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Evolutionary diversification of Pseudomonas aeruginosa in an artificial sputum model

Overview of attention for article published in BMC Microbiology, January 2017
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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1 blog
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14 X users
facebook
1 Facebook page

Citations

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34 Dimensions

Readers on

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103 Mendeley
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2 CiteULike
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Title
Evolutionary diversification of Pseudomonas aeruginosa in an artificial sputum model
Published in
BMC Microbiology, January 2017
DOI 10.1186/s12866-016-0916-z
Pubmed ID
Authors

Emily V. Davies, Chloe E. James, Michael A. Brockhurst, Craig Winstanley

Abstract

During chronic lung infections of cystic fibrosis patients Pseudomonas aeruginosa populations undergo extensive evolutionary diversification. However, the selective drivers of this evolutionary process are poorly understood. To test the effects of temperate phages on diversification in P. aeruginosa biofilms we experimentally evolved populations of P. aeruginosa for approximately 240 generations in artificial sputum medium with or without a community of three temperate phages. Analysis of end-point populations using a suite of phenotypic tests revealed extensive phenotypic diversification within populations, but no significant differences between the populations evolved with or without phages. The most common phenotypic variant observed was loss of all three types of motility (swimming, swarming and twitching) and resistance to all three phages. Despite the absence of selective pressure, some members of the population evolved antibiotic resistance. The frequency of antibiotic resistant isolates varied according to population and the antibiotic tested. However, resistance to ceftazidime and tazobactam-piperacillin was observed more frequently than resistance to other antibiotics, and was associated with higher prevelence of isolates exhibiting a hypermutable phenotype and increased beta-lactamase production. We observed considerable within-population phenotypic diversity in P. aeruginosa populations evolving in the artificial sputum medium biofilm model. Replicate populations evolved both in the presence and absence of phages converged upon similar sets of phenotypes. The evolved phenotypes, including antimicrobial resistance, were similar to those observed amongst clinical isolates from cystic fibrosis infections.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Canada 1 <1%
Unknown 101 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 17%
Student > Master 16 16%
Student > Bachelor 13 13%
Student > Ph. D. Student 13 13%
Student > Postgraduate 5 5%
Other 15 15%
Unknown 24 23%
Readers by discipline Count As %
Immunology and Microbiology 19 18%
Biochemistry, Genetics and Molecular Biology 16 16%
Agricultural and Biological Sciences 16 16%
Medicine and Dentistry 8 8%
Chemistry 3 3%
Other 13 13%
Unknown 28 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 01 December 2017.
All research outputs
#2,318,581
of 24,649,404 outputs
Outputs from BMC Microbiology
#150
of 3,392 outputs
Outputs of similar age
#46,712
of 430,511 outputs
Outputs of similar age from BMC Microbiology
#3
of 39 outputs
Altmetric has tracked 24,649,404 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,392 research outputs from this source. They receive a mean Attention Score of 4.2. 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 430,511 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 39 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.