Evidence map›Paper›PMID 41313304›Full record

ArticleEvolution; international journal of organic evolution2026

Larger colony sizes favour greater division of labour between queens and workers in ants.

Juliet Turner, Louis Bell-Roberts, James McCulloch, Matilda Brindle, Rosa Bonifacii, Stuart West

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Juliet TurnerDepartment of Biology, University of Oxford, Oxford, United Kingdom.
Louis Bell-RobertsDepartment of Biology, University of Oxford, Oxford, United Kingdom.
James McCullochDepartment of Biology, University of Oxford, Oxford, United Kingdom.
Matilda BrindleDepartment of Biology, University of Oxford, Oxford, United Kingdom.
Rosa BonifaciiDepartment of Biology, University of Oxford, Oxford, United Kingdom.
Stuart WestDepartment of Biology, University of Oxford, Oxford, United Kingdom.

Funding

European Research Council 834164
6 · The paper itself

Abstract

Explaining variation in the extent of division of labour remains a major problem for our understanding of how complex life evolved. Ants show remarkable variation in their extent of reproductive division of labour, from workers who can reproduce sexually and are approximately the same size as queens, to workers that are completely sterile and 300x smaller than their queens. Examining data from 546 species of ant, we found that: (i) the ancestral ant worker likely had full reproductive potential, though was effectively sterile in the presence of a queen; (ii) the loss of worker reproductive potential generally followed a sequential step-by-step process, via reduced capacity for sexual reproduction, then the production of males only, and finally complete sterility; (iii) the independent evolution of complete sterility has occurred approximately 17 times, with only 42% of ant species having sterile workers; (iv) reproductive size dimorphism has increased to higher levels around 9 times. Exploring potential causality, we found support for the size-complexity hypothesis, that increased colony size has favoured increased division of labour between queens and workers, examining both queen-worker size dimorphism and the loss of reproductive capacity in workers.

Indexed as

AntsBiological EvolutionAnimalsBody SizeFemaleMaleReproductionantsdivision of labourthe size-complexity hypothesisworker sterility

Identifiers

PMID41313304
PMCPMC7618842

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.