| Models of experimental evolution: the role of genetic chance and selective necessity. | |
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MedLine Citation:
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PMID: 11063715 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We present a theoretical framework within which to analyze the results of experimental evolution. Rapidly evolving organisms such as viruses, bacteria, and protozoa can be induced to adapt to laboratory conditions on very short human time scales. Artificial adaptive radiation is characterized by a list of common observations; we offer a framework in which many of these repeated questions and patterns can be characterized analytically. We allow for stochasticity by including rare mutations and bottleneck effects, demonstrating how these increase variability in the evolutionary trajectory. When the product Np, the population size times the per locus error rate, is small, the rate of evolution is limited by the chance occurrence of beneficial mutations; when Np is large and selective pressure is strong, the rate-limiting step is the waiting time while existing beneficial mutations sweep through the population. We derive the rate of divergence (substitution rate) and rate of fitness increase for the case when Np is large and illustrate our approach with an application to an experimental data set. A minimal assumption of independent additive fitness contributions provides a good fit to the experimental evolution of the bacteriophage phiX174. |
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Authors:
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L M Wahl; D C Krakauer |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Genetics Volume: 156 ISSN: 0016-6731 ISO Abbreviation: Genetics Publication Date: 2000 Nov |
Date Detail:
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Created Date: 2000-11-21 Completed Date: 2001-01-04 Revised Date: 2010-09-14 |
Medline Journal Info:
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Nlm Unique ID: 0374636 Medline TA: Genetics Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 1437-48 Citation Subset: IM |
Affiliation:
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Institute for Advanced Study, Princeton, New Jersey 08540, USA. lmw@scratchy.dhis.org |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Animals Bacteria / genetics Directed Molecular Evolution* Eukaryota / genetics Evolution* Models, Genetic* Models, Statistical* Mutation Stochastic Processes Viruses / genetics |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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