The alternative is to allow errors to happen, but evolve robustness to the effects of each of them. Masel and Rajon call this strategy a local solution, because in the absence of a global proofreading mechanism, it requires an organism to be resilient to each and every mistake that pops up.
"We discovered that extremely small populations will evolve global solutions, while very large populations will evolve local solutions," Masel said. "Most realistically sized populations can go either direction but will gravitate toward one or the other. But once they do, they rarely switch, even over the course of evolutionary time."
Using what is known about yeast, a popular model organism in basic biological research, Masel and Rajon formulated a mathematical model and ran computer simulations of genetic change in populations.
Avoiding or fixing errors comes at a cost, they pointed out. If it didn't, organisms would have evolved nearly error-free accuracy in translating genetic information into proteins. Instead, there is a trade-off between the cost of keeping proteins free of errors and the risk of allowing potentially deleterious mistakes.
In previous publications, Masel's group introduced the idea of variation within a population producing "hopeful and hopeless monsters" organisms with genetic changes whose consequences can be either mostly harmless or deadly, but rarely in between.
In the present paper, Masel and Rajon report that natural variation comes in two flavors: regular variation, which is generally bad most of the time, since the odds of a genetic mutation leading to something useful or even better are pretty slim, and what they call cryptic variation, which is less likely to be deadly, and more likely to be most
|Contact: Daniel Stolte|
University of Arizona