Literature DB >> 20866300

Spatial model of autocatalytic reactions.

Pietro de Anna1, Francesca Di Patti, Duccio Fanelli, Alan J McKane, Thierry Dauxois.   

Abstract

Biological cells with all of their surface structure and complex interior stripped away are essentially vesicles--membranes composed of lipid bilayers which form closed sacs. Vesicles are thought to be relevant as models of primitive protocells, and they could have provided the ideal environment for prebiotic reactions to occur. In this paper, we investigate the stochastic dynamics of a set of autocatalytic reactions, within a spatially bounded domain, so as to mimic a primordial cell. The discreteness of the constituents of the autocatalytic reactions gives rise to large sustained oscillations even when the number of constituents is quite large. These oscillations are spatiotemporal in nature, unlike those found in previous studies, which consisted only of temporal oscillations. We speculate that these oscillations may have a role in seeding membrane instabilities which lead to vesicle division. In this way synchronization could be achieved between protocell growth and the reproduction rate of the constituents (the protogenetic material) in simple protocells.

Entities:  

Year:  2010        PMID: 20866300     DOI: 10.1103/PhysRevE.81.056110

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

1.  Stochastic amplification of spatial modes in a system with one diffusing species.

Authors:  Laura Cantini; Claudia Cianci; Duccio Fanelli; Emma Massi; Luigi Barletti; Malbor Asllani
Journal:  J Math Biol       Date:  2013-12-14       Impact factor: 2.259

2.  The stochastic evolution of a protocell: the Gillespie algorithm in a dynamically varying volume.

Authors:  T Carletti; A Filisetti
Journal:  Comput Math Methods Med       Date:  2012-03-07       Impact factor: 2.238

3.  Emergent chemical behavior in variable-volume protocells.

Authors:  Ben Shirt-Ediss; Ricard V Solé; Kepa Ruiz-Mirazo
Journal:  Life (Basel)       Date:  2015-01-13

4.  The Linear Noise Approximation for Spatially Dependent Biochemical Networks.

Authors:  Per Lötstedt
Journal:  Bull Math Biol       Date:  2018-04-11       Impact factor: 1.758

  4 in total

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