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Organization Principles in Genetic Interaction Networks

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Evolutionary Systems Biology

Part of the book series: Advances in Experimental Medicine and Biology ((volume 751))

Abstract

Understanding how genetic modifications, individual or in combinations, affect phenotypes is a challenge common to several areas of biology, including human genetics, metabolic engineering, and evolutionary biology. Much of the complexity of how genetic modifications produce phenotypic outcomes has to do with the lack of independence, or epistasis, between different perturbations: the phenotypic effect of one perturbation depends, in general, on the genetic background of previously accumulated modifications, i.e., on the network of interactions with other perturbations. In recent years, an increasing number of high-throughput efforts, both experimental and computational, have focused on trying to unravel these genetic interaction networks. Here we provide an overview of how systems biology approaches have contributed to, and benefited from, the study of genetic interaction networks. We focus, in particular, on results pertaining to the global multilevel properties of these networks, and the connection between their modular architecture and their functional and evolutionary significance.

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Authors and Affiliations

  1. Graduate Program in Bioinformatics, Boston University, Boston, MA, 02215, USA

    Christopher Jacobs & Daniel Segrè

  2. Department of Biology and Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA

    Daniel Segrè

Authors
  1. Christopher Jacobs
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  2. Daniel Segrè
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Correspondence to Daniel Segrè .

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Editors and Affiliations

  1. University of Exeter, Prince of Wales Road, Exeter, EX4 4SB, Devon, United Kingdom

    Orkun S. Soyer

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© 2012 Springer Science+Business Media, LLC

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Jacobs, C., Segrè, D. (2012). Organization Principles in Genetic Interaction Networks. In: Soyer, O. (eds) Evolutionary Systems Biology. Advances in Experimental Medicine and Biology, vol 751. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3567-9_3

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