Literature DB >> 25624494

Protein folding and binding can emerge as evolutionary spandrels through structural coupling.

Michael Manhart1, Alexandre V Morozov2.   

Abstract

Binding interactions between proteins and other molecules mediate numerous cellular processes, including metabolism, signaling, and gene regulation. These interactions often evolve in response to changes in the protein's chemical or physical environment (such as the addition of an antibiotic). Several recent studies have shown the importance of folding stability in constraining protein evolution. Here we investigate how structural coupling between folding and binding--the fact that most proteins can only bind their targets when folded--gives rise to an evolutionary coupling between the traits of folding stability and binding strength. Using a biophysical and evolutionary model, we show how these protein traits can emerge as evolutionary "spandrels" even if they do not confer an intrinsic fitness advantage. In particular, proteins can evolve strong binding interactions that have no functional role but merely serve to stabilize the protein if its misfolding is deleterious. Furthermore, such proteins may have divergent fates, evolving to bind or not bind their targets depending on random mutational events. These observations may explain the abundance of apparently nonfunctional interactions among proteins observed in high-throughput assays. In contrast, for proteins with both functional binding and deleterious misfolding, evolution may be highly predictable at the level of biophysical traits: adaptive paths are tightly constrained to first gain extra folding stability and then partially lose it as the new binding function is developed. These findings have important consequences for our understanding of how natural and engineered proteins evolve under selective pressure.

Entities:  

Keywords:  evolutionary spandrels; fitness landscapes; folding stability; protein evolution; protein interactions

Mesh:

Substances:

Year:  2015        PMID: 25624494      PMCID: PMC4330747          DOI: 10.1073/pnas.1415895112

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


  41 in total

1.  Evolution of an antibiotic resistance enzyme constrained by stability and activity trade-offs.

Authors:  Xiaojun Wang; George Minasov; Brian K Shoichet
Journal:  J Mol Biol       Date:  2002-06-28       Impact factor: 5.469

2.  Nonspecific binding limits the number of proteins in a cell and shapes their interaction networks.

Authors:  Margaret E Johnson; Gerhard Hummer
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-27       Impact factor: 11.205

3.  The stability effects of protein mutations appear to be universally distributed.

Authors:  Nobuhiko Tokuriki; Francois Stricher; Joost Schymkowitz; Luis Serrano; Dan S Tawfik
Journal:  J Mol Biol       Date:  2007-03-31       Impact factor: 5.469

Review 4.  Molecular chaperones in protein folding and proteostasis.

Authors:  F Ulrich Hartl; Andreas Bracher; Manajit Hayer-Hartl
Journal:  Nature       Date:  2011-07-20       Impact factor: 49.962

5.  The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme.

Authors:  S J Gould; R C Lewontin
Journal:  Proc R Soc Lond B Biol Sci       Date:  1979-09-21

6.  Protein structure and the spandrels of San Marco: insulin's receptor-binding surface is buttressed by an invariant leucine essential for its stability.

Authors:  Michael A Weiss; Satoe H Nakagawa; Wenhua Jia; Bin Xu; Qing-xin Hua; Ying-Chi Chu; Run-ying Wang; Panayotis G Katsoyannis
Journal:  Biochemistry       Date:  2002-01-22       Impact factor: 3.162

7.  Mutational analysis of 48G7 reveals that somatic hypermutation affects both antibody stability and binding affinity.

Authors:  Sophie B Sun; Shiladitya Sen; Nam-Jung Kim; Thomas J Magliery; Peter G Schultz; Feng Wang
Journal:  J Am Chem Soc       Date:  2013-06-26       Impact factor: 15.419

8.  Mistranslation-induced protein misfolding as a dominant constraint on coding-sequence evolution.

Authors:  D Allan Drummond; Claus O Wilke
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

9.  BioGRID: a general repository for interaction datasets.

Authors:  Chris Stark; Bobby-Joe Breitkreutz; Teresa Reguly; Lorrie Boucher; Ashton Breitkreutz; Mike Tyers
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

10.  Evolutionary capacitance and control of protein stability in protein-protein interaction networks.

Authors:  Purushottam D Dixit; Sergei Maslov
Journal:  PLoS Comput Biol       Date:  2013-04-04       Impact factor: 4.475

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  19 in total

1.  Nature's origami: Understanding folding helps to analyze the self-structuring of molecules, organs and surfaces.

Authors:  Philip Hunter
Journal:  EMBO Rep       Date:  2015-10-15       Impact factor: 8.807

2.  Path statistics, memory, and coarse-graining of continuous-time random walks on networks.

Authors:  Michael Manhart; Willow Kion-Crosby; Alexandre V Morozov
Journal:  J Chem Phys       Date:  2015-12-07       Impact factor: 3.488

3.  Causes and evolutionary consequences of primordial germ-cell specification mode in metazoans.

Authors:  Carrie A Whittle; Cassandra G Extavour
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-06       Impact factor: 11.205

4.  Inferring the shape of global epistasis.

Authors:  Jakub Otwinowski; David M McCandlish; Joshua B Plotkin
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-23       Impact factor: 11.205

5.  Biophysical Inference of Epistasis and the Effects of Mutations on Protein Stability and Function.

Authors:  Jakub Otwinowski
Journal:  Mol Biol Evol       Date:  2018-10-01       Impact factor: 16.240

6.  Evolutionary dynamics of viral escape under antibodies stress: A biophysical model.

Authors:  Nicolas Chéron; Adrian W R Serohijos; Jeong-Mo Choi; Eugene I Shakhnovich
Journal:  Protein Sci       Date:  2016-03-24       Impact factor: 6.725

7.  Data-driven supervised learning of a viral protease specificity landscape from deep sequencing and molecular simulations.

Authors:  Manasi A Pethe; Aliza B Rubenstein; Sagar D Khare
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-26       Impact factor: 11.205

Review 8.  Bridging the physical scales in evolutionary biology: from protein sequence space to fitness of organisms and populations.

Authors:  Shimon Bershtein; Adrian Wr Serohijos; Eugene I Shakhnovich
Journal:  Curr Opin Struct Biol       Date:  2016-10-31       Impact factor: 6.809

Review 9.  Mechanisms of protein evolution.

Authors:  Vijay Jayaraman; Saacnicteh Toledo-Patiño; Lianet Noda-García; Paola Laurino
Journal:  Protein Sci       Date:  2022-07       Impact factor: 6.993

10.  A hydrophobic ratchet entrenches molecular complexes.

Authors:  Georg K A Hochberg; Yang Liu; Erik G Marklund; Brian P H Metzger; Arthur Laganowsky; Joseph W Thornton
Journal:  Nature       Date:  2020-12-09       Impact factor: 49.962

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