Evidence map›Paper›PMID 12768425›Full record

ArticlePlanta2003

Seasonal variation in transcript accumulation in wood-forming tissues of maritime pine (Pinus pinaster Ait.) with emphasis on a cell wall glycine-rich protein.

Grégoire Le Provost, Jorge Paiva, David Pot, Jean Brach, Christophe Plomion

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Planta, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

5 authors.

Grégoire Le Provost1 UMR Biogeco 1202, INRA, Equipe de génétique, 69 route d'Arcachon, 33612 Cestas, Cédex, France.
Jorge Paiva
David Pot
Jean Brach
Christophe Plomion

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wood formation is being increasingly studied at cellular and biochemical levels; however, gene expression and regulation during wood formation remain poorly understood. Up to six types of wood can be studied within the same tree (early wood, late wood, juvenile wood, mature wood, reaction wood and opposite wood). These six types are characterized by different chemical, physical and anatomical properties. Using the cDNA-amplified fragment length polymorphism (AFLP) technique, we screened several thousand cDNA fragments from differentiating xylem of maritime pine (Pinus pinaster Ait.) comparing early wood vs. late wood and compression wood vs. opposite wood after 8 or 120 days of bending. About 100 transcript-derived fragments (TDFs) showed qualitative or quantitative variations between these different samples. The relative abundance of these TDFs was subsequently analyzed by reverse Northern using RNA derived from early and late wood. Analysis of variance (ANOVA) was used to identify differentially expressed TDFs ( P<0.01) and reverse transcription-polymerase chain reaction to confirm the differential expression of some TDFs. Among the genes with a known function, transcript expression and nucleotide sequence variation analysis showed a cell wall glycine-rich protein to be a strong candidate gene for wood properties.

Indexed as

SeasonsBlotting, NorthernCell WallDNA, ComplementaryGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGlyceraldehyde 3-Phosphate Dehydrogenase (NADP+)GlycineHeat-Shock ProteinsMolecular WeightPinusPlant ProteinsPolymorphism, Restriction Fragment LengthReverse Transcriptase Polymerase Chain ReactionTranscription, GeneticDNA, ComplementaryGlyceraldehyde 3-Phosphate Dehydrogenase (NADP+)GlycineHeat-Shock ProteinsPlant Proteins

Identifiers

What OpenQuestion holds

Textmetadata
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.