首页 | 本学科首页   官方微博 | 高级检索  
   检索      


A high-throughput assay for rapid and simultaneous analysis of perfect markers for important quality and agronomic traits in rice using multiplexed MALDI-TOF mass spectrometry
Authors:Ardashir K Masouleh  Daniel L E Waters  Russel F Reinke  Robert J Henry
Institution:Centre for Plant Conservation Genetics, Southern Cross University, Lismore, NSW 2480, Australia;
Yanco Agricultural Institute, Yanco, NSW 2703, Australia
Abstract:The application of single nucleotide polymorphisms (SNPs) in plant breeding involves the analysis of a large number of samples, and therefore requires rapid, inexpensive and highly automated multiplex methods to genotype the sequence variants. 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 (semi-dwarf, sd-1 ) and blast disease resistance ( Pi-ta ) and the quality traits amylose content ( waxy ), gelatinization temperature ( alk ) and fragrance ( fgr ) were amplified in a multiplex polymerase chain reaction. 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 matrix-assisted laser desorption ionization-time of flight system. The assay detects both SNPs and indels and is co-dominant, simultaneously detecting both homozygous and heterozygous samples in a multiplex system. This assay analyses eight functional polymorphisms in one 5 µL reaction, demonstrating the high-throughput and cost-effective capability of this system. At this conservative level of multiplexing, 3072 assays can be performed in a single 384-well microtitre plate, allowing the rapid production of valuable information for selection in rice breeding.
Keywords:matrix-assisted laser desorption ionization-time of flight (MALDI-TOF)  multiplex perfect markers  rice  single nucleotide polymorphism
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号