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Growth and Division in a Dynamic Protocell Model

In this paper a new model of growing and dividing protocells is described, whose main features are (i) a lipid container that grows according to the composition of the molecular milieu (ii) a set of “genetic memory molecules” (GMMs) that undergo catalytic reactions in the internal aqueous phase and...

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Autores principales: Villani, Marco, Filisetti, Alessandro, Graudenzi, Alex, Damiani, Chiara, Carletti, Timoteo, Serra, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4284470/
https://www.ncbi.nlm.nih.gov/pubmed/25479130
http://dx.doi.org/10.3390/life4040837
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author Villani, Marco
Filisetti, Alessandro
Graudenzi, Alex
Damiani, Chiara
Carletti, Timoteo
Serra, Roberto
author_facet Villani, Marco
Filisetti, Alessandro
Graudenzi, Alex
Damiani, Chiara
Carletti, Timoteo
Serra, Roberto
author_sort Villani, Marco
collection PubMed
description In this paper a new model of growing and dividing protocells is described, whose main features are (i) a lipid container that grows according to the composition of the molecular milieu (ii) a set of “genetic memory molecules” (GMMs) that undergo catalytic reactions in the internal aqueous phase and (iii) a set of stochastic kinetic equations for the GMMs. The mass exchange between the external environment and the internal phase is described by simulating a semipermeable membrane and a flow driven by the differences in chemical potentials, thereby avoiding to resort to sometimes misleading simplifications, e.g., that of a flow reactor. Under simple assumptions, it is shown that synchronization takes place between the rate of replication of the GMMs and that of the container, provided that the set of reactions hosts a so-called RAF (Reflexive Autocatalytic, Food-generated) set whose influence on synchronization is hereafter discussed. It is also shown that a slight modification of the basic model that takes into account a rate-limiting term, makes possible the growth of novelties, allowing in such a way suitable evolution: so the model represents an effective basis for understanding the main abstract properties of populations of protocells.
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spelling pubmed-42844702015-01-21 Growth and Division in a Dynamic Protocell Model Villani, Marco Filisetti, Alessandro Graudenzi, Alex Damiani, Chiara Carletti, Timoteo Serra, Roberto Life (Basel) Article In this paper a new model of growing and dividing protocells is described, whose main features are (i) a lipid container that grows according to the composition of the molecular milieu (ii) a set of “genetic memory molecules” (GMMs) that undergo catalytic reactions in the internal aqueous phase and (iii) a set of stochastic kinetic equations for the GMMs. The mass exchange between the external environment and the internal phase is described by simulating a semipermeable membrane and a flow driven by the differences in chemical potentials, thereby avoiding to resort to sometimes misleading simplifications, e.g., that of a flow reactor. Under simple assumptions, it is shown that synchronization takes place between the rate of replication of the GMMs and that of the container, provided that the set of reactions hosts a so-called RAF (Reflexive Autocatalytic, Food-generated) set whose influence on synchronization is hereafter discussed. It is also shown that a slight modification of the basic model that takes into account a rate-limiting term, makes possible the growth of novelties, allowing in such a way suitable evolution: so the model represents an effective basis for understanding the main abstract properties of populations of protocells. MDPI 2014-12-03 /pmc/articles/PMC4284470/ /pubmed/25479130 http://dx.doi.org/10.3390/life4040837 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Villani, Marco
Filisetti, Alessandro
Graudenzi, Alex
Damiani, Chiara
Carletti, Timoteo
Serra, Roberto
Growth and Division in a Dynamic Protocell Model
title Growth and Division in a Dynamic Protocell Model
title_full Growth and Division in a Dynamic Protocell Model
title_fullStr Growth and Division in a Dynamic Protocell Model
title_full_unstemmed Growth and Division in a Dynamic Protocell Model
title_short Growth and Division in a Dynamic Protocell Model
title_sort growth and division in a dynamic protocell model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4284470/
https://www.ncbi.nlm.nih.gov/pubmed/25479130
http://dx.doi.org/10.3390/life4040837
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