Literature DB >> 29626131

Pervasive contingency and entrenchment in a billion years of Hsp90 evolution.

Tyler N Starr1, Julia M Flynn2, Parul Mishra2,3, Daniel N A Bolon2, Joseph W Thornton4,5.   

Abstract

Interactions among mutations within a protein have the potential to make molecular evolution contingent and irreversible, but the extent to which epistasis actually shaped historical evolutionary trajectories is unclear. To address this question, we experimentally measured how the fitness effects of historical sequence substitutions changed during the billion-year evolutionary history of the heat shock protein 90 (Hsp90) ATPase domain beginning from a deep eukaryotic ancestor to modern Saccharomyces cerevisiae We found a pervasive influence of epistasis. Of 98 derived amino acid states that evolved along this lineage, about half compromise fitness when introduced into the reconstructed ancestral Hsp90. And the vast majority of ancestral states reduce fitness when introduced into the extant S. cerevisiae Hsp90. Overall, more than 75% of historical substitutions were contingent on permissive substitutions that rendered the derived state nondeleterious, became entrenched by subsequent restrictive substitutions that made the ancestral state deleterious, or both. This epistasis was primarily caused by specific interactions among sites rather than a general effect on the protein's tolerance to mutation. Our results show that epistasis continually opened and closed windows of mutational opportunity over evolutionary timescales, producing histories and biological states that reflect the transient internal constraints imposed by the protein's fleeting sequence states.

Entities:  

Keywords:  ancestral protein reconstruction; epistasis; heat shock proteins; molecular evolution; protein evolution

Mesh:

Substances:

Year:  2018        PMID: 29626131      PMCID: PMC5924896          DOI: 10.1073/pnas.1718133115

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


  48 in total

1.  Fitness analyses of all possible point mutations for regions of genes in yeast.

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Journal:  Nat Protoc       Date:  2012-06-21       Impact factor: 13.491

2.  Crystal structure of an ancient protein: evolution by conformational epistasis.

Authors:  Eric A Ortlund; Jamie T Bridgham; Matthew R Redinbo; Joseph W Thornton
Journal:  Science       Date:  2007-08-16       Impact factor: 47.728

3.  Permissive secondary mutations enable the evolution of influenza oseltamivir resistance.

Authors:  Jesse D Bloom; Lizhi Ian Gong; David Baltimore
Journal:  Science       Date:  2010-06-04       Impact factor: 47.728

4.  A new method of inference of ancestral nucleotide and amino acid sequences.

Authors:  Z Yang; S Kumar; M Nei
Journal:  Genetics       Date:  1995-12       Impact factor: 4.562

5.  A systematic survey of an intragenic epistatic landscape.

Authors:  Claudia Bank; Ryan T Hietpas; Jeffrey D Jensen; Daniel N A Bolon
Journal:  Mol Biol Evol       Date:  2014-11-03       Impact factor: 16.240

6.  Population genomics of the wild yeast Saccharomyces paradoxus: Quantifying the life cycle.

Authors:  Isheng J Tsai; Douda Bensasson; Austin Burt; Vassiliki Koufopanou
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-14       Impact factor: 11.205

7.  Mutational studies on resurrected ancestral proteins reveal conservation of site-specific amino acid preferences throughout evolutionary history.

Authors:  Valeria A Risso; Fadia Manssour-Triedo; Asunción Delgado-Delgado; Rocio Arco; Alicia Barroso-delJesus; Alvaro Ingles-Prieto; Raquel Godoy-Ruiz; Jose A Gavira; Eric A Gaucher; Beatriz Ibarra-Molero; Jose M Sanchez-Ruiz
Journal:  Mol Biol Evol       Date:  2014-11-12       Impact factor: 16.240

8.  Site-Specific Amino Acid Preferences Are Mostly Conserved in Two Closely Related Protein Homologs.

Authors:  Michael B Doud; Orr Ashenberg; Jesse D Bloom
Journal:  Mol Biol Evol       Date:  2015-07-29       Impact factor: 16.240

9.  Deep mutational scanning of an RRM domain of the Saccharomyces cerevisiae poly(A)-binding protein.

Authors:  Daniel Melamed; David L Young; Caitlin E Gamble; Christina R Miller; Stanley Fields
Journal:  RNA       Date:  2013-09-24       Impact factor: 4.942

10.  An epistatic ratchet constrains the direction of glucocorticoid receptor evolution.

Authors:  Jamie T Bridgham; Eric A Ortlund; Joseph W Thornton
Journal:  Nature       Date:  2009-09-24       Impact factor: 49.962

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  26 in total

1.  Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation.

Authors:  Grant Kinsler; Kerry Geiler-Samerotte; Dmitri A Petrov
Journal:  Elife       Date:  2020-12-02       Impact factor: 8.140

2.  Pervasive Pairwise Intragenic Epistasis among Sequential Mutations in TEM-1 β-Lactamase.

Authors:  Courtney E Gonzalez; Marc Ostermeier
Journal:  J Mol Biol       Date:  2019-03-25       Impact factor: 5.469

3.  Evolution Rapidly Optimizes Stability and Aggregation in Lattice Proteins Despite Pervasive Landscape Valleys and Mazes.

Authors:  Jason Bertram; Joanna Masel
Journal:  Genetics       Date:  2020-02-27       Impact factor: 4.562

4.  Ancestral Sequence Reconstruction for Exploring Alkaloid Evolution.

Authors:  Benjamin R Lichman
Journal:  Methods Mol Biol       Date:  2022

5.  Sequence dependencies and biophysical features both govern cleavage of diverse cut-sites by HIV protease.

Authors:  Neha Samant; Gily Nachum; Tenzin Tsepal; Daniel N A Bolon
Journal:  Protein Sci       Date:  2022-07       Impact factor: 6.993

6.  Epistatic drift causes gradual decay of predictability in protein evolution.

Authors:  Yeonwoo Park; Brian P H Metzger; Joseph W Thornton
Journal:  Science       Date:  2022-05-19       Impact factor: 63.714

7.  Emerging Frontiers in the Study of Molecular Evolution.

Authors:  David A Liberles; Belinda Chang; Kerry Geiler-Samerotte; Aaron Goldman; Jody Hey; Betül Kaçar; Michelle Meyer; William Murphy; David Posada; Andrew Storfer
Journal:  J Mol Evol       Date:  2020-04       Impact factor: 2.395

Review 8.  Shifts in amino acid preferences as proteins evolve: A synthesis of experimental and theoretical work.

Authors:  Noor Youssef; Edward Susko; Andrew J Roger; Joseph P Bielawski
Journal:  Protein Sci       Date:  2021-08-12       Impact factor: 6.993

9.  Mapping mutational effects along the evolutionary landscape of HIV envelope.

Authors:  Hugh K Haddox; Adam S Dingens; Sarah K Hilton; Julie Overbaugh; Jesse D Bloom
Journal:  Elife       Date:  2018-03-28       Impact factor: 8.140

10.  Modeling site-specific amino-acid preferences deepens phylogenetic estimates of viral sequence divergence.

Authors:  Sarah K Hilton; Jesse D Bloom
Journal:  Virus Evol       Date:  2018-11-06
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