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Modelling the Evolution of Dynamic Regulatory Networks: Some Critical Insights

  • Anton CrombachEmail author
Chapter

Abstract

Regulatory networks are at the centre of cellular decision-making, and understanding their structure and dynamics is a goal in many areas of the life sciences. In this chapter, I present recent studies that, in my opinion, demonstrate how thinking in terms of networks is enriching our understanding of evolution. By studying abstract models of regulatory networks, evolutionary concepts such as robustness, evolvability, modularity, and hierarchy have been clarified. Moreover, models are helping us probe the relationship between network structure, function, and evolution. Models can also be closely linked to experimental systems. I discuss two such data-driven studies, which highlight how combining theory and data allows us to understand how evolution has proceeded on Earth. Finally, I present several open challenges in the field of network evolution, and I suggest how to tackle them.

Notes

Acknowledgements

I thank Elise Parey for critical reading and comments. And I kindly acknowledge Foundation Bettencourt Schueller.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Centre for Interdisciplinary Research in BiologyCollege de France, CNRS, INSERM, PSL ResearchParisFrance

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