Evidence map›Paper›PMID 39718200›Full record

ArticleBiology open2024

The relationship between locomotion and hindlimb morphology in the leopard (Panthera pardus) using a geometric morphometric approach.

Riyanta Naidoo, Safiyyah Iqbal

Abstract read
In one paragraph

Article in Biology open, 2024. 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

2 authors.

Riyanta NaidooSchool of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Wits 2050, Johannesburg, Gauteng 2000, South Africa.ORCID 0000-0002-0481-877X
Safiyyah IqbalSchool of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Wits 2050, Johannesburg, Gauteng 2000, South Africa.ORCID 0000-0001-9459-6287

Funding

University of the Witwatersrand, Johannesburg
6 · The paper itself

Abstract

Felid bone morphology is highly influenced by factors such as locomotion, body size, and foraging behaviour. Understanding how these factors influence bone morphology is important for interpreting the behaviour and ecology of such species. This study aimed to determine the extent to which Panthera pardus (i.e. leopard) hindlimb morphology differs from that of other Panthera species, particularly Panthera leo (i.e. lion). Landmark-based geometric morphometric analyses were used to compare 27 Panthera femurs in the anterior and posterior views, by the use of principal component analyses. Distinct clusters were found linking the Panthera species for both the anterior and posterior views, inferring a difference in the femur morphology of the species. The Procrustes ANOVA regression further showed a significant difference in the mean shape between the Panthera femurs, for both the anterior and posterior views. A clear relationship was found between femur morphology and body size, with leopards possessing a more gracile and elongated femur to support a smaller body mass and lions possessing a more robust and stunted femur to support a larger body mass. It was found that femur morphology also correlates with locomotive flexibility and hunting success in felids. Leopard femur morphology aids in speed and flexibility during hunting, as well as aids in propulsion that allows for arboreal locomotion. It was ultimately deduced that femur morphology differs between Panthera species, according to their mechanical demands during locomotion.

Indexed as

HindlimbLocomotionPantheraAnimalsBody SizeFemurPrincipal Component AnalysisBehaviourGeometric morphometricsHindlimb morphologyLocomotionNiche preference

Identifiers

PMID39718200
PMCPMC11708771

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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.