Evidence map›Paper›PMID 41376197›Full record

ArticleThe New phytologist2026

Contemporary hybridization among Arabis floodplain species creates opportunities for adaptation.

Neda Rahnamae, Lukas Metzger, Lea Hördemann, Kevin Korfmann, Abdul Saboor Khan, Yasar Özoglan, Craig I Dent, Samija Amar, Raúl Y Wijfjes, Tahir Ali and 4 more

Abstract read
In one paragraph

Article in The New phytologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Neda RahnamaeInstitute for Plant Sciences, Biocenter, Cologne, 50674, Germany.ORCID https://orcid.org/0009-0005-1607-0323
Lukas MetzgerProfessorship for Population Genetics, Department of Life Science Systems, Technical University of Munich, Freising, 85354, Germany.ORCID https://orcid.org/0009-0007-3791-0154
Lea HördemannInstitute for Plant Sciences, Biocenter, Cologne, 50674, Germany.
Kevin KorfmannInstitute of Ecology and Evolution, University of Oregon, Eugene, OR, 97402, USA.ORCID https://orcid.org/0000-0001-8869-8949
Abdul Saboor KhanInstitute for Plant Sciences, Biocenter, Cologne, 50674, Germany.ORCID https://orcid.org/0000-0001-7924-7986
Yasar ÖzoglanInstitute for Plant Sciences, Biocenter, Cologne, 50674, Germany.
Craig I DentDepartment of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, 50829, Germany.ORCID https://orcid.org/0000-0001-5688-3824
Samija AmarDepartment of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, 50829, Germany.ORCID https://orcid.org/0000-0001-7811-1614
Raúl Y WijfjesFaculty of Biology, LMU Munich, Planegg-Martinsried, 82152, Germany.ORCID https://orcid.org/0000-0003-0806-2911
Tahir AliInstitute for Plant Sciences, Biocenter, Cologne, 50674, Germany.
Gregor SchmitzInstitute for Plant Sciences, Biocenter, Cologne, 50674, Germany.
Benjamin StichJulius Kühn Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Breeding Research on Agricultural Crops, Sanitz, 18190, Germany.ORCID https://orcid.org/0000-0001-6791-8068
Aurelien TellierProfessorship for Population Genetics, Department of Life Science Systems, Technical University of Munich, Freising, 85354, Germany.ORCID https://orcid.org/0000-0002-8895-0785
Juliette de MeauxInstitute for Plant Sciences, Biocenter, Cologne, 50674, Germany.ORCID https://orcid.org/0000-0002-2942-4750

Funding

Deutsche Forschungsgemeinschaft EXC 2048/1-390686111Deutsche Forschungsgemeinschaft ME2742/13-1Deutsche Forschungsgemeinschaft TRR34European Life Science Infrastructure for Biological Information W-de.NBI-001European Life Science Infrastructure for Biological Information W-de.NBI-004European Life Science Infrastructure for Biological Information W-de.NBI-008European Life Science Infrastructure for Biological Information W-de.NBI-010European Life Science Infrastructure for Biological Information W-de.NBI-013European Life Science Infrastructure for Biological Information W-de.NBI-014European Life Science Infrastructure for Biological Information W-de.NBI-016European Life Science Infrastructure for Biological Information W-de.NBI-022
6 · The paper itself

Abstract

Hybridization between closely related species is increasingly recognized as a major source of biodiversity. Yet, whether it can create advantageous trait combinations while purging harmful alleles remains unknown. To address this question, we studied Arabis nemorensis and Arabis sagittata, two endangered species that currently hybridize in a single hotspot. We chose two representative individuals originating from the hotspot, generated high-quality annotated genome sequences, crossed them to form an F2 population, quantified segregation distortion along the genome, measured 22 phenotypic traits and mapped their genetic basis. Two genomic regions showed strong segregation distortion favoring A. sagittata alleles in the F2 and potentially accelerating their introgression. Fifty-eight quantitative trait loci (QTLs) were identified for 20 traits, with additive and dominance effects best fitting Gaussian and logistic distributions, respectively. It was found that 48% of QTLs were unlinked to reduced fitness or segregation distortion. A major QTL affecting flowering time implicated Terminal-Flower 1 (TFL1) as a candidate gene for life-history adaptation. QTLs did not overlap with recent selective sweeps, except for those controlling rosette size. Our findings offer unique insights into both the potential for adaptive trait combinations and the constraints imposed by hybrid fitness loss during incipient stages of hybridization.

Indexed as

Adaptation, PhysiologicalArabisHybridization, GeneticAllelesFlowersGenome, PlantPhenotypeQuantitative Trait, HeritableQuantitative Trait LociArabis nemorensisArabis sagittatefine‐mappinggenetic incompatibilityhybridizationquantitative trait loci (QTL)segregation distortion

Identifiers

PMID41376197
PMCPMC12780310

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.