Genetic variation in adaptability and pleiotropy in budding yeast
Abstract
Evolution can favor organisms that are more adaptable, provided that genetic variation in adaptability exists. Here, we quantify this variation among 230 offspring of a cross between diverged yeast strains. We measure the adaptability of each offspring genotype, defined as its average rate of adaptation in a specific environmental condition, and analyze the heritability, predictability, and genetic basis of this trait. We find that initial genotype strongly affects adaptability and can alter the genetic basis of future evolution. Initial genotype also affects the pleiotropic consequences of adaptation for fitness in a different environment. This genetic variation in adaptability and pleiotropy is largely determined by initial fitness, according to a rule of declining adaptability with increasing initial fitness, but several individual QTLs also have a significant idiosyncratic role. Our results demonstrate that both adaptability and pleiotropy are complex traits, with extensive heritable differences arising from naturally occurring variation.
Data availability
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Data from: Genetic variation in adaptability and pleiotropy in budding yeastPublicly available at the NCBI Sequence Read Archive (accession no. SRP102877).
Article and author information
Author details
Funding
National Institutes of Health (R01GM102308)
- Leonid Kruglyak
Simons Foundation (376196)
- Michael M Desai
National Science Foundation (PHY 1313638)
- Michael M Desai
Howard Hughes Medical Institute (Investigator)
- Leonid Kruglyak
National Institutes of Health (R01GM104239)
- Michael M Desai
National Science Foundation (Graduate Research Fellowship)
- Elizabeth R Jerison
Burroughs Wellcome Fund (Career Award at the Scientific Interface)
- Sergey Kryazhimskiy
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2017, Jerison et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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