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The evolutionary emergence of stochastic phenotype switching in bacteria

Overview of attention for article published in Microbial Cell Factories, August 2011
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Title
The evolutionary emergence of stochastic phenotype switching in bacteria
Published in
Microbial Cell Factories, August 2011
DOI 10.1186/1475-2859-10-s1-s14
Pubmed ID
Authors

Paul B Rainey, Hubertus JE Beaumont, Gayle C Ferguson, Jenna Gallie, Christian Kost, Eric Libby, Xue-Xian Zhang

Abstract

Stochastic phenotype switching - or bet hedging - is a pervasive feature of living systems and common in bacteria that experience fluctuating (unpredictable) environmental conditions. Under such conditions, the capacity to generate variable offspring spreads the risk of being maladapted in the present environment, against offspring likely to have some chance of survival in the future. While a rich subject for theoretical studies, little is known about the selective causes responsible for the evolutionary emergence of stochastic phenotype switching. Here we review recent work - both theoretical and experimental - that sheds light on ecological factors that favour switching types over non-switching types. Of particular relevance is an experiment that provided evidence for an adaptive origin of stochastic phenotype switching by subjecting bacterial populations to a selective regime that mimicked essential features of the host immune response. Central to the emergence of switching types was frequent imposition of 'exclusion rules' and 'population bottlenecks' - two complementary faces of frequency dependent selection. While features of the immune response, exclusion rules and bottlenecks are likely to operate in many natural environments. Together these factors define a set of selective conditions relevant to the evolution of stochastic switching, including antigenic variation and bacterial persistence.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 2 <1%
Belgium 2 <1%
Brazil 1 <1%
France 1 <1%
Mexico 1 <1%
Germany 1 <1%
Estonia 1 <1%
Slovenia 1 <1%
Other 0 0%
Unknown 191 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 25%
Researcher 44 21%
Student > Master 33 16%
Student > Bachelor 18 9%
Professor 11 5%
Other 31 15%
Unknown 17 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 108 53%
Biochemistry, Genetics and Molecular Biology 27 13%
Physics and Astronomy 8 4%
Immunology and Microbiology 6 3%
Medicine and Dentistry 6 3%
Other 28 14%
Unknown 22 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2013.
All research outputs
#15,168,167
of 25,371,288 outputs
Outputs from Microbial Cell Factories
#949
of 1,822 outputs
Outputs of similar age
#87,604
of 135,473 outputs
Outputs of similar age from Microbial Cell Factories
#24
of 29 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,822 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 135,473 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.