Metabolomics navigates natural variation in pathogen- induced secondary metabolism across soybean cultivar populations

• 成果类型: Article
• 署名作者: Tian, Mengjun; Sun, Yaru; Zhang, Guodong; Xu, Yufei; Zhu, Jiang; Huang, Wenwen; Wang, Yizhan; Zhang, Bingcui; Li, Zhiyuan; Lin, Shaoyan; Zhang, Fang; Ma, Zhenchuan; Gan, Xiangchao; Tan, Junjie; Chen, Yu; Li, Suhua; Gai, Junyi; Xing, Guangnan; Wang, Ming; Wang, Yuanchao
• 署名单位: Nanjing Agricultural University; Nanjing Agricultural University; Chinese Academy of Sciences; Nanjing Agricultural University; Nanjing Agricultural University; Nanjing Agricultural University; Nanjing Agricultural University; Guangdong Laboratory for Lingnan Modern Agriculture; Chinese Academy of Agricultural Sciences; Agriculture Genomes Institute at Shenzhen, CAAS
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-12425
• DOI: 10.1073/pnas.2505532122
• 发表日期: 2025-08-26
• 关键词: pterocarpan synthase; vestitone reductase; phytophthora-sojae; DEFENSE; biosynthesis; dehydratase; medicarpin; infection; disease; alfalfa

摘要

Phytophthora sojae- induced root rot poses a major threat to soybean production. While the molecular mechanisms underlying soybean-P. sojae interactions have been extensively studied, their biochemical basis remains largely unexplored. Previous research has identified key metabolic modules involved in pathogen defense, but structural diversity has largely been constrained by studies on single soybean accessions. Here, we broadened the chemical search space to a diverse soybean germplasm collection using high- throughput metabolomics as a powerful tool for comprehensive metabolic profiling. Chemical classes of lipids and phenylpropanoids again retrieved the most pronounced responses upon P. sojae infection in general. A two- layer analytical strategy accumulation patterns, leading to the identification of cinnamaldehyde and coumestrol inhibited cyst germination and mycelial growth, and coumestrol, a benzofuran- type metabolite, exhibited broad- spectrum activity against spore germination as an identified the necessity of integrating bioinformatics with experimental validation to accurately