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Genomic regions associated with important seed quality traits in food-grade soybeans

BACKGROUND: The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the dev...

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Autores principales: Whiting, Rachel M., Torabi, Sepideh, Lukens, Lewis, Eskandari, Milad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583236/
https://www.ncbi.nlm.nih.gov/pubmed/33096978
http://dx.doi.org/10.1186/s12870-020-02681-0
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author Whiting, Rachel M.
Torabi, Sepideh
Lukens, Lewis
Eskandari, Milad
author_facet Whiting, Rachel M.
Torabi, Sepideh
Lukens, Lewis
Eskandari, Milad
author_sort Whiting, Rachel M.
collection PubMed
description BACKGROUND: The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the development of competitive high-protein soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations. RESULTS: The RIL populations were derived from the high-protein cultivar ‘AC X790P’ (49% protein, dry weight basis), and two high-yielding commercial cultivars, ‘S18-R6’ (41% protein) and ‘S23-T5’ (42% protein). Fourteen large-effect QTL (R(2) > 10%) were identified associated with seed protein concentration. Of these QTL, seven QTL were detected in both populations, and eight of them were co-localized with QTL associated with either seed sucrose concentration or seed weight. None of the protein-related QTL was found to be associated with seed yield in either population. Sixteen candidate genes with putative roles in protein metabolism were identified within seven of these protein-related regions: qPro_Gm02–3, qPro_Gm04–4, qPro_Gm06–1, qPro_Gm06–3, qPro_Gm06–6, qPro_Gm13–4 and qPro-Gm15–3. CONCLUSION: The use of RIL populations derived from high-protein parents created an opportunity to identify four novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. In total, we have identified nine protein QTL that were detected either in both populations in the current study or reported in other studies. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products.
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spelling pubmed-75832362020-10-26 Genomic regions associated with important seed quality traits in food-grade soybeans Whiting, Rachel M. Torabi, Sepideh Lukens, Lewis Eskandari, Milad BMC Plant Biol Research Article BACKGROUND: The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the development of competitive high-protein soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations. RESULTS: The RIL populations were derived from the high-protein cultivar ‘AC X790P’ (49% protein, dry weight basis), and two high-yielding commercial cultivars, ‘S18-R6’ (41% protein) and ‘S23-T5’ (42% protein). Fourteen large-effect QTL (R(2) > 10%) were identified associated with seed protein concentration. Of these QTL, seven QTL were detected in both populations, and eight of them were co-localized with QTL associated with either seed sucrose concentration or seed weight. None of the protein-related QTL was found to be associated with seed yield in either population. Sixteen candidate genes with putative roles in protein metabolism were identified within seven of these protein-related regions: qPro_Gm02–3, qPro_Gm04–4, qPro_Gm06–1, qPro_Gm06–3, qPro_Gm06–6, qPro_Gm13–4 and qPro-Gm15–3. CONCLUSION: The use of RIL populations derived from high-protein parents created an opportunity to identify four novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. In total, we have identified nine protein QTL that were detected either in both populations in the current study or reported in other studies. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products. BioMed Central 2020-10-23 /pmc/articles/PMC7583236/ /pubmed/33096978 http://dx.doi.org/10.1186/s12870-020-02681-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Whiting, Rachel M.
Torabi, Sepideh
Lukens, Lewis
Eskandari, Milad
Genomic regions associated with important seed quality traits in food-grade soybeans
title Genomic regions associated with important seed quality traits in food-grade soybeans
title_full Genomic regions associated with important seed quality traits in food-grade soybeans
title_fullStr Genomic regions associated with important seed quality traits in food-grade soybeans
title_full_unstemmed Genomic regions associated with important seed quality traits in food-grade soybeans
title_short Genomic regions associated with important seed quality traits in food-grade soybeans
title_sort genomic regions associated with important seed quality traits in food-grade soybeans
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583236/
https://www.ncbi.nlm.nih.gov/pubmed/33096978
http://dx.doi.org/10.1186/s12870-020-02681-0
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