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      Widespread Genetic Incompatibilities between First-Step Mutations during Parallel Adaptation of Saccharomyces cerevisiae to a Common Environment

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      PLoS Biology
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          Abstract

          Independently evolving populations may adapt to similar selection pressures via different genetic changes. The interactions between such changes, such as in a hybrid individual, can inform us about what course adaptation may follow and allow us to determine whether gene flow would be facilitated or hampered following secondary contact. We used Saccharomyces cerevisiae to measure the genetic interactions between first-step mutations that independently evolved in the same biosynthetic pathway following exposure to the fungicide nystatin. We found that genetic interactions are prevalent and predominantly negative, with the majority of mutations causing lower growth when combined in a double mutant than when alone as a single mutant (sign epistasis). The prevalence of sign epistasis is surprising given the small number of mutations tested and runs counter to expectations for mutations arising in a single biosynthetic pathway in the face of a simple selective pressure. Furthermore, in one third of pairwise interactions, the double mutant grew less well than either single mutant (reciprocal sign epistasis). The observation of reciprocal sign epistasis among these first adaptive mutations arising in the same genetic background indicates that partial postzygotic reproductive isolation could evolve rapidly between populations under similar selective pressures, even with only a single genetic change in each. The nature of the epistatic relationships was sensitive, however, to the level of drug stress in the assay conditions, as many double mutants became fitter than the single mutants at higher concentrations of nystatin. We discuss the implications of these results both for our understanding of epistatic interactions among beneficial mutations in the same biochemical pathway and for speciation.

          Abstract

          A study of yeast adapted to the fungicide nystatin finds that the first step toward speciation (partial postzygotic reproductive isolation) can evolve rapidly in populations under similar selective pressures.

          Author Summary

          We crossed yeast bearing different genetic mutations to determine the fitness of their hybrid offspring. These strains had previously evolved in the presence of the fungicide nystatin. Even though the initial strains had nearly identical genomes, differing only in the mutation they carried within the biosynthetic pathway leading to ergosterol, the hybrid offspring were less fit than expected based on parental fitness. These negative interactions were so strong that beneficial mutations often became deleterious in the presence of one another (sign epistasis). In one third of crosses, the hybrid double mutant grew less well than either single mutant (reciprocal sign epistasis). This work indicates that the first step toward speciation, partial postzygotic reproductive isolation, can evolve rapidly between populations under similar selective pressures, even with only a single genetic change in each.

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          Most cited references38

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          Principles for the buffering of genetic variation.

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            Diminishing returns epistasis among beneficial mutations decelerates adaptation.

            Epistasis has substantial impacts on evolution, in particular, the rate of adaptation. We generated combinations of beneficial mutations that arose in a lineage during rapid adaptation of a bacterium whose growth depended on a newly introduced metabolic pathway. The proportional selective benefit for three of the four loci consistently decreased when they were introduced onto more fit backgrounds. These three alleles all reduced morphological defects caused by expression of the foreign pathway. A simple theoretical model segregating the apparent contribution of individual alleles to benefits and costs effectively predicted the interactions between them. These results provide the first evidence that patterns of epistasis may differ for within- and between-gene interactions during adaptation and that diminishing returns epistasis contributes to the consistent observation of decelerating fitness gains during adaptation.
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              Microbial evolution. Global epistasis makes adaptation predictable despite sequence-level stochasticity.

              Epistatic interactions between mutations can make evolutionary trajectories contingent on the chance occurrence of initial mutations. We used experimental evolution in Saccharomyces cerevisiae to quantify this contingency, finding differences in adaptability among 64 closely related genotypes. Despite these differences, sequencing of 104 evolved clones showed that initial genotype did not constrain future mutational trajectories. Instead, reconstructed combinations of mutations revealed a pattern of diminishing-returns epistasis: Beneficial mutations have consistently smaller effects in fitter backgrounds. Taken together, these results show that beneficial mutations affecting a variety of biological processes are globally coupled; they interact strongly, but only through their combined effect on fitness. As a consequence, fitness evolution follows a predictable trajectory even though sequence-level adaptation is stochastic. Copyright © 2014, American Association for the Advancement of Science.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biol
                plos
                plosbiol
                PLoS Biology
                Public Library of Science (San Francisco, CA USA )
                1544-9173
                1545-7885
                23 January 2017
                January 2017
                23 January 2017
                : 15
                : 1
                : e1002591
                Affiliations
                [001]Department of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
                University of Bath, UNITED KINGDOM
                Author notes

                The authors have declared that no competing interests exist.

                • Conceptualization: JO ACG SPO.

                • Data curation: JO.

                • Formal analysis: JO.

                • Funding acquisition: SPO.

                • Investigation: JO.

                • Methodology: JO ACG SPO.

                • Resources: SPO.

                • Software: JO.

                • Supervision: ACG SPO.

                • Validation: JO.

                • Visualization: JO ACG.

                • Writing – original draft: JO ACG SPO.

                • Writing – review & editing: JO ACG SPO.

                [¤]

                Current Address: Department of Microbiology and Immunology, University of Minnesota, Minneapolis, Minnesota, United States of America

                Author information
                http://orcid.org/0000-0003-3301-0507
                http://orcid.org/0000-0002-0781-9356
                Article
                PBIOLOGY-D-16-01138
                10.1371/journal.pbio.1002591
                5256870
                28114370
                180dc17a-c68c-41b8-9044-555c5783718a
                © 2017 Ono et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 31 July 2016
                : 16 December 2016
                Page count
                Figures: 6, Tables: 5, Pages: 26
                Funding
                Funded by: Natural Sciences and Engineering Research Council of Canada (CA)
                Award ID: #2016-03711
                Award Recipient :
                This work was supported by the Natural Sciences and Engineering Research Council of Canada (post-doctoral fellowship to ACG; Discovery grant #2016-03711 to SPO, http://www.nserc-crsng.gc.ca/index_eng.asp), the Canadian Institutes of Health Research (for a Banting Postdoctoral Fellowship to ACG, http://www.cihr-irsc.gc.ca/e/193.html), and a University of British Columbia graduate fellowship to JO ( https://www.ubc.ca/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Heredity
                Epistasis
                Medicine and Health Sciences
                Pharmacology
                Drugs
                Antimicrobials
                Antifungals
                Nystatin
                Biology and Life Sciences
                Microbiology
                Microbial Control
                Antimicrobials
                Antifungals
                Nystatin
                Biology and Life Sciences
                Mycology
                Antifungals
                Nystatin
                Biology and Life Sciences
                Genetics
                Heredity
                Epistasis
                Fitness Epistasis
                Biology and Life Sciences
                Biochemistry
                Lipids
                Sterols
                Biology and Life Sciences
                Genetics
                Mutation
                Mutant Strains
                Biology and Life Sciences
                Genetics
                Heredity
                Epistasis
                Sign Epistasis
                Biology and Life Sciences
                Genetics
                Heredity
                Epistasis
                Sign Epistasis
                Reciprocal Sign Epistasis
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Biology and Life Sciences
                Genetics
                Population Genetics
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Custom metadata
                All data and analysis files are available from the Dryad database (doi: 10.5061/dryad.vs370).

                Life sciences
                Life sciences

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