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Network modeling to understand plant immunity
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Windram, Oliver P., Penfold, Christopher A. and Denby, Katherine J. (2014) Network modeling to understand plant immunity. Annual Review of Phytopathology, Volume 52 (Number 1). pp. 93-111. doi:10.1146/annurev-phyto-102313-050103
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Official URL: http://dx.doi.org/10.1146/annurev-phyto-102313-050...
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.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science > Life Sciences (2010- ) Faculty of Science > Centre for Systems Biology |
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| Journal or Publication Title: | Annual Review of Phytopathology | ||||||
| Publisher: | Annual Reviews | ||||||
| ISSN: | 0066-4286 | ||||||
| Official Date: | August 2014 | ||||||
| Dates: |
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| Volume: | Volume 52 | ||||||
| Number: | Number 1 | ||||||
| Page Range: | pp. 93-111 | ||||||
| DOI: | 10.1146/annurev-phyto-102313-050103 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access |
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