Co-expression network analyses identify functional modules associated with development and stress response in Gossypium arboreum.

ABSTRACT: Cotton is an economically important crop, essential for the agriculture and textile industries. Through integrating transcriptomic data, we discovered that multi-dimensional co-expression network analysis was powerful for predicting cotton gene functions and functional modules. Here, the recently available transcriptomic data on Gossypium arboreum, including data on multiple growth stages of tissues and stress treatment samples were applied to construct a co-expression network exploring multi-dimensional expression (development and stress) through multi-layered approaches. Based on differential gene expression and network analysis, a fibre development regulatory module of the gene GaKNL1 was found to regulate the second cell wall through repressing the activity of REVOLUTA, and a tissue-se

SUBMITTER: You Q 

PROVIDER: S-EPMC5138846 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature