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Rapid evolution of silver nanoparticle resistance in Escherichia coli

Overview of attention for article published in Frontiers in Genetics, February 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
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30 X users
facebook
7 Facebook pages

Citations

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228 Dimensions

Readers on

mendeley
294 Mendeley
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1 CiteULike
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Title
Rapid evolution of silver nanoparticle resistance in Escherichia coli
Published in
Frontiers in Genetics, February 2015
DOI 10.3389/fgene.2015.00042
Pubmed ID
Authors

Joseph L. Graves, Mehrdad Tajkarimi, Quincy Cunningham, Adero Campbell, Herve Nonga, Scott H. Harrison, Jeffrey E. Barrick

Abstract

The recent exponential increase in the use of engineered nanoparticles (eNPs) means both greater intentional and unintentional exposure of eNPs to microbes. Intentional use includes the use of eNPs as biocides. Unintentional exposure results from the fact that eNPs are included in a variety of commercial products (paints, sunscreens, cosmetics). Many of these eNPs are composed of heavy metals or metal oxides such as silver, gold, zinc, titanium dioxide, and zinc oxide. It is thought that since metallic/metallic oxide NPs impact so many aspects of bacterial physiology that it will difficult for bacteria to evolve resistance to them. This study utilized laboratory experimental evolution to evolve silver nanoparticle (AgNP) resistance in the bacterium Escherichia coli (K-12 MG1655), a bacterium that does not harbor any known silver resistance elements. After 225 generations of exposure to the AgNP environment, the treatment populations demonstrated greater fitness vs. control strains as measured by optical density (OD) and colony forming units (CFU) in the presence of varying concentrations of 10 nm citrate-coated silver nanoparticles (AgNP) or silver nitrate (AgNO3). Genomic analysis shows that changes associated with AgNP resistance were already accumulating within the treatment populations by generation 100, and by generation 200 three mutations had swept to high frequency in the AgNP resistance stocks. This study indicates that despite previous claims to the contrary bacteria can easily evolve resistance to AgNPs, and this occurs by relatively simple genomic changes. These results indicate that care should be taken with regards to the use of eNPs as biocides as well as with regards to unintentional exposure of microbial communities to eNPs in waste products.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 294 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Mexico 2 <1%
Sweden 1 <1%
Slovenia 1 <1%
Belgium 1 <1%
Poland 1 <1%
Unknown 286 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 24%
Researcher 38 13%
Student > Bachelor 36 12%
Student > Master 35 12%
Student > Doctoral Student 18 6%
Other 34 12%
Unknown 61 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 18%
Biochemistry, Genetics and Molecular Biology 34 12%
Chemistry 27 9%
Immunology and Microbiology 19 6%
Engineering 17 6%
Other 65 22%
Unknown 80 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 19 November 2022.
All research outputs
#1,312,885
of 26,435,181 outputs
Outputs from Frontiers in Genetics
#228
of 13,974 outputs
Outputs of similar age
#15,440
of 269,231 outputs
Outputs of similar age from Frontiers in Genetics
#6
of 151 outputs
Altmetric has tracked 26,435,181 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,974 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 98% 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 269,231 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.