Evidence map›Paper›PMID 21732077›Full record

ArticleMolecular biotechnology2012

Differential expression of the transcripts of Spartina alterniflora Loisel (smooth cordgrass) induced in response to petroleum hydrocarbon.

Mangu Venkata RamanaRao, David Weindorf, Gary Breitenbeck, Niranjan Baisakh

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Mangu Venkata RamanaRaoSchool of Plant, Environmental, and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA.
David Weindorf
Gary Breitenbeck
Niranjan Baisakh
Louisiana State University Agricultural Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Petroleum hydrocarbons (PHC) in soil are potentially toxic to plants and exert negative effect on the environment and human health. To understand the effect of PHC on the gene expression profile of a wetland plant Spartina alterniflora in the coastal Louisiana, plants were subject up to 40% PHC under greenhouse conditions. The plants exposed to PHC showed 21% reduction of leaf total chlorophyll after 2 weeks of stress. Using 20 annealing control primers, 28 differentially expressing genes (DEGs) were identified in leaf and root tissues of S. alterniflora in response to PHC stress. Eleven of these 28 DEGs had role in either molecular function (chlorophyll a-b binding protein, HSP70, NADH, RAN1-binding protein, and RNA-binding protein), biological processes (cell wall protein, nucelosome/chromatin assembly factor) or cellular function (30 S ribosomal protein). This indicated that genes in different regulatory pathways of S. alterniflora were involved in response to PHC. All DEGs showed reduced transcript accumulation in root under oil stress, whereas they showed up- or down-regulation in their transcript abundance in leaf depending on the concentration of the PHC. The genes identified through this study could be used in the genetic screen of S. alterniflora for resistance to PHC.

Indexed as

Gene Expression ProfilingDNA PrimersGene Expression Regulation, PlantGenes, PlantHydrocarbonsPetroleumPlant LeavesPlant RootsPoaceaeReverse Transcriptase Polymerase Chain ReactionRNA, MessengerStress, PhysiologicalDNA PrimersHydrocarbonsPetroleumRNA, Messenger

Identifiers

PMID21732077
OpenAlexW2029859190

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.