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The onion model, a simple neutral model for the evolution of diversity in bacterial biofilms

Overview of attention for article published in Journal of Evolutionary Biology, September 2011
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Article details
Title
The onion model, a simple neutral model for the evolution of diversity in bacterial biofilms
Published in
Journal of Evolutionary Biology, September 2011
DOI 10.1111/j.1420-9101.2011.02377.x
Pubmed ID
Authors
Abstract

Bacterial biofilms are particularly resistant to a wide variety of antimicrobial compounds. Their persistence in the face of antibiotic therapies causes significant problems in the treatment of infectious diseases. Seldom have evolutionary processes like genetic drift and mutation been invoked to explain how resistance to antibiotics emerges in biofilms, and we lack a simple and tractable model for the genetic and phenotypic diversification that occurs in bacterial biofilms. Here, we introduce the 'onion model', a simple neutral evolutionary model for phenotypic diversification in biofilms. We explore its properties and show that the model produces patterns of diversity that are qualitatively similar to observed patterns of phenotypic diversity in biofilms. We suggest that models like our onion model, which explicitly invoke evolutionary process, are key to understanding biofilm resistance to bactericidal and bacteriostatic agents. Elevated phenotypic variance provides an insurance effect that increases the likelihood that some proportion of the population will be resistant to imposed selective agents and may thus enhance persistence of the biofilm. Accounting for evolutionary change in biofilms will improve our ability to understand and counter diseases that are caused by biofilm persistence.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 3%
Mexico 1 2%
France 1 2%
Finland 1 2%
Chile 1 2%
Switzerland 1 2%
Unknown 52 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 14 24%
Student > Ph. D. Student 11 19%
Student > Master 6 10%
Professor > Associate Professor 6 10%
Student > Doctoral Student 5 8%
Other 12 20%
Unknown 5 8%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 33 56%
Biochemistry, Genetics and Molecular Biology 7 12%
Medicine and Dentistry 5 8%
Environmental Science 3 5%
Immunology and Microbiology 2 3%
Other 4 7%
Unknown 5 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2011.
All research outputs
#20,284,994
of 24,940,046 outputs
Outputs from Journal of Evolutionary Biology
#2,582
of 2,888 outputs
Outputs of similar age
#113,407
of 135,087 outputs
Outputs of similar age from Journal of Evolutionary Biology
#14
of 20 outputs
Altmetric has tracked 24,940,046 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,888 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.