Network Modeling to Understand Plant Immunity

Oliver Windram; Christopher A. Penfold; Katherine J. Denby

doi:10.1146/annurev-phyto-102313-050103

Annual Review of Phytopathology

Volume 52, 2014

Review Article

Free

Network Modeling to Understand Plant Immunity

Oliver Windram¹, Christopher A. Penfold², and Katherine J. Denby^2,3
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Affiliations: ¹Department of Life Sciences, Imperial College London, SL5 7PY, United Kingdom; email: [email protected] ²Warwick Systems Biology Centre, University of Warwick, CV4 7AL, United Kingdom; email: [email protected], [email protected] ³School of Life Sciences, University of Warwick, CV4 7AL, United Kingdom
Vol. 52:93-111 (Volume publication date August 2014) https://doi.org/10.1146/annurev-phyto-102313-050103
First published as a Review in Advance on May 04, 2014
© Annual Reviews

Abstract

Deciphering the networks that underpin complex biological processes using experimental data remains a significant, but promising, challenge, a task made all the harder by the added complexity of host-pathogen interactions. The aim of this article is to review the progress in understanding plant immunity made so far by applying network modeling algorithms and to show how this computational/mathematical strategy is facilitating a systems view of plant defense. We review the different types of network modeling that have been used, the data required, and the type of insight that such modeling can provide. We discuss the current challenges in modeling the regulatory networks that underlie plant defense and the future developments that may help address these challenges.

Keyword(s): gene regulatory networks, network inference, plant-pathogen interaction, protein-protein interactome, systems biology

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2014-08-04

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