Evidence map›Paper›PMID 41102244›Full record

ArticleScientific reports2025

Revealing synchrony in pea plants using wavelet coherence analysis.

Bianca Bonato, Valentina Simonetti, Umberto Castiello

Abstract read
In one paragraph

Article in Scientific reports, 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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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

3 authors.

Bianca BonatoDepartment of General Psychology, University of Padova, Padova, Italy. bianca.bonato@unipd.it.
Valentina SimonettiDepartment of General Psychology, University of Padova, Padova, Italy.
Umberto CastielloDepartment of General Psychology, University of Padova, Padova, Italy.

Funding

European Research Council 101096728Ministero dell'Università e della Ricerca 20227ZYLH9
6 · The paper itself

Abstract

In this study, we apply Wavelet Transform Coherence (WTC) analysis-a time-frequency method commonly used in human and animal synchrony research-to examine whether co-potted pea plant dyads exhibit synchronized movement during tendril approach to intertwine. This behaviour allows plants to form braided structures, providing mutual support in the absence of external scaffolds. The results reveal significant coherence, particularly pronounced at the beginning and at the end of the movement sequence. However, this effect varies across dyads, displaying a certain degree of heterogeneity in the coherence patterns. Overall, the analyses indicate that plant movements are temporally structured and non-random; nonetheless, the substantial inter-dyad variability prevents this outcome from being generalized unequivocally. We propose that such synchrony may emerge from embodied mechanisms, including mechanical feedback and chemical signalling. This work extends the application of WTC analysis to plant systems and challenges the assumption that complex coordination requires neural substrates, highlighting the role of distributed, non-neural processes in facilitating cooperative behaviour among living organisms.

Indexed as

Pisum sativumWavelet AnalysisIntertwiningPea plantPlant synchronizationTime-frequencyWavelet analysisWTC

Identifiers

PMID41102244
PMCPMC12533233

What OpenQuestion holds

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Registered trials

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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.