Evidence map›Paper›PMID 34848793›Full record

ArticleScientific reports2021

Genetic diversity of Norway spruce ecotypes assessed by GBS-derived SNPs.

Jiří Korecký, Jaroslav Čepl, Jan Stejskal, Zuzana Faltinová, Jakub Dvořák, Milan Lstibůrek, Yousry A El-Kassaby

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Population genetics ofFrontiers in plant science · 2024
    Article
  5. Article
  6. Genetic diversity and structure of the 4Frontiers in plant science · 2023
    Article
  7. Article
  8. 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

7 authors.

Jiří KoreckýCzech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Kamýcká 129, Suchdol, 165 00, Praha, Czech Republic. korecky@fld.czu.cz.ORCID 0000-0001-7859-1750
Jaroslav ČeplCzech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Kamýcká 129, Suchdol, 165 00, Praha, Czech Republic.
Jan StejskalCzech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Kamýcká 129, Suchdol, 165 00, Praha, Czech Republic.
Zuzana FaltinováCzech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Kamýcká 129, Suchdol, 165 00, Praha, Czech Republic.
Jakub DvořákCzech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Kamýcká 129, Suchdol, 165 00, Praha, Czech Republic.
Milan LstibůrekCzech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Kamýcká 129, Suchdol, 165 00, Praha, Czech Republic.
Yousry A El-KassabyDepartment of Forest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the genetic structure of three phenotypically distinct ecotypic groups of Norway spruce (Picea abies) belonging to three elevational classes; namely, low- (acuminata), medium- (europaea), and high-elevation (obovata) form, each represented by 150 trees. After rigorous filtering, we used 1916 Genotyping-by-Sequencing generated SNPs for analysis. Outputs from three multivariate analysis methods (Bayesian clustering algorithm implemented in STRUCTURE, Principal Component Analysis, and the Discriminant Analysis of Principal Components) indicated the presence of a distinct genetic cluster representing the high-elevation ecotypic group. Our findings bring a vital message to forestry practice affirming that artificial transfer of forest reproductive material, especially for stands under harsh climate conditions, should be considered with caution.

Indexed as

Polymorphism, Single NucleotideAlgorithmsBayes TheoremChromosome MappingClimateDiscriminant AnalysisEcotypeForestryGenetic VariationGenotypeGeographyMultivariate AnalysisPiceaPollenPrincipal Component AnalysisSequence Analysis, DNA

Identifiers

PMID34848793
PMCPMC8632914

What OpenQuestion holds

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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.