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Presentation
Rapid multiplexed analysis of perfect markers for important rice traits
6th International Rice Genetics Symposium
  • Ardashir K Masouleh, Southern Cross University
  • Daniel LE Waters, Southern Cross University
  • Russell F Reinke, Yanco Agricultural Institute
  • Robert J Henry, Southern Cross University
Document Type
Presentation
Publication Date
1-1-2009
Abstract

Automated DNA Extraction, Next Generation Sequencing and high throughput genotyping technologies used in combination allow more tightly targeted approaches to genetic analysis than ever before. It is now possible to quickly acquire genome wide data for a range of key reference varieties which differ by important phenotypes. These data can be quickly converted to high throughput genotyping assays allowing rapid analysis of populations derived from the reference varieties. The same data can be used for cereal variety identification, an important quality control tool. We have optimized a high-throughput multiplexed SNP assay for eight polymorphisms which explain two agronomic and three grain quality traits in rice. Gene fragments coding for the agronomic traits plant height (sd-1) and blast disease resistance (Pi-ta) and the quality traits amylose content (waxy), gelatinisation temperature (alk) and fragrance (fgr) were amplified in a multiplex PCR. A single base extension reaction carried out at the polymorphism responsible for each of these phenotypes within these genes generated extension products which were quantified by a MALDI –TOF system, the Sequenom® MassARRAY®. The assay detects both SNPs and indels and is co-dominant, simultaneously detecting both homozygous and heterozygous samples in a multiplex system. We are extending this approach to the analysis of rice starch biosynthesis genes.

Citation Information
Masouleh, AK, Waters, DLE, Reinke, RF & Henry, RJ 2009, 'Rapid multiplexed analysis of perfect markers for important rice traits', paper presented to the 6th International Rice Genetics Symposium, Manila, Philippines, 16-19 November.