Evidence map›Paper›PMID 25355473›Full record

ReviewProceedings. Biological sciences2014

Running with the Red Queen: the role of biotic conflicts in evolution.

Michael A Brockhurst, Tracey Chapman, Kayla C King, Judith E Mank, Steve Paterson, Gregory D D Hurst

Abstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing 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

134 citing papers in PubMed.

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  20. Typification of the Economically Important SpeciesAnimals : an open access journal from MDPI · 2025
    Article

74 more citing papers are in PubMed but not listed here.

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.

Michael A BrockhurstDepartment of Biology, University of York, Wentworth Way, York YO10 5DD, UK michael.brockhurst@york.ac.uk.
Tracey ChapmanSchool of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.
Kayla C KingDepartment of Zoology, University of Oxford, Oxford OX1 3PS, UK.
Judith E MankDepartment of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK.
Steve PatersonInstitute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Gregory D D HurstInstitute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/L003139/1
6 · The paper itself

Abstract

What are the causes of natural selection? Over 40 years ago, Van Valen proposed the Red Queen hypothesis, which emphasized the primacy of biotic conflict over abiotic forces in driving selection. Species must continually evolve to survive in the face of their evolving enemies, yet on average their fitness remains unchanged. We define three modes of Red Queen coevolution to unify both fluctuating and directional selection within the Red Queen framework. Empirical evidence from natural interspecific antagonisms provides support for each of these modes of coevolution and suggests that they often operate simultaneously. We argue that understanding the evolutionary forces associated with interspecific interactions requires incorporation of a community framework, in which new interactions occur frequently. During their early phases, these newly established interactions are likely to drive fast evolution of both parties. We further argue that a more complete synthesis of Red Queen forces requires incorporation of the evolutionary conflicts within species that arise from sexual reproduction. Reciprocally, taking the Red Queen's perspective advances our understanding of the evolution of these intraspecific conflicts.

Indexed as

Biological EvolutionModels, BiologicalAnimalsConflict, PsychologicalHost-Parasite InteractionsReproductionSelection, GeneticSex CharacteristicscoevolutionRed Queen hypothesissexual selection

Identifiers

PMID25355473
PMCPMC4240979

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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.