Development of SNP Genotyping Assays for Seed Composition Traits in Soybean
-
- Gunvant Patil
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
-
- Juhi Chaudhary
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
-
- Tri D. Vuong
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
-
- Brian Jenkins
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
-
- Dan Qiu
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
-
- Suhas Kadam
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
-
- Grover J. Shannon
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
-
- Henry T. Nguyen
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
Description
<jats:p>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.</jats:p>
Journal
-
- International Journal of Plant Genomics
-
International Journal of Plant Genomics 2017 1-12, 2017-05-25
Hindawi Limited
- Tweet
Details 詳細情報について
-
- CRID
- 1360574095933657728
-
- ISSN
- 16875389
- 16875370
-
- Data Source
-
- Crossref