Literature DB >> 18671983

Sufficient conditions for emergent synchronization in protocell models.

T Carletti1, R Serra, I Poli, M Villani, A Filisetti.   

Abstract

In this paper, we study general protocell models aiming to understand the synchronization phenomenon of genetic material and container productions, a necessary condition to ensure sustainable growth in protocells and eventually leading to Darwinian evolution when applied to a population of protocells. Synchronization has been proved to be an emergent property in many relevant protocell models in the class of the so-called surface reaction models, assuming both linear- and non-linear dynamics for the involved chemical reactions. We here extend this analysis by introducing and studying a new class of models where the relevant chemical reactions are assumed to occur inside the protocell, in contrast with the former model where the reaction site was the external surface. While in our previous studies, the replicators were assumed to compete for resources, without any direct interaction among them, we here improve both models by allowing linear interaction between replicators: catalysis and/or inhibition. Extending some techniques previously introduced, we are able to give a quite general analytical answer about the synchronization phenomenon in this more general context. We also report on results of numerical simulations to support the theory, where applicable, and allow the investigation of cases which are not amenable to analytical calculations.

Mesh:

Year:  2008        PMID: 18671983     DOI: 10.1016/j.jtbi.2008.07.008

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  8 in total

1.  A stochastic model of autocatalytic reaction networks.

Authors:  Alessandro Filisetti; Alex Graudenzi; Roberto Serra; Marco Villani; Rudolf M Füchslin; Norman Packard; Stuart A Kauffman; Irene Poli
Journal:  Theory Biosci       Date:  2011-10-07       Impact factor: 1.919

Review 2.  Generating minimal living systems from non-living materials and increasing their evolutionary abilities.

Authors:  Steen Rasmussen; Adi Constantinescu; Carsten Svaneborg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-08-19       Impact factor: 6.237

3.  The origin of large molecules in primordial autocatalytic reaction networks.

Authors:  Varun Giri; Sanjay Jain
Journal:  PLoS One       Date:  2012-01-04       Impact factor: 3.240

4.  The stochastic evolution of a protocell: the Gillespie algorithm in a dynamically varying volume.

Authors:  T Carletti; A Filisetti
Journal:  Comput Math Methods Med       Date:  2012-03-07       Impact factor: 2.238

5.  Compartmentalization and Cell Division through Molecular Discreteness and Crowding in a Catalytic Reaction Network.

Authors:  Atsushi Kamimura; Kunihiko Kaneko
Journal:  Life (Basel)       Date:  2014-10-29

6.  Growth and division in a dynamic protocell model.

Authors:  Marco Villani; Alessandro Filisetti; Alex Graudenzi; Chiara Damiani; Timoteo Carletti; Roberto Serra
Journal:  Life (Basel)       Date:  2014-12-03

7.  Population Dynamics of Autocatalytic Sets in a Compartmentalized Spatial World.

Authors:  Wim Hordijk; Jonathan Naylor; Natalio Krasnogor; Harold Fellermann
Journal:  Life (Basel)       Date:  2018-08-18

8.  Sustainable Growth and Synchronization in Protocell Models.

Authors:  Roberto Serra; Marco Villani
Journal:  Life (Basel)       Date:  2019-08-21
  8 in total

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