Quantitative trait loci and genomic prediction for grain sugar and mineral concentrations of cowpea [Vigna unguiculata (L.) Walp.]

Development of high yielding cowpea varieties coupled with good taste and rich in essential minerals can promote consumption and thus nutrition and profitability. The sweet taste of cowpea grain is determined by its sugar content, which comprises mainly sucrose and galacto-oligosaccharides (GOS) inc...

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Autores: Bao-Lam Huynh, Stangoulis, J., Tri D. Vuong, Haiying Shi, Nguyen, H.T., Tra Duong, Boukar, O., Kusi, F., Batieno, B.J., Cisse, N., Mouhamadou Moussa Diangar, Justice Awuku, F., Attamah, P., Crossa, J., Pérez-Rodríguez, P., Ehlers, J.D., Roberts, P.A.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:México
Institución:Centro Internacional de Mejoramiento de Maíz y Trigo
Repositorio:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/23126
Acceso en línea:https://hdl.handle.net/10883/23126
Access Level:acceso abierto
Palabra clave:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
QUANTITATIVE TRAIT LOCI
GENOMICS
FORECASTING
COWPEAS
VIGNA UNGUICULATA
PHENOTYPIC VARIATION
Genetic Resources
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spelling Quantitative trait loci and genomic prediction for grain sugar and mineral concentrations of cowpea [Vigna unguiculata (L.) Walp.]Bao-Lam HuynhStangoulis, J.Tri D. VuongHaiying ShiNguyen, H.T.Tra DuongBoukar, O.Kusi, F.Batieno, B.J.Cisse, N.Mouhamadou Moussa DiangarJustice Awuku, F.Attamah, P.Crossa, J.Pérez-Rodríguez, P.Ehlers, J.D.Roberts, P.A.AGRICULTURAL SCIENCES AND BIOTECHNOLOGYQUANTITATIVE TRAIT LOCIGENOMICSFORECASTINGCOWPEASVIGNA UNGUICULATAPHENOTYPIC VARIATIONGenetic ResourcesDevelopment of high yielding cowpea varieties coupled with good taste and rich in essential minerals can promote consumption and thus nutrition and profitability. The sweet taste of cowpea grain is determined by its sugar content, which comprises mainly sucrose and galacto-oligosaccharides (GOS) including raffinose and stachyose. However, GOS are indigestible and their fermentation in the colon can produce excess intestinal gas, causing undesirable bloating and flatulence. In this study, we aimed to examine variation in grain sugar and mineral concentrations, then map quantitative trait loci (QTLs) and estimate genomic-prediction (GP) accuracies for possible application in breeding. Grain samples were collected from a multi-parent advanced generation intercross (MAGIC) population grown in California during 2016–2017. Grain sugars were assayed using high-performance liquid chromatography. Grain minerals were determined by inductively coupled plasma–optical emission spectrometry and combustion. Considerable variation was observed for sucrose (0.6–6.9%) and stachyose (2.3–8.4%). Major QTLs for sucrose (QSuc.vu-1.1), stachyose (QSta.vu-7.1), copper (QCu.vu-1.1) and manganese (QMn.vu-5.1) were identified. Allelic effects of major sugar QTLs were validated using the MAGIC grain samples grown in West Africa in 2017. GP accuracies for minerals were moderate (0.4–0.58). These findings help guide future breeding efforts to develop mineral-rich cowpea varieties with desirable sugar content.Nature Publishing Group2024-04-12T00:10:14Z2024-04-12T00:10:14Z2024Published Versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10883/2312610.1038/s41598-024-55214-21142045-2322Scientific Reports4567reponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYTinstname:Centro Internacional de Mejoramiento de Maíz y Trigoinstacron:CIMMYTEnglishhttps://doi.org/10.6086/D1FH6JLondon (United Kingdom)CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purposeOpen Accessinfo:eu-repo/semantics/openAccessoai:repository.cimmyt.org:10883/231262024-10-11T19:56:26Z
dc.title.none.fl_str_mv Quantitative trait loci and genomic prediction for grain sugar and mineral concentrations of cowpea [Vigna unguiculata (L.) Walp.]
title Quantitative trait loci and genomic prediction for grain sugar and mineral concentrations of cowpea [Vigna unguiculata (L.) Walp.]
spellingShingle Quantitative trait loci and genomic prediction for grain sugar and mineral concentrations of cowpea [Vigna unguiculata (L.) Walp.]
Bao-Lam Huynh
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
QUANTITATIVE TRAIT LOCI
GENOMICS
FORECASTING
COWPEAS
VIGNA UNGUICULATA
PHENOTYPIC VARIATION
Genetic Resources
title_short Quantitative trait loci and genomic prediction for grain sugar and mineral concentrations of cowpea [Vigna unguiculata (L.) Walp.]
title_full Quantitative trait loci and genomic prediction for grain sugar and mineral concentrations of cowpea [Vigna unguiculata (L.) Walp.]
title_fullStr Quantitative trait loci and genomic prediction for grain sugar and mineral concentrations of cowpea [Vigna unguiculata (L.) Walp.]
title_full_unstemmed Quantitative trait loci and genomic prediction for grain sugar and mineral concentrations of cowpea [Vigna unguiculata (L.) Walp.]
title_sort Quantitative trait loci and genomic prediction for grain sugar and mineral concentrations of cowpea [Vigna unguiculata (L.) Walp.]
dc.creator.none.fl_str_mv Bao-Lam Huynh
Stangoulis, J.
Tri D. Vuong
Haiying Shi
Nguyen, H.T.
Tra Duong
Boukar, O.
Kusi, F.
Batieno, B.J.
Cisse, N.
Mouhamadou Moussa Diangar
Justice Awuku, F.
Attamah, P.
Crossa, J.
Pérez-Rodríguez, P.
Ehlers, J.D.
Roberts, P.A.
author Bao-Lam Huynh
author_facet Bao-Lam Huynh
Stangoulis, J.
Tri D. Vuong
Haiying Shi
Nguyen, H.T.
Tra Duong
Boukar, O.
Kusi, F.
Batieno, B.J.
Cisse, N.
Mouhamadou Moussa Diangar
Justice Awuku, F.
Attamah, P.
Crossa, J.
Pérez-Rodríguez, P.
Ehlers, J.D.
Roberts, P.A.
author_role author
author2 Stangoulis, J.
Tri D. Vuong
Haiying Shi
Nguyen, H.T.
Tra Duong
Boukar, O.
Kusi, F.
Batieno, B.J.
Cisse, N.
Mouhamadou Moussa Diangar
Justice Awuku, F.
Attamah, P.
Crossa, J.
Pérez-Rodríguez, P.
Ehlers, J.D.
Roberts, P.A.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
QUANTITATIVE TRAIT LOCI
GENOMICS
FORECASTING
COWPEAS
VIGNA UNGUICULATA
PHENOTYPIC VARIATION
Genetic Resources
topic AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
QUANTITATIVE TRAIT LOCI
GENOMICS
FORECASTING
COWPEAS
VIGNA UNGUICULATA
PHENOTYPIC VARIATION
Genetic Resources
description Development of high yielding cowpea varieties coupled with good taste and rich in essential minerals can promote consumption and thus nutrition and profitability. The sweet taste of cowpea grain is determined by its sugar content, which comprises mainly sucrose and galacto-oligosaccharides (GOS) including raffinose and stachyose. However, GOS are indigestible and their fermentation in the colon can produce excess intestinal gas, causing undesirable bloating and flatulence. In this study, we aimed to examine variation in grain sugar and mineral concentrations, then map quantitative trait loci (QTLs) and estimate genomic-prediction (GP) accuracies for possible application in breeding. Grain samples were collected from a multi-parent advanced generation intercross (MAGIC) population grown in California during 2016–2017. Grain sugars were assayed using high-performance liquid chromatography. Grain minerals were determined by inductively coupled plasma–optical emission spectrometry and combustion. Considerable variation was observed for sucrose (0.6–6.9%) and stachyose (2.3–8.4%). Major QTLs for sucrose (QSuc.vu-1.1), stachyose (QSta.vu-7.1), copper (QCu.vu-1.1) and manganese (QMn.vu-5.1) were identified. Allelic effects of major sugar QTLs were validated using the MAGIC grain samples grown in West Africa in 2017. GP accuracies for minerals were moderate (0.4–0.58). These findings help guide future breeding efforts to develop mineral-rich cowpea varieties with desirable sugar content.
publishDate 2024
dc.date.none.fl_str_mv 2024-04-12T00:10:14Z
2024-04-12T00:10:14Z
2024
dc.type.none.fl_str_mv Published Version
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/10883/23126
10.1038/s41598-024-55214-2
url https://hdl.handle.net/10883/23126
identifier_str_mv 10.1038/s41598-024-55214-2
dc.language.none.fl_str_mv English
language_invalid_str_mv English
dc.relation.none.fl_str_mv https://doi.org/10.6086/D1FH6J
dc.rights.none.fl_str_mv Open Access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Open Access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv London (United Kingdom)
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv 1
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2045-2322
Scientific Reports
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