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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...

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Autores principales: Patil, Gunvant, Chaudhary, Juhi, Vuong, Tri D., Jenkins, Brian, Qiu, Dan, Kadam, Suhas, Shannon, Grover J., Nguyen, Henry T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
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.
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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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