Evidence map›Paper›PMID 41591393›Full record

ArticleSystematic biology2026

Unravelling Complex Hybrid and Polyploid Evolutionary Relationships Using Phylogenetic Placement of Homologous Gene Copies from Target Enrichment Data.

Nora Walden, Christiane Kiefer, Marcus A Koch

Abstract read
In one paragraph

Article in Systematic biology, 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
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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

3 authors.

Nora WaldenCentre for Organismal Studies, Heidelberg University, Im Neuenheimer Feld 345, 69120 Heidelberg, Germany.ORCID 0000-0002-3078-6791
Christiane KieferCentre for Organismal Studies, Heidelberg University, Im Neuenheimer Feld 345, 69120 Heidelberg, Germany.ORCID 0000-0002-9126-513X
Marcus A KochCentre for Organismal Studies, Heidelberg University, Im Neuenheimer Feld 345, 69120 Heidelberg, Germany.

Funding

German Research Foundation KO2302/23-2
6 · The paper itself

Abstract

Phylogenomic data sets comprising hundreds of genes have become the standard for plant systematics and phylogenetics. However, large-scale phylogenomic studies often exclude polyploids and hybrids due to the challenges in assessing the origin of duplicated loci and incorporating them into tree reconstruction methods. Using a newly generated target enrichment data set of 1081 genes from 452 samples from the Brassicaceae tribe Arabideae, including many hybrid and high ploidy taxa, we developed a novel approach to disentangle the evolutionary history of this phylogenetically and taxonomically challenging clade. Our approach extends beyond commonly used gene tree-species tree reconciliation techniques by using phylogenetic placement, a method adopted from metagenomics, of gene copies into a diploid tree. We show how it allows for the simultaneous assessment of the origins of ancient and recent hybrids and autopolyploids, and the detection of nested polyploidization events. Additionally, we demonstrate how synonymous substitution rates provide further evidence for the mode of polyploidization, specifically to distinguish between allo- and autopolyploidization, and to identify hybridization events involving a ghost lineage. Our approach can serve as an exploratory tool for large and complex phylogenomic data sets and can aid in identifying polyploid and hybrid clades for further analysis with specialized methods.

Indexed as

BrassicaceaeClassificationEvolution, MolecularGene DosageHybridization, GeneticPhylogenyPolyploidyGenes, PlantAngiosperms353ArabideaeBrassicaceae764phylogenetic placementpolyploid phylogenomicstarget enrichmentwhole-genome duplications

Identifiers

PMID41591393
PMCPMC13637605

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Registered trials

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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.