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Freezer Full of Fossils v2.0

By Louise Mead1, Michael James Wiser1, Noah Ribeck2, Fred Hingst3, Richard Schultz4, Richard Lenski1

1. BEACON Center for the Study of Evolution in Action, Michigan State University 2. University of California, Santa Barbara 3. Dewitt High School 4. St. Johns High School

The Long Term Evolution Experiment started by Dr. Richard Lenski provides a rich dataset to help students explore concepts of fitness, replication, and adaption.

Listed in Teaching Materials | resource by group DIG into Data FMN (2017)

Version 1.0 - published on 11 Jun 2018 doi:10.25334/Q40D9W - cite this

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Louise Mead - LTEE.jpeg

Description

Evolutionary biologists study the dynamics of the adaptation of organisms to their environment and the divergence of populations and species from each other. But it can be very difficult to observe evolutionary change in populations because it often happens over long periods of time. In 1988 Dr. Richard Lenski started an evolution experiment that is still running today.  On February 24, 1988 12 populations of E. coli were placed in identical environments.  Each population was founded by a single cell from an asexual clone, and these populations have been evolving ever since. A remarkable feature of this experimental system is that the mean fitness of a derived population can be measured relative to a clone of its ancestor. This allows scientists to measure evolutionary fitness as the relative increase in reproductive rate of the descendant compared to its ancestor. The data provided in this exercise includes measurements of mean fitness in all 12 populations over time. Two different datasets allow students to explore the first 10,000 generations, and then make predictions about the trajectory of evolutionary change over 50,000 generations.  Students can then test their hypotheses - and if desired, identify the best model that describes changes in fitness over time.

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DIG into Data FMN (2017)

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