ArticleBiotechnology for biofuels2018
Determinants of selection in yeast evolved by genome shuffling.
Article in Biotechnology for biofuels, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- How adaptive laboratory evolution can boost yeast tolerance to lignocellulosic hydrolyses.Current genetics · 2022Review
- Multi-Faceted Systems Biology Approaches Present a Cellular Landscape of Phenolic Compound Inhibition inFrontiers in bioengineering and biotechnology · 2020Review
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Authors and funding
4 authors.
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Abstract
backgroundGenome shuffling (GS) is a widely adopted methodology for the evolutionary engineering of desirable traits in industrially relevant microorganisms. We have previously used genome shuffling to generate a strain of
resultsWhole population whole-genome sequencing was used to survey mutations selected during the experiment and extract allele frequency time series. Using growth curve assays on single point mutants and backcrossed derivatives, we explored the genetic architecture of the selected phenotype and detected examples of epistasis. Our results reveal cohorts of strongly correlated mutations, suggesting prevalent genetic hitchhiking and the presence of pre-existing founder mutations. From the patterns of apparent selection and the results of direct phenotypic assays, our results identify key driver mutations and deleterious hitchhikers.
conclusionsWe use these data to propose a model of inhibitor tolerance in our GS mutants. Our results also suggest a role for compensatory evolution and epistasis in our genome shuffling experiment and illustrate the impact of historical contingency on the outcomes of evolutionary engineering.
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