An open database of characterized strains of Fusarium graminearum species complex species whose data have been gathered directly from researchers or extracted from the peer-reviewed articles whenever the geographic, host of origin, year, and phylogenetic species and chemotypes.
Members of the Fusarium graminearum species complex (FGSC), an ascomycete fungus, rank among the most dangerous plant pathogens worldwide. These mycotoxigenic fungi affect mainly small grain crops such as wheat and barley, but also maize, rice and other important cereal crops. During the first decade of 2000, employing multilocus sequencing of global collections of strains that were morphologically defined as a single panmictic species previously known as “Fusarium graminearum”, 16 species have been described (K. O’Donnell et al. 2000; Kerry O’Donnell et al. 2004, 2008; Starkey et al. 2007; Yli-Mattila et al. 2009; Sarver et al. 2011). Since then, researchers from all over the world have been surveying cereal crops and identifying these newly discovered phylogenetic species and associated toxin profile using molecular tools (Backhouse 2014; van der Lee et al. 2015; AOKI et al. 2012). An European database of chemotypes has been developed (Pasquali et al. 2016).
FGSCdb is an open database of characterized FGSC strains whose data have been gathered directly from researchers or extracted from peer-reviewed articles whenever the geographic, host of origin, year, and phylogenetic species (and associated trichothecene chemotype/genotype whenever available) information are available in the main text or supplemental material of the publication. The project was developed as supplemental material for a systematic review article to be submitted soon for publication (Del Ponte et al. unpublished).
The database is organized in a Google Sheet, an online spreadsheet that facilitates shared work and collaboration. Scripts to gather the data and prepare grid, plot and map visualizations were developed using several R packages including crosstalk for adding interactivity in the grid and map view. The main packages used were leaflet for maps, datatable for grid view and plotly for dynamic plotting. The website is constructed using the distill R package. The raw data can be downloaded in PDF or excel format.
We would like to extend the utility of this project by allowing other researches to contribute data to populate the global map.
Get in touch (delponte@ufv.br) to receive instructions on how to submit your data.
Project website: fgsc.netlify.app
Data source: github.com/emdelponte/FGSC
Author and maintainer: Emerson M. Del Ponte
Maintainer: Gláucia M. Moreira
Current collaborators (raw data): Camila P. Nicolli, Todd J. Ward, Cees Waalwijk, Theo van der Lee, Kerry O’Donnell, Sofia N. Chulze, Sebastian A. Steinglein, Dinorah Pan, Silvana Vero, Hao Zhang, Dauri J. Tessmann, Lisa J. Vaillancourt, Antonio Moretti, Antonio Logrieco
If you see mistakes or want to suggest changes, please create an issue on the source repository.
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/openplantpathology/OpenPlantPathology, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".