Evidence map›Paper›PMID 38965141›Full record

ArticleScience China. Life sciences2024

Decoding the biochemical dialogue: metabolomic insights into soybean defense strategies against diverse pathogens.

Min Qiu, Mengjun Tian, Yaru Sun, Huaibo Li, Wenwen Huang, Haibing Ouyang, Shaoyan Lin, Chen Zhang, Ming Wang, Yuanchao Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Science China. Life sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Enhanced resistance toFrontiers in plant science · 2026
    Article
  3. Metabolomics navigates natural variation in pathogen-induced secondary metabolism across soybean cultivar populations.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Min QiuSanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
Mengjun TianSanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
Yaru SunSanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
Huaibo LiSanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
Wenwen HuangSanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
Haibing OuyangSanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
Shaoyan LinChina State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, 210095, China.
Chen ZhangSanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.
Ming WangSanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China. mwang@njau.edu.cn.
Yuanchao WangSanya Institute of Nanjing Agricultural University, Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China. wangyc@njau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Glycine maxIsoflavonesMetabolomicsPlant DiseasesChromatography, LiquidDisease ResistanceFlavonoidsGenisteinHost-Pathogen InteractionsMetabolomePhytophthoraTandem Mass SpectrometrydaidzeinFlavonoidsformononetinGenisteinglyciteinIsoflavonesantimicrobial compoundsflavonoidsisoflavonoidsmetabolomesecondary metabolitessoybeansoybean-pathogens interactiontriterpenoids

Identifiers

PMID38965141

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.