Skip to main content

Dynamical Systems Analysis of a Protocell Lipid Compartment

  • Conference paper
Advances in Artificial Life. Darwin Meets von Neumann (ECAL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5777))

Included in the following conference series:

  • 1254 Accesses

Abstract

This paper develops phase portraits explaining the dynamic behaviour of the lipid compartment in a recently proposed stochastic protocell model. The protocell model is being used to investigate - in a bottom-up way - the possible roots of cellular autonomy, and the lipid compartment sub-system plays an integral part in determining the cellular dynamic. Whilst motivation is to ground the early model simulation results, the analysis here also reveals an interesting finding: simple addition of an ’osmotic buffer’ to the lipid compartment not only widens it’s range of stability, but also causes a profound change in the deep dynamical structure of the whole cellular system. Relevant to the origins of life, this bifurcation increases the robustness of the compartment to perturbation and instantly grants a richer behavioural repertoire including more reliable divide cycles.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Blundell, B.J.: Forging the Road Toward Autonomy: Explorations with a Stochastic Protocell Model. Unpublished MSc thesis. University of Sussex, Brighton (2009)

    Google Scholar 

  2. Gillespie, D.T.: A general method for numerically simulating the stochastic time evolution of coupled chemical reactions. Journal of Computational Physics 22(4), 403–434 (1976)

    Article  Google Scholar 

  3. Gillespie, D.T.: Stochastic Simulation of Chemical Kinetics. Annu. Rev. Phys. Chem. 58, 35–55 (2007)

    Article  Google Scholar 

  4. Mavelli, F., Ruiz-Mirazo, K.: Stochastic simulations of minimal self-reproducing cellular systems. Philosophical Transactions of the Royal Society B 362, 1789–1802 (2007)

    Article  Google Scholar 

  5. Mavelli, F., Ruiz-Mirazo, K.: ENVIRONMENT: a computational platform to stochastically simulation reacting and self-reproduction lipid compartments. Physical biology 7(3), 036002 (January 2010), http://www.ncbi.nlm.nih.gov/pubmed/20702920 doi:10.1088/1478-3975/7/3/036002, ISSN 1478-3975

    Article  Google Scholar 

  6. Ruiz-Mirazo, K., Mavelli, F.: Simulation model for functionalized vesicles: Lipid-peptide integration in minimal protocells. In: Almeida e Costa, F., Rocha, L.M., Costa, E., Harvey, I., Coutinho, A. (eds.) ECAL 2007. LNCS (LNAI), vol. 4648, pp. 32–41. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  7. Ruiz-Mirazo, K., Mavelli, F.: On the way towards ’basic autonomous agents’: Stochastic simulations of minimal lipid-peptide cells. BioSystems 91, 374–387 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shirt-Ediss, B. (2011). Dynamical Systems Analysis of a Protocell Lipid Compartment. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21283-3_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21283-3_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21282-6

  • Online ISBN: 978-3-642-21283-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics