Evidence map›Paper›PMID 42649163›Full record

ArticleNature communications2026

Mechanosensory encoding of surface mechanics optimizes locomotion.

Aleksandra Pidde, Montserrat Porta-de-la-Riva, Costanza Agazzi, Carmen Martínez-Fernández, Alice Lorrach, Ashutosh Bijalwan, Neus Sanfeliu-Cerdán, Alba Calatayud-Sanchez, Eric Torralba-Sales, Ravi Das and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Aleksandra PiddeICFO - Institut de Ciéncies Fotóniques, Castelldefels, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Montserrat Porta-de-la-RivaICFO - Institut de Ciéncies Fotóniques, Castelldefels, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID 0000-0002-1514-2883
Costanza AgazziICFO - Institut de Ciéncies Fotóniques, Castelldefels, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Carmen Martínez-FernándezICFO - Institut de Ciéncies Fotóniques, Castelldefels, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Alice LorrachICFO - Institut de Ciéncies Fotóniques, Castelldefels, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Ashutosh BijalwanCentre Internacional de Métodes Numérics en Enginyeria (CIMNE), Barcelona, Spain.
Neus Sanfeliu-CerdánICFO - Institut de Ciéncies Fotóniques, Castelldefels, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Alba Calatayud-SanchezICFO - Institut de Ciéncies Fotóniques, Castelldefels, The Barcelona Institute of Science and Technology, Barcelona, Spain.
Eric Torralba-SalesLaboratori de Cálcul Numéric (LaCáN), Department of Mathematics, Escola d, Universitat Politécnica de Catalunya (UPC), Barcelona, Spain.ORCID 0009-0003-7612-2792
Ravi DasICFO - Institut de Ciéncies Fotóniques, Castelldefels, The Barcelona Institute of Science and Technology, Barcelona, Spain.
José J MuñozCentre Internacional de Métodes Numérics en Enginyeria (CIMNE), Barcelona, Spain.
Michael KriegICFO - Institut de Ciéncies Fotóniques, Castelldefels, The Barcelona Institute of Science and Technology, Barcelona, Spain. michael.krieg@icfo.eu.ORCID 0000-0003-0501-5036

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
NIH HHS P40 OD010440
6 · The paper itself

Abstract

Locomotion - whether walking, running, or crawling - depends on the precise coordination of forces between the body and its surroundings. Two critical factors in this process are the force that resists the relative motion between two bodies, and mechanosensation, the body's ability to sense and respond to mechanical forces. Together, these processes enable efficient locomotion across diverse environments, yet how body-environment interaction forces shape neural activity in freely moving animals remains poorly understood. Here we show that the 'gentle touch' receptor neurons (TRNs) in the Caenorhabditis elegans body wall are sensitive to dynamic surface mechanics. Using a combination of calcium imaging and traction force microscopy in freely behaving animals informed by micromechanical stimulation, connectome-scale simulations, and optimal control theory, we identify friction force and crawling velocity as key determinants of mechanoreceptor activity. Mutations disrupting MEC-4 DEG/ENaC ion channel activity in body wall mechanoreceptors produce lethargic animals with impaired proprioceptive regulation, suggesting functional coupling between surface mechanoreceptors and proprioceptors. Together, our findings reveal that gentle 'touch' receptors encode body-environment interaction forces during movement to optimize locomotor energetics.

Indexed as

Caenorhabditis elegansLocomotionMechanoreceptorsMechanotransduction, CellularAnimalsBiomechanical PhenomenaCaenorhabditis elegans ProteinsCalciumMutationTouchCaenorhabditis elegans ProteinsCalcium

Identifiers

PMID42649163
PMCPMC13518797

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.