Evidence map›Paper›PMID 29720444›Full record

ReviewBiology letters2018

Getting somewhere with the Red Queen: chasing a biologically modern definition of the hypothesis.

Luke C Strotz, Marianna Simões, Matthew G Girard, Laura Breitkreuz, Julien Kimmig, Bruce S Lieberman

Abstract readReview
In one paragraph

Review in Biology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Curve-fitting alone cannot validate neutral theory.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Age-dependent extinction and the neutral theory of biodiversity.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Suitability of red fox (Current research in parasitology & vector-borne diseases · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Viruses · 2020
    Article
  18. Article
  19. 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.

Luke C StrotzDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA lukestrotz@ku.edu.ORCID 0000-0002-8818-1832
Marianna SimõesDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA.
Matthew G GirardDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA.
Laura BreitkreuzDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA.
Julien KimmigBiodiversity Institute, University of Kansas, Lawrence, KS 66045, USA.
Bruce S LiebermanDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Red Queen hypothesis (RQH) is both familiar and murky, with a scope and range that has broadened beyond its original focus. Although originally developed in the palaeontological arena, it now encompasses many evolutionary theories that champion biotic interactions as significant mechanisms for evolutionary change. As such it de-emphasizes the important role of abiotic drivers in evolution, even though such a role is frequently posited to be pivotal. Concomitant with this shift in focus, several studies challenged the validity of the RQH and downplayed its propriety. Herein, we examine in detail the assumptions that underpin the RQH in the hopes of furthering conceptual understanding and promoting appropriate application of the hypothesis. We identify issues and inconsistencies with the assumptions of the RQH, and propose a redefinition where the Red Queen's reign is restricted to certain types of biotic interactions and evolutionary patterns occurring at the population level.

Indexed as

Biological EvolutionExtinction, BiologicalCompetitive BehaviorEcosystemModels, BiologicalPaleontologySelection, GeneticcompetitionenvironmentextinctionmacroevolutionRed Queen hypothesis

Identifiers

PMID29720444
PMCPMC6012711

What OpenQuestion holds

Textmetadata
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.