Evidence map›Paper›PMID 42595445›Full record

ArticleGenome research2026

A pangenome framework uncovers the role of deletions in repeated evolution of cave-derived traits.

Emma Y Roback, Maggs X, Edward S Ricemeyer, Adam Warlen, Rachel A Carroll, Christine G Elsik, Alex C Keene, Nicolas Rohner, Suzanne E McGaugh, Wesley C Warren

Abstract read
In one paragraph

Article in Genome research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Emma Y Roback *Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, Minnesota 55108, USA.ORCID http://orcid.org/0000-0001-5733-0551
Maggs X *Division of Animal Sciences, University of Missouri, Columbia, Missouri 65211, USA.
Edward S RicemeyerBond Life Sciences Center, University of Missouri, Columbia, Missouri 65211, USA.
Adam WarlenDivision of Animal Sciences, University of Missouri, Columbia, Missouri 65211, USA.
Rachel A CarrollDivision of Animal Sciences, University of Missouri, Columbia, Missouri 65211, USA.
Christine G ElsikDivision of Animal Sciences, Division of Plant Science and Technology, Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri 65211, USA.
Alex C KeeneDepartment of Biology, Texas A&M University, College Station, Texas 77843, USA.
Nicolas RohnerInstitute of Integrative Cell Biology and Physiology, University of Münster, 48149 Münster, Germany.
Suzanne E McGaughDepartment of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, Minnesota 55108, USA.
Wesley C WarrenDivision of Animal Sciences, Department of Surgery, Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri 65211, USA warrenwc@missouri.edu.

Funding

A genomic toolkit for functional interrogation of trait variation in an aquatic modelR24OD030214 · OD · UNIVERSITY OF MISSOURI-COLUMBIA · PI KEENE, ALEX C, WARREN, WESLEY CHARLES · 2022 to 2025
$2.8M
NIH HHS R24 OD030214
6 · The paper itself

Abstract

Structural variants (SVs) are increasingly recognized as key contributors to adaptive evolution, yet they remain underexplored compared with single-nucleotide variation. To understand how large-scale genomic changes shape repeated evolution, we leveraged multiple levels of sequence data across the powerful evolutionary model system of the Mexican tetra fish (

Indexed as

CharacidaeEvolution, MolecularGenomeGenomic Structural VariationSequence DeletionAnimalsCavesPhenotypeQuantitative Trait LociSelection, Genetic

Identifiers

PMID42595445
PMCPMC13534238

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.