Measuring Competitive Fitness in Dynamic Environments

Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
American Chemical Society
Abstract

Most yeast genes are dispensable for optimal growth in laboratory cultures. However, this apparent lack of fitness contribution is difficult to reconcile with the theory of natural selection. Here we use stochastic modeling to show that environmental fluctuations can select for a genetic mechanism that does not affect growth in static laboratory environments. We then present a novel experimental platform for measuring the fitness levels of specific genotypes in fluctuating environments. We test this platform by monitoring a mixed culture of two yeast strains that differ in their ability to respond to changes in carbon source yet exhibit the same fitness level in static conditions. When the sugar in the growth medium was switched between galactose and glucose, the wild-type strain gained a growth advantage over the mutant strain. Interestingly, both our computational and experimental results show that the strength of the adaptive advantage conveyed by the wild-type genotype depends on the total number of carbon source switches, not on the frequency of these fluctuations. Our results illustrate the selective power of environmental fluctuations on seemingly slight phenotypic differences in cellular response dynamics and underscore the importance of dynamic processes in the evolution of species.

Description
Advisor
Degree
Type
Journal article
Keywords
Citation

Razinkov, Ivan A., Baumgartner, Bridget L., Bennett, Matthew R., et al.. "Measuring Competitive Fitness in Dynamic Environments." The Journal of Physical Chemistry B, 117, no. 42 (2013) American Chemical Society: 13175-13181. http://dx.doi.org/10.1021/jp403162v.

Has part(s)
Forms part of
Rights
This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the American Chemical Society.
Link to license
Citable link to this page