Evidence map›Paper›PMID 19543758›Full record

ArticleFunctional & integrative genomics2009

Phytoremediation and phytosensing of chemical contaminants, RDX and TNT: identification of the required target genes.

Murali R Rao, Matthew D Halfhill, Laura G Abercrombie, Priya Ranjan, Jason M Abercrombie, Julia S Gouffon, Arnold M Saxton, C Neal Stewart

Abstract read
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In one paragraph

Article in Functional & integrative genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Concentration-dependent RDX uptake and remediation by crop plants.Environmental science and pollution research international · 2011
    Article
  5. 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

8 authors at 2 institutions in 1 country.

Murali R RaoDepartment of Plant Sciences, University of Tennessee, Knoxville, TN 37996-4561, USA.
Matthew D Halfhill
Laura G Abercrombie
Priya Ranjan
Jason M Abercrombie
Julia S Gouffon
Arnold M Saxton
C Neal Stewart
University of Tennessee at Knoxville · USSaint Ambrose University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High explosives such as hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX), and 2,4,6-trinitrotoluene (TNT) are important contaminants in the environment and phytoremediation has been viewed as a cost-effective abatement. There remains, however, an insufficient knowledge-base about how plants respond to explosives, especially in the steady state. Microarray analysis was conducted on Arabidopsis thaliana that were grown in Murashige and Skoog media containing steady-state levels of 0.5 mM RDX or 2.0 microM TNT to study the effect of these compounds on its transcriptional profile. Our results for both RDX and TNT were consistent with the existing theory for xenobiotic metabolism in plants. Among the genes that were differentially expressed included oxidoreductases, cytochrome P450s, transferases, transporters, and several unknown expressed proteins. We discuss the potential role of upregulated genes in plant metabolism, phytoremediation, and phytosensing. Phytosensing, the detection of field contamination using plants, is an end goal of this project.

Indexed as

ArabidopsisBiodegradation, EnvironmentalExplosive AgentsGene Expression ProfilingGene Expression Regulation, PlantHumansMeta-Analysis as TopicMicroarray AnalysisMolecular Sequence DataTriazinesTrinitrotoluenecycloniteExplosive AgentsTriazinesTrinitrotoluene

Identifiers

PMID19543758
OpenAlexW2010263439

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.