TY - JOUR
T1 - Network modeling to understand plant immunity
AU - Windram, Oliver
AU - Penfold, Christopher A.
AU - Denby, Katherine J.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Gene regulatory networks
KW - Network inference
KW - Plant-pathogen interaction
KW - Protein-protein interactome
KW - Systems biology
UR - http://www.scopus.com/inward/record.url?scp=84905496498&partnerID=8YFLogxK
U2 - 10.1146/annurev-phyto-102313-050103
DO - 10.1146/annurev-phyto-102313-050103
M3 - Article
C2 - 24821185
AN - SCOPUS:84905496498
SN - 0066-4286
VL - 52
SP - 93
EP - 111
JO - Annual Review of Phytopathology
JF - Annual Review of Phytopathology
ER -