Evidence map›Paper›PMID 14681533›Full record

ArticlePlant physiology2003

Photosynthetic acclimation is reflected in specific patterns of gene expression in drought-stressed loblolly pine.

Jonathan I Watkinson, Allan A Sioson, Cecilia Vasquez-Robinet, Maulik Shukla, Deept Kumar, Margaret Ellis, Lenwood S Heath, Naren Ramakrishnan, Boris Chevone, Layne T Watson and 4 more

Abstract read
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Article in Plant physiology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

39 citing papers in PubMed.

  1. Abiotic stress responses in plants.Nature reviews. Genetics · 2022
    Review
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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

14 authors.

Jonathan I WatkinsonDepartment of Plant Pathology, Virginia Tech, Blacksburg, Virginia 24061, USA.
Allan A Sioson
Cecilia Vasquez-Robinet
Maulik Shukla
Deept Kumar
Margaret Ellis
Lenwood S Heath
Naren Ramakrishnan
Boris Chevone
Layne T Watson
Leonel van Zyl
Ulrika Egertsdotter
Ronald R Sederoff
Ruth Grene

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because the product of a single gene can influence many aspects of plant growth and development, it is necessary to understand how gene products act in concert and upon each other to effect adaptive changes to stressful conditions. We conducted experiments to improve our understanding of the responses of loblolly pine (Pinus taeda) to drought stress. Water was withheld from rooted plantlets of to a measured water potential of -1 MPa for mild stress and -1.5 MPa for severe stress. Net photosynthesis was measured for each level of stress. RNA was isolated from needles and used in hybridizations against a microarray consisting of 2173 cDNA clones from five pine expressed sequence tag libraries. Gene expression was estimated using a two-stage mixed linear model. Subsequently, data mining via inductive logic programming identified rules (relationships) among gene expression, treatments, and functional categories. Changes in RNA transcript profiles of loblolly pine due to drought stress were correlated with physiological data reflecting photosynthetic acclimation to mild stress or photosynthetic failure during severe stress. Analysis of transcript profiles indicated that there are distinct patterns of expression related to the two levels of stress. Genes encoding heat shock proteins, late embryogenic-abundant proteins, enzymes from the aromatic acid and flavonoid biosynthetic pathways, and from carbon metabolism showed distinctive responses associated with acclimation. Five genes shown to have different transcript levels in response to either mild or severe stress were chosen for further analysis using real-time polymerase chain reaction. The real-time polymerase chain reaction results were in good agreement with those obtained on microarrays.

Indexed as

DisastersAcclimatizationComputational BiologyGene Expression Regulation, PlantHeat-Shock ProteinsPhotosynthesisPinus taedaPlant ProteinsRNA, PlantHeat-Shock ProteinsPlant ProteinsRNA, Plant

Identifiers

PMID14681533
PMCPMC300725

What OpenQuestion holds

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Registered trials

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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.