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Epistasis analysis uncovers hidden antibiotic resistance-associated fitness costs hampering the evolution of MRSA

Overview of attention for article published in Genome Biology, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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Title
Epistasis analysis uncovers hidden antibiotic resistance-associated fitness costs hampering the evolution of MRSA
Published in
Genome Biology, July 2018
DOI 10.1186/s13059-018-1469-2
Pubmed ID
Authors

Maho Yokoyama, Emily Stevens, Maisem Laabei, Leann Bacon, Kate Heesom, Sion Bayliss, Nicola Ooi, Alex J. O’Neill, Ewan Murray, Paul Williams, Anneke Lubben, Shaun Reeksting, Guillaume Meric, Ben Pascoe, Samuel K. Sheppard, Mario Recker, Laurence D. Hurst, Ruth C. Massey

Abstract

Fitness costs imposed on bacteria by antibiotic resistance mechanisms are believed to hamper their dissemination. The scale of these costs is highly variable. Some, including resistance of Staphylococcus aureus to the clinically important antibiotic mupirocin, have been reported as being cost-free, which suggests that there are few barriers preventing their global spread. However, this is not supported by surveillance data in healthy communities, which indicate that this resistance mechanism is relatively unsuccessful. Epistasis analysis on two collections of MRSA provides an explanation for this discord, where the mupirocin resistance-conferring mutation of the ileS gene appears to affect the levels of toxins produced by S. aureus when combined with specific polymorphisms at other loci. Proteomic analysis demonstrates that the activity of the secretory apparatus of the PSM family of toxins is affected by mupirocin resistance. As an energetically costly activity, this reduction in toxicity masks the fitness costs associated with this resistance mutation, a cost that becomes apparent when toxin production becomes necessary. This hidden fitness cost provides a likely explanation for why this mupirocin-resistance mechanism is not more prevalent, given the widespread use of this antibiotic. With dwindling pools of antibiotics available for use, information on the fitness consequences of the acquisition of resistance may need to be considered when designing antibiotic prescribing policies. However, this study suggests there are levels of depth that we do not understand, and that holistic, surveillance and functional genomics approaches are required to gain this crucial information.

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X Demographics

The data shown below were collected from the profiles of 36 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Researcher 14 16%
Student > Master 13 14%
Student > Bachelor 6 7%
Professor > Associate Professor 4 4%
Other 11 12%
Unknown 23 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 18%
Immunology and Microbiology 14 16%
Agricultural and Biological Sciences 13 14%
Medicine and Dentistry 5 6%
Computer Science 4 4%
Other 9 10%
Unknown 29 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 13 July 2020.
All research outputs
#1,834,769
of 25,711,518 outputs
Outputs from Genome Biology
#1,518
of 4,505 outputs
Outputs of similar age
#36,806
of 341,479 outputs
Outputs of similar age from Genome Biology
#32
of 54 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 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 66% 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 341,479 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 54 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.