Evidence map›Paper›PMID 39752431›Full record

ArticlePloS one2025

De novo transcriptome assembly and discovery of drought-responsive genes in white spruce (Picea glauca).

Zoé Ribeyre, Claire Depardieu, Julien Prunier, Gervais Pelletier, Geneviève J Parent, John Mackay, Arnaud Droit, Jean Bousquet, Philippe Nolet, Christian Messier

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Zoé RibeyreDépartement des Sciences Naturelles, Institut des Sciences de la Forêt Tempérée (ISFORT), Université du Québec en Outaouais (UQO), Ripon, Canada.ORCID 0000-0003-4162-0858
Claire DepardieuCanada Research Chair in Forest Genomics, Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada.
Julien PrunierPlateforme de Bioinformatique du Centre Hospitalier Universitaire de Québec Associé à l'Université Laval, Québec, QC, Canada.
Gervais PelletierNatural Resources Canada, Canadian Forest Service, Laurentian Forestry Center, Québec, QC, Canada.
Geneviève J ParentLaboratory of Genomics, Maurice- Lamontagne Institute, Fisheries and Oceans Canada, Mont-Joli, QC, Canada.ORCID 0000-0001-5946-334X
John MackayDepartment of Plant Sciences, University of Oxford, Oxford, United Kingdom.
Arnaud DroitPlateforme de Bioinformatique du Centre Hospitalier Universitaire de Québec Associé à l'Université Laval, Québec, QC, Canada.
Jean BousquetCanada Research Chair in Forest Genomics, Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada.
Philippe NoletDépartement des Sciences Naturelles, Institut des Sciences de la Forêt Tempérée (ISFORT), Université du Québec en Outaouais (UQO), Ripon, Canada.
Christian MessierDépartement des Sciences Naturelles, Institut des Sciences de la Forêt Tempérée (ISFORT), Université du Québec en Outaouais (UQO), Ripon, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forests face an escalating threat from the increasing frequency of extreme drought events driven by climate change. To address this challenge, it is crucial to understand how widely distributed species of economic or ecological importance may respond to drought stress. In this study, we examined the transcriptome of white spruce (Picea glauca (Moench) Voss) to identify key genes and metabolic pathways involved in the species' response to water stress. We assembled a de novo transcriptome, performed differential gene expression analyses at four time points over 22 days during a controlled drought stress experiment involving 2-year-old plants and three genetically distinct clones, and conducted gene enrichment analyses. The transcriptome assembly and gene expression analysis identified a total of 33,287 transcripts corresponding to 18,934 annotated unique genes, including 4,425 genes that are uniquely responsive to drought. Many transcripts that had predicted functions associated with photosynthesis, cell wall organization, and water transport were down-regulated under drought conditions, while transcripts linked to abscisic acid response and defense response were up-regulated. Our study highlights a previously uncharacterized effect of drought stress on lipid metabolism genes in conifers and significant changes in the expression of several transcription factors, suggesting a regulatory response potentially linked to drought response or acclimation. Our research represents a fundamental step in unraveling the molecular mechanisms underlying short-term drought responses in white spruce seedlings. In addition, it provides a valuable source of new genetic data that could contribute to genetic selection strategies aimed at enhancing the drought resistance and resilience of white spruce to changing climates.

Indexed as

DroughtsGene Expression Regulation, PlantPiceaTranscriptomeGene Expression ProfilingGenes, PlantPlant ProteinsStress, PhysiologicalPlant Proteins

Identifiers

PMID39752431
PMCPMC11698436

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.