Development of genome-wide SNP assays for rice
Journal
Breeding Science
Journal Volume
60
Journal Issue
5
Pages
524-535
Date Issued
2010
Author(s)
McCouch, Susan R.
Zhao, Keyan
Wright, Mark
Ebana, Kaworu
Thomson, Michael
Reynolds, Andy
Wang, Diane
Declerck, Genevieve
Ali, Md. Liakat
Mcclung, Anna
Eizenga, Georgia
Abstract
Single nucleotide polymorphisms (SNPs) are the most abundant form of genetic variation in eukaryotic genomes. SNPs may be functionally responsible for specific traits or phenotypes, or they may be informative for tracing the evolutionary history of a species or the pedigree of a variety. As genetic markers, SNPs are rapidly replacing simple sequence repeats (SSRs) because they are more abundant, stable, amenable to automation, efficient, and increasingly cost-effective. The integration of high throughput SNP genotyping capability promises to accelerate genetic gain in a breeding program, but also imposes a series of economic, organizational and technical hurdles. To begin to address these challenges, SNP-based resources are being developed and made publicly available for broad application in rice research. These resources include large SNP datasets, tools for identifying informative SNPs for targeted applications, and a suite of custom-designed SNP assays for use in marker-assisted and genomic selection, association and QTL mapping, positional cloning, pedigree analysis, variety identification and seed purity testing. SNP resources also make it possible for breeders to more efficiently evaluate and utilize the wealth of natural variation that exists in both wild and cultivated germplasm with the aim of improving the productivity and sustainability of agriculture.
SDGs
Type
journal article