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Epistasis as the primary factor in molecular evolution

Author

Listed:
  • Michael S. Breen

    (Bioinformatics and Genomics Programme, Centre for Genomic Regulation and Universitat Pompeu Fabra, 88 Dr Aiguader, Barcelona 08003, Spain)

  • Carsten Kemena

    (Bioinformatics and Genomics Programme, Centre for Genomic Regulation and Universitat Pompeu Fabra, 88 Dr Aiguader, Barcelona 08003, Spain)

  • Peter K. Vlasov

    (Bioinformatics and Genomics Programme, Centre for Genomic Regulation and Universitat Pompeu Fabra, 88 Dr Aiguader, Barcelona 08003, Spain)

  • Cedric Notredame

    (Bioinformatics and Genomics Programme, Centre for Genomic Regulation and Universitat Pompeu Fabra, 88 Dr Aiguader, Barcelona 08003, Spain)

  • Fyodor A. Kondrashov

    (Bioinformatics and Genomics Programme, Centre for Genomic Regulation and Universitat Pompeu Fabra, 88 Dr Aiguader, Barcelona 08003, Spain
    Institució Catalana de Recerca i Estudis Avançats (ICREA), 23 Passeig Lluís Companys)

Abstract

A comparison of more than 1,000 orthologues of diverse proteins shows that the rate of amino-acid substitution in recent evolution is an order of magnitude lower than that expected in the absence of epistasis, indicating that epistasis is pervasive throughout protein evolution.

Suggested Citation

  • Michael S. Breen & Carsten Kemena & Peter K. Vlasov & Cedric Notredame & Fyodor A. Kondrashov, 2012. "Epistasis as the primary factor in molecular evolution," Nature, Nature, vol. 490(7421), pages 535-538, October.
    • Handle: RePEc:nat:nature:v:490:y:2012:i:7421:d:10.1038_nature11510
    DOI: 10.1038/nature11510
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    Cited by:

    1. Iktae Kim & Alyssa Dubrow & Bryan Zuniga & Baoyu Zhao & Noah Sherer & Abhishek Bastiray & Pingwei Li & Jae-Hyun Cho, 2022. "Energy landscape reshaped by strain-specific mutations underlies epistasis in NS1 evolution of influenza A virus," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Anne-Florence Bitbol & David J Schwab, 2014. "Quantifying the Role of Population Subdivision in Evolution on Rugged Fitness Landscapes," PLOS Computational Biology, Public Library of Science, vol. 10(8), pages 1-15, August.
    3. Zachary R Sailer & Sarah H Shafik & Robert L Summers & Alex Joule & Alice Patterson-Robert & Rowena E Martin & Michael J Harms, 2020. "Inferring a complete genotype-phenotype map from a small number of measured phenotypes," PLOS Computational Biology, Public Library of Science, vol. 16(9), pages 1-27, September.
    4. Lucile Vigué & Giancarlo Croce & Marie Petitjean & Etienne Ruppé & Olivier Tenaillon & Martin Weigt, 2022. "Deciphering polymorphism in 61,157 Escherichia coli genomes via epistatic sequence landscapes," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    5. Federica Luppino & Ivan A. Adzhubei & Christopher A. Cassa & Agnes Toth-Petroczy, 2023. "DeMAG predicts the effects of variants in clinically actionable genes by integrating structural and evolutionary epistatic features," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    6. Jonathan Yaacov Weinstein & Carlos Martí-Gómez & Rosalie Lipsh-Sokolik & Shlomo Yakir Hoch & Demian Liebermann & Reinat Nevo & Haim Weissman & Ekaterina Petrovich-Kopitman & David Margulies & Dmitry I, 2023. "Designed active-site library reveals thousands of functional GFP variants," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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