Integrative transcriptome and metabolome analysis reveals the mechanisms of light-induced pigmentation in purple waxy maize.

Yuan Lu, Yao Yu, Yanfang Xuan, Ayiguli Kari, Caixia Yang, Chenyu Wang, Chao Zhang,Wei Gu,Hui Wang,Yingxiong Hu,Pingdong Sun,Yuan Guan,Wenshuai Si,Bing Bai,Xuecai Zhang,Yunbi Xu,Boddupalli M Prasanna, Biao Shi,Hongjian Zheng

Frontiers in plant science(2023)

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摘要
Introduction:Waxy maize, mainly consumed at the immature stage, is a staple and vegetable food in Asia. The pigmentation in the kernel of purple waxy maize enhances its nutritional and market values. Light, a critical environmental factor, affects anthocyanin biosynthesis and results in pigmentation in different parts of plants, including in the kernel. SWL502 is a light-sensitive waxy maize inbred line with purple kernel color, but the regulatory mechanism of pigmentation in the kernel resulting in purple color is still unknown. Methods:In this study, cyanidin, peonidin, and pelargonidin were identified as the main anthocyanin components in SWL502, evaluated by the ultra-performance liquid chromatography (UPLC) method. Investigation of pigment accumulation in the kernel of SWL502 was performed at 12, 17, and 22 days after pollination (DAP) under both dark and light treatment conditions via transcriptome and metabolome analyses. Results:Dark treatment affected genes and metabolites associated with metabolic pathways of amino acid, carbohydrate, lipid, and galactose, biosynthesis of phenylpropanoid and terpenoid backbone, and ABC transporters. The expression of anthocyanin biosynthesis genes, such as 4CL2CHSF3HUGTLRL1myc7bHLH125PIF1BH093PIL5MYBS1BH074RVE6MYB4MY1R1MYB145Discussion:This study is the first report to investigate the effects of light on waxy maize kernel pigmentation and the underlying mechanism at both transcriptome and metabolome levels, and the results from this study are valuable for future research to better understand the effects of light on the regulation of plant growth.
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关键词
waxy maize, anthocyanin, light, transcriptomics, metabolomics
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