The repertoire and dynamics of evolutionary adaptations to controlled nutrient-limited environments in yeast
Open accessAbstract
The experimental evolution of laboratory populations of microbes provides an opportunity to observe the evolutionary dynamics of adaptation in real time. Until very recently, however, such studies have been limited by our inability to systematically find mutations in evolved organisms. We overcome this limitation by using a variety of DNA microarray-based techniques to characterize genetic changes -- including point mutations, structural changes, and insertion variation -- that resulted from the experimental adaptation of 24 haploid and diploid cultures of Saccharomyces cerevisiae to growth in either glucose, sulfate, or phosphate-limited chemostats for approximately 200 generations. We identified frequent genomic amplifications and rearrangements as well as novel retrotransposition events associated with adaptation. Global nucleotide variation detection in ten clonal isolates identified 32 point mutations. On the basis of mutation frequencies, we infer that these mutations and the subsequent dynamics of adaptation are determined by the batch phase of growth prior to initiation of the continuous phase in the chemostat. We relate these genotypic changes to phenotypic outcomes, namely global patterns of gene expression, and to increases in fitness by 5-50%. We found that the spectrum of available mutations in glucose- or phosphate-limited environments combined with the batch phase population dynamics early in our experiments allowed several distinct genotypic and phenotypic evolutionary pathways in response to these nutrient limitations. By contrast, sulfate-limited populations were much more constrained in both genotypic and phenotypic outcomes. Thus, the reproducibility of evolution varies with specific selective pressures, reflecting the constraints inherent in the system-level organization of metabolic processes in the cell. We were able to relate some of the observed adaptive mutations (e.g., transporter gene amplifications) to known features of the relevant metabolic pathways, but many of the mutations pointed to genes not previously associated with the relevant physiology. Thus, in addition to answering basic mechanistic questions about evolutionary mechanisms, our work suggests that experimental evolution can also shed light on the function and regulation of individual metabolic pathways.
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C. albicans, like S. cerevisiae, generates large scale genetic variation as a means of adaptation.
“Thus, C. albicans like S. cerevisiae (Gresham et al., 2008; Pavelka et al., 2010; Yona et al., 2012; Chang et al., 2013) generates large scale genetic variation as a means of adaptation.”
From The evolution of drug resistance in clinical isolates of Candida albicans. (2015) · cites this paper as Gresham et al., 2008
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- Authors
- Gresham, D., Desai, M. M., Tucker, C. M., Jenq, H. T., Pai, D. A., Ward, A., DeSevo, C. G., Botstein, D., & Dunham, M. J.
- Affiliations
- Princeton University (US)
- Corresponding author
- Botstein, David
- Dunham, Maitreya J.
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-12-12
- Volume
- 4
- Issue
- 12
- Pages
- e1000303
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC2586090
- OpenAlex
- W2170568588
- Cited by
- 482
- References
- 63
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- FWCI
- 12.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- National University of Singapore (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- National Institutes of Health (GM071508, GM046406)
- National Institute of General Medical Sciences (GM071508, R37GM046406, R01GM046406, GM046406, R01GM107466, P50GM071508)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Keywords
- experimental evolution, Saccharomyces cerevisiae, nutrient limitation, glucose limitation, sulfate limitation, phosphate limitation, chemostat, gene amplification, retrotransposition, point mutations, gene expression, fitness, metabolic pathways
- MeSH terms
- Adaptation, Physiological, Genotype, Glucose, Molecular Sequence Data, Mutation, Phenotype, Phosphates, Saccharomyces cerevisiae, Selection, Genetic, Sulfates, Gene Deletion, Evolution, Molecular, Oligonucleotide Array Sequence Analysis, Gene Duplication, Gene Expression Profiling, Saccharomyces cerevisiae Proteins
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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