Literature DB >> 24970088

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

Sergey Kryazhimskiy1,2, Daniel P Rice1,2, Elizabeth R Jerison3,2, Michael M Desai1,3,2.   

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.
Copyright © 2014, American Association for the Advancement of Science.

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Year:  2014        PMID: 24970088      PMCID: PMC4314286          DOI: 10.1126/science.1250939

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  27 in total

1.  On the evolution of codon volatility.

Authors:  Jianzhi Zhang
Journal:  Genetics       Date:  2004-09-30       Impact factor: 4.562

2.  Darwinian evolution can follow only very few mutational paths to fitter proteins.

Authors:  Daniel M Weinreich; Nigel F Delaney; Mark A Depristo; Daniel L Hartl
Journal:  Science       Date:  2006-04-07       Impact factor: 47.728

3.  Clonal interference is alleviated by high mutation rates in large populations.

Authors:  Jonathan P Bollback; John P Huelsenbeck
Journal:  Mol Biol Evol       Date:  2007-03-22       Impact factor: 16.240

4.  Long-term dynamics of adaptation in asexual populations.

Authors:  Michael J Wiser; Noah Ribeck; Richard E Lenski
Journal:  Science       Date:  2013-11-14       Impact factor: 47.728

5.  Experimental tests of the roles of adaptation, chance, and history in evolution.

Authors:  M Travisano; J A Mongold; A F Bennett; R E Lenski
Journal:  Science       Date:  1995-01-06       Impact factor: 47.728

6.  Estimating the per-base-pair mutation rate in the yeast Saccharomyces cerevisiae.

Authors:  Gregory I Lang; Andrew W Murray
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

7.  Historical contingency and the evolution of a key innovation in an experimental population of Escherichia coli.

Authors:  Zachary D Blount; Christina Z Borland; Richard E Lenski
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-04       Impact factor: 11.205

8.  Identification of the heterothallic mutation in HO-endonuclease of S. cerevisiae using HO/ho chimeric genes.

Authors:  H Meiron; E Nahon; D Raveh
Journal:  Curr Genet       Date:  1995-09       Impact factor: 3.886

9.  A comprehensive strategy enabling high-resolution functional analysis of the yeast genome.

Authors:  David K Breslow; Dale M Cameron; Sean R Collins; Maya Schuldiner; Jacob Stewart-Ornstein; Heather W Newman; Sigurd Braun; Hiten D Madhani; Nevan J Krogan; Jonathan S Weissman
Journal:  Nat Methods       Date:  2008-07-11       Impact factor: 28.547

10.  Rates of fitness decline and rebound suggest pervasive epistasis.

Authors:  L Perfeito; A Sousa; T Bataillon; I Gordo
Journal:  Evolution       Date:  2013-09-02       Impact factor: 3.694

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  158 in total

1.  Random transposon mutagenesis of the Saccharopolyspora erythraea genome reveals additional genes influencing erythromycin biosynthesis.

Authors:  Andrij Fedashchin; William H Cernota; Melissa C Gonzalez; Benjamin I Leach; Noelle Kwan; Roy K Wesley; J Mark Weber
Journal:  FEMS Microbiol Lett       Date:  2015-10-13       Impact factor: 2.742

2.  Sulfur isotope fractionation during the evolutionary adaptation of a sulfate-reducing bacterium.

Authors:  André Pellerin; Luke Anderson-Trocmé; Lyle G Whyte; Grant M Zane; Judy D Wall; Boswell A Wing
Journal:  Appl Environ Microbiol       Date:  2015-02-06       Impact factor: 4.792

3.  Simulations reveal challenges to artificial community selection and possible strategies for success.

Authors:  Li Xie; Alex E Yuan; Wenying Shou
Journal:  PLoS Biol       Date:  2019-06-25       Impact factor: 8.029

4.  Single nucleotide mapping of trait space reveals Pareto fronts that constrain adaptation.

Authors:  Yuping Li; Dmitri A Petrov; Gavin Sherlock
Journal:  Nat Ecol Evol       Date:  2019-10-14       Impact factor: 15.460

Review 5.  Effective models and the search for quantitative principles in microbial evolution.

Authors:  Benjamin H Good; Oskar Hallatschek
Journal:  Curr Opin Microbiol       Date:  2018-12-06       Impact factor: 7.934

Review 6.  The spectrum of adaptive mutations in experimental evolution.

Authors:  Gregory I Lang; Michael M Desai
Journal:  Genomics       Date:  2014-09-28       Impact factor: 5.736

7.  The Valley-of-Death: reciprocal sign epistasis constrains adaptive trajectories in a constant, nutrient limiting environment.

Authors:  Kami E Chiotti; Daniel J Kvitek; Karen H Schmidt; Gregory Koniges; Katja Schwartz; Elizabeth A Donckels; Frank Rosenzweig; Gavin Sherlock
Journal:  Genomics       Date:  2014-11-01       Impact factor: 5.736

8.  Minimum epistasis interpolation for sequence-function relationships.

Authors:  Juannan Zhou; David M McCandlish
Journal:  Nat Commun       Date:  2020-04-14       Impact factor: 14.919

9.  HIV-1 therapy with monoclonal antibody 3BNC117 elicits host immune responses against HIV-1.

Authors:  Till Schoofs; Florian Klein; Malte Braunschweig; Edward F Kreider; Anna Feldmann; Lilian Nogueira; Thiago Oliveira; Julio C C Lorenzi; Erica H Parrish; Gerald H Learn; Anthony P West; Pamela J Bjorkman; Sarah J Schlesinger; Michael S Seaman; Julie Czartoski; M Juliana McElrath; Nico Pfeifer; Beatrice H Hahn; Marina Caskey; Michel C Nussenzweig
Journal:  Science       Date:  2016-05-05       Impact factor: 47.728

Review 10.  The functional basis of adaptive evolution in chemostats.

Authors:  David Gresham; Jungeui Hong
Journal:  FEMS Microbiol Rev       Date:  2014-12-04       Impact factor: 16.408

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