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Emergence of symbiosis in peptide self-replication through a hypercyclic network

Author

Listed:
  • David H. Lee

    (The Scripps Research Institute)

  • Kay Severin

    (The Scripps Research Institute)

  • Yohei Yokobayashi

    (The Scripps Research Institute)

  • M. Reza Ghadiri

    (The Scripps Research Institute)

Abstract

Symbiosis is an association between different organisms that leads to a reciprocal enhancement of their ability to survive. Similar mutually beneficial relationships can operate at the molecular level in the form of a hypercycle, a collective of two or more self-replicating species interlinked through a cyclic catalytic network1,2,3,4,5. The superposition of cross-catalysis onto autocatalytic replication integrates the members of the hypercycle into a single system that reproduces through a second-order (or higher) form of nonlinear autocatalysis. The hypercycle population as a whole is therefore able to compete more efficiently for existing resources than any one member on its own. In addition, the effects of beneficial mutations of any one member are spread over the entire population. The formation of hypercycles has been suggested as an important step in the transition from inanimate to living chemistry6 , and a large number of hypercycles are expected to be embedded within the complex networks of living systems7. But only one naturally occurring hypercycle has been well documented8, while two autocatalytic chemical systems may contain vestiges of hypercyclic organization9,10. Here we report a chemical system that constitutes a clear example of a minimal hypercyclic network, in which two otherwise competitive self-replicating peptides symbiotically catalyse each others' production.

Suggested Citation

  • David H. Lee & Kay Severin & Yohei Yokobayashi & M. Reza Ghadiri, 1997. "Emergence of symbiosis in peptide self-replication through a hypercyclic network," Nature, Nature, vol. 390(6660), pages 591-594, December.
  • Handle: RePEc:nat:nature:v:390:y:1997:i:6660:d:10.1038_37569
    DOI: 10.1038/37569
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    Cited by:

    1. Sardanyés, Josep, 2008. "Error threshold ghosts in a simple hypercycle with error prone self-replication," Chaos, Solitons & Fractals, Elsevier, vol. 35(2), pages 313-319.
    2. Sardanyés, Josep & Solé, Ricard V., 2007. "The role of cooperation and parasites in non-linear replicator delayed extinctions," Chaos, Solitons & Fractals, Elsevier, vol. 31(5), pages 1279-1296.
    3. Sardanyés, Josep, 2009. "Ghosts in high dimensional non-linear dynamical systems: The example of the hypercycle," Chaos, Solitons & Fractals, Elsevier, vol. 39(1), pages 92-100.
    4. Fontich, Ernest & Sardanyés, Josep, 2009. "Dynamical role of the degree of intraspecific cooperation: A simple model for prebiotic replicators and ecosystems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(9), pages 1867-1878.
    5. Desire T. Gijima & Enrique Peacock-López, 2020. "A Dynamic Study of Biochemical Self-Replication," Mathematics, MDPI, vol. 8(6), pages 1-17, June.
    6. Bärbel M.R. Stadler & Peter F. Stadler & Peter Schuster, 1999. "Dynamics of Autocatalytic Replicator Networks Based on Higher Order Ligation Reactions," Working Papers 99-09-065, Santa Fe Institute.

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