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No peak in sight for evolving bacteria

Date:
November 14, 2013
Source:
Michigan State University
Summary:
There's no peak in sight -- fitness peak, that is -- for the bacteria being studied in one American lab. Scientists there have been running an evolutionary bacteria experiment for 25 years, generating more than 50,000 generations. In a paper published, the author compares it to hiking.
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There's no peak in sight ­- fitness peak, that is -- for the bacteria in Richard Lenski's Michigan State University lab.

Lenski, MSU Hannah Distinguished Professor of Microbiology and Molecular Genetics, has been running his evolutionary bacteria experiment for 25 years, generating more than 50,000 generations. In a paper published in the current issue of Science, Michael Wiser, lead author and MSU graduate student in Lenski's lab, compares it to hiking.

"When hiking, it's easy to start climbing toward what seems to be a peak, only to discover that the real peak is far off in the distance," Wiser said. "Now imagine you've been climbing for 25 years, and you're still nowhere near the peak."

Only the peaks aren't mountains. They are what biologists call fitness peaks -- when a population finds just the right set of mutations, so it can't get any better. Any new mutation that comes along will send things downhill.

The bacteria in Lenski's lab are still becoming more fit even after a quarter century, living in the same, simple environment.

Biologists have known that organisms keep evolving if the environment keeps changing, but they've previously thought that adaptation would eventually grind to a halt if the environment stayed constant for a long time.

Wiser pulled hundreds of samples from the deep freezer that contains a frozen fossil record -- bacteria all the way back to generation 0 in Lenski's 25-year experiment. And these fossils, unlike dinosaurs, are alive. So they can be competed against samples from different generations to measure the trajectory -- the path -- of the bacteria as they climbed for 50,000 generations toward the fitness peaks.

"There doesn't seem to be any end in sight," Lenski said. "We used to think the bacteria's fitness was leveling off, but now we see it's slowing down but not really leveling off."

Wiser found that the trajectories matched a type of mathematical function called a power law. Although the slope of the power-law function gets less and less steep over time, it never reaches a peak.

Noah Ribeck, co-author and MSU postdoctoral researcher, built a model using a few well-understood principles.

"It was surprising to me that a simple theory can describe the entirety of a long evolutionary trajectory that includes initially fast and furious adaptation that later slowed to a crawl," Ribeck said. "It's encouraging that despite all the complications inherent to biological systems, they are governed by general principles that can be described quantitatively."

When will it end?

"I call this the experiment that keeps on giving," Lenski said. "Even after 25 years, it's still generating new and exciting discoveries. From the models, we can predict how things will evolve -- how fit the bacteria will become -- if future generations of scientists continue the experiment long after I'm gone."

Lenski hopes that an endowment could be secured to keep the experiment going forever, he added.


Story Source:

Materials provided by Michigan State University. Note: Content may be edited for style and length.


Journal Reference:

  1. Michael J. Wiser, Noah Ribeck, and Richard E. Lenski. Long-Term Dynamics of Adaptation in Asexual Populations. Science, November 2013

Cite This Page:

Michigan State University. "No peak in sight for evolving bacteria." ScienceDaily. ScienceDaily, 14 November 2013. <www.sciencedaily.com/releases/2013/11/131114142215.htm>.
Michigan State University. (2013, November 14). No peak in sight for evolving bacteria. ScienceDaily. Retrieved December 21, 2024 from www.sciencedaily.com/releases/2013/11/131114142215.htm
Michigan State University. "No peak in sight for evolving bacteria." ScienceDaily. www.sciencedaily.com/releases/2013/11/131114142215.htm (accessed December 21, 2024).

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