Evidence map›Paper›PMID 19328673›Full record

ReviewCurrent opinion in biotechnology2009

Genetic engineering to enhance mercury phytoremediation.

Oscar N Ruiz, Henry Daniell

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 137 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. In situ remediation technologies for mercury-contaminated soil.Environmental science and pollution research international · 2015
    Review
  14. Review
  15. Article
  16. Pollution due to hazardous glass waste.Environmental science and pollution research international · 2014
    Review
  17. Article
  18. Article
  19. 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

2 authors at 2 institutions in 2 countries.

Oscar N RuizDepartment of Natural Sciences, Inter American University of Puerto Rico, Bayamon, PR 00957-6257, USA.
Henry Daniell
Florida College · USInterAmerican University of Puerto Rico · PR

Funding

Expression of Human Therapeutic Proteins in Transgenic Tobacco ChloroplastsR01GM063879 · NIGMS · UNIVERSITY OF CENTRAL FLORIDA · PI DANIELL, HENRY · 2002 to 2010
$2.0M
NIGMS NIH HHS R01 GM063879NIGMS NIH HHS R01 GM 63879
6 · The paper itself

Abstract

Most phytoremediation studies utilize merA or merB genes to modify plants via the nuclear or chloroplast genome, expressing organomercurial lyase and/or mercuric ion reductase in the cytoplasm, endoplasmic reticulum or within plastids. Several plant species including Arabidopsis, tobacco, poplar, rice, Eastern cottonwood, peanut, salt marsh grass and Chlorella have been transformed with these genes. Transgenic plants grew exceedingly well in soil contaminated with organic (approximately 400 microM PMA) or inorganic mercury (approximately 500 microM HgCl(2)), accumulating Hg in roots surpassing the concentration in soil (approximately 2000 microg/g). However, none of these plants were tested in the field to demonstrate real potential of this approach. Availability of metal transporters, translocators, chelators and the ability to express membrane proteins could further enhance mercury phytoremediation capabilities.

Indexed as

Biodegradation, EnvironmentalGenetic EngineeringMercuryPlants, Genetically ModifiedMercury

Identifiers

PMID19328673
PMCPMC2692567
OpenAlexW2000430139

What OpenQuestion holds

Textmetadata
LicenceTDM
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.