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The integration of multi-omics technologies with artificial intelligence (AI) has brought revolutionary breakthroughs in systematically analyzing the complex biosynthetic and regulatory networks of active ingredients in medicinal plants. This chapter showcases this advanced research paradigm by focusing on the renowned traditional Chinese medicine, Codonopsis pilosula (DangShen, 党参), and systematically elucidates how this integrated strategy is applied to reveal the synthesis and accumulation mechanisms of its core medicinal components, such as polyacetylene compounds. Through the in-depth mining of key gene families, comparative multi-omics analysis across different germplasms and tissues, and the examination of plant-pathogen interactions, the chapter provides a comprehensive demonstration of the powerful analytical capabilities and application prospects of this cutting-edge approach in the study of medicinal plant resources.

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Multi-Omics Technology and Artificial Intelligence Data Model Applied in Revealing the Synthesis and Accumulation of Medicinal Ingredients of the Medicinal Plant Codonopsis pilosula (Franch.) Nannf.

  • 章节

  • 发表日期：

    2026年

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  • Ning Zhu,
  • Xinyi Liu,
  • Wenying Wang,
  • Yali Guo,
  • Yonggang Wang

摘要

The integration of multi-omics technologies with artificial intelligence (AI) has brought revolutionary breakthroughs in systematically analyzing the complex biosynthetic and regulatory networks of active ingredients in medicinal plants. This chapter showcases this advanced research paradigm by focusing on the renowned traditional Chinese medicine, Codonopsis pilosula (DangShen, 党参), and systematically elucidates how this integrated strategy is applied to reveal the synthesis and accumulation mechanisms of its core medicinal components, such as polyacetylene compounds. Through the in-depth mining of key gene families, comparative multi-omics analysis across different germplasms and tissues, and the examination of plant-pathogen interactions, the chapter provides a comprehensive demonstration of the powerful analytical capabilities and application prospects of this cutting-edge approach in the study of medicinal plant resources.