FIG 6.

Upper bound on possible jumps in growth rates. (A) Upper bounds on possible jumps in growth rates are shown. At a given point in time, a jump that reaches above the upper bound from a single mutation is statistically infeasible (95% confidence limit), whereas jumps that stay below the line are possible. (B) The upper bounds on jumps for different passage sizes are shown. These experiments were simulated with parameters that matched the experimental parameters used. Increasing the passage size can have a significant impact on the upper bound. Consequently, the time required to eliminate jumps of certain magnitudes can be much longer. As the passage size increases, however, there comes a point at which the returns begin to diminish, such that passage sizes between 0.1% and 10% do not show a large difference in the time required to find a given jump. (C) Relative amounts of resources needed to perform an ALE experiment were normalized to the smallest passage size. As the passage size is increased, the resource usage begins to increase greatly.