Evidence map›Paper›PMID 40595206›Full record

ArticleScientific reports2025

Structural and mechanical properties of humidity-responsive Geraniaceae awns.

Marilena Ronzan, Stefano Mariani, Luca Cecchini, Carlo Filippeschi, Silvia Dante, Nicola Maria Pugno, Barbara Mazzolai

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. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Marilena RonzanBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, Italy. marilena.ronzan@iit.it.
Stefano MarianiBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, Italy.
Luca CecchiniBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, Italy.
Carlo FilippeschiBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, Italy.
Silvia DanteMaterials Characterization Facility, Istituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, Italy.
Nicola Maria PugnoLaboratory for Bioinspired, Bionic, Meta Materials and Mechanics, Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano 77, Trento, 38123, Italy.
Barbara MazzolaiBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, Italy. barbara.mazzolai@iit.it.

Funding

Horizon 2020 Framework Programme 101017940
6 · The paper itself

Abstract

Hygroscopic deformations in plants are passive movements within specialized structures triggered by changes in environmental humidity. In the Geraniaceae, the sterile extension of the mericarp, called awn, facilitates seed dispersal by actuating hygroscopic coiling. Notably, the morphological characteristics and regional distribution of awns vary significantly among the family species, suggesting different mechanisms at the base of dispersion. Despite these variations, no prior investigation has solely focused on examining the combination of the structural and mechanical properties of the awn. Thus, this study fills the gap by conducting an in-depth comparative analysis of the awns from two Geraniaceae species, Pelargonium appendiculatum (L.f.) Willd. and Erodium gruinum (L.) L'Her., which exhibit similar coiling behavior but possess distinct structural features. Through an interdisciplinary approach, we have identified key internal structural characteristics that profoundly impact the awn's mechanical properties and hygroscopic response, directly influencing its movement. Our comprehensive findings highlight distinct dispersion mechanisms tailored to each species, providing new insights into the functional role of awn structures. This study not only advances our understanding of plant biomechanics but also highlights the intricate relationship between structure and function.

Indexed as

GeraniaceaeHumidityBiomechanical PhenomenaSeed DispersalSeedsAwnBiomechanicsCompositionDispersion mechanismsErodiumPelargonium.

Identifiers

PMID40595206
PMCPMC12219170

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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.