Literature DB >> 30951088

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

Matheus Baseggio, Matthew Murray, Maria Magallanes-Lundback, Nicholas Kaczmar, James Chamness, Edward S Buckler, Margaret E Smith, Dean DellaPenna, William F Tracy, Michael A Gore.   

Abstract

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.
Copyright © 2019 Crop Science Society of America.

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Year:  2019        PMID: 30951088     DOI: 10.3835/plantgenome2018.06.0038

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  9 in total

1.  Marker-assisted pyramiding of γ-tocopherol methyltransferase and glutamate formiminotransferase genes for development of biofortified sweet corn hybrids.

Authors:  Guihua Lv; Xiaolong Chen; Duo Ying; Jiansheng Li; Yinghu Fan; Bin Wang; Ruiqiu Fang
Journal:  PeerJ       Date:  2022-07-06       Impact factor: 3.061

2.  High throughput profiling of tocochromanols in leaves and seeds of Arabidopsis and Maize.

Authors:  Yan Bao; Maria Magallenes-Lundback; Nicholas Deason; Dean DellaPenna
Journal:  Plant Methods       Date:  2020-09-17       Impact factor: 4.993

3.  Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize.

Authors:  Pengfei Qiao; Meng Lin; Miguel Vasquez; Susanne Matschi; James Chamness; Matheus Baseggio; Laurie G Smith; Mert R Sabuncu; Michael A Gore; Michael J Scanlon
Journal:  G3 (Bethesda)       Date:  2019-12-03       Impact factor: 3.154

4.  Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels.

Authors:  Matheus Baseggio; Matthew Murray; Di Wu; Gregory Ziegler; Nicholas Kaczmar; James Chamness; John P Hamilton; C Robin Buell; Olena K Vatamaniuk; Edward S Buckler; Margaret E Smith; Ivan Baxter; William F Tracy; Michael A Gore
Journal:  G3 (Bethesda)       Date:  2021-08-07       Impact factor: 3.154

5.  Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain.

Authors:  Di Wu; Xiaowei Li; Ryokei Tanaka; Joshua C Wood; Laura E Tibbs-Cortes; Maria Magallanes-Lundback; Nolan Bornowski; John P Hamilton; Brieanne Vaillancourt; Christine H Diepenbrock; Xianran Li; Nicholas T Deason; Gregory R Schoenbaum; Jianming Yu; C Robin Buell; Dean DellaPenna; Michael A Gore
Journal:  Genetics       Date:  2022-07-30       Impact factor: 4.402

6.  Genome-Wide Association Study for Maize Leaf Cuticular Conductance Identifies Candidate Genes Involved in the Regulation of Cuticle Development.

Authors:  Meng Lin; Susanne Matschi; Miguel Vasquez; James Chamness; Nicholas Kaczmar; Matheus Baseggio; Michael Miller; Ethan L Stewart; Pengfei Qiao; Michael J Scanlon; Isabel Molina; Laurie G Smith; Michael A Gore
Journal:  G3 (Bethesda)       Date:  2020-05-04       Impact factor: 3.154

7.  Identification of Gene Associated with Sweetness in Corn (Zea mays L.) by Genome-Wide Association Study (GWAS) and Development of a Functional SNP Marker for Predicting Sweet Corn.

Authors:  Vinitchan Ruanjaichon; Kanogporn Khammona; Burin Thunnom; Khundej Suriharn; Chalong Kerdsri; Wanchana Aesomnuk; Arweewut Yongsuwan; Naraporn Chaomueang; Paradee Thammapichai; Siwaret Arikit; Samart Wanchana; Theerayut Toojinda
Journal:  Plants (Basel)       Date:  2021-06-18

Review 8.  Applications of Genomic Tools in Plant Breeding: Crop Biofortification.

Authors:  Inés Medina-Lozano; Aurora Díaz
Journal:  Int J Mol Sci       Date:  2022-03-13       Impact factor: 5.923

Review 9.  The utility of metabolomics as a tool to inform maize biology.

Authors:  David B Medeiros; Yariv Brotman; Alisdair R Fernie
Journal:  Plant Commun       Date:  2021-04-21
  9 in total

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