Evidence map›Paper›PMID 31166032›Full record

ArticleThe Plant journal : for cell and molecular biology2019

Genome-wide association study identified novel candidate loci affecting wood formation in Norway spruce.

John Baison, Amaryllis Vidalis, Linghua Zhou, Zhi-Qiang Chen, Zitong Li, Mikko J Sillanpää, Carolina Bernhardsson, Douglas Scofield, Nils Forsberg, Thomas Grahn and 7 more

Open access · hybridAbstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.1field-weighted citation impact, top 2% of its field
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

25 citing papers in PubMed, 71 citations in OpenAlex.

  1. Trial
  2. Genome-wide association studies in forestry.Molecular biology reports · 2025
    Review
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  4. Needle and Branch Trait Variation Analysis and Associated SNP Loci Mining inInternational journal of molecular sciences · 2024
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  5. Stone Pine (Genes · 2024
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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

17 authors at 8 institutions in 4 countries.

John BaisonDepartment of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Science, Parallellvägen 21, Umeå, 907 36, Sweden.ORCID 0000-0001-9919-907X
Amaryllis VidalisSection of Population Epigenetics and Epigenomics, Centre of Life and Food Sciences Weihenstephan, Technische Universität München, Lichtenbergstr. 2a, München, 85748, Germany.
Linghua ZhouDepartment of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Science, Parallellvägen 21, Umeå, 907 36, Sweden.
Zhi-Qiang ChenDepartment of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Science, Parallellvägen 21, Umeå, 907 36, Sweden.
Zitong LiEcological Genetics Research Unit, Department of Biosciences, University of Helsinki, P.O. Box 65, FI-00014, Helsinki, Finland.
Mikko J SillanpääDepartment of Mathematical Sciences, Biocenter Oulu, University of Oulu, Pentti Kaiteran katu 1, Oulu, Finland.
Carolina BernhardssonDepartment of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Science, Parallellvägen 21, Umeå, 907 36, Sweden.
Douglas ScofieldUppsala Multidisciplinary Centre for Advanced Computational Science, Uppsala University, Lägerhyddsvägen 2, Uppsala, 752 37, Sweden.
Nils ForsbergDepartment of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Science, Parallellvägen 21, Umeå, 907 36, Sweden.
Thomas GrahnRISE Bioeconomy, Drottning Kristinas väg 61, SE-114 86, Stockholm, Sweden.
Lars OlssonRISE Bioeconomy, Drottning Kristinas väg 61, SE-114 86, Stockholm, Sweden.
Bo KarlssonSkogforsk, Ekebo 2250, SE-268 90, Svalöv, Sweden.
Harry WuDepartment of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Science, Parallellvägen 21, Umeå, 907 36, Sweden.
Pär K IngvarssonDepartment of Ecology and Environmental Science, Umeå University, Linnaeus väg 4-6, Umeå, 907 36, Sweden.
Sven-Olof LundqvistRISE Bioeconomy, Drottning Kristinas väg 61, SE-114 86, Stockholm, Sweden.
Totte NiittyläDepartment of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Science, Parallellvägen 21, Umeå, 907 36, Sweden.
M Rosario García-GilDepartment of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Science, Parallellvägen 21, Umeå, 907 36, Sweden.
Umeå Plant Science Centre · SERISE Research Institutes of Sweden · SEInternational University of Business and Law · UAUppsala University · SEForestry Research Institute of Sweden · SETechnical University of Munich · DEUniversity of Helsinki · FIUniversity of Oulu · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Norway spruce is a boreal forest tree species of significant ecological and economic importance. Hence there is a strong imperative to dissect the genetics underlying important wood quality traits in the species. We performed a functional genome-wide association study (GWAS) of 17 wood traits in Norway spruce using 178 101 single nucleotide polymorphisms (SNPs) generated from exome genotyping of 517 mother trees. The wood traits were defined using functional modelling of wood properties across annual growth rings. We applied a Least Absolute Shrinkage and Selection Operator (LASSO-based) association mapping method using a functional multilocus mapping approach that utilizes latent traits, with a stability selection probability method as the hypothesis testing approach to determine a significant quantitative trait locus. The analysis provided 52 significant SNPs from 39 candidate genes, including genes previously implicated in wood formation and tree growth in spruce and other species. Our study represents a multilocus GWAS for complex wood traits in Norway spruce. The results advance our understanding of the genetics influencing wood traits and identifies candidate genes for future functional studies.

Indexed as

AlgorithmsGenes, PlantGenome-Wide Association StudyGenomicsGenotypeLinkage DisequilibriumNorwayPhenotypePiceaPolymorphism, Single NucleotideQuantitative Trait LociWoodcandidate genesfunctional trait mappinggenome-wide association mappingNorway sprucesequence capturesingle nucleotide polymorphisms

Identifiers

PMID31166032
PMCPMC6852177
OpenAlexW2950054476

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.