Development of SNP Genotyping Assays for Seed Composition Traits in Soybean.

International journal of plant genomics Pub Date : 2017-01-01 Epub Date: 2017-05-25 DOI:10.1155/2017/6572969
Gunvant Patil, Juhi Chaudhary, Tri D Vuong, Brian Jenkins, Dan Qiu, Suhas Kadam, Grover J Shannon, Henry T Nguyen
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引用次数: 35

Abstract

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.

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大豆种子组成性状SNP基因分型研究进展。
大豆种子成分是决定大豆经济价值的重要因素之一。不同种子成分的质量和数量,如油、蛋白质和碳水化合物,是食品、饲料和许多工业产品的关键成分。大豆研究人员已经成功地开发和利用了一套多样化的分子标记来改善大豆育种计划中的种子性状。设计和开发准确、稳健、高通量、具有成本效益并可在通用基因分型平台上使用的分子分析方法势在必行。在本研究中,我们基于已知的功能性突变等位基因开发并验证了KASP(竞争性等位基因特异性聚合酶链反应)基因分型方法,用于种子组成性状,包括脂肪酸、低聚糖、胰蛋白酶抑制剂和脂氧合酶。这些方法在突变源和种群图谱上得到了验证,并精确区分了突变基因的纯合子和杂合子。本研究新开发的KASP分析方法具有明显的优势,可以替代先前为标记辅助选择(marker-assisted selection, MAS)而开发的基因分型分析方法。利用通用基因分型平台开发的功能性基因分析资源将有助于加快大豆种子组成性状的改良工作。
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