Multi-Omics Roadmap to Plant-Derived Medicines

Medicinal plants are invaluable sources of bioactive natural products or metabolites, however the discovery and sustainable utilization of these metabolites remain challenging. Genomic resources now provide a foundation for elucidating biosynthetic pathways that enable metabolic engineering and high-yield breeding. While genomic studies in medicinal plants have long lagged behind those on model species, next-generation sequencing has accelerated progress. Capitalizing on this genomic expansion, we systematically reviewed advancements in sequencing and assembly and analyzed more than 400 publicly available medicinal plant genomes. These resources, though variable in quality and phylogenetically biased (i.e., angiosperm-dominated), allow for multi-omics analysis of biosynthetic pathways. Single-cell RNA sequencing resolves cell-type-specific expression of biosynthetic genes, while emerging spatial transcriptomic and metabolomic techniques map metabolite distributions. Key findings reveal that small and large gene duplications drive the diversity of metabolites. Comparative genomics has identified copy number variations in critical enzyme families and divergent evolution of biosynthetic gene clusters. Further development of sustainable high-yield varieties of medicinal plants requires the integration of multi-omics technologies with systems biology for pathway refinement, enzyme engineering, and the deployment of genome-enabled molecular breeding.

Institutions

Publication Details

Journal
Engineering
Published
2025-10-01
DOI
https://doi.org/10.1016/j.eng.2025.10.019
Citations
5
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
4.03
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article

Multi-Omics Roadmap to Plant-Derived Medicines

5 citations
Engineering
Plant Gene Expression Analysis
4.03
article

Multi-Omics Roadmap to Plant-Derived Medicines

article en
5 citations

Abstract

Medicinal plants are invaluable sources of bioactive natural products or metabolites, however the discovery and sustainable utilization of these metabolites remain challenging. Genomic resources now provide a foundation for elucidating biosynthetic pathways that enable metabolic engineering and high-yield breeding. While genomic studies in medicinal plants have long lagged behind those on model species, next-generation sequencing has accelerated progress. Capitalizing on this genomic expansion, we systematically reviewed advancements in sequencing and assembly and analyzed more than 400 publicly available medicinal plant genomes. These resources, though variable in quality and phylogenetically biased (i.e., angiosperm-dominated), allow for multi-omics analysis of biosynthetic pathways. Single-cell RNA sequencing resolves cell-type-specific expression of biosynthetic genes, while emerging spatial transcriptomic and metabolomic techniques map metabolite distributions. Key findings reveal that small and large gene duplications drive the diversity of metabolites. Comparative genomics has identified copy number variations in critical enzyme families and divergent evolution of biosynthetic gene clusters. Further development of sustainable high-yield varieties of medicinal plants requires the integration of multi-omics technologies with systems biology for pathway refinement, enzyme engineering, and the deployment of genome-enabled molecular breeding.

Engineering
Nanjing Agricultural University (CN), Ghent University (BE), VIB-UGent Center for Plant Systems Biology (BE), State Forestry and Grassland Administration (CN), Northeast Forestry University (CN), University of Pretoria (ZA)
Responsible consumption and production
Openalex Percentile: Top 6%
Plant Gene Expression Analysis
4.03
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Multi-Omics Roadmap to Plant-Derived Medicines · Engineering (2025) | TGRS Research Map | TGRS