Revealing Shared and Distinct Gene Network Organization in Arabidopsis Immune Responses by Integrative Analysis. Issue 3 (22nd January 2015)
- Record Type:
- Journal Article
- Title:
- Revealing Shared and Distinct Gene Network Organization in Arabidopsis Immune Responses by Integrative Analysis. Issue 3 (22nd January 2015)
- Main Title:
- Revealing Shared and Distinct Gene Network Organization in Arabidopsis Immune Responses by Integrative Analysis
- Authors:
- Dong, Xiaobao
Jiang, Zhenhong
Peng, You-Liang
Zhang, Ziding - Abstract:
- Abstract : Multiscale network analysis shows a robust gene network architecture in effector-triggered immunity of Arabidopsis. Abstract: Pattern-triggered immunity (PTI ) and effector-triggered immunity (ETI ) are two main plant immune responses to counter pathogen invasion. Genome-wide gene network organizing principles leading to quantitative differences between PTI and ETI have remained elusive. We combined an advanced machine learning method and modular network analysis to systematically characterize the organizing principles of Arabidopsis ( Arabidopsis thaliana ) PTI and ETI at three network resolutions. At the single network node/edge level, we ranked genes and gene interactions based on their ability to distinguish immune response from normal growth and successfully identified many immune-related genes associated with PTI and ETI . Topological analysis revealed that the top-ranked gene interactions tend to link network modules. At the subnetwork level, we identified a subnetwork shared by PTI and ETI encompassing 1, 159 genes and 1, 289 interactions. This subnetwork is enriched in interactions linking network modules and is also a hotspot of attack by pathogen effectors. The subnetwork likely represents a core component in the coordination of multiple biological processes to favor defense over development. Finally, we constructed modular network models for PTI and ETI to explain the quantitative differences in the global network architecture. Our results indicateAbstract : Multiscale network analysis shows a robust gene network architecture in effector-triggered immunity of Arabidopsis. Abstract: Pattern-triggered immunity (PTI ) and effector-triggered immunity (ETI ) are two main plant immune responses to counter pathogen invasion. Genome-wide gene network organizing principles leading to quantitative differences between PTI and ETI have remained elusive. We combined an advanced machine learning method and modular network analysis to systematically characterize the organizing principles of Arabidopsis ( Arabidopsis thaliana ) PTI and ETI at three network resolutions. At the single network node/edge level, we ranked genes and gene interactions based on their ability to distinguish immune response from normal growth and successfully identified many immune-related genes associated with PTI and ETI . Topological analysis revealed that the top-ranked gene interactions tend to link network modules. At the subnetwork level, we identified a subnetwork shared by PTI and ETI encompassing 1, 159 genes and 1, 289 interactions. This subnetwork is enriched in interactions linking network modules and is also a hotspot of attack by pathogen effectors. The subnetwork likely represents a core component in the coordination of multiple biological processes to favor defense over development. Finally, we constructed modular network models for PTI and ETI to explain the quantitative differences in the global network architecture. Our results indicate that the defense modules in ETI are organized into relatively independent structures, explaining the robustness of ETI to genetic mutations and effector attacks. Taken together, the multiscale comparisons of PTI and ETI provide a systems biology perspective on plant immunity and emphasize coordination among network modules to establish a robust immune response. … (more)
- Is Part Of:
- Plant physiology. Volume 167:Issue 3(2015)
- Journal:
- Plant physiology
- Issue:
- Volume 167:Issue 3(2015)
- Issue Display:
- Volume 167, Issue 3 (2015)
- Year:
- 2015
- Volume:
- 167
- Issue:
- 3
- Issue Sort Value:
- 2015-0167-0003-0000
- Page Start:
- 1186
- Page End:
- 1203
- Publication Date:
- 2015-01-22
- Subjects:
- Plant physiology -- Periodicals
Botany -- Periodicals
Periodicals
Electronic journals
571.2 - Journal URLs:
- https://academic.oup.com/plphys/issue ↗
http://www.plantphysiol.org/ ↗
http://www.jstor.org/journals/00320889.html ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=69 ↗
http://www-us.ebsco.com/online/direct.asp?JournalID=101725 ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1104/pp.114.254292 ↗
- Languages:
- English
- ISSNs:
- 0032-0889
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22169.xml