Genome-Wide Association and Genomic Prediction Models of Tocochromanols in Fresh Sweet Corn Kernels.


Journal

The plant genome
ISSN: 1940-3372
Titre abrégé: Plant Genome
Pays: United States
ID NLM: 101273919

Informations de publication

Date de publication:
03 2019
Historique:
entrez: 6 4 2019
pubmed: 6 4 2019
medline: 24 4 2019
Statut: ppublish

Résumé

Sweet corn ( L.), a highly consumed fresh vegetable in the United States, varies for tocochromanol (tocopherol and tocotrienol) levels but makes only a limited contribution to daily intake of vitamin E and antioxidants. We performed a genome-wide association study of six tocochromanol compounds and 14 derivative traits across a sweet corn inbred line association panel to identify genes associated with natural variation for tocochromanols and vitamin E in fresh kernels. Concordant with prior studies in mature maize kernels, an association was detected between γ-tocopherol methyltransferase (vte4) and α-tocopherol content, along with () and () for tocotrienol variation. Additionally, two kernel starch synthesis genes, () and (), were associated with tocotrienols, with the strongest evidence for in combination with fixed, strong and alleles, accounting for the greater amount of tocotrienols in and lines. In prediction models with genome-wide markers, predictive abilities were higher for tocotrienols than tocopherols, and these models were superior to those that used marker sets targeting a priori genes involved in the biosynthesis and/or genetic control of tocochromanols. Through this quantitative genetic analysis, we have established a key step for increasing tocochromanols in fresh kernels of sweet corn for human health and nutrition.

Identifiants

pubmed: 30951088
doi: 10.3835/plantgenome2018.06.0038
doi:

Substances chimiques

Genetic Markers 0
Tocotrienols 0
Tocopherols R0ZB2556P8

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2019 Crop Science Society of America.

Auteurs

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Classifications MeSH