Evidence map›Paper›PMID 42773565›Full record

ArticlePhysiologia plantarum

Genome-Wide Association Study in European Beech (Fagus sylvatica L.) for Drought Stress Related Traits.

Mila Tost, Ourania Grigoriadou-Zormpa, Selina Wilhelmi, Timothy Beissinger, Mehdi Ben Targem, Markus Müller, Henning Wildhagen, Alexandru Lucian Curtu, Oliver Gailing

Abstract read
In one paragraph

Article in Physiologia plantarum. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Mila TostDivision of Plant Breeding Methodology, University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0009-0001-3460-5994
Ourania Grigoriadou-ZormpaForest Genetics and Forest Tree Breeding, University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0009-0000-2994-0643
Selina WilhelmiForest Genetics and Forest Tree Breeding, University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0001-7640-6523
Timothy BeissingerDivision of Plant Breeding Methodology, University of Göttingen, Göttingen, Germany.
Mehdi Ben TargemFaculty of Resource Management, HAWK, Göttingen, Germany.ORCID https://orcid.org/0000-0001-8098-8984
Markus MüllerForest Genetics and Forest Tree Breeding, University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0001-9990-0719
Henning WildhagenFaculty of Resource Management, HAWK, Göttingen, Germany.ORCID https://orcid.org/0000-0003-4970-8539
Alexandru Lucian CurtuDepartment of Silviculture, Transilvania University of Brasov, Brasov, Romania.ORCID https://orcid.org/0000-0001-8509-279X
Oliver GailingForest Genetics and Forest Tree Breeding, University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0002-4572-2408

Funding

Federal Ministry of Food and Agriculture-FNR-Waldklimafonds 2218WK43A4Federal Ministry of Food and Agriculture-FNR-Waldklimafonds 2218WK43B4
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) aim to identify loci associated with different traits, which could be evaluated in subsequent studies and later be prioritized in individual and seed stand selection. In trees, traits are measured at maturity or are only available after a long time, and juvenile-mature correlations are often unknown. Therefore, it is a promising approach to study natural populations directly. Data were collected from approximately 100 adult beech trees per stand in five locations in the Postăvarul Massif, South-Eastern Romanian Carpathians (Carpații de Curbură) along an altitudinal gradient associated with precipitation and temperature. We performed GWAS on 610,678 single-nucleotide polymorphisms (SNPs) using PLINK and Genome-wide Efficient Mixed Model Association (GEMMA) to identify SNP markers associated with drought-stress-related traits. Even though this study used a natural population, we found very interesting associations while accounting for environmental heterogeneity along the altitudinal gradient. A total of 88 markers were associated with stomatal density. Seventy-two markers are located on chromosome 10 in a region spreading from ~5.48 to 13.67 Mb. We found five gene annotations in this region that are thought to play a role in controlling stomatal density in Arabidopsis. All markers within this region exhibit similar allele frequencies, which indicate a connection to stomatal density and the altitudinal gradient. This entire region may be under joint selection for stomatal features. Our research provides insights into the genetic architecture of various drought-stress traits in the studied population.

Indexed as

FagusGenome-Wide Association StudyStress, PhysiologicalDrought ResistanceDroughtsGene FrequencyPhenotypePolymorphism, Single NucleotideQuantitative Trait LociFagus sylvaticaGWASnatural populationpolygenic selectionpopulation geneticsquantitative genetics

Identifiers

PMID42773565
PMCPMC13598277

What Socratic holds

Textmetadata
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 Socratic graph.