Literature DB >> 22938865

Protein biophysics explains why highly abundant proteins evolve slowly.

Adrian W R Serohijos1, Zilvinas Rimas, Eugene I Shakhnovich.   

Abstract

The consistent observation across all kingdoms of life that highly abundant proteins evolve slowly demonstrates that cellular abundance is a key determinant of protein evolutionary rate. However, other empirical findings, such as the broad distribution of evolutionary rates, suggest that additional variables determine the rate of protein evolution. Here, we report that under the global selection against the cytotoxic effects of misfolded proteins, folding stability (ΔG), simultaneous with abundance, is a causal variable of evolutionary rate. Using both theoretical analysis and multiscale simulations, we demonstrate that the anticorrelation between the premutation ΔG and the arising mutational effect (ΔΔG), purely biophysical in origin, is a necessary requirement for abundance-evolutionary rate covariation. Additionally, we predict and demonstrate in bacteria that the strength of abundance-evolutionary rate correlation depends on the divergence time separating reference genomes. Altogether, these results highlight the intrinsic role of protein biophysics in the emerging universal patterns of molecular evolution.
Copyright © 2012 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22938865      PMCID: PMC3533372          DOI: 10.1016/j.celrep.2012.06.022

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  38 in total

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Review 8.  Viral error catastrophe by mutagenic nucleosides.

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  52 in total

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Journal:  Mol Biol Evol       Date:  2019-09-01       Impact factor: 16.240

5.  The Role of Evolutionary Selection in the Dynamics of Protein Structure Evolution.

Authors:  Amy I Gilson; Ahmee Marshall-Christensen; Jeong-Mo Choi; Eugene I Shakhnovich
Journal:  Biophys J       Date:  2017-04-11       Impact factor: 4.033

6.  Accelerated simulation of evolutionary trajectories in origin-fixation models.

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Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

7.  The Many Nuanced Evolutionary Consequences of Duplicated Genes.

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8.  Highly abundant proteins favor more stable 3D structures in yeast.

Authors:  Adrian W R Serohijos; S Y Ryan Lee; Eugene I Shakhnovich
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Review 9.  Comparing protein folding in vitro and in vivo: foldability meets the fitness challenge.

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Journal:  Curr Opin Struct Biol       Date:  2014-01-14       Impact factor: 6.809

10.  Intermediate divergence levels maximize the strength of structure-sequence correlations in enzymes and viral proteins.

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