Modelling Protocells

The Emergent Synchronization of Reproduction and Molecular Replication
1. Auflage 2017
ISBN: 978-94-024-1158-4
Verlag: Springer Netherlands

Buch, Englisch, 182 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 4262 g

Reihe: Understanding Complex Systems

The monograph discusses models of synthetic protocells, which are cell-like structures obtained from non-living matter endowed with some rudimentary kind of metabolism and genetics, but much simpler than biological cells. They should grow and proliferate, generating offsprings that resemble in some way the parent protocells with some variation, so that selection may take place. Sustainable protocell populations have not yet been obtained experimentally and mathematical models are therefore extremely important to address key questions concerning their synthesis and behavior. Different protocell “architectures” have been proposed and high-level abstract models like those that are presented in this book are particularly relevant to gain a better understanding of the different properites. These models are able to treat all the major dynamical phenomena in a unified framework, so they can be seen as “virtual laboratories” for protocell research. Particular attention is paid to the problem of synchronization of the fission rate of the whole protocell and the duplication rate of its "protogenetic" material, which is shown to be an emergent property that spontaneously develops in successive generations.
The book is of interest for a broad range of scientists working in soft matter physics, chemistry and biology, interested in the role protocells may play on the development of new technologies with medical, environmental and industrial applications as well as scientists interested in the origin of life.

Zielgruppe

Research

Autoren/Hrsg.

Villani, Marco

Serra, Roberto

Fachgebiete

• Naturwissenschaften Physik Thermodynamik Physik der weichen Materie
• Naturwissenschaften Biowissenschaften Biowissenschaften Evolutionsbiologie
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Naturwissenschaften Biowissenschaften Zellbiologie
• Naturwissenschaften Physik Angewandte Physik Biophysik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Naturwissenschaften Chemie Physikalische Chemie
• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biophysik

Inhaltsverzeichnis

Foreword.- Introduction.- About protocells.- Why modelling protocells.- Collective self-replication.- Self-replication in a vesicle.- Self-replication in a reproducing protocell.- Generic properties of dynamical models of protocells.- Introduction. -Generic properties of biological systems: data.- Generic properties of biological systems: concepts.- What shall we model.- Dynamical models of protocells and synchronization.- Simplified surface-reaction models of protocells.- Synchronization in surface reaction models.- Several linearly interacting replicators.- Several interacting replicators with nonlinear interactions.- Internal reaction models.- Models of self-replication.- Introduction.- Autocatalytic sets.- The properties of some replication models.- Products and substrates.- Reflexive autocatalytic food-generated (raf) sets.- A stochastic model of growing and dividing protocells.- Semipermeable protocells.- The role of active membranes.- The effects of passive membranes.- Coupled dynamics of rafs and protocells.- Maintaining novelties.-A comment on evolvable populations of protocells.- Conclusions, open questions and perspectives.- Introduction.- The hypothesis of spontaneous fission and synchronization.- The formation of self-sustaining autocatalytic cycles.- The role of membranes.- A virtual laboratory.

Über Autor(innen)

Roberto Serra is full professor of Complex Systems at the University of Modena and Reggio Emilia. He has previously been the Head of the Environmental Research Centre of the Montedison industrial group, the President of the Italian Association for Artificial Intelligence AI*IA and the Chairman of the Science Board of the European Centre for Living Technology. His main research interests, besides protocells, concern the dynamical modelling of Complex Systems, with applications to gene regulatory networks and cell differentiation, the analysis of their organization and the dynamical systems approach to Artificial Intelligence. He is the author or editor of eight books and of about 160 papers in international journals and conference proceedings with peer review.  
Marco Villani is associate professor of Computer Science at the University of Modena and Reggio Emilia and a fellow of the European Centre for Living Technology. His main research interests, besides protocells, concern the dynamical modelling of Complex Systems, with applications to gene regulatory networks and cell differentiation, the analysis of their organization and the simulation of social systems. He is the editor of three books and of about 100 papers in international journals and conference proceedings with peer review.