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Decoding the biochemical dialogue: metabolomic insights into soybean defense strategies against diverse pathogens.
Qiu, Min; Tian, Mengjun; Sun, Yaru; Li, Huaibo; Huang, Wenwen; Ouyang, Haibing; Lin, Shaoyan; Zhang, Chen; Wang, Ming; Wang, Yuanchao.
Afiliação
  • Qiu M; Sanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
  • Tian M; The Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing, 210095, China.
  • Sun Y; Key Laboratory of Soybean Disease and Pest Control (Ministry of Agriculture and Rural Affairs), Nanjing Agricultural University, Nanjing, 210095, China.
  • Li H; Sanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
  • Huang W; Sanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
  • Ouyang H; Sanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
  • Lin S; Sanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
  • Zhang C; Sanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
  • Wang M; China State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, 210095, China.
  • Wang Y; Sanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
Sci China Life Sci ; 2024 Jul 01.
Article em En | MEDLINE | ID: mdl-38965141
ABSTRACT
Soybean, a crucial global leguminous crop, confronts persistent threats from diverse pathogens, exerting a profound impact on global yields. While genetic dimensions of soybean-pathogen interactions have garnered attention, the intricate biochemical responses remain poorly elucidated. In this study, we applied targeted and untargeted liquid chromatography coupled to mass spectrometry (LC-MS) metabolite profiling to dissect the complex interplay between soybeans and five distinct pathogens. Our analysis uncovered 627 idMS/MS spectra, leading to the identification of four main modules, encompassing flavonoids, isoflavonoids, triterpenoids, and amino acids and peptides, alongside other compounds such as phenolics. Profound shifts were observed in both primary and secondary metabolism in response to pathogenic infections. Particularly notable were the bidirectional changes in total flavonoids across diverse pathogenic inoculations, while triterpenoids exhibited a general declining trend. Noteworthy among the highly inducible total flavonoids were known representative anti-pathogen compounds (glyceollin I), backbone forms of isoflavonoids (daidzein, genistein, glycitein, formononetin), and newly purified compounds in this study (prunin). Subsequently, we delved into the biological roles of these five compounds, validating their diverse functions against pathogens prunin significantly inhibited the vegetative growth and virulence of Phytophthora sojae; genistein exhibited a pronounced inhibitory effect on the vegetative growth and virulence of Phomopsis longicolla; daidzein and formononetin displayed significant repressive effects on the virulence of P. longicolla. This study underscores the potent utility of metabolomic tools, providing in-depth insights into plant-pathogen interactions from a biochemical perspective. The findings not only contribute to plant pathology but also offer strategic pathways for bolstering plant resistance against diseases on a broader scale.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci China Life Sci Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci China Life Sci Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China