A new spin on origins of evolvability: survival of the evolvable

Diversity trumps competition
April 30, 2013
evolvability_heat_map

Evolvability heat map for the abstract passive drift model. The average evolvability of organisms in each niche at the end of a simulation is shown averaged over 50 independent runs. The lighter the color, the more evolvable individuals are within that niche. The overall result is that evolvability increases with increasing distance from the starting niche in the center. (Credit: Joel Lehman, Kenneth O. Stanley/PLoS ONE)

Scientists have long observed that species seem to have become increasingly capable of evolving in response to changes in the environment.

But computer science researchers now say that the popular explanation of competition to survive in nature may not actually be necessary for evolvability to increase.

In a paper published this week in open-access PLOS ONE, the researchers report that evolvability can increase over generations regardless of whether species are competing for food, habitat or other factors.

Using a simulated model they designed to mimic how organisms evolve, the researchers saw increasing evolvability even without competitive pressure.

“The explanation is that evolvable organisms separate themselves naturally from less evolvable organisms over time simply by becoming increasingly diverse,” said Kenneth O. Stanley, an associate professor at the College of Engineering and Computer Science at the University of Central Florida.

He co-wrote the paper about the study along with lead author Joel Lehman, a post-doctoral researcher at the University of Texas at Austin.

The finding could have implications for the origins of evolvability in many species.

“When new species appear in the future, they are most likely descendants of those that were evolvable in the past,” Lehman said. “The result is that evolvable species accumulate over time even without selective pressure.”

During the simulations, the team’s simulated organisms became more evolvable without any pressure from other organisms out-competing them. The simulations were based on a conceptual algorithm.

“The algorithms used for the simulations are abstractly based on how organisms are evolved, but not on any particular real-life organism,” explained Lehman.

The team’s hypothesis is unique and is in contrast to most popular theories for why evolvability increases.

“An important implication of this result is that traditional selective and adaptive explanations for phenomena such as increasing evolvability deserve more scrutiny and may turn out unnecessary in some cases,” Stanley said.