Integrated Metabolomic and Transcriptomic Analysis Reveals the Basis for the Difference in Flavonoid Accumulation in Six Medicinal Tissues of Lotus (Nelumbo nucifera Gaertn.)
Year: 2025
Type: article
Abstract: (1) Background: Lotus (Nelumbo nucifera Gaertn.) is an aquatic plant with a long history, with ornamental, edible, medicinal, and commercial value. All parts of lotus are important “homologous and different effects” medicinal herbs as distinct parts of the same plant with different medicinal effects. (2) Methods: Six representative medicinal parts of lotus were selected, i.e., lotus flower (Nelumbinis Flos, Flo), lotus petiolous (Nelumbinis Petiolus, Pet), lotus seedpod (Nelumbinis Receptaculum, Rec), lotus stamen (Nelumbinis Stamen, Sta), lotus seed (Nelumbinis Semen, Sem), and lotus plumule (Nelumbinis Plumula, Plu). Analyzed via UPLC-MS/MS for metabolite profiling and RNA sequencing for gene expression. Weighted gene co-expression network analysis identified several transcription factor families related to flavonoid synthesis. (3) Results: Distinct metabolite accumulation and gene expression patterns were observed, particularly in the flavonoid synthesis pathway. Key findings included important metabolic profiles in stamens, high flavonoid content in light-exposed tissues, and functional differentiation in seeds and plumules. The discovered transcription factor families are essential for flavonoid biosynthesis and contribute to molecular breeding and resource utilization. (4) Conclusion: This study provides an important theoretical basis for molecular breeding of lotus, quality control of medicinal materials, and the rational use of resources obtained from different medicinal parts of lotus.
Source: Applied Sciences
DOI: 10.3390/app15052319
Authors: Zhibiao Yu, Xiru Zhou, Yuanfang Luo, Lei Liang, Zheng Hu, Zhangfeng Ding, Yihao Jiang
Institution: Nanchang University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4407843745
