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How a 30-Year Experiment Has Fundamentally Changed Our View of How Evolution Works

One evolutionary biologist has been growing bacteria for 30 years. His epic experiment shows that evolution never stops.

By Nathaniel Scharping
Nov 11, 2019 12:00 PMMar 21, 2023 8:27 PM
Richard Lenski - Charlotte Bodak
The Long-Term Evolutionary Experiment's creator, evolutionary biologist Richard Lenski. (Credit: Charlotte Bodak)

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It’s 1988. A young scientist sets up a simple evolution experiment involving small colonies of bacteria growing in flasks. To be safe, he tries out two variations, each with slightly different parameters. Though they exist side by side, these two experiments are essentially parallel universes, mirrored versions of each other with just a few pieces swapped out. 

One of the experiments fails within months — the bacteria quickly stop growing like they should. But the other set of colonies prospers. The experiment eventually evolves into one of epic proportions — one that will offer unprecedented insights into the mechanics of evolution and yield a sprawling ecosystem of laboratories and researchers.

Was it the small disparities between the two experiments that made such a big difference? Or was it just dumb luck that one succeeded and one failed? Those questions, coincidentally, are exactly what the experiment’s creator, evolutionary biologist Richard Lenski, has been trying to answer.

Thirty-one years later, Lenski stands in the middle of his lab at Michigan State University. He’s tall, with a jovial face and crinkled blue eyes that flash with intensity when a topic he’s passionate about comes up. In front of him is a glass-lidded chest where 12 populations of Escherichia coli sit in flasks, gently shaken every so often by the machine inside. These small containers hold the latest iteration of the experiment that has become Lenski’s defining achievement: the Long-Term Evolution Experiment, or LTEE. 

Lenski is tracking, at the genetic level, the changes that happen to his 12 populations of bacteria. Seeing which mutations appear and linking them to physical traits lets him watch the bacteria experiment with their own biology in real time. Then he can study why one mutation might stick around while another disappears.

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