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Dissemination of antibiotic resistance genes from antibiotic producers to pathogens

Overview of attention for article published in Nature Communications, June 2017
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
14 news outlets
blogs
5 blogs
twitter
113 X users
facebook
6 Facebook pages
googleplus
6 Google+ users

Citations

dimensions_citation
268 Dimensions

Readers on

mendeley
455 Mendeley
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Title
Dissemination of antibiotic resistance genes from antibiotic producers to pathogens
Published in
Nature Communications, June 2017
DOI 10.1038/ncomms15784
Pubmed ID
Authors

Xinglin Jiang, Mostafa M. Hashim Ellabaan, Pep Charusanti, Christian Munck, Kai Blin, Yaojun Tong, Tilmann Weber, Morten O. A. Sommer, Sang Yup Lee

Abstract

It has been hypothesized that some antibiotic resistance genes (ARGs) found in pathogenic bacteria derive from antibiotic-producing actinobacteria. Here we provide bioinformatic and experimental evidence supporting this hypothesis. We identify genes in proteobacteria, including some pathogens, that appear to be closely related to actinobacterial ARGs known to confer resistance against clinically important antibiotics. Furthermore, we identify two potential examples of recent horizontal transfer of actinobacterial ARGs to proteobacterial pathogens. Based on this bioinformatic evidence, we propose and experimentally test a 'carry-back' mechanism for the transfer, involving conjugative transfer of a carrier sequence from proteobacteria to actinobacteria, recombination of the carrier sequence with the actinobacterial ARG, followed by natural transformation of proteobacteria with the carrier-sandwiched ARG. Our results support the existence of ancient and, possibly, recent transfers of ARGs from antibiotic-producing actinobacteria to proteobacteria, and provide evidence for a defined mechanism.

X Demographics

X Demographics

The data shown below were collected from the profiles of 113 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 455 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Egypt 1 <1%
Unknown 453 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 105 23%
Researcher 63 14%
Student > Master 60 13%
Student > Bachelor 34 7%
Student > Doctoral Student 22 5%
Other 67 15%
Unknown 104 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 98 22%
Agricultural and Biological Sciences 88 19%
Immunology and Microbiology 43 9%
Environmental Science 29 6%
Medicine and Dentistry 13 3%
Other 60 13%
Unknown 124 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 198. 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 21 November 2021.
All research outputs
#202,692
of 25,711,518 outputs
Outputs from Nature Communications
#2,890
of 58,175 outputs
Outputs of similar age
#4,284
of 332,548 outputs
Outputs of similar age from Nature Communications
#60
of 1,094 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,175 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has done particularly well, scoring higher than 95% 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 332,548 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 98% of its contemporaries.
We're also able to compare this research output to 1,094 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 94% of its contemporaries.