Evidence map›Paper›PMID 42039462›Full record

ArticlebioRxiv : the preprint server for biology2026

Eusocial reproduction selects for longevity.

Rafael D'Andrea, Charles D Kocher, Bonnie Skiena, Bruce Futcher

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for 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.

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

4 authors.

Rafael D'AndreaDept of Ecology and Evolution, Stony Brook University, NY11794.
Charles D KocherLaufer Center for Physical and Quantitative Biology, Stony Brook University, NY11794.
Bonnie Skiena6 Storyland Lane, Setauket, NY 11733.
Bruce FutcherDept. of Microbiology and Immunology, Stony Brook University, NY11794.ORCID 0000-0002-1012-9022

Funding

Scaling of transcript abundance with cell size and the commitment to cell divisionR01GM127542 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI BRUCE Bruce FUTCHER · 2019 to 2026
$2.6M
Mechanistic characterization of quantitative trait genetics affecting cell metabolismR01GM132238 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI FUTCHER, BRUCE BRUCE, HALEY, JOHN DOUGLAS · 2019 to 2023
$1.4M
NIGMS NIH HHS R01 GM127542NIGMS NIH HHS R01 GM132238
6 · The paper itself

Abstract

Animals such as bees, ants, wasps, termites, and naked mole-rats live in colonies in which a single queen is the only female reproductive, an arrangement known as eusociality. Eusocial animals are known for their remarkably long lifespans. It has been argued that longevity becomes selected when queens are shielded from "external mortality". While such protection may contribute, we find a deeper reason: the eusocial reproduction strategy itself inherently creates selection for long lifespans. Lifespans typically reflect two processes: the baseline risk of death and the rate at which this risk increases with age. Each is a parameter in the Gompertz mortality equation. We show that the mathematical properties of eusocial reproduction lead to slowly-growing, older populations where selection acts more strongly on the rate at which risk increases than on the baseline risk. In addition, we show that channeling reproduction through a single female also selects for longevity, which we term the "queen effect". Thus, the dynamics of eusocial reproduction select for longer lifespan. More broadly, these results show that reproductive structure and population growth dynamics can fundamentally shape selection on lifespan, with implications outside eusocial systems as well.

Indexed as

AgingEusocialityLife history theoryLongevityNaked mole-rats

Identifiers

PMID42039462
PMCPMC13104863

What OpenQuestion holds

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LicenceCC BY
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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.