ArticleEcology and evolution2025
Experimentally Testing the Hypothesis That Hybrid Fitness Can Increase Evolutionarily: An Example in Spadefoot Toads.
Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Experimentally Testing the Hypothesis That Hybrid Fitness Can Increase Evolutionarily: An Example in Spadefoot Toads.Ecology and evolution · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Hybrids often have reduced fitness because of genetic incompatibilities. If populations contain variation at loci involved in these genetic incompatibilities, then selection can disfavor alleles involved in incompatibilities, thereby reducing their frequency within the parent-lineages' gene pools in the hybridizing population. Such selection can concomitantly increase hybrid fitness in populations over evolutionary time. This hypothesis predicts that hybrid fitness should be higher in populations where species have hybridized for longer periods (or where hybridization is more frequent) versus in populations where species have hybridized for a shorter duration (or where hybridization is less frequent). We tested this prediction in spadefoot toads,
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Registered trials
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.