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  The evolutionary emergence of stochastic phenotype switching in bacteria

Rainey, P. B., Beaumont, H. J. E., Ferguson, G. C., Gallie, J., Kost, C., Libby, E., et al. (2011). The evolutionary emergence of stochastic phenotype switching in bacteria. Microbial Cell Factories, 10(1): S14. doi:10.1186/1475-2859-10-S1-S14.

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http://dx.doi.org/10.1186/1475-2859-10-S1-S14 (Publisher version)
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Rainey, Paul B, Author
Beaumont, Hubertus J E, Author
Ferguson, Gayle C, Author
Gallie, Jenna, Author
Kost, Christian1, Author           
Libby, Eric, Author
Zhang, Xue-Xian, Author
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1Research Group Dr. C. Kost, Experimental Ecology and Evolution, Department of Bioorganic Chemistry, Prof. Dr. W. Boland, MPI for Chemical Ecology, Max Planck Society, ou_421906              

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 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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 Dates: 20112011
 Publication Status: Issued
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 Identifiers: Other: KOS014
DOI: 10.1186/1475-2859-10-S1-S14
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Title: Microbial Cell Factories
Source Genre: Journal
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Publ. Info: BioMed Central
Pages: - Volume / Issue: 10 (1) Sequence Number: S14 Start / End Page: - Identifier: ISSN: 1475-2859
CoNE: https://pure.mpg.de/cone/journals/resource/111041294029026