Your browser doesn't support javascript.
loading
Mass-spectrometry data for Rhizoctonia solani proteins produced during infection of wheat and vegetative growth.
Anderson, Jonathan P; Hane, James K; Stoll, Thomas; Pain, Nicholas; Hastie, Marcus L; Kaur, Parwinder; Hoogland, Christine; Gorman, Jeffrey J; Singh, Karam B.
Afiliación
  • Anderson JP; CSIRO Agriculture, Floreat, Western Australia; The University of Western Australia Institute of Agriculture, Crawley, Western Australia.
  • Hane JK; CSIRO Agriculture, Floreat, Western Australia.
  • Stoll T; Protein Discovery Centre, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
  • Pain N; CSIRO Agriculture, Floreat, Western Australia.
  • Hastie ML; Protein Discovery Centre, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
  • Kaur P; CSIRO Agriculture, Floreat, Western Australia.
  • Hoogland C; Protein Discovery Centre, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
  • Gorman JJ; Protein Discovery Centre, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
  • Singh KB; CSIRO Agriculture, Floreat, Western Australia; The University of Western Australia Institute of Agriculture, Crawley, Western Australia.
Data Brief ; 8: 267-71, 2016 Sep.
Article en En | MEDLINE | ID: mdl-27331100
Rhizoctonia solani is an important root infecting pathogen of a range of food staples worldwide including wheat, rice, maize, soybean, potato, legumes and others. Conventional resistance breeding strategies are hindered by the absence of tractable genetic resistance in any crop host. Understanding the biology and pathogenicity mechanisms of this fungus is important for addressing these disease issues, however, little is known about how R. solani causes disease. The data described in this article is derived from applying mass spectrometry based proteomics to identify soluble, membrane-bound and culture filtrate proteins produced under wheat infection and vegetative growth conditions. Comparisons of the data for sample types in this set will be useful to identify metabolic pathway changes as the fungus switches from saprophytic to a pathogenic lifestyle or pathogenicity related proteins contributing to the ability to cause disease on wheat. The data set is deposited in the PRIDE archive under identifier PRIDE: PXD002806.
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2016 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2016 Tipo del documento: Article