This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1111/evo.12116 New model systems for experimental evolution Sinéad Collins Experimental evolution is a powerful method for understanding general processes and estimating key parameters in evolution, such as mutation rates and the fitness distributions of those mutations (Ness et al. 2012), mechanisms of adaptive radiation(McDonald et al. 2009), and determinants of extinction rates. The success of experimental evolution is due largely to a standard set of techniques (Collins 2011) applied to a small but well‐behaved set of model organisms. These model organisms (e.g., E.coli, Pseudomonas sp, Chlamydomonas, Saccharomyces, Drosophila) are easy to grow, store, revive, and manipulate genetically and physiologically, and they have characterized variants that are available from culture collections. This allows large, powerful experiments that can span hundreds or even thousands of generations, and gives evolutionary biologists access to an arsenal of high‐throughput culturing that can exploit a wide range of physiological and genetic tools. In short, these are the perfect systems in which to ask general questions about evolution. Accepted Article
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This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1111/evo.12116
