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      Microbial evolution. Global epistasis makes adaptation predictable despite sequence-level stochasticity.

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          Abstract

          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.

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          Author and article information

          Journal
          Science
          Science (New York, N.Y.)
          1095-9203
          0036-8075
          Jun 27 2014
          : 344
          : 6191
          Affiliations
          [1 ] Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA. skryazhi@oeb.harvard.edu mdesai@oeb.harvard.edu.
          [2 ] Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA.
          [3 ] Department of Physics, Harvard University, Cambridge, MA 02138, USA. FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA.
          [4 ] Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. Department of Physics, Harvard University, Cambridge, MA 02138, USA. FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA. skryazhi@oeb.harvard.edu mdesai@oeb.harvard.edu.
          Article
          344/6191/1519 NIHMS658386
          10.1126/science.1250939
          4314286
          24970088
          8ca2f302-fc6e-4e99-8b7e-edaa0dbae7c1
          Copyright © 2014, American Association for the Advancement of Science.
          History

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