"What this system allows us to do is to look in incredible detail at the whole process," said Lenski. "Most of what we saw pretty much confirms what biologists have reported from other lines of evidence, but there was an interesting twist."
The twist is that some of the intermediate steps rather than always being steps up, or even sideways, were steps down. That is, some of the key mutations were harmful in the short term but survived the forces of natural selection and ultimately played a crucial role in the genetic development of a newly evolved complex function.
Squash, Bugs, and Computers
Lenski's laboratory is crammed with petri dishes filled with thousands of generations of the bacteria Escherichia coli which he uses to study evolution in realor wetorganisms. The bacteria replicate, mutate, and compete relatively quickly, allowing Lenski to watch and manipulate the process of evolution.
During a friendly game of squash with a colleague in the physics department, Lenski learned that Adami was to speak at Michigan State University about his experiments with digital organisms.
Lenski says he was skeptical, but went to the talk and found that Adami was using a different language to describe "similar dynamics to what we were finding with bacteria." The scientists decided to collaborate.
The researchers use the computer program designed by Adami, which is called Avida. The program is basically an artificial petri dish in which organisms reproduce and if they evolve the right skills, can perform mathematical calculations to obtain rewards.
The reward is more computer time that the digital organisms use to copy themselves. To mimic real life, Avida is programmed to randomly add mutations to the copies, thus spurring natural selection and evolution.
"As an evolutionary biologist who does experiments rather than looking at ancient fossils, I like to joke 'what has evolution done for us lately?,'" said Lenski. "I like to be able to watch the process. Microorganisms are one way of doing that. With digital ones we can measure all aspects of a complex system as it mutates and evolves."
The researchers found that if the digital organisms lived in a computer environment that only rewarded them for performing a complex mathematical taskakin to solving a logic puzzlethey never could evolve the ability to do it.
But when the scientists repeated the experiment in a computer environment that also rewarded the digital organisms for solving several simpler puzzles, the organisms eventually evolved the ability to solve the most complicated problem they were given.
"In order to get to the point of doing the most complex operations, the experiments showed it was necessary that they had to solve easier problems first," said Lenski.
The digital organisms solved the most complicated problem by borrowing and modifying bits and pieces of the "genetic code" that their ancestors had used to solve the simpler tasks, just as predicted by Darwin.
The surprise, says Lenski, is that the evolutionary process is not a ladder in which the fittest organisms are descended from the fittest organisms in earlier generations. Instead, some mutations are harmful in the short term but can set up subsequent changes that are quite beneficial.
"What we are able to do is show how all components of the evolutionary process, the random and non-random, get together to form a highly complex gene which could not have evolved by random drift," said Adami.
This research is funded by a grant from the U.S. National Science Foundation.
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