Evidence map›Paper›PMID 25403727›Full record

ArticleEvolution; international journal of organic evolution2015

A phylogenetic test of the Red Queen Hypothesis: outcrossing and parasitism in the Nematode phylum.

Amanda Kyle Gibson, Jesualdo Arturo Fuentes

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. ParthenogeneticEcology and evolution · 2019
    Article
  5. Article
  6. Article
  7. 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

2 authors.

Amanda Kyle GibsonDepartment of Biology, Indiana University, Bloomington, Indiana, 47405. amakgibs@indiana.edu.
Jesualdo Arturo Fuentes

Funding

Common Themes in Reproductive DiversityT32HD049336 · NICHD · TRUSTEES OF INDIANA UNIVERSITY · PI DALE R SENGELAUB · 2005 to 2026
$4.4M
NICHD NIH HHS T32 HD049336
6 · The paper itself

Abstract

Sexual outcrossing is costly relative to selfing and asexuality, yet it is ubiquitous in nature, a paradox that has long puzzled evolutionary biologists. The Red Queen Hypothesis argues that outcrossing is maintained by antagonistic interactions between host and parasites. Most tests of this hypothesis focus on the maintenance of outcrossing in hosts. The Red Queen makes an additional prediction that parasitic taxa are more likely to be outcrossing than their free-living relatives. We test this prediction in the diverse Nematode phylum using phylogenetic comparative methods to evaluate trait correlations. In support of the Red Queen, we demonstrate a significant correlation between parasitism and outcrossing in this clade. We find that this correlation is driven by animal parasites, for which outcrossing is significantly enriched relative to both free-living and plant parasitic taxa. Finally, we test hypotheses for the evolutionary history underlying the correlation of outcrossing and animal parasitism. Our results demonstrate that selfing and asexuality are significantly less likely to arise on parasitic lineages than on free-living ones. The findings of this study are consistent with the Red Queen Hypothesis. Moreover, they suggest that the maintenance of genetic variation is an important factor in the persistence of parasitic lineages.

Indexed as

PhylogenyReproductionAnimalsBiological EvolutionHermaphroditic OrganismsNematodaParasitesParthenogenesisPlantsAsexual reproductioncontinuous-time Markov modelhost-parasite coevolutionselfingsexual outcrossingstochastic character mapping

Identifiers

PMID25403727
PMCPMC5323264

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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.