Literature DB >> 31093676

Protein Melting Temperature Cannot Fully Assess Whether Protein Folding Free Energy Underlies the Universal Abundance-Evolutionary Rate Correlation Seen in Proteins.

Rostam M Razban1.   

Abstract

The protein misfolding avoidance hypothesis explains the universal negative correlation between protein abundance and sequence evolutionary rate across the proteome by identifying protein folding free energy (ΔG) as the confounding variable. Abundant proteins resist toxic misfolding events by being more stable, and more stable proteins evolve slower because their mutations are more destabilizing. Direct supporting evidence consists only of computer simulations. A study taking advantage of a recent experimental breakthrough in measuring protein stability proteome-wide through melting temperature (Tm) (Leuenberger et al. 2017), found weak misfolding avoidance hypothesis support for the Escherichia coli proteome, and no support for the Saccharomyces cerevisiae, Homo sapiens, and Thermus thermophilus proteomes (Plata and Vitkup 2018). I find that the nontrivial relationship between Tm and ΔG and inaccuracy in Tm measurements by Leuenberger et al. 2017 can be responsible for not observing strong positive abundance-Tm and strong negative Tm-evolutionary rate correlations.
© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  noise; protein evolution; protein stability

Mesh:

Year:  2019        PMID: 31093676      PMCID: PMC6736436          DOI: 10.1093/molbev/msz119

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  52 in total

1.  Gene length and proximity to neighbors affect genome-wide expression levels.

Authors:  Francesca Chiaromonte; Webb Miller; Eric E Bouhassira
Journal:  Genome Res       Date:  2003-11-12       Impact factor: 9.043

2.  Misfolded proteins impose a dosage-dependent fitness cost and trigger a cytosolic unfolded protein response in yeast.

Authors:  Kerry A Geiler-Samerotte; Michael F Dion; Bogdan A Budnik; Stephanie M Wang; Daniel L Hartl; D Allan Drummond
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-27       Impact factor: 11.205

3.  PAML 4: phylogenetic analysis by maximum likelihood.

Authors:  Ziheng Yang
Journal:  Mol Biol Evol       Date:  2007-05-04       Impact factor: 16.240

4.  Cell-wide analysis of protein thermal unfolding reveals determinants of thermostability.

Authors:  Pascal Leuenberger; Stefan Ganscha; Abdullah Kahraman; Valentina Cappelletti; Paul J Boersema; Christian von Mering; Manfred Claassen; Paola Picotti
Journal:  Science       Date:  2017-02-24       Impact factor: 47.728

5.  Thermal proximity coaggregation for system-wide profiling of protein complex dynamics in cells.

Authors:  Chris Soon Heng Tan; Ka Diam Go; Xavier Bisteau; Lingyun Dai; Chern Han Yong; Nayana Prabhu; Mert Burak Ozturk; Yan Ting Lim; Lekshmy Sreekumar; Johan Lengqvist; Vinay Tergaonkar; Philipp Kaldis; Radoslaw M Sobota; Pär Nordlund
Journal:  Science       Date:  2018-02-08       Impact factor: 47.728

6.  Protein Stability and Avoidance of Toxic Misfolding Do Not Explain the Sequence Constraints of Highly Expressed Proteins.

Authors:  Germán Plata; Dennis Vitkup
Journal:  Mol Biol Evol       Date:  2018-03-01       Impact factor: 16.240

7.  Functional genomic analysis of the rates of protein evolution.

Authors:  Dennis P Wall; Aaron E Hirsh; Hunter B Fraser; Jochen Kumm; Guri Giaever; Michael B Eisen; Marcus W Feldman
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-30       Impact factor: 11.205

8.  Impact of translational error-induced and error-free misfolding on the rate of protein evolution.

Authors:  Jian-Rong Yang; Shi-Mei Zhuang; Jianzhi Zhang
Journal:  Mol Syst Biol       Date:  2010-10-19       Impact factor: 11.429

Review 9.  Comparing protein abundance and mRNA expression levels on a genomic scale.

Authors:  Dov Greenbaum; Christopher Colangelo; Kenneth Williams; Mark Gerstein
Journal:  Genome Biol       Date:  2003-08-29       Impact factor: 13.583

10.  Evidence of evolutionary selection for cotranslational folding.

Authors:  William M Jacobs; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-10       Impact factor: 11.205

View more
  6 in total

1.  The Influence of Codon Usage, Protein Abundance, and Protein Stability on Protein Evolution Vary by Evolutionary Distance and the Type of Protein.

Authors:  Peter M Palenchar
Journal:  Protein J       Date:  2022-02-11       Impact factor: 2.371

2.  Universal Constraints on Protein Evolution in the Long-Term Evolution Experiment with Escherichia coli.

Authors:  Rohan Maddamsetti
Journal:  Genome Biol Evol       Date:  2021-06-08       Impact factor: 3.416

3.  Avoidance of protein unfolding constrains protein stability in long-term evolution.

Authors:  Rostam M Razban; Pouria Dasmeh; Adrian W R Serohijos; Eugene I Shakhnovich
Journal:  Biophys J       Date:  2021-04-29       Impact factor: 3.699

4.  An Overexpression Experiment Does Not Support the Hypothesis That Avoidance of Toxicity Determines the Rate of Protein Evolution.

Authors:  Magdalena K Biesiadecka; Piotr Sliwa; Katarzyna Tomala; Ryszard Korona
Journal:  Genome Biol Evol       Date:  2020-05-01       Impact factor: 3.416

5.  The Relationship between the Misfolding Avoidance Hypothesis and Protein Evolutionary Rates in the Light of Empirical Evidence.

Authors:  Dinara R Usmanova; Germán Plata; Dennis Vitkup
Journal:  Genome Biol Evol       Date:  2021-02-03       Impact factor: 3.416

6.  A computational exploration of resilience and evolvability of protein-protein interaction networks.

Authors:  Brennan Klein; Ludvig Holmér; Keith M Smith; Mackenzie M Johnson; Anshuman Swain; Laura Stolp; Ashley I Teufel; April S Kleppe
Journal:  Commun Biol       Date:  2021-12-02
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.