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Article|13 Nov 2023|OPEN
Multi-omics landscape to decrypt the distinct flavonoid biosynthesis of Scutellaria baicalensis across multiple tissues
Dandan Guo1,2 ,† , Zhenyu Zhu1,2 ,† , Zhe Wang3 , Fei Feng1,2 , Qi Cao1,2 and Zhewei Xia1,2 , Xinlei Jia1 , Diya Lv1,2 , Ting Han1 , , Xiaofei Chen,1,2 ,
1Pharmaceutical Analysis and Testing center, School of Pharmacy, Naval Medical University (Second Military Medical University), Shanghai, 200433, China
2Shanghai Key Laboratory for Pharmaceutical Metabolite Research, Shanghai, 200433, China
3Department of Physiology, College of Basic Medical Sciences, Naval Medical University (Second Military Medical University), Shanghai, 200433, China
*Corresponding author. E-mail: hanting@smmu.edu.cn,xfchen2010@163.com
Both authors contributed equally to the study.

Horticulture Research 11,
Article number: uhad258 (2024)
doi: https://doi.org/10.1093/hr/uhad258
Views: 19

Received: 31 Jul 2023
Accepted: 27 Nov 2023
Published online: 13 Nov 2023

Abstract

Scutellaria baicalensis Georgi, also known as huang-qin in traditional Chinese medicine, is a widely used herbal remedy due to its anticancer, antivirus, and hepatoprotective properties. The S. baicalensis genome was sequenced many years ago; by contrast, the proteome as the executer of most biological processes of S. baicalensis in the aerial parts, as well as the secondary structure of the roots (xylem, phloem, and periderm), is far less comprehensively characterized. Here we attempt to depict the molecular landscape of the non-model plant S. baicalensis through a multi-omics approach, with the goal of constructing a highly informative and valuable reference dataset. Furthermore, we provide an in-depth characterization dissection to explain the two distinct flavonoid biosynthesis pathways that exist in the aerial parts and root, at the protein and phosphorylated protein levels. Our study provides detailed spatial proteomic and phosphoproteomic information in the context of secondary structures, with implications for the molecular profiling of secondary metabolite biosynthesis in non-model medicinal plants.