Evidence map›Paper›PMID 26619072›Full record

ArticleThe New phytologist2016

Genetic architecture of wood properties based on association analysis and co-expression networks in white spruce.

Mebarek Lamara, Elie Raherison, Patrick Lenz, Jean Beaulieu, Jean Bousquet, John MacKay

Abstract read
In one paragraph

Article in The New phytologist, 2016. 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
–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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Genome-wide association studies in forestry.Molecular biology reports · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
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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

6 authors.

Mebarek LamaraForest Research Centre, and Institute for System and Integrative Biology, Université Laval, Québec, QC, G1V 0A6, Canada.
Elie RaherisonForest Research Centre, and Institute for System and Integrative Biology, Université Laval, Québec, QC, G1V 0A6, Canada.
Patrick LenzForest Research Centre, and Institute for System and Integrative Biology, Université Laval, Québec, QC, G1V 0A6, Canada.
Jean BeaulieuForest Research Centre, and Institute for System and Integrative Biology, Université Laval, Québec, QC, G1V 0A6, Canada.
Jean BousquetForest Research Centre, and Institute for System and Integrative Biology, Université Laval, Québec, QC, G1V 0A6, Canada.
John MacKayForest Research Centre, and Institute for System and Integrative Biology, Université Laval, Québec, QC, G1V 0A6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Association studies are widely utilized to analyze complex traits but their ability to disclose genetic architectures is often limited by statistical constraints, and functional insights are usually minimal in nonmodel organisms like forest trees. We developed an approach to integrate association mapping results with co-expression networks. We tested single nucleotide polymorphisms (SNPs) in 2652 candidate genes for statistical associations with wood density, stiffness, microfibril angle and ring width in a population of 1694 white spruce trees (Picea glauca). Associations mapping identified 229-292 genes per wood trait using a statistical significance level of P < 0.05 to maximize discovery. Over-representation of genes associated for nearly all traits was found in a xylem preferential co-expression group developed in independent experiments. A xylem co-expression network was reconstructed with 180 wood associated genes and several known MYB and NAC regulators were identified as network hubs. The network revealed a link between the gene PgNAC8, wood stiffness and microfibril angle, as well as considerable within-season variation for both genetic control of wood traits and gene expression. Trait associations were distributed throughout the network suggesting complex interactions and pleiotropic effects. Our findings indicate that integration of association mapping and co-expression networks enhances our understanding of complex wood traits.

Indexed as

Gene Regulatory NetworksGenetic Association StudiesGene Expression ProfilingGene Expression Regulation, PlantGene OntologyGenes, PlantMolecular Sequence AnnotationPhenotypePiceaPolymorphism, Single NucleotideProtein DomainsQuantitative Trait, HeritableWoodXylemassociation geneticsco-expression networkquantitative geneticswhite spruce (Picea glauca)wood traits

Identifiers

PMID26619072
PMCPMC5063130

What OpenQuestion holds

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LicenceCC BY
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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.