利用代谢组学方法研究杀菌剂的作用模式和植物病原体的相应抗药性

Zhaochen Wu , Ziqi Liu , Zhihong Hu , Tingting Wang , Lijie Teng , Tan Dai , Pengfei Liu , Jianjun Hao , Xili Liu
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引用次数: 0

摘要

杀菌剂是植物病害控制中不可或缺的工具。不同的杀菌剂具有不同的作用模式(MOA),可抑制植物病原体。为防止病原体产生抗药性,建议联合使用具有不同作用方式的杀菌剂。在研究 MOAs 时,代谢组学已被证明是一种可靠的高通量方法。由于代谢物根据生物体的生物活性而具有独特性和差异性,因此可以通过建立代谢指纹图谱和代谢图谱来识别和分类 MOA。同样,如果病原体对杀真菌剂产生抗药性,代谢组就会发生变化,这也是可以识别的。在这篇综述中,我们讨论了代谢组学在研究杀菌剂的作用机制和抗性机理方面的原理和先进应用,以及代谢数据在理解杀菌剂与病原体之间相互作用方面的潜力。此外,还讨论了代谢组学在应用中面临的挑战、改进杀菌剂对病原体作用机制的研究以及推动新型杀菌剂的开发。
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Utilizing metabolomic approach to study the mode of action of fungicides and corresponding resistance in plant pathogens

Fungicides are an indispensable tool in plant disease control. Various modes of action (MOAs) have been identified in different fungicides to suppress plant pathogens. The combined use of fungicides with distinct MOAs has been recommended to prevent the development of pathogen resistance. In studying MOAs, metabolomics has been proven to be a robust and high-throughput method. Because metabolites are unique and distinct depending on the biological activities of an organism, MOAs can be identified and classified by establishing metabolic fingerprinting and metabolic profiles. Similarly, if fungicide resistance is developed in a pathogen, the metabolome will change, which can be identified. In this review, we have discussed the principles and advanced applications of metabolomics in the study of MOAs and resistance mechanisms of fungicides, and the potential of metabolic data in understanding the interaction between fungicides and pathogens. Challenges are also discussed in the application of metabolomics, improvement of the study on the mechanism of fungicides in their functions against pathogens and advancing the development of novel fungicides.

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