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Has anyone ever conducted an evolution experiment and quantitatively compared it to theory? For example, has anyone ever put bacteria in a million petri dishes filled with antibiotics and calculated the number of petri dishes that should develop drug-resistant bacteria, and then compared that calculation with the experiment?

I imagine that both the experiment and theoretical modeling would be very difficult, but maybe someone has been ambitious enough to try it.

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If this is possible, I'd be particularly interested in finding out what variables they took into account in their calculations. –  LanceLafontaine Apr 15 '13 at 2:10
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I'm not really sure what the theoretical model would be. But really, I just wanted to say that you might enjoy reading about the Luria-Delbruck fluctuation experiment, which is tangentially relevant - see en.wikipedia.org/wiki/Luria%E2%80%93Delbr%C3%BCck_ –  Alan Boyd Apr 15 '13 at 11:24
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I think the closest example to this is Greg Lang's work at Princeton. His work will take a population of yeast and let it grow for 1000 generations. At each generation a sample will be kept allowing sequencing of the population at each generation. His website is available here: http://www.genomics.princeton.edu/glang/

And some of his work has already been published here: http://www.genomics.princeton.edu/glang/papers.htm

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