Table of Contents
International Journal of Plant Genomics
Volume 2017, Article ID 6572969, 12 pages
Research Article

Development of SNP Genotyping Assays for Seed Composition Traits in Soybean

1Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
2Department of Agronomy and Genetics, University of Minnesota, St. Paul, MN 55108, USA

Correspondence should be addressed to Henry T. Nguyen; ude.iruossim@yrnehneyugn

Received 29 December 2016; Revised 20 March 2017; Accepted 30 March 2017; Published 25 May 2017

Academic Editor: Sylvie Cloutier

Copyright © 2017 Gunvant Patil et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Seed composition is one of the most important determinants of the economic values in soybean. The quality and quantity of different seed components, such as oil, protein, and carbohydrates, are crucial ingredients in food, feed, and numerous industrial products. Soybean researchers have successfully developed and utilized a diverse set of molecular markers for seed trait improvement in soybean breeding programs. It is imperative to design and develop molecular assays that are accurate, robust, high-throughput, cost-effective, and available on a common genotyping platform. In the present study, we developed and validated KASP (Kompetitive allele-specific polymerase chain reaction) genotyping assays based on previously known functional mutant alleles for the seed composition traits, including fatty acids, oligosaccharides, trypsin inhibitor, and lipoxygenase. These assays were validated on mutant sources as well as mapping populations and precisely distinguish the homozygotes and heterozygotes of the mutant genes. With the obvious advantages, newly developed KASP assays in this study can substitute the genotyping assays that were previously developed for marker-assisted selection (MAS). The functional gene-based assay resource developed using common genotyping platform will be helpful to accelerate efforts to improve soybean seed composition traits.