Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Modelling signaling networks underlying plant defence

Tools
- Tools
+ Tools

Windram, Oliver P. and Denby, Katherine J. (2015) Modelling signaling networks underlying plant defence. Current Opinion in Plant Biology, 27 . pp. 165-171. doi:10.1016/j.pbi.2015.07.007

[img]
Preview
PDF
WRAP_1-s2.0-S1369526615001181-main.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (959Kb) | Preview
Official URL: http://dx.doi.org/10.1016/j.pbi.2015.07.007

Request Changes to record.

Abstract

Transcriptional reprogramming plays a significant role in governing plant responses to pathogens. The underlying regulatory networks are complex and dynamic, responding to numerous input signals. Most network modelling studies to date have used large-scale expression data sets from public repositories but defence network models with predictive ability have also been inferred from single time series data sets, and sophisticated biological insights generated from focused experiments containing multiple network perturbations. Using multiple network inference methods, or combining network inference with additional data, such as promoter motifs, can enhance the ability of the model to predict gene function or regulatory relationships. Network topology can highlight key signaling components and provides a systems level understanding of plant defence.

Item Type: Journal Article
Subjects: Q Science > QH Natural history
S Agriculture > SB Plant culture
Divisions: Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- )
Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre
Library of Congress Subject Headings (LCSH): Genetic transcription, Plants--Disease and pest resistance--Genetic aspects, Plants--Defenses
Journal or Publication Title: Current Opinion in Plant Biology
Publisher: Elsevier Ltd.
ISSN: 1369-5266
Official Date: October 2015
Dates:
DateEvent
October 2015Published
21 August 2015Available
Volume: 27
Page Range: pp. 165-171
DOI: 10.1016/j.pbi.2015.07.007
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Funder: Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC), Imperial College London. Environment Initiative
Grant number: BB/F005806/1 (BBSRC)
Is Part Of: KD was supported by the Biotechnology and Biological Sciences Research Council-funded grant Plant Response to Environmental Stress in Arabidopsis (BB/F005806/1). OW is funded by the Grand Challenges in Ecosystems and the Environment Initiative at Imperial College London.

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us