functional integration of stress responses, and may indicate a possible attentional state in plants.

Indexed as

Glycine maxStress, PhysiologicalElectrophysiological PhenomenaPlant LeavesPlant ShootsPlant StemsSalt Stresselectrical synchronizationplant cognitionPlant electrophysiologyselective attentionstress response

Identifiers

PMID41193947
PMCPMC12599359

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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.