| The probability of evolutionary rescue: towards a quantitative comparison between theory and evolution experiments. | |
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MedLine Citation:
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PMID: 23209169 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Evolutionary rescue occurs when a population genetically adapts to a new stressful environment that would otherwise cause its extinction. Forecasting the probability of persistence under stress, including emergence of drug resistance as a special case of interest, requires experimentally validated quantitative predictions. Here, we propose general analytical predictions, based on diffusion approximations, for the probability of evolutionary rescue. We assume a narrow genetic basis for adaptation to stress, as is often the case for drug resistance. First, we extend the rescue model of Orr & Unckless (Am. Nat. 2008 172, 160-169) to a broader demographic and genetic context, allowing the model to apply to empirical systems with variation among mutation effects on demography, overlapping generations and bottlenecks, all common features of microbial populations. Second, we confront our predictions of rescue probability with two datasets from experiments with Saccharomyces cerevisiae (yeast) and Pseudomonas fluorescens (bacterium). The tests show the qualitative agreement between the model and observed patterns, and illustrate how biologically relevant quantities, such as the per capita rate of rescue, can be estimated from fits of empirical data. Finally, we use the results of the model to suggest further, more quantitative, tests of evolutionary rescue theory. |
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Authors:
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Guillaume Martin; Robin Aguilée; Johan Ramsayer; Oliver Kaltz; Ophélie Ronce |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Philosophical transactions of the Royal Society of London. Series B, Biological sciences Volume: 368 ISSN: 1471-2970 ISO Abbreviation: Philos. Trans. R. Soc. Lond., B, Biol. Sci. Publication Date: 2013 Jan |
Date Detail:
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Created Date: 2012-12-04 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7503623 Medline TA: Philos Trans R Soc Lond B Biol Sci Country: England |
Other Details:
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Languages: eng Pagination: 20120088 Citation Subset: IM |
Affiliation:
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Université Montpellier 2, , CC 065, Place Eugène Bataillon, 34095 Montpellier Cedex 05, France. |
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