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CelloS: A Multi-level Approach to Evolutionary Dynamics

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Advances in Artificial Life (ECAL 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3630))

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Abstract

We study the evolution of simple cells equipped with a genome, a rudimentary gene regulation network at transcription level and two classes of functional genes: motion effectors which allow the cell to move in response to nutrient gradients and nutrient importers required to actually feed from the environment. The model is inspired by the protist Naegleria gruberi which can switch between a feeding and dividing amoeboid state and a mobile flagellate state depending on environmental conditions. Simulation results demonstrate how selection in a variable environment affects the gene number and efficiency making the cells to rapidly switch from one expression regime to the other depending on the external conditions.

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Author information

Authors and Affiliations

  1. Institut für Theoretische Chemie, Universität Wien, Währingerstraße 17, A-1090, Wien, Austria

    Camille Stephan-Otto Attolini, Peter F. Stadler & Christoph Flamm

  2. Lehrstuhl für Bioinformatik, Institut für Informatik, Universität Leipzig, Kreuzstraße 7b, D-04103, Leipzig, Germany

    Peter F. Stadler

Authors
  1. Camille Stephan-Otto Attolini
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  2. Peter F. Stadler
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  3. Christoph Flamm
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Editor information

Editors and Affiliations

  1. Natural Computation Group, University of Kent, CT2 7NF, Canterbury, UK

    Mathieu S. Capcarrère

  2. Computing Laboratory and Centre for BioMedical Informatics, University of Kent, CT2 7NF, Canterbury, UK

    Alex A. Freitas

  3. Computer Science Department, University College London, London, UK

    Peter J. Bentley

  4. Computing Laboratory, University of Kent, Canterbury, UK

    Colin G. Johnson

  5. Department of Electronics, University of York, YO10 5DD, Heslington, York, UK

    Jon Timmis

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© 2005 Springer-Verlag Berlin Heidelberg

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Attolini, C.SO., Stadler, P.F., Flamm, C. (2005). CelloS: A Multi-level Approach to Evolutionary Dynamics. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds) Advances in Artificial Life. ECAL 2005. Lecture Notes in Computer Science(), vol 3630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553090_51

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  • DOI: https://doi.org/10.1007/11553090_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28848-0

  • Online ISBN: 978-3-540-31816-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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