Evidence map›Paper›PMID 42547412›Full record

ArticleMolecular ecology2026

In Situ GWAS in Two Range-Edge Populations of European Beech (Fagus sylvatica L.) Identify Genetic Factors of Adaptation to Climate Change.

Lauren Clément, Andrea Modica, Isabelle Lesur Kupin, Christophe Plomion, Catherine Bodénès, Grégoire Le Provost, Sylvie Oddou-Muratorio, Katrin Heer, Marie Mirouze, Marie-Christine Carpentier and 14 more

Abstract read
In one paragraph

Article in Molecular ecology, 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

24 authors.

Lauren ClémentLaboratoire Génome et Développement Des Plantes, UMR 5096, CNRS/UPVD/IRD, Université de Perpignan via Domitia, Perpignan, France.ORCID https://orcid.org/0009-0001-6831-989X
Andrea ModicaURFM, INRAE, Avignon, France.ORCID https://orcid.org/0000-0003-3524-9650
Isabelle Lesur KupinINRAE, Univ. Bordeaux, BIOGECO, Cestas, France.
Christophe PlomionINRAE, Univ. Bordeaux, BIOGECO, Cestas, France.
Catherine BodénèsINRAE, Univ. Bordeaux, BIOGECO, Cestas, France.
Grégoire Le ProvostINRAE, Univ. Bordeaux, BIOGECO, Cestas, France.
Sylvie Oddou-MuratorioECOBIOP, INRAE, Saint Pée sur Nivelle, France.ORCID https://orcid.org/0000-0003-2374-8313
Katrin HeerEva Mayr-Stihl Professorship of Forest Genetics, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0002-1036-599X
Marie MirouzeLaboratoire Génome et Développement Des Plantes, UMR 5096, CNRS/UPVD/IRD, Université de Perpignan via Domitia, Perpignan, France.ORCID https://orcid.org/0000-0002-0514-1270
Marie-Christine CarpentierLaboratoire Génome et Développement Des Plantes, UMR 5096, CNRS/UPVD/IRD, Université de Perpignan via Domitia, Perpignan, France.ORCID https://orcid.org/0000-0002-4795-9054
Bartosz UlaszewskiDepartment of Genetics, Faculty of Biological Sciences, Kazimierz Wielki University, Bydgoszcz, Poland.ORCID https://orcid.org/0000-0003-2981-1205
William MarandeFrench Plant Genomic Resource Center, INRAE-CNRGV, Castanet Tolosan, France.ORCID https://orcid.org/0009-0009-1277-1754
Jean-Marc AuryGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS Univ Evry, Université Paris-Saclay Evry, Evry, France.ORCID https://orcid.org/0000-0003-1718-3010
Simone DupratGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS Univ Evry, Université Paris-Saclay Evry, Evry, France.
Corinne da SilvaGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS Univ Evry, Université Paris-Saclay Evry, Evry, France.
Benjamin NoelGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS Univ Evry, Université Paris-Saclay Evry, Evry, France.
Corinne CruaudGenoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.
Karine LabadieGenoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.
Joëlle AmselemUniversité Paris-Saclay, INRAE, BioinfOmics, URGI, Versailles, France.
Johann ConfaisUniversité Paris-Saclay, INRAE, BioinfOmics, URGI, Versailles, France.ORCID https://orcid.org/0000-0003-2945-5036
Hadi QuesnevilleUniversité Paris-Saclay, INRAE, BioinfOmics, URGI, Versailles, France.ORCID https://orcid.org/0000-0003-3001-4908
Jean-André MagdalouRéserve Naturelle Nationale de la forêt de la Massane, Argelès-sur-Mer, France.
Olivier PanaudLaboratoire Génome et Développement Des Plantes, UMR 5096, CNRS/UPVD/IRD, Université de Perpignan via Domitia, Perpignan, France.ORCID https://orcid.org/0000-0002-9292-503X
Ivan ScottiURFM, INRAE, Avignon, France.ORCID https://orcid.org/0000-0002-8951-2680

Funding

ecole universitaire de recherche tulip GS ANR-18-EURE-0019Horizon 2020 Framework Programme 822221
6 · The paper itself

Abstract

In forest tree populations, the timing of budbreak (TBB) depends on several factors, both environmental and genetic. The genomic architecture underlying this trait is still not fully characterized. So far, common garden experiments have highlighted a few genomic regions with little heritability, while the whole spectrum of TBB variation observed in the wild still remains unexplored. We performed an in situ genome-wide association study (GWAS) to investigate the genetic and environmental bases of phenotypic variation in budbreak in two wild range-edge populations of the temperate continental tree, European beech (Fagus sylvatica L.) surveyed in two consecutive years. We found distinct significant loci between populations and among years, suggesting that local adaptation has occurred and that genotype-by-environment interactions contribute to the observed variation. The phenotypic variance explained by the significant loci is between 0.2% and 54% for field data and 0% to 59% for modelled data, which suggests that while some traits are polygenic, some others are influenced by a few loci with large effects in the population, which demonstrates the relevance of conducting in situ GWAS in multiple populations. Our findings provide novel insights into the complex genetic architecture of TBB in forest trees. The genetic diversity of budbreak control provides opportunities for selection that could be used through assisted migration to help prepare beech forests to face climate change.

Indexed as

Adaptation, PhysiologicalClimate ChangeFagusGenetics, PopulationGenome-Wide Association StudyGene-Environment InteractionGenetic VariationGenotypePhenotypePolymorphism, Single NucleotideTreesbeech (Fagus sylvatica L.)budbreakGWASlocal adaptationQTL

Identifiers

PMID42547412
PMCPMC13433324

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.