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Characterizing Pareto fronts: Trade-offs in the yeast growth cycle constrain adaptation


Authors:
Jason Tarkington; Gavin Sherlock; Angelina Chan

Affiliation: Stanford University

Keywords:
Experimental evolution

Adaptive evolution involves optimizing multiple fitness related traits simultaneously. These traits can be projected into a multidimensional space known as trait space. Mapping the trait space accessible by single mutations reveals the constraints imposed on organismal fitness. The fitness of an organism in an environment is often dependent on more than one trait; for yeast these traits include fermentation, respiration, and stationary phase performance. While in some cases it may be possible to optimize multiple fitness related traits independently, certain fitness-related traits can also be constrained due to the pleiotropic effects of other fitness related traits, resulting in a trade-off. Previous work from our lab has shown that following evolution in a glucose containing carbon limited media, pareto fronts, indicative of underlying trade-offs, emerge between stationary phase and respiration, and between respiration and fermentation, though not between stationary phase and fermentation. Here we aim to understand why such trade-offs emerge among some fitness-related traits but not others. We are evolving barcoded yeast in a non-fermentable carbon source with varying amounts of time spent in stationary phase. This experimental design eliminates selection for fermentation entirely and creates varying degrees of selection for performance in respiration and stationary phase e.g., the two-day transfer regime selects primarily for respiration performance, while in the 10-day transfer regime stationary phase performance will be more important. Under these conditions stationary phase performance may be free to increase unconstrained by fermentation performance resulting in the emergence of a pareto front between these components of organismal fitness. Freedom from fermentation performance constraints may also allow yeast to maximize respiration and stationary phase simultaneously. In addition to the phenotypic analysis, we will also characterize the molecular basis of the underlying adaptive mutations that emerge.