Literature DB >> 28841430

Evolution of protein specificity: insights from ancestral protein reconstruction.

Mohammad A Siddiq1, Georg Ka Hochberg1, Joseph W Thornton2.   

Abstract

Specific interactions between proteins and their molecular partners drive most biological processes, so understanding how these interactions evolve is an important question for biochemists and evolutionary biologists alike. It is often thought that ancestral proteins were systematically more promiscuous than modern proteins and that specificity usually evolves after gene duplication by partitioning and refining the activities of multifunctional ancestors. However, recent studies using ancestral protein reconstruction (APR) have found that ligand-specific functions in some modern protein families evolved de novo from ancestors that did not already have those functions. Further, the new specific interactions evolved by simple mechanisms, with just a few mutations changing classically recognized biochemical determinants of specificity, such as steric and electrostatic complementarity. Acquiring new specific interactions during evolution therefore appears to be neither difficult nor rare. Rather, it is likely that proteins continually gain and lose new activities over evolutionary time as mutations cause subtle but consequential changes in the shape and electrostatics of interaction interfaces. Only a few of these activities, however, are incorporated into the biological processes that contribute to fitness before they are lost to the ravages of further mutation.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28841430      PMCID: PMC6141201          DOI: 10.1016/j.sbi.2017.07.003

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  59 in total

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Journal:  Genetics       Date:  1999-04       Impact factor: 4.562

2.  A despecialization step underlying evolution of a family of serine proteases.

Authors:  Merridee A Wouters; Ke Liu; Peter Riek; Ahsan Husain
Journal:  Mol Cell       Date:  2003-08       Impact factor: 17.970

3.  Crystal structure of an ancient protein: evolution by conformational epistasis.

Authors:  Eric A Ortlund; Jamie T Bridgham; Matthew R Redinbo; Joseph W Thornton
Journal:  Science       Date:  2007-08-16       Impact factor: 47.728

Review 4.  Expanding the enzyme universe: accessing non-natural reactions by mechanism-guided directed evolution.

Authors:  Hans Renata; Z Jane Wang; Frances H Arnold
Journal:  Angew Chem Int Ed Engl       Date:  2015-02-03       Impact factor: 15.336

5.  Permissive secondary mutations enable the evolution of influenza oseltamivir resistance.

Authors:  Jesse D Bloom; Lizhi Ian Gong; David Baltimore
Journal:  Science       Date:  2010-06-04       Impact factor: 47.728

Review 6.  Enzyme recruitment in evolution of new function.

Authors:  R A Jensen
Journal:  Annu Rev Microbiol       Date:  1976       Impact factor: 15.500

7.  An evolutionary biochemist's perspective on promiscuity.

Authors:  Shelley D Copley
Journal:  Trends Biochem Sci       Date:  2015-01-05       Impact factor: 13.807

Review 8.  Enzyme (re)design: lessons from natural evolution and computation.

Authors:  John A Gerlt; Patricia C Babbitt
Journal:  Curr Opin Chem Biol       Date:  2009-02-23       Impact factor: 8.822

9.  Evolution of hormone-receptor complexity by molecular exploitation.

Authors:  Jamie T Bridgham; Sean M Carroll; Joseph W Thornton
Journal:  Science       Date:  2006-04-07       Impact factor: 47.728

10.  Stability-mediated epistasis constrains the evolution of an influenza protein.

Authors:  Lizhi Ian Gong; Marc A Suchard; Jesse D Bloom
Journal:  Elife       Date:  2013-05-14       Impact factor: 8.140

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  31 in total

1.  Analysis of allosteric communication in a multienzyme complex by ancestral sequence reconstruction.

Authors:  Michael Schupfner; Kristina Straub; Florian Busch; Rainer Merkl; Reinhard Sterner
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-23       Impact factor: 11.205

Review 2.  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

3.  Genetic Code Error Minimization as a Non-Adaptive But Beneficial Trait.

Authors:  Steven E Massey
Journal:  J Mol Evol       Date:  2019-01-02       Impact factor: 2.395

4.  Distinct Mechanisms of Resistance to a CENP-E Inhibitor Emerge in Near-Haploid and Diploid Cancer Cells.

Authors:  Rudolf Pisa; Donovan Y Z Phua; Tarun M Kapoor
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5.  Resurrecting Enzymes by Ancestral Sequence Reconstruction.

Authors:  Maria Laura Mascotti
Journal:  Methods Mol Biol       Date:  2022

6.  Development and retention of a primordial moonlighting pathway of protein modification in the absence of selection presents a puzzle.

Authors:  Xinyun Cao; Yaoqin Hong; Lei Zhu; Yuanyuan Hu; John E Cronan
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-16       Impact factor: 11.205

7.  Higher-order epistasis shapes the fitness landscape of a xenobiotic-degrading enzyme.

Authors:  Gloria Yang; Dave W Anderson; Florian Baier; Elias Dohmen; Nansook Hong; Paul D Carr; Shina Caroline Lynn Kamerlin; Colin J Jackson; Erich Bornberg-Bauer; Nobuhiko Tokuriki
Journal:  Nat Chem Biol       Date:  2019-10-21       Impact factor: 15.040

Review 8.  Evolving Perspective on the Origin and Diversification of Cellular Life and the Virosphere.

Authors:  Anja Spang; Tara A Mahendrarajah; Pierre Offre; Courtney W Stairs
Journal:  Genome Biol Evol       Date:  2022-05-31       Impact factor: 4.065

Review 9.  Advances in Enzymatic Synthesis of D-Amino Acids.

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Journal:  Int J Mol Sci       Date:  2020-05-01       Impact factor: 5.923

10.  Origin of complexity in haemoglobin evolution.

Authors:  Shane A Chandler; Yang Liu; Anthony V Signore; Arvind S Pillai; Carlos R Cortez-Romero; Justin L P Benesch; Arthur Laganowsky; Jay F Storz; Georg K A Hochberg; Joseph W Thornton
Journal:  Nature       Date:  2020-05-20       Impact factor: 49.962

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