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Potential impacts of aquatic pollutants: sub-clinical antibiotic concentrations induce genome changes and promote antibiotic resistance

Overview of attention for article published in Frontiers in Microbiology, August 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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2 news outlets
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10 X users

Citations

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66 Dimensions

Readers on

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130 Mendeley
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Title
Potential impacts of aquatic pollutants: sub-clinical antibiotic concentrations induce genome changes and promote antibiotic resistance
Published in
Frontiers in Microbiology, August 2015
DOI 10.3389/fmicb.2015.00803
Pubmed ID
Authors

Louise Chow, Liette Waldron, Michael R. Gillings

Abstract

Antibiotics are disseminated into aquatic environments via human waste streams and agricultural run-off. Here they can persist at low, but biologically relevant, concentrations. Antibiotic pollution establishes a selection gradient for resistance and may also raise the frequency of events that generate resistance: point mutations; recombination; and lateral gene transfer. This study examined the response of bacteria to sub-inhibitory levels of antibiotics. Pseudomonas aeruginosa and Pseudomonas protegens were exposed kanamycin, tetracycline or ciprofloxacin at 1/10 the minimal inhibitory concentration (MIC) in a serial streaking experiment over 40 passages. Significant changes in rep-PCR fingerprints were noted in both species when exposed to sub-inhibitory antibiotic concentrations. These changes were observed in as few as five passages, despite the fact that the protocols used sample less than 0.3% of the genome, in turn suggesting much more widespread alterations to sequence and genome architecture. Experimental lines also displayed variant colony morphologies. The final MICs were significantly higher in some experimental lineages of P. protegens, suggesting that 1/10 the MIC induces de-novo mutation events that generate resistance phenotypes. The implications of these results are clear: exposure of the environmental microbiome to antibiotic pollution will induce similar changes, including generating newly resistant species that may be of significant concern for human health.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Portugal 1 <1%
Estonia 1 <1%
Switzerland 1 <1%
Unknown 126 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 18%
Student > Ph. D. Student 20 15%
Student > Bachelor 20 15%
Researcher 17 13%
Student > Doctoral Student 7 5%
Other 18 14%
Unknown 25 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 32%
Biochemistry, Genetics and Molecular Biology 18 14%
Environmental Science 13 10%
Immunology and Microbiology 7 5%
Engineering 7 5%
Other 17 13%
Unknown 27 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 25 September 2019.
All research outputs
#1,536,988
of 24,307,517 outputs
Outputs from Frontiers in Microbiology
#938
of 27,482 outputs
Outputs of similar age
#20,087
of 268,623 outputs
Outputs of similar age from Frontiers in Microbiology
#13
of 357 outputs
Altmetric has tracked 24,307,517 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,482 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 96% 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 268,623 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 92% of its contemporaries.
We're also able to compare this research output to 357 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.