Evidence map›Paper›PMID 41366409›Full record

ArticleScientific reports2025

Meows encode less individual information than purrs and show greater variability in domestic than in wild cats.

Danilo Russo, Anja Birgit Schild, Mirjam Knörnschild

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.

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

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

3 authors.

Danilo RussoLaboratory of Animal Ecology and Evolution (AnEcoEvo), Dipartimento di Agraria, Università degli Studi di Napoli Federico II, Portici (Napoli), Italy. danrusso@unina.it.
Anja Birgit SchildAnimal Behaviour, Institute for Biology, Freie Universität Berlin, Berlin, Germany.
Mirjam KnörnschildMuseum für Naturkunde, Leibniz-Institute for Evolution and Biodiversity Science, Berlin, Germany. mirjam.knoernschild@mfn.berlin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Domestication has shaped animal vocal behaviour, increasing flexibility and responsiveness to humans. In domestic cats (Felis catus), two vocalisations, meows and purrs, have distinct communicative roles. Meows are context-dependent signals primarily directed at humans; purrs are stereotyped, low-frequency sounds produced in affiliative contexts. Vocal individuality, key in mammalian communication, supports social recognition and interaction, but its presence across cats' call types remains poorly understood. We examined whether cats encode individual identity in meows and purrs, hypothesising that meows might show stronger signatures due to their human-directed nature. We analysed 276 meows from 14 cats and 557 purrs from 21 cats. Both call types carried sufficient individual information, but purrs had significantly higher classification accuracy (84.6%) and encoded more information content (4.47 bit) than meows (63.2%, 2.65 bit). To place individuality in a domestication framework, we compared domestic cat meows with those of five wild relatives: African wildcat, European wildcat, jungle cat, cheetah, and cougar. Domestic cat meows showed greater acoustic dispersion than those of wild cats, reflecting increased vocal plasticity through domestication. These findings demonstrate how domestication has shaped feline vocalisations, with purrs acting as stable identity cues and meows emphasising flexibility over recognisability.

Indexed as

Vocalization, AnimalAnimalsAnimals, DomesticAnimals, WildCatsDomesticationFemaleMaleDomesticationFelidaeIndividual signatureVocal communication

Identifiers

PMID41366409
PMCPMC12695941

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.