Discovery of core biotic stress responsive genes in Arabidopsis by weighted gene co-expression network analysis.

ABSTRACT: Intricate signal networks and transcriptional regulators translate the recognition of pathogens into defense responses. In this study, we carried out a gene co-expression analysis of all currently publicly available microarray data, which were generated in experiments that studied the interaction of the model plant Arabidopsis thaliana with microbial pathogens. This work was conducted to identify (i) modules of functionally related co-expressed genes that are differentially expressed in response to multiple biotic stresses, and (ii) hub genes that may function as core regulators of disease responses. Using Weighted Gene Co-expression Network Analysis (WGCNA) we constructed an undirected network leveraging a rich curated expression dataset comprising 272 microarrays that involved microbial

SUBMITTER: Amrine KC 

PROVIDER: S-EPMC4346582 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature