Minimal model of self-replicating nanocells: a physically embodied information-free scenario

The building of minimal self-reproducing systems with a physical embodiment (generically called protocells) is a great challenge, with implications for both theory and applied sciences. Although the classical view of a living protocell assumes that it includes information-carrying molecules as an essential ingredient, a dividing cell-like structure can be built from a metabolism–container coupled system only. An example of such a system, modelled with dissipative particle dynamics, is presented here. This article demonstrates how a simple coupling between a precursor molecule and surfactant molecules forming micelles can experience a growth-division cycle in a predictable manner, and analyses the influence of crucial parameters on this replication cycle. Implications of these results for origins of cellular life and living technology are outlined.

[1]  Takashi Ikegami,et al.  Model of Self-Replicating Cell Capable of Self-Maintenance , 1999, ECAL.

[2]  Håkan Wennerström,et al.  The Colloidal Domain: Where Physics, Chemistry, Biology and Technology Meet , 1994 .

[3]  R. D. Groot Mesoscopic Simulation of Polymer−Surfactant Aggregation , 2000 .

[4]  Martin Nilsson,et al.  Bridging Nonliving and Living Matter , 2003, Artificial Life.

[5]  P. Español,et al.  Statistical Mechanics of Dissipative Particle Dynamics. , 1995 .

[6]  Günter von Kiedrowski,et al.  A Self‐Replicating Hexadeoxynucleotide , 1986 .

[7]  I. Pagonabarraga,et al.  Dissipative particle dynamics for interacting systems , 2001, cond-mat/0105075.

[8]  Pier Luigi Luisi,et al.  Autocatalytic self-replicating micelles as models for prebiotic structures , 1992, Nature.

[9]  K. Binder,et al.  Monte Carlo Simulation in Statistical Physics , 1992, Graduate Texts in Physics.

[10]  W. Wieser The major transitions in evolution: what has driven them? A reply to Jermy , 1998 .

[11]  D. Bartel,et al.  Synthesizing life : Paths to unforeseeable science & technology , 2001 .

[12]  S. Hyodo,et al.  Dissipative particle dynamics study of spontaneous vesicle formation of amphiphilic molecules , 2002 .

[13]  D. Heermann Computer Simulation Methods in Theoretical Physics , 1986 .

[14]  P. B. Warren,et al.  DISSIPATIVE PARTICLE DYNAMICS : BRIDGING THE GAP BETWEEN ATOMISTIC AND MESOSCOPIC SIMULATION , 1997 .

[15]  Berend Smit,et al.  Simulating the self-assembly of model membranes , 1999 .

[16]  WHEN DARWIN,et al.  The Origin of Life , 2019, Rethinking Evolution.

[17]  Irene A Chen,et al.  A kinetic study of the growth of fatty acid vesicles. , 2004, Biophysical journal.

[18]  E. M.,et al.  Statistical Mechanics , 2021, Manual for Theoretical Chemistry.

[19]  J. D. Bernal,et al.  “The Origins of Life” , 1957, Nature.

[20]  Dietrich Stauffer,et al.  Computer Simulation Methods , 2005 .

[21]  Kroeger,et al.  Wormlike micelles under shear flow: A microscopic model studied by nonequilibrium-molecular-dynamics computer simulations. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[22]  Julius Rebek,et al.  Self-replicating system , 1990 .

[23]  Eörs Szathmáry,et al.  The Major Transitions in Evolution , 1997 .

[24]  Takashi Ikegami,et al.  Artificial Chemistry: Computational Studies on the Emergence of Self-Reproducing Units , 2001, ECAL.

[25]  D. Bartel,et al.  Synthesizing life , 2001, Nature.

[26]  J. Koelman,et al.  Simulating microscopic hydrodynamic phenomena with dissipative particle dynamics , 1992 .

[27]  Satoru Yamamoto,et al.  Budding and fission dynamics of two-component vesicles , 2003 .