Literature DB >> 12779576

Metabolic network dynamics in open chaotic flow.

Gyorgy Karolyi1, Istvan Scheuring, Tamas Czaran.   

Abstract

We have analyzed the dynamics of metabolically coupled replicators in open chaotic flows. Replicators contribute to a common metabolism producing energy-rich monomers necessary for replication. The flow and the biological processes take place on a rectangular grid. There can be at most one molecule on each grid cell, and replication can occur only at localities where all the necessary replicators (metabolic enzymes) are present within a certain neighborhood distance. Due to this finite metabolic neighborhood size and imperfect mixing along the fractal filaments produced by the flow, replicators can coexist in this fluid system, even though coexistence is impossible in the mean-field approximation of the model. We have shown numerically that coexistence mainly depends on the metabolic neighborhood size, the kinetic parameters, and the number of replicators coupled through metabolism. Selfish parasite replicators cannot destroy the system of coexisting metabolic replicators, but they frequently remain persistent in the system. (c) 2002 American Institute of Physics.

Year:  2002        PMID: 12779576     DOI: 10.1063/1.1457468

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  4 in total

Review 1.  Spatial models of prebiotic evolution: soup before pizza?

Authors:  István Scheuring; Tamás Czárán; Péter Szabó; György Károlyi; Zoltán Toroczkai
Journal:  Orig Life Evol Biosph       Date:  2003-10       Impact factor: 1.950

2.  Template directed replication supports the maintenance of the metabolically coupled replicator system.

Authors:  Balázs Könnyű; Tamás Czárán
Journal:  Orig Life Evol Biosph       Date:  2015-03-11       Impact factor: 1.950

Review 3.  Ecology and Evolution in the RNA World Dynamics and Stability of Prebiotic Replicator Systems.

Authors:  András Szilágyi; István Zachar; István Scheuring; Ádám Kun; Balázs Könnyű; Tamás Czárán
Journal:  Life (Basel)       Date:  2017-11-27

4.  Dynamics and stability in prebiotic information integration: an RNA World model from first principles.

Authors:  András Szilágyi; Balázs Könnyű; Tamás Czárán
Journal:  Sci Rep       Date:  2020-01-09       Impact factor: 4.996

  4 in total

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