Lack of evolvability in self-sustaining autocatalytic networks constraints metabolism-first scenarios for the origin of life

Edited by Gerald F. Joyce, The Scripps Research Institute, La Jolla, CA, and approved December 3, 2009 (received for review November 3, 2009)
January 4, 2010
107 (4) 1470-1475

Abstract

A basic property of life is its capacity to experience Darwinian evolution. The replicator concept is at the core of genetics-first theories of the origin of life, which suggest that self-replicating oligonucleotides or their similar ancestors may have been the first “living” systems and may have led to the evolution of an RNA world. But problems with the nonenzymatic synthesis of biopolymers and the origin of template replication have spurred the alternative metabolism-first scenario, where self-reproducing and evolving proto-metabolic networks are assumed to have predated self-replicating genes. Recent theoretical work shows that “compositional genomes” (i.e., the counts of different molecular species in an assembly) are able to propagate compositional information and can provide a setup on which natural selection acts. Accordingly, if we stick to the notion of replicator as an entity that passes on its structure largely intact in successive replications, those macromolecular aggregates could be dubbed “ensemble replicators” (composomes) and quite different from the more familiar genes and memes. In sharp contrast with template-dependent replication dynamics, we demonstrate here that replication of compositional information is so inaccurate that fitter compositional genomes cannot be maintained by selection and, therefore, the system lacks evolvability (i.e., it cannot substantially depart from the asymptotic steady-state solution already built-in in the dynamical equations). We conclude that this fundamental limitation of ensemble replicators cautions against metabolism-first theories of the origin of life, although ancient metabolic systems could have provided a stable habitat within which polymer replicators later evolved.

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Acknowledgments

We thank Doron Lancet and his group for several clarifications on the GARD model, and three anonymous reviewers for constructive comments. V.V. and E.S. are supported by the National Office for Research and Technology (NAP 2005/KCKHA005) and by the National Scientific Research Fund (OTKA 73047). M.S. is supported by grants CGL2009-12912-C03-01 from the Ministerio de Ciencia e Innovación, and 2009SGR 636 from Generalitat de Catalunya to the Grup de Biologia Evolutiva. E.S. and M.S. are supported by funding from the Integrating Cooperation Research Across Europe Project under the Sixth Research Framework Programme of the European Union. The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under Grant Agreement 225167. Support by the COST D27 action (prebiotic chemistry and early evolution), COST CM0703 (systems chemistry), and Edward Teller Program (NAP2) are also gratefully acknowledged.

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Information & Authors

Information

Published in

The cover image for PNAS Vol.107; No.4
Proceedings of the National Academy of Sciences
Vol. 107 | No. 4
January 26, 2010
PubMed: 20080693

Classifications

Submission history

Published online: January 4, 2010
Published in issue: January 26, 2010

Keywords

  1. autocatalysis
  2. graded autocatalysis replication domain model
  3. units of evolution

Acknowledgments

We thank Doron Lancet and his group for several clarifications on the GARD model, and three anonymous reviewers for constructive comments. V.V. and E.S. are supported by the National Office for Research and Technology (NAP 2005/KCKHA005) and by the National Scientific Research Fund (OTKA 73047). M.S. is supported by grants CGL2009-12912-C03-01 from the Ministerio de Ciencia e Innovación, and 2009SGR 636 from Generalitat de Catalunya to the Grup de Biologia Evolutiva. E.S. and M.S. are supported by funding from the Integrating Cooperation Research Across Europe Project under the Sixth Research Framework Programme of the European Union. The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under Grant Agreement 225167. Support by the COST D27 action (prebiotic chemistry and early evolution), COST CM0703 (systems chemistry), and Edward Teller Program (NAP2) are also gratefully acknowledged.

Notes

This article is a PNAS Direct Submission.

Authors

Affiliations

Vera Vasas
Collegium Budapest, Institute for Advanced Study, H-1014 Budapest, Hungary;
Institute of Biology, Eötvös University, H-1117 Budapest, Hungary;
Eörs Szathmáry1 [email protected]
Collegium Budapest, Institute for Advanced Study, H-1014 Budapest, Hungary;
Institute of Biology, Eötvös University, H-1117 Budapest, Hungary;
Parmenides Center for the Study of Thinking, Munich D-80333, Germany; and
Mauro Santos
Collegium Budapest, Institute for Advanced Study, H-1014 Budapest, Hungary;
Departament de Genètica i de Microbiologia, Grup de Biologia Evolutiva, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain

Notes

1
To whom correspondence should be addressed. E-mail: [email protected].
Author contributions: V.V., E.S., and M.S. designed research; V.V., E.S., and M.S. performed research; V.V. and M.S. analyzed data; and V.V., E.S., and M.S. wrote the paper.

Competing Interests

The authors declare no conflict of interest.

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    Lack of evolvability in self-sustaining autocatalytic networks constraints metabolism-first scenarios for the origin of life
    Proceedings of the National Academy of Sciences
    • Vol. 107
    • No. 4
    • pp. 1255-1690

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