Evidence map›Paper›PMID 39186811›Full record

ArticlePLoS biology2024

Swordtail fish hybrids reveal that genome evolution is surprisingly predictable after initial hybridization.

Quinn K Langdon, Jeffrey S Groh, Stepfanie M Aguillon, Daniel L Powell, Theresa Gunn, Cheyenne Payne, John J Baczenas, Alex Donny, Tristram O Dodge, Kang Du and 5 more

Abstract read
In one paragraph

Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Sensitivity of genome-wide tests for mitonuclear genetic incompatibilities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
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  17. Article
  18. Article
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Quinn K LangdonDepartment of Biology, Stanford University, Stanford, California, United States of America.
Jeffrey S GrohCenter for Population Biology and Department of Evolution and Ecology, University of California, Davis, Davis, California, United States of America.
Stepfanie M AguillonDepartment of Biology, Stanford University, Stanford, California, United States of America.
Daniel L PowellDepartment of Biology, Stanford University, Stanford, California, United States of America.
Theresa GunnDepartment of Biology, Stanford University, Stanford, California, United States of America.
Cheyenne PayneDepartment of Biology, Stanford University, Stanford, California, United States of America.
John J BaczenasDepartment of Biology, Stanford University, Stanford, California, United States of America.
Alex DonnyDepartment of Biology, Stanford University, Stanford, California, United States of America.
Tristram O DodgeDepartment of Biology, Stanford University, Stanford, California, United States of America.
Kang DuXiphophorus Genetic Stock Center, Texas State University San Marcos, San Marcos, United States of America.
Manfred SchartlXiphophorus Genetic Stock Center, Texas State University San Marcos, San Marcos, United States of America.
Oscar Ríos-CárdenasRed de Biología Evolutiva, Instituto de Ecología, A.C., Xalapa, Veracruz, Mexico.
Carla Gutiérrez-RodríguezRed de Biología Evolutiva, Instituto de Ecología, A.C., Xalapa, Veracruz, Mexico.
Molly MorrisDepartment of Biological Sciences, Ohio University, Athens, Ohio, United States of America.
Molly SchumerDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-2075-5668

Funding

The population genomics of hybridization: from genetic incompatibilities to genome evolutionR35GM133774 · NIGMS · STANFORD UNIVERSITY · PI Molly Schumer · 2019 to 2026
$3.3M
The impact of natural selection and population structure on human genomic variationR35GM136290 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Graham Coop · 2020 to 2026
$2.6M
NIGMS NIH HHS R35 GM133774NIGMS NIH HHS R35 GM136290
6 · The paper itself

Abstract

Over the past 2 decades, biologists have come to appreciate that hybridization, or genetic exchange between distinct lineages, is remarkably common-not just in particular lineages but in taxonomic groups across the tree of life. As a result, the genomes of many modern species harbor regions inherited from related species. This observation has raised fundamental questions about the degree to which the genomic outcomes of hybridization are repeatable and the degree to which natural selection drives such repeatability. However, a lack of appropriate systems to answer these questions has limited empirical progress in this area. Here, we leverage independently formed hybrid populations between the swordtail fish Xiphophorus birchmanni and X. cortezi to address this fundamental question. We find that local ancestry in one hybrid population is remarkably predictive of local ancestry in another, demographically independent hybrid population. Applying newly developed methods, we can attribute much of this repeatability to strong selection in the earliest generations after initial hybridization. We complement these analyses with time-series data that demonstrates that ancestry at regions under selection has remained stable over the past approximately 40 generations of evolution. Finally, we compare our results to the well-studied X. birchmanni × X. malinche hybrid populations and conclude that deeper evolutionary divergence has resulted in stronger selection and higher repeatability in patterns of local ancestry in hybrids between X. birchmanni and X. cortezi.

Indexed as

CyprinodontiformesEvolution, MolecularGenomeHybridization, GeneticAnimalsSelection, Genetic

Identifiers

PMID39186811
PMCPMC11379403

What OpenQuestion holds

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LicenceCC BY
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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.