Literature DB >> 33205299

Richard Dickerson, Molecular Clocks, and Rates of Protein Evolution.

David Alvarez-Ponce1.   

Abstract

Proteins approximately behave as molecular clocks, accumulating amino acid replacements at a more or less constant rate. Nonetheless, each protein displays a characteristic rate of evolution: whereas some proteins remain largely unaltered over large periods of time, others can rapidly accumulate amino acid replacements. An article by Richard Dickerson, published in the first issue of the Journal of Molecular Evolution (J Mol Evol 1:26-45, 1971), described the first analysis in which the rates of evolution of many proteins were compared, and the differences were interpreted in the light of their function. When comparing the sequences of fibrinopeptides, hemoglobin, and cytochrome c of different species, he observed a linear relationship between the number of amino acid replacements and divergence time. Remarkably, fibrinopeptides had evolved fast, cytochrome c had evolved slowly, and hemoglobin exhibited an intermediate rate of evolution. As the Journal of Molecular Evolution celebrates its 50th anniversary, I highlight this landmark article and reflect on its impact on the field of Molecular Evolution.

Entities:  

Keywords:  Evolutionary rate; Molecular clock; Richard Dickerson

Year:  2020        PMID: 33205299     DOI: 10.1007/s00239-020-09973-x

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  34 in total

1.  Evolutionary rate heterogeneity in proteins with long disordered regions.

Authors:  Celeste J Brown; Sachiko Takayama; Andrew M Campen; Pam Vise; Thomas W Marshall; Christopher J Oldfield; Christopher J Williams; A Keith Dunker
Journal:  J Mol Evol       Date:  2002-07       Impact factor: 2.395

Review 2.  Genomic insights into positive selection.

Authors:  Shameek Biswas; Joshua M Akey
Journal:  Trends Genet       Date:  2006-06-30       Impact factor: 11.639

3.  Structural determinants of the rate of protein evolution in yeast.

Authors:  Jesse D Bloom; D Allan Drummond; Frances H Arnold; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2006-06-16       Impact factor: 16.240

4.  Protein stability promotes evolvability.

Authors:  Jesse D Bloom; Sy T Labthavikul; Christopher R Otey; Frances H Arnold
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-31       Impact factor: 11.205

Review 5.  Cumulative impact of chaperone-mediated folding on genome evolution.

Authors:  David Bogumil; Tal Dagan
Journal:  Biochemistry       Date:  2012-12-10       Impact factor: 3.162

6.  The structures of cytochrome c and the rates of molecular evolution.

Authors:  R E Dickerson
Journal:  J Mol Evol       Date:  1971       Impact factor: 2.395

7.  Ferricytochrome c. I. General features of the horse and bonito proteins at 2.8 A resolution.

Authors:  R E Dickerson; T Takano; D Eisenberg; O B Kallai; L Samson; A Cooper; E Margoliash
Journal:  J Biol Chem       Date:  1971-03-10       Impact factor: 5.157

8.  Molecular Chaperones Accelerate the Evolution of Their Protein Clients in Yeast.

Authors:  David Alvarez-Ponce; José Aguilar-Rodríguez; Mario A Fares
Journal:  Genome Biol Evol       Date:  2019-08-01       Impact factor: 3.416

9.  Essentiality Is a Strong Determinant of Protein Rates of Evolution during Mutation Accumulation Experiments in Escherichia coli.

Authors:  David Alvarez-Ponce; Beatriz Sabater-Muñoz; Christina Toft; Mario X Ruiz-González; Mario A Fares
Journal:  Genome Biol Evol       Date:  2016-09-26       Impact factor: 3.416

10.  Position Matters: Network Centrality Considerably Impacts Rates of Protein Evolution in the Human Protein-Protein Interaction Network.

Authors:  David Alvarez-Ponce; Felix Feyertag; Sandip Chakraborty
Journal:  Genome Biol Evol       Date:  2017-06-01       Impact factor: 3.416

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  1 in total

1.  ProteinEvolverABC: Coestimation of Recombination and Substitution Rates in Protein Sequences by approximate Bayesian computation.

Authors:  Miguel Arenas
Journal:  Bioinformatics       Date:  2021-08-27       Impact factor: 6.937

  1 in total

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