ReviewNature reviews. Genetics2026
Genetics and genomics of hybridization.
Review in Nature reviews. Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Once considered rare in some species groups, we now appreciate that hybridization between distinct lineages is a feature of essentially all branches of the eukaryotic tree of life. Determining the drivers of hybridization across species and locally along genomes is not just a question of history; it is fundamental to understanding genomic variation, adaptation and even disease risk across diverse species. Here, we start by reviewing methodological advances that may improve our understanding of the frequency of hybridization and its evolutionary effects. Next, we compile results from traditional and genomic sources of evidence to estimate the incidence of hybridization in nature and discuss the causes and consequences of this key evolutionary process. Finally, we highlight open questions, including whether hybridization promotes diversification, and how such questions could be addressed in the future.
Identifiers
42581144What OpenQuestion holds
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.