Literature DB >> 27810574

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

Shimon Bershtein1, Adrian Wr Serohijos2, Eugene I Shakhnovich3.   

Abstract

Bridging the gap between the molecular properties of proteins and organismal/population fitness is essential for understanding evolutionary processes. This task requires the integration of the several physical scales of biological organization, each defined by a distinct set of mechanisms and constraints, into a single unifying model. The molecular scale is dominated by the constraints imposed by the physico-chemical properties of proteins and their substrates, which give rise to trade-offs and epistatic (non-additive) effects of mutations. At the systems scale, biological networks modulate protein expression and can either buffer or enhance the fitness effects of mutations. The population scale is influenced by the mutational input, selection regimes, and stochastic changes affecting the size and structure of populations, which eventually determine the evolutionary fate of mutations. Here, we summarize the recent advances in theory, computer simulations, and experiments that advance our understanding of the links between various physical scales in biology.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27810574      PMCID: PMC5373997          DOI: 10.1016/j.sbi.2016.10.013

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


  99 in total

1.  Understanding hierarchical protein evolution from first principles.

Authors:  N V Dokholyan; E I Shakhnovich
Journal:  J Mol Biol       Date:  2001-09-07       Impact factor: 5.469

2.  On the probability of fixation of mutant genes in a population.

Authors:  M KIMURA
Journal:  Genetics       Date:  1962-06       Impact factor: 4.562

3.  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

4.  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

5.  Theory of cooperative transitions in protein molecules. I. Why denaturation of globular protein is a first-order phase transition.

Authors:  E I Shakhnovich; A V Finkelstein
Journal:  Biopolymers       Date:  1989-10       Impact factor: 2.505

6.  Compensatory gene amplification restores fitness after inter-species gene replacements.

Authors:  Peter A Lind; Christina Tobin; Otto G Berg; Charles G Kurland; Dan I Andersson
Journal:  Mol Microbiol       Date:  2010-01-18       Impact factor: 3.501

7.  Epistasis among adaptive mutations in deer mouse hemoglobin.

Authors:  Chandrasekhar Natarajan; Noriko Inoguchi; Roy E Weber; Angela Fago; Hideaki Moriyama; Jay F Storz
Journal:  Science       Date:  2013-06-14       Impact factor: 47.728

8.  Protein Homeostasis Imposes a Barrier on Functional Integration of Horizontally Transferred Genes in Bacteria.

Authors:  Shimon Bershtein; Adrian W R Serohijos; Sanchari Bhattacharyya; Michael Manhart; Jeong-Mo Choi; Wanmeng Mu; Jingwen Zhou; Eugene I Shakhnovich
Journal:  PLoS Genet       Date:  2015-10-20       Impact factor: 5.917

9.  Correlated electrostatic mutations provide a reservoir of stability in HIV protease.

Authors:  Omar Haq; Michael Andrec; Alexandre V Morozov; Ronald M Levy
Journal:  PLoS Comput Biol       Date:  2012-09-06       Impact factor: 4.475

10.  Site-Specific Amino Acid Preferences Are Mostly Conserved in Two Closely Related Protein Homologs.

Authors:  Michael B Doud; Orr Ashenberg; Jesse D Bloom
Journal:  Mol Biol Evol       Date:  2015-07-29       Impact factor: 16.240

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  22 in total

1.  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

2.  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

3.  Protein Evolution is Potentially Governed by Protein Stability: Directed Evolution of an Esterase from the Hyperthermophilic Archaeon Sulfolobus tokodaii.

Authors:  Ryo Kurahashi; Satoshi Sano; Kazufumi Takano
Journal:  J Mol Evol       Date:  2018-04-20       Impact factor: 2.395

4.  Environmental selection and epistasis in an empirical phenotype-environment-fitness landscape.

Authors:  J Z Chen; D M Fowler; N Tokuriki
Journal:  Nat Ecol Evol       Date:  2022-02-24       Impact factor: 19.100

5.  ProteomeVis: a web app for exploration of protein properties from structure to sequence evolution across organisms' proteomes.

Authors:  Rostam M Razban; Amy I Gilson; Niamh Durfee; Hendrik Strobelt; Kasper Dinkla; Jeong-Mo Choi; Hanspeter Pfister; Eugene I Shakhnovich
Journal:  Bioinformatics       Date:  2018-10-15       Impact factor: 6.937

6.  Elevated temperature increases genome-wide selection on de novo mutations.

Authors:  David Berger; Josefine Stångberg; Julian Baur; Richard J Walters
Journal:  Proc Biol Sci       Date:  2021-02-03       Impact factor: 5.349

7.  Resurrecting ancestral genes in bacteria to interpret ancient biosignatures.

Authors:  Betul Kacar; Lionel Guy; Eric Smith; John Baross
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-12-28       Impact factor: 4.226

8.  Evolution on the Biophysical Fitness Landscape of an RNA Virus.

Authors:  Assaf Rotem; Adrian W R Serohijos; Connie B Chang; Joshua T Wolfe; Audrey E Fischer; Thomas S Mehoke; Huidan Zhang; Ye Tao; W Lloyd Ung; Jeong-Mo Choi; João V Rodrigues; Abimbola O Kolawole; Stephan A Koehler; Susan Wu; Peter M Thielen; Naiwen Cui; Plamen A Demirev; Nicholas S Giacobbi; Timothy R Julian; Kellogg Schwab; Jeffrey S Lin; Thomas J Smith; James M Pipas; Christiane E Wobus; Andrew B Feldman; David A Weitz; Eugene I Shakhnovich
Journal:  Mol Biol Evol       Date:  2018-10-01       Impact factor: 16.240

9.  The Site-Specific Amino Acid Preferences of Homologous Proteins Depend on Sequence Divergence.

Authors:  Evandro Ferrada
Journal:  Genome Biol Evol       Date:  2019-01-01       Impact factor: 3.416

Review 10.  Protein ensembles link genotype to phenotype.

Authors:  Ruth Nussinov; Chung-Jung Tsai; Hyunbum Jang
Journal:  PLoS Comput Biol       Date:  2019-06-20       Impact factor: 4.475

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