Evidence map›Paper›PMID 42243249›Full record

ArticleScientific reports2026

Gyne nutrition as a stronger predictor of mating success than nestmateship in Vespula germanica.

Agustina P Porrino, Andrés S Martínez, Maité Masciocchi

Abstract read
In one paragraph

Article in Scientific reports, 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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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.

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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

3 authors.

Agustina P PorrinoGrupo de Ecología de Poblaciones de Insectos, Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB) (CONICET - INTA), Bariloche, (8400), Río Negro, Argentina. agustina.porrino@gmail.com.ORCID http://orcid.org/0000-0002-2417-4553
Andrés S MartínezGrupo de Ecología de Poblaciones de Insectos, Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB) (CONICET - INTA), Bariloche, (8400), Río Negro, Argentina.ORCID http://orcid.org/0000-0003-4629-4617
Maité MasciocchiGrupo de Ecología de Poblaciones de Insectos, Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB) (CONICET - INTA), Bariloche, (8400), Río Negro, Argentina.ORCID http://orcid.org/0000-0002-0095-2170

Funding

Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación BID PICT 2018-0657Instituto Nacional de Tecnología Agropecuaria 2019-PD-E4-I079-001
6 · The paper itself

Abstract

Mate choice can optimize resource investment by weighing the benefits of selecting high-quality mates against the costs of rejecting mating opportunities. Female choosiness can be influenced by their own physiological condition as well as nestmate discrimination. In social Hymenoptera, same colony members are usually closely related, and mechanisms allowing nestmate discrimination may reduce the probability of incestuous matings and their associated fitness costs. Here, we examined whether nestmateship and nutritional condition influence mating success in the eusocial wasp Vespula germanica. Through binary-choice olfactory behavioral assays and mating trials, we assessed gyne responses to olfactory cues from nestmate and non-nestmate males and evaluated whether nestmateship and female nutrition influence mating success. Our results indicate that neither gyne preferences nor mating outcomes are affected by nestmateship, whereas female nutrition seems to significantly influence mating success. Gynes showed no preference between nestmate and non-nestmate males and even spent more time in arms containing clean air, suggesting an apparent avoidance of male olfactory cues. Gyne nutrition significantly influenced mating outcomes, as females with higher weight/size ratio exhibited a greater probability of insemination. Overall, our findings suggest that mating outcomes in V. germanica are more strongly associated with female physiological condition than with nestmate avoidance.

Indexed as

Mating Preference, AnimalNesting BehaviorSexual Behavior, AnimalWaspsAnimalsFemaleMaleFemale conditionMate assessmentMating systemsNestmate recognitionSocial Hymenoptera

Identifiers

PMID42243249
PMCPMC13473138

What OpenQuestion holds

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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.