Evidence map›Paper›PMID 34079574›Full record

ArticleFrontiers in plant science2021

Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce.

Justine Laoué, Claire Depardieu, Sébastien Gérardi, Manuel Lamothe, Claude Bomal, Aïda Azaiez, Marie-Claude Gros-Louis, Jérôme Laroche, Brian Boyle, Almuth Hammerbacher and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Justine LaouéCanada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada.
Claire DepardieuCanada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada.
Sébastien GérardiCanada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada.
Manuel LamotheNatural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, Canada.
Claude BomalNatural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, Canada.
Aïda AzaiezCanada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada.
Marie-Claude Gros-LouisNatural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, Canada.
Jérôme LarocheInstitute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada.
Brian BoyleInstitute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada.
Almuth HammerbacherDepartment of Zoology, Entomology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa.
Nathalie IsabelCanada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada.
Jean BousquetCanada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada.
Université Laval · CANatural Resources Canada · CACanadian Forest Service · CAUniversity of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conifer forests worldwide are becoming increasingly vulnerable to the effects of climate change. Although the production of phenolic compounds (PCs) has been shown to be modulated by biotic and abiotic stresses, the genetic basis underlying the variation in their constitutive production level remains poorly documented in conifers. We used QTL mapping and RNA-Seq to explore the complex polygenic network underlying the constitutive production of PCs in a white spruce (

Indexed as

conifersco-regulationmetabolitesphenolic compoundsPicea glaucaQTLRNA-Seq

Identifiers

PMID34079574
PMCPMC8166253
OpenAlexW3161255147

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.