Evidence map›Paper›PMID 32152103›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Trait evolution is reversible, repeatable, and decoupled in the soldier caste of turtle ants.

Scott Powell, Shauna L Price, Daniel J C Kronauer

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 53 citations in OpenAlex.

  1. Loss, persistence and reversal of phenotypic traits.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  2. Article
  3. Article
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  5. Article
  6. From Egg to Adult: A Developmental Table of the Ant Monomorium pharaonis.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2024
    Article
  7. Juvenile hormone as a key regulator for asymmetric caste differentiation in ants.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The evolution of body size in termites.Proceedings. Biological sciences · 2021
    Article
  13. Article
  14. 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

3 authors at 2 institutions in 1 country.

Scott PowellDepartment of Biological Sciences, George Washington University, Washington, DC 20052; scottpowell@gwu.edu.ORCID 0000-0001-5970-8941
Shauna L PriceDepartment of Biological Sciences, George Washington University, Washington, DC 20052.
Daniel J C KronauerLaboratory of Social Evolution and Behavior, The Rockefeller University, New York, NY 10065.
George Washington University · USRockefeller University · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

The scope of adaptive phenotypic change within a lineage is shaped by how functional traits evolve. Castes are defining functional traits of adaptive phenotypic change in complex insect societies, and caste evolution is expected to be phylogenetically conserved and developmentally constrained at broad phylogenetic scales. Yet how castes evolve at the species level has remained largely unaddressed. Turtle ant soldiers (genus

Indexed as

Adaptation, BiologicalBiological EvolutionHierarchy, SocialSocial BehaviorAnimalsAntsHeadPhenotypePhylogenyadaptive radiationCephalotesniche fillingpolymorphismpolyphenism

Identifiers

PMID32152103
PMCPMC7104247
OpenAlexW3010125881

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.