Literature DB >> 21119763

Robustness versus evolvability: a paradigm revisited.

Erich Bornberg-Bauer, Linus Kramer.   

Abstract

Evolvability is the property of a biological system to quickly adapt to new requirements. Robustness seems to be the opposite. Nonetheless many biological systems display both properties-a puzzling observation, which has caused many debates over the last decades. A recently published model by Draghi et al. [Nature 463, 353-355 (2010)] elegantly circumvents complications of earlier in silico studies of molecular systems and provides an analytical solution, which is surprisingly independent from parameter choice. Depending on the mutation rate and the number of accessible phenotypes at any given genotype, evolvability and robustness can be reconciled. Further research will need to investigate if these parameter settings adequately represent the range of degrees of freedom covered by natural systems and if natural systems indeed assume a state in which both properties, robustness and evolvability, are featured.

Year:  2010        PMID: 21119763      PMCID: PMC2929628          DOI: 10.2976/1.3404403

Source DB:  PubMed          Journal:  HFSP J        ISSN: 1955-205X


  16 in total

1.  Neutral evolution of mutational robustness.

Authors:  E van Nimwegen; J P Crutchfield; M Huynen
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-17       Impact factor: 11.205

2.  Modeling evolutionary landscapes: mutational stability, topology, and superfunnels in sequence space.

Authors:  E Bornberg-Bauer; H S Chan
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-14       Impact factor: 11.205

3.  Why are proteins so robust to site mutations?

Authors:  Darin M Taverna; Richard A Goldstein
Journal:  J Mol Biol       Date:  2002-01-18       Impact factor: 5.469

4.  Evolution of digital organisms at high mutation rates leads to survival of the flattest.

Authors:  C O Wilke; J L Wang; C Ofria; R E Lenski; C Adami
Journal:  Nature       Date:  2001-07-19       Impact factor: 49.962

5.  Network motifs: simple building blocks of complex networks.

Authors:  R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

6.  A natural class of robust networks.

Authors:  Maximino Aldana; Philippe Cluzel
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-09       Impact factor: 11.205

7.  A structural model of latent evolutionary potentials underlying neutral networks in proteins.

Authors:  Richard Wroe; Hue Sun Chan; Erich Bornberg-Bauer
Journal:  HFSP J       Date:  2007-05-21

8.  Intraspecific polymorphism to interspecific divergence: genetics of pigmentation in Drosophila.

Authors:  Patricia J Wittkopp; Emma E Stewart; Lisa L Arnold; Adam H Neidert; Belinda K Haerum; Elizabeth M Thompson; Saleh Akhras; Gabriel Smith-Winberry; Laura Shefner
Journal:  Science       Date:  2009-10-23       Impact factor: 47.728

9.  From sequences to shapes and back: a case study in RNA secondary structures.

Authors:  P Schuster; W Fontana; P F Stadler; I L Hofacker
Journal:  Proc Biol Sci       Date:  1994-03-22       Impact factor: 5.349

10.  Continuity in evolution: on the nature of transitions.

Authors:  W Fontana; P Schuster
Journal:  Science       Date:  1998-05-29       Impact factor: 47.728

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  5 in total

1.  A nonadaptive origin of a beneficial trait: in silico selection for free energy of folding leads to the neutral emergence of mutational robustness in single domain proteins.

Authors:  Rafael F Pagan; Steven E Massey
Journal:  J Mol Evol       Date:  2013-12-21       Impact factor: 2.395

2.  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

3.  ncDNA and drift drive binding site accumulation.

Authors:  Troy Ruths; Luay Nakhleh
Journal:  BMC Evol Biol       Date:  2012-08-30       Impact factor: 3.260

4.  Critical mutation rate has an exponential dependence on population size in haploid and diploid populations.

Authors:  Elizabeth Aston; Alastair Channon; Charles Day; Christopher G Knight
Journal:  PLoS One       Date:  2013-12-27       Impact factor: 3.240

5.  Robustness and evolvability of the human signaling network.

Authors:  Junil Kim; Drieke Vandamme; Jeong-Rae Kim; Amaya Garcia Munoz; Walter Kolch; Kwang-Hyun Cho
Journal:  PLoS Comput Biol       Date:  2014-07-31       Impact factor: 4.475

  5 in total

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