Graded autocatalysis replication domain (GARD): kinetic analysis of self-replication in mutually catalytic sets

Daniel Segré; Doron Lancet; Ora Kedem; Yitzhak Pilpel

doi:10.1023/a:1006583712886

Graded autocatalysis replication domain (GARD): kinetic analysis of self-replication in mutually catalytic sets

Daniel Segré
, Doron Lancet
, Ora Kedem
, Yitzhak Pilpel

Research output: Contribution to journal › Article › peer-review

100 Scopus citations

Abstract

A Graded Autocatalysis Replication Domain (GARD) model is proposed, which provides a rigorous kinetic analysis of simple chemical sets that manifest mutual catalysis. It is shown that catalytic closure can sustain self-replication up to a critical dilution rate, λ_c, related to the graded extent of mutual catalysis. We explore the behaviour of vesicles containing GARD species whose mutual catalysis is governed by a previously published statistical distribution. In the population thus generated, some GARD vesicles display a significantly higher replication efficiency than most others. GARD thus represents a simple model for primordial chemical selection of mutually catalytic sets.

Original language	English
Pages (from-to)	501-514
Number of pages	14
Journal	Origins of Life and Evolution of Biospheres
Volume	28
Issue number	4-6
DOIs	https://doi.org/10.1023/a:1006583712886
State	Published - 1 Jan 1998
Externally published	Yes

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics
Space and Planetary Science

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abstract = "A Graded Autocatalysis Replication Domain (GARD) model is proposed, which provides a rigorous kinetic analysis of simple chemical sets that manifest mutual catalysis. It is shown that catalytic closure can sustain self-replication up to a critical dilution rate, λc, related to the graded extent of mutual catalysis. We explore the behaviour of vesicles containing GARD species whose mutual catalysis is governed by a previously published statistical distribution. In the population thus generated, some GARD vesicles display a significantly higher replication efficiency than most others. GARD thus represents a simple model for primordial chemical selection of mutually catalytic sets.",

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AU - Kedem, Ora

AU - Pilpel, Yitzhak

PY - 1998/1/1

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AB - A Graded Autocatalysis Replication Domain (GARD) model is proposed, which provides a rigorous kinetic analysis of simple chemical sets that manifest mutual catalysis. It is shown that catalytic closure can sustain self-replication up to a critical dilution rate, λc, related to the graded extent of mutual catalysis. We explore the behaviour of vesicles containing GARD species whose mutual catalysis is governed by a previously published statistical distribution. In the population thus generated, some GARD vesicles display a significantly higher replication efficiency than most others. GARD thus represents a simple model for primordial chemical selection of mutually catalytic sets.

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JF - Origins of Life and Evolution of Biospheres

IS - 4-6

ER -

Graded autocatalysis replication domain (GARD): kinetic analysis of self-replication in mutually catalytic sets

Abstract

ASJC Scopus subject areas

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