eFG: an electronic resource for Fusarium graminearum

Database (Oxford). 2013 Jun 22:2013:bat042. doi: 10.1093/database/bat042. Print 2013.

Abstract

Fusarium graminearum is a plant pathogen, which causes crop diseases and further leads to huge economic damage worldwide in past decades. Recently, the accumulation of different types of molecular data provides insights into the pathogenic mechanism of F. graminearum, and might help develop efficient strategies to combat this destructive fungus. Unfortunately, most available molecular data related to F. graminearum are distributed in various media, where each single source only provides limited information on the complex biological systems of the fungus. In this work, we present a comprehensive database, namely eFG (Electronic resource for Fusarium graminearum), to the community for further understanding this destructive pathogen. In particular, a large amount of functional genomics data generated by our group is deposited in eFG, including protein subcellular localizations, protein-protein interactions and orthologous genes in other model organisms. This valuable knowledge can not only help to disclose the molecular underpinnings of pathogenesis of the destructive fungus F. graminearum but also help the community to develop efficient strategies to combat this pathogen. To our best knowledge, eFG is the most comprehensive functional genomics database for F. graminearum until now. The eFG database is freely accessible at http://csb.shu.edu.cn/efg/ with a user-friendly and interactive interface, and all data can be downloaded freely. DATABASE URL: http://csb.shu.edu.cn/efg/

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Databases, Genetic*
  • Fungal Proteins / metabolism
  • Fusarium / genetics*
  • Fusarium / pathogenicity
  • Genes, Fungal / genetics
  • Protein Interaction Maps
  • Search Engine
  • Sequence Homology, Nucleic Acid
  • Subcellular Fractions / metabolism
  • Transcription Factors / metabolism

Substances

  • Fungal Proteins
  • Transcription Factors