Satellite Symposium 5: Molecular Breeding
Description
Italian ryegrass (IRG, Lolium multiflorum Lam.) is an important grass species used for agricultural purposes in Japan. Linkage maps in IRG have been constructed using molecular markers including RFLPs, AFLPs (Inoue et al., 2003) and genomic SSRs. The SSR marker is a useful tool for genome analysis because it is PCR-based with a relatively high level of polymorphism, co-dominantly expressed. The EST-SSR markers are expected to be more conserved and have a higher rate of transferability than genomic SSR markers (Scott et al., 2000), and the gene functions of ESTs may be predicted. Ikeda et al. (2004) have developed an IRG EST database consisting of 54,811 sequences. The aim of this study was to develop EST-SSR markers using this EST database and assign them into a reference map of IRG.
Citation
Hirata, M.; Miura, Y.; Takamizo, T.; and Fujimori, M., "Development of EST-Derived Simple Sequence Repeat (SSR) Markers in Italian Ryegrass (Lolium Multiflorum Lam.)" (2023). IGC Proceedings (1993-2023). 122.
https://uknowledge.uky.edu/igc/20/satellitesymposium5/122
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Development of EST-Derived Simple Sequence Repeat (SSR) Markers in Italian Ryegrass (Lolium Multiflorum Lam.)
Italian ryegrass (IRG, Lolium multiflorum Lam.) is an important grass species used for agricultural purposes in Japan. Linkage maps in IRG have been constructed using molecular markers including RFLPs, AFLPs (Inoue et al., 2003) and genomic SSRs. The SSR marker is a useful tool for genome analysis because it is PCR-based with a relatively high level of polymorphism, co-dominantly expressed. The EST-SSR markers are expected to be more conserved and have a higher rate of transferability than genomic SSR markers (Scott et al., 2000), and the gene functions of ESTs may be predicted. Ikeda et al. (2004) have developed an IRG EST database consisting of 54,811 sequences. The aim of this study was to develop EST-SSR markers using this EST database and assign them into a reference map of IRG.
