Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides.

ABSTRACT:

Background

Maize, a crop of global significance, is vulnerable to a variety of biotic stresses resulting in economic losses. Fusarium verticillioides (teleomorph Gibberella moniliformis) is one of the key fungal pathogens of maize, causing ear rots and stalk rots. To better understand the genetic mechanisms involved in maize defense as well as F. verticillioides virulence, a systematic investigation of the host-pathogen interaction is needed. The aim of this study was to computationally identify potential maize subnetwork modules associated with its defense response against F. verticillioides.

Results

We obtained time-course RNA-seq data from B73 maize inoculated with wild type F. verticillioides and a loss-of-virulence mutant, and subsequently established a computational pi

SUBMITTER: Kim M 

PROVIDER: S-EPMC4597171 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature