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致病性相关效应蛋白的鉴定以及Piwsc1在对柑橘果实致病力中的作用

Identification of Pathogenicity-Related Effector Proteins and the Role of Piwsc1 in the Virulence of on Citrus Fruits.

作者信息

Li Xiaoying, Yang Shuzhen, Zhang Meihong, Yang Yanting, Peng Litao

机构信息

College Key Laboratory of Environment Correlative Dietology, Ministry of Education, College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.

出版信息

J Fungi (Basel). 2022 Jun 20;8(6):646. doi: 10.3390/jof8060646.

Abstract

Blue mold caused by is one of the two major postharvest diseases of citrus fruits. The interactions of pathogens with their hosts are complicated, and virulence factors that mediate pathogenicity have not yet been identified. In present study, a prediction pipeline approach based on bioinformatics and transcriptomic data is designed to determine the effector proteins of . Three hundred and seventy-five secreted proteins of were identified, many of which (29.07%) were enzymes for carbohydrate utilization. Twenty-nine candidates were further analyzed and the expression patterns of 12 randomly selected candidate effector genes were monitored during the early stages of growth on PDA and infection of Navel oranges for validation. Functional analysis of a cell wall integrity-related gene a core candidate, was performed by gene knockout. The deletion of resulted in reduced virulence on citrus fruits, as presented by an approximate 57% reduction in the diameter of lesions. In addition, the mycelial growth rate, spore germination rate, and sporulation of Δ decreased. The findings provide us with new insights to understand the pathogenesis of and develop an effective and sustainable control method for blue mold.

摘要

由[病原菌名称未给出]引起的青霉病是柑橘类水果采后两种主要病害之一。病原菌与其寄主之间的相互作用很复杂,介导致病性的毒力因子尚未确定。在本研究中,设计了一种基于生物信息学和转录组数据的预测流程方法来确定[病原菌名称未给出]的效应蛋白。鉴定出了[病原菌名称未给出]的375种分泌蛋白,其中许多(29.07%)是碳水化合物利用酶。对29个候选蛋白进行了进一步分析,并在PDA上生长早期以及感染脐橙期间监测了12个随机选择的候选效应基因的表达模式以进行验证。通过基因敲除对一个与细胞壁完整性相关的核心候选基因[基因名称未给出]进行了功能分析。[基因名称未给出]的缺失导致对柑橘类水果的毒力降低,病斑直径大约减少57%。此外,Δ[突变体名称未给出]的菌丝生长速率、孢子萌发率和产孢量均下降。这些发现为我们理解[病原菌名称未给出]的致病机制以及开发一种有效且可持续的青霉病防治方法提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a8/9224591/3356959fb81c/jof-08-00646-g001.jpg

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