Literature DB >> 25927823

Universal distribution of mutational effects on protein stability, uncoupling of protein robustness from sequence evolution and distinct evolutionary modes of prokaryotic and eukaryotic proteins.

Guilhem Faure1, Eugene V Koonin.   

Abstract

Robustness to destabilizing effects of mutations is thought of as a key factor of protein evolution. The connections between two measures of robustness, the relative core size and the computationally estimated effect of mutations on protein stability (ΔΔG), protein abundance and the selection pressure on protein-coding genes (dN/dS) were analyzed for the organisms with a large number of available protein structures including four eukaryotes, two bacteria and one archaeon. The distribution of the effects of mutations in the core on protein stability is universal and indistinguishable in eukaryotes and bacteria, centered at slightly destabilizing amino acid replacements, and with a heavy tail of more strongly destabilizing replacements. The distribution of mutational effects in the hyperthermophilic archaeon Thermococcus gammatolerans is significantly shifted toward strongly destabilizing replacements which is indicative of stronger constraints that are imposed on proteins in hyperthermophiles. The median effect of mutations is strongly, positively correlated with the relative core size, in evidence of the congruence between the two measures of protein robustness. However, both measures show only limited correlations to the expression level and selection pressure on protein-coding genes. Thus, the degree of robustness reflected in the universal distribution of mutational effects appears to be a fundamental, ancient feature of globular protein folds whereas the observed variations are largely neutral and uncoupled from short term protein evolution. A weak anticorrelation between protein core size and selection pressure is observed only for surface residues in prokaryotes but a stronger anticorrelation is observed for all residues in eukaryotic proteins. This substantial difference between proteins of prokaryotes and eukaryotes is likely to stem from the demonstrable higher compactness of prokaryotic proteins.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25927823      PMCID: PMC4770899          DOI: 10.1088/1478-3975/12/3/035001

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  72 in total

Review 1.  Trends in protein evolution inferred from sequence and structure analysis.

Authors:  L Aravind; Raja Mazumder; Sona Vasudevan; Eugene V Koonin
Journal:  Curr Opin Struct Biol       Date:  2002-06       Impact factor: 6.809

2.  A simple definition of structural regions in proteins and its use in analyzing interface evolution.

Authors:  Emmanuel D Levy
Journal:  J Mol Biol       Date:  2010-09-22       Impact factor: 5.469

3.  Converging on a general model of protein evolution.

Authors:  Joshua T Herbeck; Dennis P Wall
Journal:  Trends Biotechnol       Date:  2005-10       Impact factor: 19.536

4.  Thermodynamic prediction of protein neutrality.

Authors:  Jesse D Bloom; Jonathan J Silberg; Claus O Wilke; D Allan Drummond; Christoph Adami; Frances H Arnold
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-11       Impact factor: 11.205

Review 5.  Evolutionary systems biology: links between gene evolution and function.

Authors:  Eugene V Koonin; Yuri I Wolf
Journal:  Curr Opin Biotechnol       Date:  2006-09-08       Impact factor: 9.740

6.  The frailty of adaptive hypotheses for the origins of organismal complexity.

Authors:  Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-09       Impact factor: 11.205

7.  Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis.

Authors:  Majid Masso; Iosif I Vaisman
Journal:  Bioinformatics       Date:  2008-07-16       Impact factor: 6.937

8.  SCWRL and MolIDE: computer programs for side-chain conformation prediction and homology modeling.

Authors:  Qiang Wang; Adrian A Canutescu; Roland L Dunbrack
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

9.  Structural determinants of protein evolution are context-sensitive at the residue level.

Authors:  Eric A Franzosa; Yu Xia
Journal:  Mol Biol Evol       Date:  2009-07-13       Impact factor: 16.240

10.  OMA 2011: orthology inference among 1000 complete genomes.

Authors:  Adrian M Altenhoff; Adrian Schneider; Gaston H Gonnet; Christophe Dessimoz
Journal:  Nucleic Acids Res       Date:  2010-11-27       Impact factor: 16.971

View more
  13 in total

1.  Secreted Proteins Defy the Expression Level-Evolutionary Rate Anticorrelation.

Authors:  Felix Feyertag; Patricia M Berninsone; David Alvarez-Ponce
Journal:  Mol Biol Evol       Date:  2017-03-01       Impact factor: 16.240

2.  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

3.  Effects of Single Mutations on Protein Stability Are Gaussian Distributed.

Authors:  Rostam M Razban; Eugene I Shakhnovich
Journal:  Biophys J       Date:  2020-05-01       Impact factor: 4.033

4.  ATGC database and ATGC-COGs: an updated resource for micro- and macro-evolutionary studies of prokaryotic genomes and protein family annotation.

Authors:  David M Kristensen; Yuri I Wolf; Eugene V Koonin
Journal:  Nucleic Acids Res       Date:  2016-10-18       Impact factor: 16.971

5.  Understanding the mutational frequency in SARS-CoV-2 proteome using structural features.

Authors:  Puneet Rawat; Divya Sharma; Medha Pandey; R Prabakaran; M Michael Gromiha
Journal:  Comput Biol Med       Date:  2022-06-07       Impact factor: 6.698

6.  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

Review 7.  Biophysical Models of Protein Evolution: Understanding the Patterns of Evolutionary Sequence Divergence.

Authors:  Julian Echave; Claus O Wilke
Journal:  Annu Rev Biophys       Date:  2017-03-15       Impact factor: 12.981

Review 8.  Causes of evolutionary rate variation among protein sites.

Authors:  Julian Echave; Stephanie J Spielman; Claus O Wilke
Journal:  Nat Rev Genet       Date:  2016-01-19       Impact factor: 53.242

9.  Role of mRNA structure in the control of protein folding.

Authors:  Guilhem Faure; Aleksey Y Ogurtsov; Svetlana A Shabalina; Eugene V Koonin
Journal:  Nucleic Acids Res       Date:  2016-07-27       Impact factor: 16.971

10.  3D spatial organization and network-guided comparison of mutation profiles in Glioblastoma reveals similarities across patients.

Authors:  Cansu Dincer; Tugba Kaya; Ozlem Keskin; Attila Gursoy; Nurcan Tuncbag
Journal:  PLoS Comput Biol       Date:  2019-09-17       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.