title: Evolutionary self-organization in complex fluids.
abstract: This paper explores the ability of molecular evolution to take control of collective physical phases, making the first decisive step from independent replicators towards cell-like collective structures. We develop a physical model of replicating combinatorial molecules in a ternary fluid of hydrocarbons, amphiphiles and water. Such systems are being studied experimentally in various laboratories to approach the synthesis of artificial cells, and are also relevant to the origin of cellular life. The model represents amphiphiles by spins on a lattice (with Ising coupling in the simplest case), coupled to replicating molecules that may diffuse on the lattice and react with each other. The presence of the replicating molecules locally modulates the phases of the complex fluid, and the physical replication process and/or mobility of the replicating molecules is influenced by the local amphiphilic configuration through an energetic coupling. Consequently, the replicators can potentially modify their environment to enhance their own replication. Through this coupling, the system can associate hereditary properties, and the potential for autonomous evolution, to self-assembling mesoscale structures in the complex fluid. This opens a route to analyse the evolution of artificial cells. The models are studied using Monte Carlo simulation, and demonstrate the evolution of phase control. We achieve a unified combinatorial framework for the description of isotropic families of spin-lattice models of complex phases, opening up the physical study of their evolution.
authors.affiliation: BioMIP, Ruhr-University-Bochum c/o BMZ, Otto-Hahn-Strasse 15, 44227 Dortmund, Germany. John.mccaskill@biomip.rub.de
authors.forename: John S
authors.initials: JS
authors.lastname: McCaskill
authors.forename: Norman H
authors.initials: NH
authors.lastname: Packard
authors.forename: Steen
authors.initials: S
authors.lastname: Rasmussen
authors.forename: Mark A
authors.initials: MA
authors.lastname: Bedau
mesh_terms: D055592:Biophysical Phenomena; D001703:Biophysics; D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D019143:Evolution, Molecular; D046911:Macromolecular Substances; D008954:Models, Biological
chemical_list: D046911:Macromolecular Substances