Evidence map›Paper›PMID 40740805›Full record

ArticleEcology and evolution2025

Shearing Tooth Morphology May Allow Sharks to Access Higher Trophic Levels at Smaller Sizes.

Sabrina Riverón, Vincent Raoult, David J Slip, Federico Mas, Martín Laporta, Inés Pereyra, Santiago Silveira, Robert G Harcourt

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Sabrina RiverónMarine Predator Research Group, School of Natural Sciences Macquarie University North Ryde New South Wales Australia.ORCID https://orcid.org/0000-0001-7459-2449
Vincent RaoultSchool of Environment and Science Griffith University Gold Coast Queensland Australia.
David J SlipMarine Predator Research Group, School of Natural Sciences Macquarie University North Ryde New South Wales Australia.
Federico MasDirección Nacional de Recursos Acuáticos (DINARA) Montevideo Uruguay.
Martín LaportaUnidad de Gestión Pesquera Atlántica Dirección Nacional de Recursos Acuáticos (DINARA) La Paloma Uruguay.
Inés PereyraUnidad de Gestión Pesquera Atlántica Dirección Nacional de Recursos Acuáticos (DINARA) La Paloma Uruguay.
Santiago SilveiraUnidad de Gestión Pesquera Atlántica Dirección Nacional de Recursos Acuáticos (DINARA) La Paloma Uruguay.
Robert G HarcourtMarine Predator Research Group, School of Natural Sciences Macquarie University North Ryde New South Wales Australia.ORCID https://orcid.org/0000-0003-4666-2934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of prey in an environment does not ensure that a predator will consume it: prey must also be detected, captured, and successfully handled. The morphology of the predator and prey imposes limitations on prey selection due to biomechanical constraints, making some prey functionally inaccessible. Morphological factors, including but not limited to tooth shape, body size, and mouth gape, therefore impose constraints on predator trophic niches. We assessed how two important components of trophic morphology (tooth shape and body length) may influence prey selectivity and trophic niche in two large-bodied sympatric sharks with contrasting foraging strategies. The first species captures prey using spear-shaped, grasping teeth (grey nurse/sand tiger/raggedtooth shark,

Indexed as

Carcharias taurusNotorynchus cepedianusprey choicesouthwestern Atlantic Oceanstable isotopesstomach contentteethtrophic ecology

Identifiers

PMID40740805
PMCPMC12306977

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.