Evidence map›Paper›PMID 24324815›Full record

ArticlePloS one2013

RNA-Seq transcriptome profiling of upland cotton (Gossypium hirsutum L.) root tissue under water-deficit stress.

Megan J Bowman, Wonkeun Park, Philip J Bauer, Joshua A Udall, Justin T Page, Joshua Raney, Brian E Scheffler, Don C Jones, B Todd Campbell

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  18. Genome-Wide Expression Profiles of Hemp (International journal of genomics · 2018
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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

9 authors.

Megan J BowmanUSDA-ARS, Coastal Plains Soil, Water and Plant Research Center, Florence, South Carolina, United States of America.
Wonkeun Park
Philip J Bauer
Joshua A Udall
Justin T Page
Joshua Raney
Brian E Scheffler
Don C Jones
B Todd Campbell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An RNA-Seq experiment was performed using field grown well-watered and naturally rain fed cotton plants to identify differentially expressed transcripts under water-deficit stress. Our work constitutes the first application of the newly published diploid D5 Gossypium raimondii sequence in the study of tetraploid AD1 upland cotton RNA-seq transcriptome analysis. A total of 1,530 transcripts were differentially expressed between well-watered and water-deficit stressed root tissues, in patterns that confirm the accuracy of this technique for future studies in cotton genomics. Additionally, putative sequence based genome localization of differentially expressed transcripts detected A2 genome specific gene expression under water-deficit stress. These data will facilitate efforts to understand the complex responses governing transcriptomic regulatory mechanisms and to identify candidate genes that may benefit applied plant breeding programs.

Indexed as

DroughtsTranscriptomeAdaptation, BiologicalCluster AnalysisGene Expression ProfilingGene Expression Regulation, PlantGene Regulatory NetworksGossypiumMetabolic Networks and PathwaysMolecular Sequence AnnotationPlant RootsSequence Analysis, RNAStress, Physiological

Identifiers

PMID24324815
PMCPMC3855774

What OpenQuestion holds

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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.