Evidence map›Paper›PMID 39362898›Full record

ArticleNature communications2024

Genomic variation of European beech reveals signals of local adaptation despite high levels of phenotypic plasticity.

Desanka Lazic, Cornelia Geßner, Katharina J Liepe, Isabelle Lesur-Kupin, Malte Mader, Céline Blanc-Jolivet, Dušan Gömöry, Mirko Liesebach, Santiago C González-Martínez, Matthias Fladung and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
  7. Article
  8. Natural variation inScience advances · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Conservation Genomics ofEvolutionary applications · 2026
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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

12 authors.

Desanka LazicThünen Institute of Forest Genetics, Grosshansdorf, Germany.ORCID 0000-0002-5932-6019
Cornelia GeßnerThünen Institute of Forest Genetics, Grosshansdorf, Germany.ORCID 0000-0001-6588-727X
Katharina J LiepeThünen Institute of Forest Genetics, Grosshansdorf, Germany.ORCID 0000-0003-0511-4325
Isabelle Lesur-KupinBIOGECO, INRAE, University of Bordeaux, Cestas, France.
Malte MaderThünen Institute of Forest Genetics, Grosshansdorf, Germany.ORCID 0000-0002-4808-2717
Céline Blanc-JolivetThünen Institute of Forest Genetics, Grosshansdorf, Germany.
Dušan GömöryFaculty of Forestry, Technical University in Zvolen, Zvolen, Slovakia.ORCID 0000-0002-9426-4247
Mirko LiesebachThünen Institute of Forest Genetics, Grosshansdorf, Germany.
Santiago C González-MartínezBIOGECO, INRAE, University of Bordeaux, Cestas, France.ORCID 0000-0002-4534-3766
Matthias FladungThünen Institute of Forest Genetics, Grosshansdorf, Germany.ORCID 0000-0001-9301-8581
Bernd DegenThünen Institute of Forest Genetics, Grosshansdorf, Germany.ORCID 0000-0001-9082-3163
Niels A MüllerThünen Institute of Forest Genetics, Grosshansdorf, Germany. niels.mueller@thuenen.de.ORCID 0000-0001-5213-042X

Funding

Fachagentur Nachwachsende Rohstoffe (Agency for Renewable Resources) 2219WK60A4
6 · The paper itself

Abstract

Local adaptation is key for ecotypic differentiation and species evolution. Understanding underlying genomic patterns can allow the prediction of future maladaptation and ecosystem stability. Here, we report the whole-genome resequencing of 874 individuals from 100 range-wide populations of European beech (Fagus sylvatica L.), an important forest tree species in Europe. We show that genetic variation closely mirrors geography with a clear pattern of isolation-by-distance. Genome-wide analyses for genotype-environment associations (GEAs) identify relatively few potentially adaptive variants after correcting for an overwhelming signal of statistically significant but non-causal GEAs. We characterize the single high confidence genomic region and pinpoint a candidate gene possibly involved in winter temperature adaptation via modulation of spring phenology. Surprisingly, allelic variation at this locus does not result in any apparent fitness differences in a common garden. More generally, reciprocal transplant experiments across large climate distances suggest extensive phenotypic plasticity. Nevertheless, we find indications of polygenic adaptation which may be essential in natural ecosystems. This polygenic signal exhibits broad- and fine-scale variation across the landscape, highlighting the relevance of spatial resolution. In summary, our results emphasize the importance, but also exemplify the complexity, of employing natural genetic variation for forest conservation under climate change.

Indexed as

Adaptation, PhysiologicalFagusGenetic VariationClimate ChangeEcosystemEuropeForestsGenome, PlantGenome-Wide Association StudyGenotypePhenotypePolymorphism, Single NucleotideWhole Genome Sequencing

Identifiers

PMID39362898
PMCPMC11450180

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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.