da13998442860的个人博客分享 http://blog.sciencenet.cn/u/da13998442860

博文

揭示药用植物代谢物多样性的进化和空间动态Research Topic is currently accepting

已有 490 次阅读 2025-12-1 20:11 |系统分类:博客资讯

Frontiers | Unveiling evolutionary and spatial dynamics of phytometabolite diversity in medicinal plants

Background揭示药用植物植物代谢物多样性的进化和空间动态

Recent advances in botanical sciences have highlighted the significance of understanding the evolutionary and biogeographic processes underlying phytometabolite diversity in medicinal plants. The intersection of phylogenetics and metabolomics, often termed pharmacophylogeny, has revealed that closely related plant lineages frequently share similar phytochemical profiles and medicinal properties. However, despite the development of frameworks such as pharmacophylomics for linking evolutionary relationships with chemical traits, fundamental questions remain regarding the ways in which spatial and ecological factors influence the distribution, diversity, and evolutionary trajectories of medicinally relevant metabolites. Notably, important gaps exist in our mechanistic comprehension of how evolutionary history and geographical gradients jointly structure hotspots of chemodiversity and drive the innovations critical for drug discovery and therapeutic development.A growing body of research has mapped both phylogenetic and metabolic diversity across various regions, uncovering biogeographic centers rich in unique phytochemicals. Studies integrating genomics, transcriptomics, and metabolomics have begun to unravel the biosynthetic pathways that underlie plant chemical diversity, while remote sensing and advanced bioinformatics enable finer-scale characterization of these traits across landscapes. Yet, ongoing debates persist regarding the roles of environmental drivers—such as climate, soil composition, and microbiome interactions—and historical events in shaping patterns of medicinal trait assembly. There remains a need for more robust, integrative approaches capable of disentangling correlation from causation, and translating evolutionary and biogeographic models into actionable tools for conservation and sustainable resource management.This Research Topic aims to advance the field by synthesizing evolutionary, spatial, and ecological perspectives to better understand the mechanisms that drive the diversity and distribution of medicinal phytometabolites. We seek to foster a transdisciplinary dialogue that leverages spatial phylogenetics, advanced omics, and predictive modeling to move beyond descriptive mapping and towards a mechanistic, predictive framework. Key objectives include addressing how evolutionary legacy, contemporary environments, and biotic interactions shape phytometabolite diversity; mapping the geographic and phylogenetic distribution of bioactive compounds; and elucidating the factors that give rise to medicinal hotspots. Ultimately, this initiative strives to inform biodiscovery, conservation, and the sustainable utilization of botanical resources under global change.To gather further insights in the evolutionary and spatial determinants of phytometabolite diversity in medicinal plants, we welcome studies that address empirical, theoretical, or methodological aspects within these boundaries. Contributions may include original research, reviews, short communications, and methodological papers focused on:o Evolutionary patterns and phylogenetic conservation/convergence of bioactive phytometaboliteso Spatial mapping of medicinal plant lineages and regional chemodiversityo Historical and contemporary ecological drivers (e.g., climate, soil, microbiome) of phytochemical evolutiono Integration of multi-omics data for pathway elucidation in spatial and phylogenetic contextso Predictive modeling of phytometabolite presence in unexplored or understudied plant taxao Innovative technologies or bioinformatics for integrating spatial, phylogenetic, and chemical datasetsWe encourage a wide range of article types including original research, reviews, short communications, and technology and methods papers.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

  • Editorial

  • FAIR² Data

  • Hypothesis and Theory

  • Methods

  • Mini Review

  • Opinion

  • Original Research

  • Perspective

  • Review

  • ... View all formats

Submission deadlines

  1. Manuscript Summary Submission Deadline 22 February 2026 | Manuscript Submission Deadline 12 June 2026

  2. This Research Topic is currently accepting articles.



https://blog.sciencenet.cn/blog-3431719-1512531.html

上一篇:[转载]2025年全球前2%顶尖科学家榜单(第八版)(World top 2% scientists)
收藏 IP: 175.162.6.*| 热度|

1 王涛

该博文允许注册用户评论 请点击登录 评论 (0 个评论)

数据加载中...

Archiver|手机版|科学网 ( 京ICP备07017567号-12 )

GMT+8, 2025-12-5 21:46

Powered by ScienceNet.cn

Copyright © 2007- 中国科学报社

返回顶部