Metabonomic analysis reveals correlations between mycotoxins and secondary metabolites in Penicillium expansum cultures via time-of-flight mass spectrometry
文献类型： 外文期刊
作者： Liu, Shunbo 1 ; Shen, Youming 1 ; Ma, Ning 2 ; Jiang, Shan 1 ; Zhang, Jianyi 1 ; Kuang, Lixue 1 ; Xu, Guofeng 1 ;
作者机构： 1.Chinese Acad Agr Sci, Minist Agr & Rural Affairs Xingcheng, Res Inst Pomol, Minist Agr & Rural Affairs,Qual Inspect & Test Ctr, Xingcheng 125100, Liaoning, Peoples R China
2.Hebei Agr Univ, Coll Vet Med, Vet Biol Technol Innovat Ctr Hebei Prov, Baoding, Peoples R China
关键词： Penicillium expansum; Blue mold; Mycotoxin; Metabolite; Biomarker
期刊名称：FOOD CHEMISTRY-X （ 影响因子：8.2； 五年影响因子：8.2 ）
ISSN： 2590-1575
年卷期： 2025 年 27 卷
页码：
收录情况： SCI
摘要： Penicillium expansum is a major postharvest pathogen causing fruit decay and mycotoxin contamination. This study investigated the mycotoxin production and metabolic profiles of 91 P. expansum strains using metabolomic analysis. Six mycotoxins were identified, with patulin (PAT) and chaetoglobosin A being particularly prevalent at 77.56 and 45.58 mg & sdot;kg-1 respectively. Untargeted metabolomics profiled 506 metabolites, revealing a decrease in major metabolites during cultivation due to fungal assimilation. Comparative analysis between high-and low-PAT samples showed distinct metabolic signatures in organic acids, benzenoids, organoheterocyclic metabolites, which are linked to mycotoxin production pathways. These differential metabolites were used to build discriminant models, with random forest model achieving 98 % accuracy in distinguishing high-and low-PAT samples. Metabolites, mainly 3, 4-dihydroxybenzoic acid and 4-ketopimelic acid, were explored as potential biomarkers for PAT contamination diagnosis. This research enhances the understanding of P. expansum's metabolic diversity and supports improved fruit quality and safety control.
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