Ghenu, Ana-Hermina; Blanckaert, Alexandre; Butlin, Roger K.; Kulmuni, Jonna; Bank, Claudia
The deposited article version is a post-print and is the "Accepted Author Manuscript" provided by Wiley and posted online on 12th January 2018.
Ormond, Louise; Liu, Ping; Matuszewski, Sebastian; Renzette, Nicholas; Bank, Claudia; Zeldovich, Konstantin; Bolon, Daniel N.; Kowalik, Timothy F.; Finberg, Robert W.; Jensen, Jeffrey D.; Wang, Jennifer P.
This deposit is composed by the main article plus the supplementary materials of the publication.
Bank, Claudia; Matuszewski, Sebastian; Hietpas, Ryan T.; Jensen, Jeffrey D.
The study of fitness landscapes, which aims at mapping genotypes to fitness, is receiving ever-increasing attention. Novel experimental approaches combined with next-generation sequencing (NGS) methods enable accurate and extensive studies of the fitness effects of mutations, allowing us to test theoretical predictions and improve our understanding of the shape of the true underlying fitness landscape and its implications for the predictability and repeatability of evolution. Here, we present a uniquely large multiallelic fitness landscape comprising 640 engineered mutants that represent all possible combinations of 13 amino acid-changing mutations at 6 sites in the heat-shock protein Hsp90 in Saccharomyces cerevisiae under...