Amplicon Sequencing Reveals Novel Fungal Species Responsible for a Controversial Tea Disease.
Amplicon Sequencing Reveals Novel Fungal Species Responsible for a Controversial Tea Disease.
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扩增子测序揭示了导致有争议的茶病的新真菌物种
DOI：
10.3390/jof8080782
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发表时间：
2022-07-26
期刊：
影响因子：
4.7
通讯作者：
Xu, Wenxing
中科院分区：
文献类型：
--
作者：
He, Yunqiang;Li, Yan;Song, Yulin;Hu, Xingming;Liang, Jinbo;Shafik, Karim;Ni, Dejiang;Xu, Wenxing
关键词：
扩增子测序是分析植物内部真菌组成的有力工具，但其在植物病害病原学鉴定中的应用尚不明确。在这里，我们利用这种策略来澄清茶叶褐黑斑病（LBSD）的病因学，这是一种感染茶树的值得注意的疾病，病因学仍然存在争议。基于its扩增子测序分析，鉴定Didymella属与拟盘多毛孢属（Pestalotiopsis spp.）和Cercospora sp.分离，为病原菌。真菌的分离及其对不同茶叶品种的特异致病性进一步证实了这一点。基于ITS、LSU、tub2和rpb2多位点构建的形态学和系统发育分析，提出并鉴定了两个新的Didymella属（暂称D. theae和D. theifolia），以参考其寄主植物。在这里，我们提出了一种基于its的扩增子测序结合真菌分离的综合方法，并实现了茶树疾病病原学鉴定的Koch假设，揭示了LBSD的新病因。这为基于扩增子测序的植物病害的进一步病原学鉴定以及对这一重要经济疾病的理解、预防和管理提供了有用的信息。
Amplicon sequencing is a powerful tool for analyzing the fungal composition inside plants, whereas its application for the identification of etiology for plant diseases remains undetermined. Here, we utilize this strategy to clarify the etiology responsible for tea leaf brown-black spot disease (LBSD), a noticeable disease infecting tea plants etiology that remains controversial. Based on the ITS-based amplicon sequencing analysis, Didymella species were identified as separate from Pestalotiopsis spp. and Cercospora sp., which are concluded as the etiological agents. This was further confirmed by the fungal isolation and their specific pathogenicity on diverse tea varieties. Based on the morphologies and phylogenetic analysis constructed with multi-loci (ITS, LSU, tub2, and rpb2), two novel Didymella species—tentatively named D. theae and D. theifolia as reference to their host plants—were proposed and characterized. Here, we present an integrated approach of ITS-based amplicon sequencing in combination with fungal isolation and fulfillment of Koch’s postulates for etiological identification of tea plant disease, revealing new etiology for LBSD. This contributes useful information for further etiological identification of plant disease based on amplicon sequencing, as well as understanding, prevention, and management of this economically important disease.
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