Literature DB >> 23466559

Long-term evolution is surprisingly predictable in lattice proteins.

Michael E Palmer1, Arnav Moudgil, Marcus W Feldman.   

Abstract

It has long been debated whether natural selection acts primarily upon individual organisms, or whether it also commonly acts upon higher-level entities such as lineages. Two arguments against the effectiveness of long-term selection on lineages have been (i) that long-term evolutionary outcomes will not be sufficiently predictable to support a meaningful long-term fitness and (ii) that short-term selection on organisms will almost always overpower long-term selection. Here, we use a computational model of protein folding and binding called 'lattice proteins'. We quantify the long-term evolutionary success of lineages with two metrics called the k-fitness and k-survivability. We show that long-term outcomes are surprisingly predictable in this model: only a small fraction of the possible outcomes are ever realized in multiple replicates. Furthermore, the long-term fitness of a lineage depends only partly on its short-term fitness; other factors are also important, including the 'evolvability' of a lineage-its capacity to produce adaptive variation. In a system with a distinct short-term and long-term fitness, evolution need not be 'short-sighted': lineages may be selected for their long-term properties, sometimes in opposition to short-term selection. Similar evolutionary basins of attraction have been observed in vivo, suggesting that natural biological lineages will also have a predictive long-term fitness.

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Year:  2013        PMID: 23466559      PMCID: PMC3627087          DOI: 10.1098/rsif.2013.0026

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  23 in total

1.  Stability and the evolvability of function in a model protein.

Authors:  Jesse D Bloom; Claus O Wilke; Frances H Arnold; Christoph Adami
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

2.  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

3.  Darwinian evolution can follow only very few mutational paths to fitter proteins.

Authors:  Daniel M Weinreich; Nigel F Delaney; Mark A Depristo; Daniel L Hartl
Journal:  Science       Date:  2006-04-07       Impact factor: 47.728

4.  Thermodynamics of neutral protein evolution.

Authors:  Jesse D Bloom; Alpan Raval; Claus O Wilke
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

5.  Pleiotropic mutation, modularity and evolvability.

Authors:  Cortland K Griswold
Journal:  Evol Dev       Date:  2006 Jan-Feb       Impact factor: 1.930

6.  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

7.  Comparing evolvability and variability of quantitative traits.

Authors:  D Houle
Journal:  Genetics       Date:  1992-01       Impact factor: 4.562

Review 8.  Evolvability.

Authors:  M Kirschner; J Gerhart
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-21       Impact factor: 11.205

Review 9.  Principles of protein folding--a perspective from simple exact models.

Authors:  K A Dill; S Bromberg; K Yue; K M Fiebig; D P Yee; P D Thomas; H S Chan
Journal:  Protein Sci       Date:  1995-04       Impact factor: 6.725

10.  The mutation matrix and the evolution of evolvability.

Authors:  Adam G Jones; Stevan J Arnold; Reinhard Bürger
Journal:  Evolution       Date:  2007-04       Impact factor: 3.694

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  4 in total

1.  Biophysics of protein evolution and evolutionary protein biophysics.

Authors:  Tobias Sikosek; Hue Sun Chan
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

Review 2.  Empirical fitness landscapes and the predictability of evolution.

Authors:  J Arjan G M de Visser; Joachim Krug
Journal:  Nat Rev Genet       Date:  2014-06-10       Impact factor: 53.242

3.  A Family of Fitness Landscapes Modeled through Gene Regulatory Networks.

Authors:  Chia-Hung Yang; Samuel V Scarpino
Journal:  Entropy (Basel)       Date:  2022-04-29       Impact factor: 2.738

4.  Evolutionary basins of attraction and convergence in plants and animals.

Authors:  John Gardiner
Journal:  Commun Integr Biol       Date:  2013-10-11
  4 in total

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