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Development of SNP Genotyping Assays for Seed Composition Traits in Soybean
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5463095/ https://www.ncbi.nlm.nih.gov/pubmed/28630621 http://dx.doi.org/10.1155/2017/6572969 |
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author | Patil, Gunvant Chaudhary, Juhi Vuong, Tri D. Jenkins, Brian Qiu, Dan Kadam, Suhas Shannon, Grover J. Nguyen, Henry T. |
author_facet | Patil, Gunvant Chaudhary, Juhi Vuong, Tri D. Jenkins, Brian Qiu, Dan Kadam, Suhas Shannon, Grover J. Nguyen, Henry T. |
author_sort | Patil, Gunvant |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5463095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-54630952017-06-19 Development of SNP Genotyping Assays for Seed Composition Traits in Soybean Patil, Gunvant Chaudhary, Juhi Vuong, Tri D. Jenkins, Brian Qiu, Dan Kadam, Suhas Shannon, Grover J. Nguyen, Henry T. Int J Plant Genomics Research Article 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. Hindawi 2017 2017-05-25 /pmc/articles/PMC5463095/ /pubmed/28630621 http://dx.doi.org/10.1155/2017/6572969 Text en Copyright © 2017 Gunvant Patil et al. https://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Research Article Patil, Gunvant Chaudhary, Juhi Vuong, Tri D. Jenkins, Brian Qiu, Dan Kadam, Suhas Shannon, Grover J. Nguyen, Henry T. Development of SNP Genotyping Assays for Seed Composition Traits in Soybean |
title | Development of SNP Genotyping Assays for Seed Composition Traits in Soybean |
title_full | Development of SNP Genotyping Assays for Seed Composition Traits in Soybean |
title_fullStr | Development of SNP Genotyping Assays for Seed Composition Traits in Soybean |
title_full_unstemmed | Development of SNP Genotyping Assays for Seed Composition Traits in Soybean |
title_short | Development of SNP Genotyping Assays for Seed Composition Traits in Soybean |
title_sort | development of snp genotyping assays for seed composition traits in soybean |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5463095/ https://www.ncbi.nlm.nih.gov/pubmed/28630621 http://dx.doi.org/10.1155/2017/6572969 |
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