In this paper a new model of growing and dividing protocells is described, whose main features are (i) an autocatalytic set of “genetic memory molecules” (GMMs) whose reactions happen in a thin aqueous phase shell near the membrane and (ii) a lipid container that grows according to the amphiphilic production stimulated by the GMMs. Synchronization occur when the container growth rate is equal to the GMMs self-replicative one: the behavior of this model is compared with a previous version where reactions occur in the whole internal aqueous volume. Analytical results and simulations has shown that synchronization emerges in both models for the same set of kinetic equations, the main difference being only in the time scale of the process. Moreover the introduction of finite rates in the transmembrane diffusion permits the emergence of synchronization for a significantly wide set of parameters, enough to allow the protocell evolvability (defined as the capability of cumulating novelties, by maintaining the already present capabilities).

Synchronization in near-membrane reaction models of protocells / Calvanese, Giordano; Villani, Marco; Serra, Roberto. - 708:(2017), pp. 167-178. ( 11th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2016 ita 2016) [10.1007/978-3-319-57711-1_15].

Synchronization in near-membrane reaction models of protocells

VILLANI, Marco;SERRA, Roberto
2017

Abstract

In this paper a new model of growing and dividing protocells is described, whose main features are (i) an autocatalytic set of “genetic memory molecules” (GMMs) whose reactions happen in a thin aqueous phase shell near the membrane and (ii) a lipid container that grows according to the amphiphilic production stimulated by the GMMs. Synchronization occur when the container growth rate is equal to the GMMs self-replicative one: the behavior of this model is compared with a previous version where reactions occur in the whole internal aqueous volume. Analytical results and simulations has shown that synchronization emerges in both models for the same set of kinetic equations, the main difference being only in the time scale of the process. Moreover the introduction of finite rates in the transmembrane diffusion permits the emergence of synchronization for a significantly wide set of parameters, enough to allow the protocell evolvability (defined as the capability of cumulating novelties, by maintaining the already present capabilities).
2017
no
Inglese
11th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2016
ita
2016
Communications in Computer and Information Science
Rossi Federico; Piotto Stefano; Concilio Simona
708
167
178
9783319577104
Springer Verlag
SVIZZERA
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
Nazionale
Contributo
Computer Science (all)
Calvanese, Giordano; Villani, Marco; Serra, Roberto
Atti di CONVEGNO::Relazione in Atti di Convegno
273
3
Synchronization in near-membrane reaction models of protocells / Calvanese, Giordano; Villani, Marco; Serra, Roberto. - 708:(2017), pp. 167-178. ( 11th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2016 ita 2016) [10.1007/978-3-319-57711-1_15].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1135301
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