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Construction of a Modular Arsenic-Resistance Operon in E. coli and the Production of Arsenic Nanoparticles

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, October 2015
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Title
Construction of a Modular Arsenic-Resistance Operon in E. coli and the Production of Arsenic Nanoparticles
Published in
Frontiers in Bioengineering and Biotechnology, October 2015
DOI 10.3389/fbioe.2015.00160
Pubmed ID
Authors

Matthew Charles Edmundson, Louise Horsfall

Abstract

Arsenic is a widespread contaminant of both land and water around the world. Current methods of decontamination such as phytoremediation and chemical adsorbents can be resource and time intensive, and may not be suitable for some areas such as remote communities where cost and transportation are major issues. Bacterial decontamination, with strict controls preventing environmental release, may offer a cost-effective alternative or provide a financial incentive when used in combination with other remediation techniques. In this study, we have produced Escherichia coli strains containing arsenic-resistance genes from a number of sources, overexpressing them and testing their effects on arsenic resistance. While the lab E. coli strain JM109 (the "wild-type") is resistant up to 20 mM sodium arsenate, the strain containing our plasmid pEC20 is resistant up to 80 mM. When combined with our construct pArsRBCC arsenic--containing nanoparticles were observed at the cell surface; the elements of pEC20 and pArsRBCC were therefore combined in a modular construct, pArs, in order to evaluate the roles and synergistic effects of the components of the original plasmids in arsenic resistance and nanoparticle formation. We have also investigated introducing the lac operator in order to more tightly control expression from pArs. We demonstrate that our strains are able to reduce toxic forms of arsenic into stable, insoluble metallic As(0), providing one way to remove arsenate contamination, and which may also be of benefit for other heavy metals.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Bachelor 6 15%
Student > Master 6 15%
Student > Ph. D. Student 6 15%
Student > Doctoral Student 3 8%
Other 2 5%
Unknown 9 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 23%
Agricultural and Biological Sciences 9 23%
Environmental Science 2 5%
Immunology and Microbiology 2 5%
Engineering 2 5%
Other 5 13%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 October 2015.
All research outputs
#7,688,662
of 25,373,627 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,225
of 8,501 outputs
Outputs of similar age
#88,521
of 294,426 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#9
of 64 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,501 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 294,426 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.