Evidence map›Paper›PMID 41392697›Full record

ArticleThe Journal of experimental biology2026

How complex must shape data be to model in vivo forces? Intraspecific level validation of in silico jaw strength estimates in a lizard.

Stephanie C Woodgate, Ana Pérez-Cembranos, Valentín Pérez-Mellado, Johannes Müller

Abstract read
In one paragraph

Article in The Journal of experimental biology, 2026. 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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0citing papers 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

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

4 authors.

Stephanie C WoodgateFaculty of Life Sciences, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany.ORCID 0009-0000-4423-6419
Ana Pérez-CembranosDepartamento de Biología Animal, Universidad de Salamanca, Campus Miguel de Unamuno s/n. 37007 Salamanca, Spain.ORCID 0000-0002-8296-2283
Valentín Pérez-MelladoDepartamento de Biología Animal, Universidad de Salamanca, Campus Miguel de Unamuno s/n. 37007 Salamanca, Spain.ORCID 0000-0002-7137-4945
Johannes MüllerFaculty of Life Sciences, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany.ORCID 0000-0001-5801-856X

Funding

Deutsche Forschungsgemeinschaft 1760/11-1Deutsche Forschungsgemeinschaft DFG Mu 1760/11-1Humboldt University of Berlin
6 · The paper itself

Abstract

A major problem in current biomechanical literature is the extent to which in silico data can be validated by in vivo data across taxonomic scales. Despite frequent incongruence between in silico and in vivo data gained from precisely the same individual, biologists and palaeontologists continue to publish in silico data of single bones intended to represent entire species. Here, we aim to bridge this gap by investigating whether jaw morphology alone can be used to validate biomechanical models on the intraspecific level in a phenotypically diverse lizard, Podarcis pityusensis. We tested this by investigating how effectively in vivo bite force measurements from eight populations of this species are predicted by biomechanical models. We used alcohol-preserved specimens from each location to generate population-average and male-average morphologies of mandibles and dentaries, from which we calculated mechanical advantage as well as strength estimates from finite element analysis. Overall, we found a general lack of population-level correlation between in vivo and in silico data; however, strength estimates from finite element analysis did follow the same bite∼size relationship as in vivo bite, suggesting that biomechanical analysis of even a single bone can produce useful bite force estimates. We encourage researchers to create in silico models with maximally complex shape data and caution that intraspecific variation is a crucial aspect of in vivo and in silico biomechanics.

Indexed as

Bite ForceJawLizardsMandibleAnimalsBiomechanical PhenomenaComputer SimulationFemaleFinite Element AnalysisMaleModels, BiologicalBite forceFinite element analysisMechanical advantagePodarcis pityusensis

Identifiers

PMID41392697
PMCPMC12951603

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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.