Comprehensive Genomic and Proteomic Analysis Identifies Effectors of Fusarium oxysporum f. sp. melongenae
文献类型： 外文期刊
作者： Wu, Jiayelu 1 ; Wang, Pengfei 1 ; Wang, Wuhong 2 ; Hu, Haijiao 2 ; Wei, Qingzhen 2 ; Bao, Chonglai 2 ; Yan, Yaqin 2 ;
作者机构： 1.Zhejiang Acad Agr Sci, Inst Vegetable, Hangzhou 310021, Peoples R China
2.Zhejiang Normal Univ, Jinhua 321004, Peoples R China
关键词：
effector proteins;
期刊名称：JOURNAL OF FUNGI （ 影响因子：4.0； 五年影响因子：4.5 ）
ISSN：
年卷期： 2024 年 10 卷 12 期
页码：
收录情况： SCI
摘要： Fusarium wilt in eggplant caused by F. oxysporum f. sp. melongenae is a major devastating soil-borne disease on a worldwide scale. Effectors play important roles in the interactions in pathogen-plant interactions. Identifying effectors is essential for elucidating the pathogenic mechanisms of phytopathogenic fungi. In this study, bioinformatic prediction approaches, including SignalP v5.0, TMHMM v2.0, WoLF PSORT, PredGPI, and EffectorP, were employed to screen for candidate secreted effector proteins (CSEPs) in F. oxysporum f. sp. melongenae. A total of 1019 proteins exhibiting characteristics typical of classical secretory proteins were identified, 301 of which demonstrated carbohydrate activity, and 194 CSEPs were identified. Furthermore, a total of 563 proteins from F. oxysporum f. sp. melongenae under induced conditions were identified using mass spectrometry-based label-free quantitative proteomics. These findings suggest a potential role of these CSEPs in the interaction between F. oxysporum f. sp. melongenae and eggplant, thereby contributing to a deeper understanding of the pathogenic mechanisms of F. oxysporum f. sp. melongenae and strategies for disease management.
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