Yarrowia lipolytica increased the activities of disease defense related enzymes and anti-fungal compounds in asparagus (Asparagus officinalis)

芦笋 雅罗维亚 生物 增殖镰刀菌 官房 食品科学 酵母 微生物学 植物 镰刀菌 生物化学
作者
Esa Abiso Godana,Xiaoyun Zhang,Qiya Yang,Wanying Hu,Lina Zhao,Kaili Wang,Hongyin Zhang
出处
期刊:Pesticide Biochemistry and Physiology [Elsevier BV]
卷期号:198: 105748-105748 被引量:2
标识
DOI:10.1016/j.pestbp.2023.105748
摘要

Fungal diseases pose significant threats to the production of asparagus, resulting in economic losses and decreased crop quality. The potential of the yeast Yarrowia lipolytica as a biocontrol agent against Fusarium proliferatum, a common pathogen of asparagus, was investigated in this study. The effects of Y. lipolytica treatment on decay incidence, disease index, and activities of major disease defense-related enzymes were investigated. In addition, we examined the levels of antifungal compounds such as total phenols, flavonoids, and lignin in asparagus plants exposed to Y. lipolytica. The results showed that Y. lipolytica treatment significantly reduced decay incidence and disease index caused by F. proliferatum when compared to the control group. Furthermore, Y. lipolytica-treated plants showed increased activity of disease defense-related enzymes, indicating that defense responses were activated. The activities of all evaluated enzymes were significantly higher in Y. lipolytica-treated asparagus, indicating an improved ability to combat fungal pathogens. Furthermore, Y. lipolytica treatment increased the content of antifungal compounds such as total phenols, flavonoids, and lignin, which are known to possess antimicrobial properties. These findings highlight the potential of Y. lipolytica as a biocontrol agent for fungal diseases in asparagus crops. The ability of Y. lipolytica to reduce disease incidence, boost disease defense-related enzymes, and increase antifungal compound content provides valuable insights into its efficacy as a natural and sustainable approach to disease management. However, further investigations are needed to optimize application methods and determine its efficacy under field conditions.
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