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Red Queen Coevolution on Fitness Landscapes

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Recent Advances in the Theory and Application of Fitness Landscapes

Part of the book series: Emergence, Complexity and Computation ((ECC,volume 6))

Abstract

Species do not merely evolve, they also coevolve with other organisms. Coevolution is a major force driving interacting species to continuously evolve exploring their fitness landscapes. Coevolution involves the coupling of species fitness landscapes, linking species genetic changes with their inter-specific ecological interactions. Here we first introduce the Red Queen hypothesis of evolution commenting on some theoretical aspects and empirical evidences. As an introduction to the fitness landscape concept, we review key issues on evolution on simple and rugged fitness landscapes. Then we present key modeling examples of coevolution on different fitness landscapes at different scales, from RNA viruses to complex ecosystems and macroevolution.

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Authors and Affiliations

  1. ICREA-Complex Systems Lab, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona (PRBB), Dr. Aiguader 88, 08003, Barcelona, Spain

    Ricard V. Solé & Josep Sardanyés

  2. Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta 37, 08003, Barcelona, Spain

    Ricard V. Solé & Josep Sardanyés

  3. Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM, 87501, USA

    Ricard V. Solé

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  1. Ricard V. Solé
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  2. Josep Sardanyés
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  1. Faculty of Electrical Engineering & Information Technology, HTWK Leipzig University of Applied Sciences, Leipzig, Germany

    Hendrik Richter

  2. Department of Computer Science, University of Pretoria, Pretoria, South Africa

    Andries Engelbrecht

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Solé, R.V., Sardanyés, J. (2014). Red Queen Coevolution on Fitness Landscapes. In: Richter, H., Engelbrecht, A. (eds) Recent Advances in the Theory and Application of Fitness Landscapes. Emergence, Complexity and Computation, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41888-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-41888-4_11

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  • Online ISBN: 978-3-642-41888-4

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