Adaptive laboratory evolution in S. cerevisiae highlights role of transcription factors in fungal xenobiotic resistance
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Published:2022-02-11
Issue:1
Volume:5
Page:
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ISSN:2399-3642
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Container-title:Communications Biology
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language:en
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Short-container-title:Commun Biol
Author:
Ottilie Sabine, Luth Madeline R., Hellemann ErichORCID, Goldgof Gregory M., Vigil Eddy, Kumar Prianka, Cheung Andrea L., Song MirandaORCID, Godinez-Macias Karla P., Carolino Krypton, Yang Jennifer, Lopez Gisel, Abraham Matthew, Tarsio Maureen, LeBlanc EmmanuelleORCID, Whitesell LukeORCID, Schenken Jake, Gunawan Felicia, Patel Reysha, Smith Joshua, Love Melissa S., Williams Roy M., McNamara Case W., Gerwick William H.ORCID, Ideker Trey, Suzuki Yo, Wirth Dyann F., Lukens Amanda K., Kane Patricia M., Cowen Leah E.ORCID, Durrant Jacob D., Winzeler Elizabeth A.ORCID
Abstract
AbstractIn vitro evolution and whole genome analysis were used to comprehensively identify the genetic determinants of chemical resistance in Saccharomyces cerevisiae. Sequence analysis identified many genes contributing to the resistance phenotype as well as numerous amino acids in potential targets that may play a role in compound binding. Our work shows that compound-target pairs can be conserved across multiple species. The set of 25 most frequently mutated genes was enriched for transcription factors, and for almost 25 percent of the compounds, resistance was mediated by one of 100 independently derived, gain-of-function SNVs found in a 170 amino acid domain in the two Zn2C6 transcription factors YRR1 and YRM1 (p < 1 × 10−100). This remarkable enrichment for transcription factors as drug resistance genes highlights their important role in the evolution of antifungal xenobiotic resistance and underscores the challenge to develop antifungal treatments that maintain potency.
Funder
Bill and Melinda Gates Foundation U.S. Department of Health & Human Services | National Institutes of Health U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)
Reference108 articles.
1. Dettman, J. R. et al. Evolutionary insight from whole-genome sequencing of experimentally evolved microbes. Mol. Ecol. 21, 2058–2077 (2012). 2. Good, B. H., McDonald, M. J., Barrick, J. E., Lenski, R. E. & Desai, M. M. The dynamics of molecular evolution over 60,000 generations. Nature 551, 45–50 (2017). 3. Barrick, J. E. et al. Genome evolution and adaptation in a long-term experiment with Escherichia coli. Nature 461, 1243–1247 (2009). 4. Lenski, R. E. & Travisano, M. Dynamics of adaptation and diversification: a 10,000-generation experiment with bacterial populations. Proc. Natl Acad. Sci. USA 91, 6808–6814 (1994). 5. Dunham, M. J. et al. Characteristic genome rearrangements in experimental evolution of Saccharomyces cerevisiae. Proc. Natl Acad. Sci. USA 99, 16144–16149 (2002).
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