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Modelling signaling networks underlying plant defence
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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 ISSN 1369-5266.
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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
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 | ||||||
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| Subjects: | Q Science > QH Natural history S Agriculture > SB Plant culture |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre |
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| 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: |
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| 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 (Creative Commons) | ||||||
| Date of first compliant deposit: | 30 December 2015 | ||||||
| Date of first compliant Open Access: | 30 December 2015 | ||||||
| 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. |
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