Evidence map›Paper›PMID 35085234›Full record

ArticlePLoS genetics2022

Predictability and parallelism in the contemporary evolution of hybrid genomes.

Quinn K Langdon, Daniel L Powell, Bernard Kim, Shreya M Banerjee, Cheyenne Payne, Tristram O Dodge, Ben Moran, Paola Fascinetto-Zago, Molly Schumer

Abstract read
In one paragraph

Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Rapid urban evolution of the dengue mosquito in West African cities.bioRxiv : the preprint server for biology · 2026
    Article
  4. Sensitivity of genome-wide tests for mitonuclear genetic incompatibilities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The Ecology of Hybrid Incompatibilities.Cold Spring Harbor perspectives in biology · 2024
    Review
  15. Article
  16. Article
  17. Do genetic loci that cause reproductive isolation in the lab inhibit gene flow in nature?Evolution; international journal of organic evolution · 2024
    Article
  18. Article
  19. Article
  20. Genome evolution is surprisingly predictable after initial hybridization.bioRxiv : the preprint server for biology · 2023
    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

9 authors.

Quinn K LangdonDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-2141-3571
Daniel L PowellDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0001-9204-645X
Bernard KimDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-5025-1292
Shreya M BanerjeeDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0003-1210-2162
Cheyenne PayneDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0003-4651-3824
Tristram O DodgeDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0001-8382-431X
Ben MoranDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0001-5230-0863
Paola Fascinetto-ZagoCentro de Investigaciones Científicas de las Huastecas "Aguazarca", A.C., Calnali, Mexico.ORCID 0000-0002-2724-6030
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
A comparative population genomic approach for high-resolution inference of natural selection in fruit fliesF32GM135998 · NIGMS · STANFORD UNIVERSITY · PI KIM, BERNARD YOUNGSOO · 2020 to 2021
$131k
NIGMS NIH HHS F32 GM135998NIGMS NIH HHS R35 GM133774
6 · The paper itself

Abstract

Hybridization between species is widespread across the tree of life. As a result, many species, including our own, harbor regions of their genome derived from hybridization. Despite the recognition that this process is widespread, we understand little about how the genome stabilizes following hybridization, and whether the mechanisms driving this stabilization tend to be shared across species. Here, we dissect the drivers of variation in local ancestry across the genome in replicated hybridization events between two species pairs of swordtail fish: Xiphophorus birchmanni × X. cortezi and X. birchmanni × X. malinche. We find unexpectedly high levels of repeatability in local ancestry across the two types of hybrid populations. This repeatability is attributable in part to the fact that the recombination landscape and locations of functionally important elements play a major role in driving variation in local ancestry in both types of hybrid populations. Beyond these broad scale patterns, we identify dozens of regions of the genome where minor parent ancestry is unusually low or high across species pairs. Analysis of these regions points to shared sites under selection across species pairs, and in some cases, shared mechanisms of selection. We show that one such region is a previously unknown hybrid incompatibility that is shared across X. birchmanni × X. cortezi and X. birchmanni × X. malinche hybrid populations.

Indexed as

AnimalsCrosses, GeneticCyprinodontiformesEvolution, MolecularFish ProteinsGenomeHybridization, GeneticMaleFish Proteins

Identifiers

PMID35085234
PMCPMC8794199

What OpenQuestion holds

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Registered trials

None linked

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.