Widely Targeted Metabolomics Analysis Reveals Key Quality-Related Metabolites in Kernels of Sweet Corn
Sweet corn (Zea mays convar. saccharata var. rugosa) is a major economic vegetable crop. Different sweet corn cultivars vary largely in flavor, texture, and nutrition. The present study performed widely targeted metabolomics analysis based on the HPLC-MS/MS technology to analyze the metabolic profil...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | International Journal of Genomics |
| Online Access: | http://dx.doi.org/10.1155/2021/2654546 |
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| author | Ruichun Yang Yunfeng Li Yuanyuan Zhang Jun Huang Junjie Liu Zimei Lin Qinqin Yu Aimin Wu Bo Wang |
| author_facet | Ruichun Yang Yunfeng Li Yuanyuan Zhang Jun Huang Junjie Liu Zimei Lin Qinqin Yu Aimin Wu Bo Wang |
| author_sort | Ruichun Yang |
| collection | DOAJ |
| description | Sweet corn (Zea mays convar. saccharata var. rugosa) is a major economic vegetable crop. Different sweet corn cultivars vary largely in flavor, texture, and nutrition. The present study performed widely targeted metabolomics analysis based on the HPLC-MS/MS technology to analyze the metabolic profiles in three sweet corn cultivars widely grown in China. A total of 568 metabolites in the three sweet corn cultivars were detected, of which 262 differential metabolites significantly changed among cultivars. Carbohydrates, organic acids, and amino acids were the majority detected primary metabolites. Organic acids were mainly concentrated on shikimate, benzoic acids, and quinic acid with aromatic groups. And the essential amino acids for the human body, methionine and threonine, were highly accumulated in the high-quality cultivar. In addition, phenylpropanoids and alkaloids were the most enriched secondary metabolites while terpenes were low-detected in sweet corn kernels. We found that the flavonoids exist in both free form and glycosylated form in sweet corn kernels. PCA and HCA revealed clear separations among the three sweet corn cultivars, suggesting distinctive metabolome profiles among three cultivars. The differential metabolites were mapped into flavonoid biosynthesis, phenylpropanoid biosynthesis, biosynthesis of amino acids, and other pathways according to the KEGG classification. Furthermore, we identified skimmin, N′,N″-diferuloylspermidine, and 3-hydroxyanthranilic acid as the key quality-related metabolites related to grain quality traits in sweet corn. The results suggested variations of metabolic composition among the three cultivars, providing the reference quality-related metabolites for sweet corn breeding. |
| format | Article |
| id | doaj-art-3a1065454ced4bc08444bcad3e875a3a |
| institution | Kabale University |
| issn | 2314-436X 2314-4378 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Genomics |
| spelling | doaj-art-3a1065454ced4bc08444bcad3e875a3a2025-02-03T01:20:48ZengWileyInternational Journal of Genomics2314-436X2314-43782021-01-01202110.1155/2021/26545462654546Widely Targeted Metabolomics Analysis Reveals Key Quality-Related Metabolites in Kernels of Sweet CornRuichun Yang0Yunfeng Li1Yuanyuan Zhang2Jun Huang3Junjie Liu4Zimei Lin5Qinqin Yu6Aimin Wu7Bo Wang8Guangdong Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, 510642 Guangdong, ChinaGuangdong Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, 510642 Guangdong, ChinaGuangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, College of Forestry and Landscape Architectures, South China Agricultural University, 510642 Guangdong, ChinaGuangdong Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, 510642 Guangdong, ChinaGuangdong Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, 510642 Guangdong, ChinaGuangdong Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, 510642 Guangdong, ChinaGuangdong Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, 510642 Guangdong, ChinaState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, 510642 Guangzhou, ChinaGuangdong Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, 510642 Guangdong, ChinaSweet corn (Zea mays convar. saccharata var. rugosa) is a major economic vegetable crop. Different sweet corn cultivars vary largely in flavor, texture, and nutrition. The present study performed widely targeted metabolomics analysis based on the HPLC-MS/MS technology to analyze the metabolic profiles in three sweet corn cultivars widely grown in China. A total of 568 metabolites in the three sweet corn cultivars were detected, of which 262 differential metabolites significantly changed among cultivars. Carbohydrates, organic acids, and amino acids were the majority detected primary metabolites. Organic acids were mainly concentrated on shikimate, benzoic acids, and quinic acid with aromatic groups. And the essential amino acids for the human body, methionine and threonine, were highly accumulated in the high-quality cultivar. In addition, phenylpropanoids and alkaloids were the most enriched secondary metabolites while terpenes were low-detected in sweet corn kernels. We found that the flavonoids exist in both free form and glycosylated form in sweet corn kernels. PCA and HCA revealed clear separations among the three sweet corn cultivars, suggesting distinctive metabolome profiles among three cultivars. The differential metabolites were mapped into flavonoid biosynthesis, phenylpropanoid biosynthesis, biosynthesis of amino acids, and other pathways according to the KEGG classification. Furthermore, we identified skimmin, N′,N″-diferuloylspermidine, and 3-hydroxyanthranilic acid as the key quality-related metabolites related to grain quality traits in sweet corn. The results suggested variations of metabolic composition among the three cultivars, providing the reference quality-related metabolites for sweet corn breeding.http://dx.doi.org/10.1155/2021/2654546 |
| spellingShingle | Ruichun Yang Yunfeng Li Yuanyuan Zhang Jun Huang Junjie Liu Zimei Lin Qinqin Yu Aimin Wu Bo Wang Widely Targeted Metabolomics Analysis Reveals Key Quality-Related Metabolites in Kernels of Sweet Corn International Journal of Genomics |
| title | Widely Targeted Metabolomics Analysis Reveals Key Quality-Related Metabolites in Kernels of Sweet Corn |
| title_full | Widely Targeted Metabolomics Analysis Reveals Key Quality-Related Metabolites in Kernels of Sweet Corn |
| title_fullStr | Widely Targeted Metabolomics Analysis Reveals Key Quality-Related Metabolites in Kernels of Sweet Corn |
| title_full_unstemmed | Widely Targeted Metabolomics Analysis Reveals Key Quality-Related Metabolites in Kernels of Sweet Corn |
| title_short | Widely Targeted Metabolomics Analysis Reveals Key Quality-Related Metabolites in Kernels of Sweet Corn |
| title_sort | widely targeted metabolomics analysis reveals key quality related metabolites in kernels of sweet corn |
| url | http://dx.doi.org/10.1155/2021/2654546 |
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