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One Step Forwards in Knowledge of Blossom Blight Brown Rot Disease: Monilinia spp. SSR Marker Database
Raminta Antanynienė1, Vidmantas Stanys1, Birutė Frercks1
1Lithuanian Research Centre for Agriculture and Forestry, Institute of Horticulture, Department of Orchard Plant Genetics and Biotechnology, Kaunas District, LT-54333 Babtai, Lithuania.
Abstract:
A freely available Monilinia spp. marker database was created, containing microsatellite (SSR) data of the three most essential European fungal pathogens: M. fructigena, M. laxa, and M. fructicola. These pathogens cause brown rot blossom blight. Microsatellites were identified using the bioinformatics tool Genome-wide Microsatellite Analyzing Toward Application (GMATA). The database provides information about SSR markers: forward and reverse sequences of the primers, fragment sizes, SSR motifs (and repeats), and the exact locations with the coordinates in the reference genome. This database currently contains information about 39,216 SSR motifs and 26,366 markers. In total, eight primers generated in silico were validated experimentally and they are marked in the database. All scientists can join this collaboration by adding their experimental data. This database is the initial start of organizing Monilinia spp. molecular data worldwide and, in the future, it could be extended by adding more molecular and genomic information.
Insights
A new database organizes microsatellite (SSR) marker data for key European brown rot fungal pathogens (Monilinia spp.). This resource aids researchers in studying these important plant disease agents.
Area of Science:
- Plant Pathology
- Bioinformatics
- Genomics
Background:
- Monilinia spp. are significant European fungal pathogens causing brown rot blossom blight.
- Effective management requires robust molecular data for these pathogens.
Purpose of the Study:
- To create a freely accessible database of microsatellite (SSR) markers for three key Monilinia spp.
- To centralize and organize molecular data for Monilinia spp. research.
Main Methods:
- Identification of microsatellites using the Genome-wide Microsatellite Analyzing Toward Application (GMATA) bioinformatics tool.
- Compilation of marker information including primer sequences, fragment sizes, motifs, and genomic locations.
Main Results:
- The database contains 39,216 SSR motifs and 26,366 markers for M. fructigena, M. laxa, and M. fructicola.
- Eight in silico-generated primers were experimentally validated and are indicated in the database.
- The database includes detailed information on SSR markers and their genomic positions.
Conclusions:
- The Monilinia spp. marker database is a foundational resource for organizing molecular data.
- The database facilitates research on brown rot pathogens and invites collaborative data contributions.
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