Evidence map›Paper›PMID 42765933›Full record

ArticleThe New phytologist2026

Whole-genome duplication promotes phenotypic and genetic adaptation to elevation.

Sandra Grünig, Marc Beringer, Christian Parisod

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

3 authors.

Sandra GrünigDepartment of Biology, University of Fribourg, 1700, Fribourg, Switzerland.ORCID https://orcid.org/0000-0003-4210-4206
Marc BeringerDepartment of Biology, University of Fribourg, 1700, Fribourg, Switzerland.ORCID https://orcid.org/0009-0004-0384-0176
Christian ParisodDepartment of Biology, University of Fribourg, 1700, Fribourg, Switzerland.ORCID https://orcid.org/0000-0001-8798-0897

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 31003A_178938
6 · The paper itself

Abstract

Whole-genome duplication (WGD) is often considered as either an adaptive dead-end or a facilitator of rapid adaptation under changing environments. How diploids vs tetraploids out of WGD respond to selection remains, however, poorly understood. Using whole-genome sequence data and phenotypic evidence from transplant experiments of diploid and autotetraploid populations of Biscutella laevigata (Brassicaceae) sampled at low and high elevation in a factorial design, we here assessed how genomic and phenotypic variation responded to selection across elevation in each ploidal level. While all populations showed similar decay of linkage disequilibrium and synonymous genetic variation, tetraploids showed higher nonsynonymous genetic variation, consistent with relaxed purifying selection following WGD and a higher proportion of candidate loci supportive of adaptation to elevation than diploids. Despite the strong plasticity of most phenotypes in both ploidal levels, diploids maintained high fitness homeostasis across elevation, whereas genetically variable tetraploids exhibited contrasted fitness consistent with adaptation to elevation. As compared to diploids of B. laevigata that evolved adaptive phenotypic plasticity, genomic variation accumulated in tetraploids promoted a strong response to selection, refuting the prediction that WGD is an adaptive dead-end and indicating that it promotes post-WGD adaptation across heterogenous environments.

Indexed as

Adaptation, PhysiologicalAltitudeBrassicaceaeGene DuplicationGenome, PlantDiploidyGenetic VariationLinkage DisequilibriumPhenotypeSelection, GeneticTetraploidyadaptationautopolyploidyBiscutella laevigataelevation gradienttransplant experimentwhole‐genome sequencing

Identifiers

PMID42765933
PMCPMC13669793

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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.