数字农科院2.0

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

文献类型： 外文期刊

作者： Mengjun Tian;Yaru Sun;Guodong Zhang;Yufei Xu;Jiang Zhu;Wenwen Huang;Yizhan Wang;Bingcui Zhang;Zhiyuan Li;Shaoyan Lin;Fang Zhang;Zhenchuan Ma;Xiangchao Gan;Junjie Tan;Yu Chen;Suhua Li;Junyi Gai;Guangnan Xing;Ming Wang;Yuanchao Wang

作者机构：

关键词： coumestrol;metabolomics;Phytophthora sojae;resistant-related metabolites;soybean

期刊名称： Proceedings of the National Academy of Sciences of the United States of America

ISSN： 1091-6490

年卷期： 2025 年 122 卷 34 期

页码：

收录情况： SCIE（2025版）

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 further finely resolved metabolites into pathogenesis-, resistance-, and tolerance-type accumulation patterns, leading to the identification of cinnamaldehyde and coumestrol as potent defense metabolites. Bioassays validated cinnamaldehyde directly and strongly inhibited cyst germination and mycelial growth, and coumestrol, a benzofuran-type metabolite, exhibited broad-spectrum activity against spore germination as an identified phytoalexin. Multiomics analyses nailed down the candidate of coumestrol biosynthesis genes, and genetically overexpression of regulatory genes (Dir2a/4a/4b) in hairy root systems increased coumestrol accumulation thus positively correlating with improved host resistance. Interestingly, tolerance-type compounds may serve distinct ecological roles, as exemplified by daidzein, which, despite being classified as a tolerance-type metabolite, recruits more zoospores facilitating secondary infection in fact. This study highlights a systematic approach for population-level investigations and emphasizes the necessity of integrating bioinformatics with experimental validation to accurately predict metabolite or gene ecological functions.

分类号：

  • 相关文献

[1]Analysis of simple sequence repeats markers derived from Phytophthora sojae expressed sequencetags. Zhu, ZD,Huo, YL,Wang, XM,Huang, JB,Wu, XF. 2004

[2]Identification and Molecular Characterization of RWP-RK Transcription Factors in Soybean. Nooral Amin,Naveed Ahmad,Mohamed A.S. Khalifa,Yeyao Du,Ajmal Mandozai,Aimal Nawaz Khattak,Wang Piwu. 2023

[3]A soybean NAC homolog contributes to resistance to Phytophthora sojae mediated by dirigent proteins. Guolong Yu,Jianan Zou,Jinhui Wang,Rongsheng Zhu,Zhaoming Qi,Hongwei Jiang,Zhenbang Hu,Mingliang Yang,Ying Zhao,Xiaoxia Wu,Chunyan Liu,Candong Li,Xue Yang,Zhendong Zhu,Qingshan Chen,Yongfu Fu,Dawei Xin. 2022

[4]大豆疫霉根腐病抗性研究进展. 李魏,戴良英. 2016

[5]Untargeted mass spectrometry-based metabolomics approach unveils molecular changes in heat-damaged and normal soybean. Dong Zhu,Dongyan Guan,Bei Fan,Yufeng Sun,Fengzhong Wang. 2022

[6]The Succinate Dehydrogenase Pssdhb Is I.nvolved In Hyphal Morphology, C hemical Stress Response And Pathogenicity Of Phytophthora Sojae. Gao, Zhimou,Ye, Tao,Ye, Tao,Pan, Yuemin. 2018

[7]Detached-petiole inoculation method to evaluate Phytophthora root rot resistance in soybean plants. Li, Yinping,Sun, Suli,Zhong, Chao,Zhu, Zhendong.

[8]Whole Genome Re-sequencing Reveals Natural Variation and Adaptive Evolution of Phytophthora sojae. Zhang, Xiong,Liu, Bo,Zou, Fen,Wang, Rongbo,Shen, Danyu,Qian, Wanqiang,Fan, Wei,Tyler, Brett M.,Yin, Zhiyuan,Dou, Daolong,He, Feng,Zhang, Xiong,Dou, Daolong,Wang, Yuanchao. 2019

[9]Phenotypic evaluation and genetic dissection of resistance to Phytophthora sojae in the Chinese soybean mini core collection. Jing Huang,Na Guo,Yinghui Li,Jutao Sun,Guanjun Hu,Haipeng Zhang,Yanfei Li,Xing Zhang,Jinming Zhao,Han Xing,Lijuan Qiu. 2016

[10]Structure-based virtual screening of novel chitin synthase inhibitors for the control of Phytophthora sojae. Liu, Yuansheng,Liu, Jinfeng,Xia, Yeqiang,Chen, Wei,Li, Yingchen,He, Xiao,Yang, Qing. 2024

[11]Comparative Effect Of Black, Green, O.olong, And White Tea I ntake On Weight Gain And Bile Acid Metabolism. Xu, Hairong,Gaikwad, Nilesh W.,Ye, Jianhui,Sun, Lili. 2019

[12]Metabolic responses and "omics" technologies for elucidating the effects of heat stress in dairy cows. Min, Li,Zhao, Shengguo,Tian, He,Zhou, Xu,Zhang, Yangdong,Li, Songli,Zheng, Nan,Wang, Jiaqi,Min, Li,Yang, Hongjian.

[13]Metabolic map of mature maize kernels. Rao, Jun,Cheng, Fang,Hu, Chaoyang,Quan, Sheng,Lin, Hong,Wang, Jing,Chen, Guihua,Zhang, Dabing,Shi, Jianxin,Zhao, Xiangxiang,Alexander, Danny,Guo, Lining,Wang, Guoying,Lai, Jinsheng,Shi, Jianxin.

[14]Identification of diagnostic biomarkers and metabolic pathway shifts of heat-stressed lactating dairy cows. Tian, He,Zheng, Nan,Li, Songli,Zhang, Yangdong,Wang, Jiaqi,Wang, Weiyu,Cheng, Jianbo.

[15]Metabolomic biomarkers identify differences in milk produced by Holstein cows and other minor dairy animals. Yang, Yongxin,Zheng, Nan,Zhao, Xiaowei,Zhang, Yangdong,Han, Rongwei,Yang, Jinhui,Zhao, Shengguo,Li, Songli,Guo, Tongjun,Zang, Changjiang,Wang, Jiaqi,Yang, Yongxin,Zhao, Xiaowei.

[16]Sterol content in the artificial diet of Mythimna separata affects the metabolomics of Arma chinensis (Fallou) as determined by proton nuclear magnetic resonance spectroscopy. Liu, Chen-xi,Zhang, Li-sheng,Wang, Meng-qing,Chen, Hong-yin,Guo, Yi,Liu, Chen-xi,Zhang, Li-sheng,Wang, Meng-qing,Chen, Hong-yin.

[17]Complex molecular mechanisms underlying seedling salt tolerance in rice revealed by comparative transcriptome and metabolomic profiling. Wang, Wen-Sheng,Zhao, Xiu-Qin,Li, Min,Huang, Li-Yu,Xu, Jian-Long,Zhang, Fan,Cui, Yan-Ru,Fu, Bin-Ying,Li, Zhi-Kang,Li, Min,Xu, Jian-Long,Fu, Bin-Ying,Li, Zhi-Kang.

[18]Recent advancements in detecting sugar-based adulterants in honey - A challenge. Wu, Liming,Du, Bing,Chen, Lanzhen,Zhao, Liuwei,Wang, Miao,Xue, Xiaofeng,Wu, Liming,Chen, Lanzhen,Wang, Miao,Xue, Xiaofeng,Wu, Liming,Chen, Lanzhen,Wang, Miao,Xue, Xiaofeng,Vander Heyden, Yvan.

[19]Shifts in metabolomic profiles of the parasitoid Nasonia vitripennis associated with elevated cold tolerance induced by the parasitoid's diapause, host diapause and host diet augmented with proline. Li, Yuyan,Zhang, Lisheng,Chen, Hongyin,Li, Yuyan,Denlinger, David L.,Li, Yuyan,Denlinger, David L.,Kostal, Vladimir,Simek, Petr,Moos, Martin.

[20]Metabolomics analysis reveals large effect of roughage types on rumen microbial metabolic profile in dairy cows. Zhao, S.,Dong, Z.,Zhao, S.,Zhao, J.,Bu, D.,Sun, P.,Wang, J.,Zhao, J..

作者其他论文 更多>>