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A latent capacity for evolutionary innovation through exaptation in metabolic systems

Author

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  • Aditya Barve

    (Institute of Evolutionary Biology and Environmental Sciences, Building Y27, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
    The Swiss Institute of Bioinformatics, Bioinformatics, Quartier Sorge, Bâtiment Genopode, 1015 Lausanne, Switzerland)

  • Andreas Wagner

    (Institute of Evolutionary Biology and Environmental Sciences, Building Y27, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
    The Swiss Institute of Bioinformatics, Bioinformatics, Quartier Sorge, Bâtiment Genopode, 1015 Lausanne, Switzerland
    The Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA)

Abstract

A computational analysis of the ability of a metabolic reaction network to synthesize all biomass from a single source of carbon and energy shows that when such networks are required to be viable on one particular carbon source, they are typically also viable on multiple other carbon sources that were not targets of selection.

Suggested Citation

  • Aditya Barve & Andreas Wagner, 2013. "A latent capacity for evolutionary innovation through exaptation in metabolic systems," Nature, Nature, vol. 500(7461), pages 203-206, August.
    • Handle: RePEc:nat:nature:v:500:y:2013:i:7461:d:10.1038_nature12301
    DOI: 10.1038/nature12301
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    Citations

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    Cited by:

    1. Andriani, Pierpaolo & Carignani, Giuseppe, 2014. "Modular exaptation: A missing link in the synthesis of artificial form," Research Policy, Elsevier, vol. 43(9), pages 1608-1620.
    2. Nicholas Leiby & Christopher J Marx, 2014. "Metabolic Erosion Primarily Through Mutation Accumulation, and Not Tradeoffs, Drives Limited Evolution of Substrate Specificity in Escherichia coli," PLOS Biology, Public Library of Science, vol. 12(2), pages 1-10, February.
    3. Rigato, Emanuele & Fusco, Giuseppe, 2020. "A heuristic model of the effects of phenotypic robustness in adaptive evolution," Theoretical Population Biology, Elsevier, vol. 136(C), pages 22-30.
    4. Alicia Sanchez-Gorostiaga & Djordje Bajić & Melisa L Osborne & Juan F Poyatos & Alvaro Sanchez, 2019. "High-order interactions distort the functional landscape of microbial consortia," PLOS Biology, Public Library of Science, vol. 17(12), pages 1-34, December.
    5. Miguel A Fortuna & Luis Zaman & Charles Ofria & Andreas Wagner, 2017. "The genotype-phenotype map of an evolving digital organism," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-20, February.

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