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ORIGINAL RESEARCH article

Front. Plant Sci.
Sec. Plant Bioinformatics
Volume 15 - 2024 | doi: 10.3389/fpls.2024.1487613

Integrated metabolomic and proteomics analyses reveal the accumulation mechanism of bioactive components in Polygonatum odoratum

Provisionally accepted
Shuang Liang Shuang Liang Yang Zhao Yang Zhao *Junchen Liu Junchen Liu *Xicen Jiang Xicen Jiang *Bingxian Yang Bingxian Yang *Lin Zhang Lin Zhang Hongwei Fu Hongwei Fu *Zhuoheng Zhong Zhuoheng Zhong *
  • Zhejiang Sci-Tech University, Hangzhou, China

The final, formatted version of the article will be published soon.

    Polygonatum odoratum (MILL.) DRUCE is rich in bioactive components with high medicinal value. To maximize the clinical benefits, it is of great significance to efficiently extract key bioactive components from appropriate growth stages in which they are most abundant. In this study, we analyzed the changes of metabolite accumulation and protein expression in P. odoratum rhizomes at different growth stages using targeted metabolomics combined with proteomics, and identified a total of 1,237 differentially abundant metabolites (DAMs). Flavonoids accumulated most in winter, and the biosynthesis pathways associated with flavonoids, isoflavonoids, flavones and flavonols exhibited significant differentially expressed proteins (DEPs).Among them, PGT, FLS, CYP75B1, HIDH, IF7MAT, and UFT73C6 were positively correlated with flavonoid accumulation. Steroid saponins accumulated most in spring, and the biosynthetic pathways of steroid and brassinosteroid biosynthesis exhibited DEPs. Among them, FDFT1, TM7SF2, DHCR7, CAS1, and 3BETAHSDD were positively correlated with steroidal saponin accumulation. In summary, these results revealed the accumulation of secondary metabolites P. odoratum in different growth stages, which can provide an effective reference for the extraction of specific bioactive components and the study of their regulatory mechanisms.

    Keywords: Polygonatum odoratum, Steroidal saponins, Flavonoids, Metabolome, Proteome

    Received: 28 Aug 2024; Accepted: 19 Nov 2024.

    Copyright: © 2024 Liang, Zhao, Liu, Jiang, Yang, Zhang, Fu and Zhong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yang Zhao, Zhejiang Sci-Tech University, Hangzhou, China
    Junchen Liu, Zhejiang Sci-Tech University, Hangzhou, China
    Xicen Jiang, Zhejiang Sci-Tech University, Hangzhou, China
    Bingxian Yang, Zhejiang Sci-Tech University, Hangzhou, China
    Hongwei Fu, Zhejiang Sci-Tech University, Hangzhou, China
    Zhuoheng Zhong, Zhejiang Sci-Tech University, Hangzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.