Evidence map›Paper›PMID 16830224›Full record

ArticleTransgenic research2006

Generation of mercury-hyperaccumulating plants through transgenic expression of the bacterial mercury membrane transport protein MerC.

Yoshito Sasaki, Takahiko Hayakawa, Chihiro Inoue, Atsushi Miyazaki, Simon Silver, Tomonobu Kusano

Abstract read
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In one paragraph

Article in Transgenic research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
  2. Improving NiInternational journal of molecular sciences · 2024
    Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. In situ remediation technologies for mercury-contaminated soil.Environmental science and pollution research international · 2015
    Review
  11. Pollution due to hazardous glass waste.Environmental science and pollution research international · 2014
    Review
  12. Genetic engineering to enhance mercury phytoremediation.Current opinion in biotechnology · 2009
    Review
  13. Genetically modified plants and human health.Journal of the Royal Society of Medicine · 2008
    Review
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

6 authors at 3 institutions in 3 countries.

Yoshito SasakiGraduate School of Life Sciences, Tohoku University, Sendai 980-8577, Japan.
Takahiko Hayakawa
Chihiro Inoue
Atsushi Miyazaki
Simon Silver
Tomonobu Kusano
Tohoku University · JPPlantech (Brazil) · BRUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The merC gene from Acidithiobacillus ferrooxidans functions as a mercury uptake pump. MerC protein localizes in the cytoplasmic membrane of plant cells. When Arabidopsis thaliana and tobacco plants were transformed with the merC gene under the control of the Cauliflower mosaic virus 35S promoter, the resulting overexpression of merC rendered the host plants hypersensitive to Hg2+ and they accumulated approximately twice as much Hg2+ ion as the wild type plants. Thus, bacterial mercuric ion transporters such as MerC may be useful molecular tools for producing transgenic plants that hyperaccumulate Hg2+ ion.

Indexed as

Plants, Genetically ModifiedAmino Acid SequenceArabidopsisBacterial ProteinsBase SequenceBiodegradation, EnvironmentalCation Transport ProteinsMercuryMolecular Sequence DataNicotianaBacterial ProteinsCation Transport ProteinsmerC protein, Acidithiobacillus ferrooxidansMercury

Identifiers

PMID16830224
OpenAlexW1987925192

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.