Cargando…
Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides
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 m...
Autores principales: | Kim, Mansuck, Zhang, Huan, Woloshuk, Charles, Shim, Won-Bo, Yoon, Byung-Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4597171/ https://www.ncbi.nlm.nih.gov/pubmed/26423221 http://dx.doi.org/10.1186/1471-2105-16-S13-S12 |
Ejemplares similares
-
Characterizing co-expression networks underpinning maize stalk rot virulence in Fusarium verticillioides through computational subnetwork module analyses
por: Kim, Man S., et al.
Publicado: (2018) -
Comparative Histological and Transcriptional Analysis of Maize Kernels Infected with Aspergillus flavus and Fusarium verticillioides
por: Shu, Xiaomei, et al.
Publicado: (2017) -
Molecular Insights into Defense Responses of Vietnamese Maize Varieties to Fusarium verticillioides Isolates
por: Tran, Trang Minh, et al.
Publicado: (2021) -
Transcriptome changes in Fusarium verticillioides caused by mutation in the transporter-like gene FST1
por: Niu, Chenxing, et al.
Publicado: (2015) -
Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network
por: Su, Junjie, et al.
Publicado: (2010)