Literature DB >> 23674678

Experimental interrogation of the path dependence and stochasticity of protein evolution using phage-assisted continuous evolution.

Bryan C Dickinson1, Aaron M Leconte, Benjamin Allen, Kevin M Esvelt, David R Liu.   

Abstract

To what extent are evolutionary outcomes determined by a population's recent environment, and to what extent do they depend on historical contingency and random chance? Here we apply a unique experimental system to investigate evolutionary reproducibility and path dependence at the protein level. We combined phage-assisted continuous evolution with high-throughput sequencing to analyze evolving protein populations as they adapted to divergent and then convergent selection pressures over hundreds of generations. Independent populations of T7 RNA polymerase genes were subjected to one of two selection histories ("pathways") demanding recognition of distinct intermediate promoters followed by a common final promoter. We observed distinct classes of solutions with unequal phenotypic activity and evolutionary potential evolve from the two pathways, as well as from replicate populations exposed to identical selection conditions. Mutational analysis revealed specific epistatic interactions that explained the observed path dependence and irreproducibility. Our results reveal in molecular detail how protein adaptation to different environments, as well as stochasticity among populations evolved in the same environment, can both generate evolutionary outcomes that preclude subsequent convergence.

Keywords:  directed evolution; evolutionary biology; tape of life

Mesh:

Substances:

Year:  2013        PMID: 23674678      PMCID: PMC3670371          DOI: 10.1073/pnas.1220670110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

1.  Profiles of adaptation in two similar viruses.

Authors:  K K Holder; J J Bull
Journal:  Genetics       Date:  2001-12       Impact factor: 4.562

2.  Studies of promoter recognition and start site selection by T7 RNA polymerase using a comprehensive collection of promoter variants.

Authors:  D Imburgio; M Rong; K Ma; W T McAllister
Journal:  Biochemistry       Date:  2000-08-29       Impact factor: 3.162

3.  Assessing the likelihood of recurrence during RNA evolution in vitro.

Authors:  Niles Lehman
Journal:  Artif Life       Date:  2004       Impact factor: 0.667

4.  Identification of a region of the bacteriophage T3 and T7 RNA polymerases that determines promoter specificity.

Authors:  K E Joho; L B Gross; N J McGraw; C Raskin; W T McAllister
Journal:  J Mol Biol       Date:  1990-09-05       Impact factor: 5.469

5.  T7 promoter contacts essential for promoter activity in vivo.

Authors:  R A Ikeda; C M Ligman; S Warshamana
Journal:  Nucleic Acids Res       Date:  1992-05-25       Impact factor: 16.971

6.  The synthesis of a self-propagating and infectious nucleic acid with a purified enzyme.

Authors:  S Spiegelman; I Haruna; I B Holland; G Beaudreau; D Mills
Journal:  Proc Natl Acad Sci U S A       Date:  1965-09       Impact factor: 11.205

7.  Discrimination between bacteriophage T3 and T7 promoters by the T3 and T7 RNA polymerases depends primarily upon a three base-pair region located 10 to 12 base-pairs upstream from the start site.

Authors:  J F Klement; M B Moorefield; E Jorgensen; J E Brown; S Risman; W T McAllister
Journal:  J Mol Biol       Date:  1990-09-05       Impact factor: 5.469

8.  A two-base-pair substitution in T7 promoter by SP6 promoter-specific base pairs alone abolishes T7 promoter activity but reveals SP6 promoter activity.

Authors:  S S Lee; C Kang
Journal:  Biochem Int       Date:  1992-02

9.  Structure of a transcribing T7 RNA polymerase initiation complex.

Authors:  G M Cheetham; T A Steitz
Journal:  Science       Date:  1999-12-17       Impact factor: 47.728

10.  A population-based experimental model for protein evolution: effects of mutation rate and selection stringency on evolutionary outcomes.

Authors:  Aaron M Leconte; Bryan C Dickinson; David D Yang; Irene A Chen; Benjamin Allen; David R Liu
Journal:  Biochemistry       Date:  2013-02-14       Impact factor: 3.162

View more
  49 in total

1.  How mutational epistasis impairs predictability in protein evolution and design.

Authors:  Charlotte M Miton; Nobuhiko Tokuriki
Journal:  Protein Sci       Date:  2016-01-22       Impact factor: 6.725

Review 2.  Epistasis in protein evolution.

Authors:  Tyler N Starr; Joseph W Thornton
Journal:  Protein Sci       Date:  2016-02-28       Impact factor: 6.725

3.  Reverse evolution leads to genotypic incompatibility despite functional and active site convergence.

Authors:  Miriam Kaltenbach; Colin J Jackson; Eleanor C Campbell; Florian Hollfelder; Nobuhiko Tokuriki
Journal:  Elife       Date:  2015-08-14       Impact factor: 8.140

4.  Directed evolution of genetic parts and circuits by compartmentalized partnered replication.

Authors:  Jared W Ellefson; Adam J Meyer; Randall A Hughes; Joe R Cannon; Jennifer S Brodbelt; Andrew D Ellington
Journal:  Nat Biotechnol       Date:  2013-11-03       Impact factor: 54.908

5.  Evolution of a split RNA polymerase as a versatile biosensor platform.

Authors:  Jinyue Pu; Julia Zinkus-Boltz; Bryan C Dickinson
Journal:  Nat Chem Biol       Date:  2017-02-13       Impact factor: 15.040

6.  High-speed multiparameter photophysical analyses of fluorophore libraries.

Authors:  Kevin M Dean; Lloyd M Davis; Jennifer L Lubbeck; Premashis Manna; Pia Friis; Amy E Palmer; Ralph Jimenez
Journal:  Anal Chem       Date:  2015-04-29       Impact factor: 6.986

7.  Contingency and entrenchment in protein evolution under purifying selection.

Authors:  Premal Shah; David M McCandlish; Joshua B Plotkin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-08       Impact factor: 11.205

8.  Directed Evolution as a Probe of Rate Promoting Vibrations Introduced via Mutational Change.

Authors:  Xi Chen; Steven D Schwartz
Journal:  Biochemistry       Date:  2018-03-22       Impact factor: 3.162

9.  A Panel of Protease-Responsive RNA Polymerases Respond to Biochemical Signals by Production of Defined RNA Outputs in Live Cells.

Authors:  Jinyue Pu; Ian Chronis; Daniel Ahn; Bryan C Dickinson
Journal:  J Am Chem Soc       Date:  2015-12-17       Impact factor: 15.419

10.  Bacteriophage-based synthetic biology for the study of infectious diseases.

Authors:  Robert J Citorik; Mark Mimee; Timothy K Lu
Journal:  Curr Opin Microbiol       Date:  2014-07-03       Impact factor: 7.934

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.