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Toward endosymbiosis modeling using reaction networks

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Abstract

Endosymbiosis is a type of symbiosis where one species inhabits another species, and both are benefited. It is not trivial to develop models of endosymbiosis because the interaction might involve complex mechanisms, consisting of various steps, and occurring at different levels of the organisms activity. Reaction networks can be applied to model complex ecological interaction mechanisms that can hardly be represented by traditional network approaches. Namely, entities of the reaction network represent either ecological species, resources, or conditions for the ecological interactions to happen, and ecological interaction mechanisms are represented by sequences of reactions (processes) in the reaction network. Hence, an ecological interaction is modeled as a reaction pathway. In this article, we present a mechanistic model of an endosymbiotic interaction using reaction networks. The model includes three representation layers at different timescales (intracellular, intercellular and organismic) model of the interaction. As an example, We provide a numerical analysis of the effects of the endosymbiotic interaction at the intracellular layer.

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Notes

  1. We omit the mathematical formulation of this property for simplicity.

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Acknowledgements

This work was partially supported by Grant ID# 61733 John Templeton Foundation (Tomas Veloz) and ANID-PFCHA/Doctorado nacional/2019-21191885 (Daniela Flores)

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Authors and Affiliations

  1. Fundación para el Desarrollo Interdisciplinario de la Ciencia, la Tecnología y las Artes, Arturo Prat 249, Santiago, Chile

    Tomas Veloz & Daniela Flores

  2. Departamento Ciencias Biologicas, Facultad Ciencias de la Vida, Universidad Andres Bello, 8370146, Santiago, Chile

    Tomas Veloz

  3. Centre Leo Apostel, Vrije Universiteit Brussel, Rue de la Strategie 33, 1060, Brussels, Belgium

    Tomas Veloz

  4. Departamento de Biología, Facultad de Ciencias, Universidad de Chile, Ñuñoa, 1986, Santiago, Chile

    Daniela Flores

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  1. Tomas Veloz
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Veloz, T., Flores, D. Toward endosymbiosis modeling using reaction networks. Soft Comput 25, 6831–6840 (2021). https://doi.org/10.1007/s00500-020-05530-2

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