Literature DB >> 24324165

Mutational effects on stability are largely conserved during protein evolution.

Orr Ashenberg1, L Ian Gong, Jesse D Bloom.   

Abstract

Protein stability and folding are the result of cooperative interactions among many residues, yet phylogenetic approaches assume that sites are independent. This discrepancy has engendered concerns about large evolutionary shifts in mutational effects that might confound phylogenetic approaches. Here we experimentally investigate this issue by introducing the same mutations into a set of diverged homologs of the influenza nucleoprotein and measuring the effects on stability. We find that mutational effects on stability are largely conserved across the homologs. We reach qualitatively similar conclusions when we simulate protein evolution with molecular-mechanics force fields. Our results do not mean that proteins evolve without epistasis, which can still arise even when mutational stability effects are conserved. However, our findings indicate that large evolutionary shifts in mutational effects on stability are rare, at least among homologs with similar structures and functions. We suggest that properly describing the clearly observable and highly conserved amino acid preferences at individual sites is likely to be far more important for phylogenetic analyses than accounting for rare shifts in amino acid propensities due to site covariation.

Keywords:  consensus design; heterotachy; substitution models

Mesh:

Substances:

Year:  2013        PMID: 24324165      PMCID: PMC3876214          DOI: 10.1073/pnas.1314781111

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


  50 in total

1.  Why are proteins marginally stable?

Authors:  Darin M Taverna; Richard A Goldstein
Journal:  Proteins       Date:  2002-01-01

2.  Site-specific amino acid replacement matrices from structurally constrained protein evolution simulations.

Authors:  María Silvina Fornasari; Gustavo Parisi; Julian Echave
Journal:  Mol Biol Evol       Date:  2002-03       Impact factor: 16.240

3.  The influenza virus nucleoprotein: a multifunctional RNA-binding protein pivotal to virus replication.

Authors:  Agustín Portela; Paul Digard
Journal:  J Gen Virol       Date:  2002-04       Impact factor: 3.891

4.  A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.

Authors:  S Whelan; N Goldman
Journal:  Mol Biol Evol       Date:  2001-05       Impact factor: 16.240

5.  Structural constraints and emergence of sequence patterns in protein evolution.

Authors:  G Parisi; J Echave
Journal:  Mol Biol Evol       Date:  2001-05       Impact factor: 16.240

6.  The consensus concept for thermostability engineering of proteins: further proof of concept.

Authors:  Martin Lehmann; Claudia Loch; Anke Middendorf; Dominik Studer; Søren F Lassen; Luis Pasamontes; Adolphus P G M van Loon; Markus Wyss
Journal:  Protein Eng       Date:  2002-05

7.  Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.

Authors:  Raphael Guerois; Jens Erik Nielsen; Luis Serrano
Journal:  J Mol Biol       Date:  2002-07-05       Impact factor: 5.469

8.  A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process.

Authors:  Nicolas Lartillot; Hervé Philippe
Journal:  Mol Biol Evol       Date:  2004-03-10       Impact factor: 16.240

9.  Three-body interactions improve the prediction of rate and mechanism in protein folding models.

Authors:  M R Ejtehadi; S P Avall; S S Plotkin
Journal:  Proc Natl Acad Sci U S A       Date:  2004-10-06       Impact factor: 11.205

10.  Biophysical mechanisms for large-effect mutations in the evolution of steroid hormone receptors.

Authors:  Michael J Harms; Geeta N Eick; Devrishi Goswami; Jennifer K Colucci; Patrick R Griffin; Eric A Ortlund; Joseph W Thornton
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-24       Impact factor: 11.205

View more
  55 in total

1.  Rapid Bioinformatic Identification of Thermostabilizing Mutations.

Authors:  David B Sauer; Nathan K Karpowich; Jin Mei Song; Da-Neng Wang
Journal:  Biophys J       Date:  2015-10-06       Impact factor: 4.033

2.  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 3.  Epistasis in protein evolution.

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

4.  Optimization of Protein Thermostability and Exploitation of Recognition Behavior to Engineer Altered Protein-DNA Recognition.

Authors:  Abigail R Lambert; Jazmine P Hallinan; Rachel Werther; Dawid Głów; Barry L Stoddard
Journal:  Structure       Date:  2020-04-30       Impact factor: 5.006

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

Authors:  Tyler N Starr; Julia M Flynn; Parul Mishra; Daniel N A Bolon; Joseph W Thornton
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-06       Impact factor: 11.205

6.  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

7.  Improved insights into protein thermal stability: from the molecular to the structurome scale.

Authors:  Fabrizio Pucci; Marianne Rooman
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-11-13       Impact factor: 4.226

Review 8.  Conformational dynamics and enzyme evolution.

Authors:  Dušan Petrović; Valeria A Risso; Shina Caroline Lynn Kamerlin; Jose M Sanchez-Ruiz
Journal:  J R Soc Interface       Date:  2018-07       Impact factor: 4.118

9.  Biophysics of protein evolution and evolutionary protein biophysics.

Authors:  Tobias Sikosek; Hue Sun Chan
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

10.  Limits to Compensatory Mutations: Insights from Temperature-Sensitive Alleles.

Authors:  Katarzyna Tomala; Piotr Zrebiec; Daniel L Hartl
Journal:  Mol Biol Evol       Date:  2019-09-01       Impact factor: 16.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.