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中国作物常见菌物病害及其病原名录——主要粮食和油料作物 被引量:3
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作者 倪怡清子 李玉 刘淑艳 《菌物研究》 CAS CSCD 2023年第4期247-274,244,共29页
菌物病害是植物病害中占比最大的一类,为害重且分布广,对农业生产造成严重损失。有效防控植物病害的基础是对病原物进行正确鉴定,而学名是病原物的信息载体。随着菌物分类学研究的不断深入,其命名规则也在不断变化。墨尔本和深圳两届国... 菌物病害是植物病害中占比最大的一类,为害重且分布广,对农业生产造成严重损失。有效防控植物病害的基础是对病原物进行正确鉴定,而学名是病原物的信息载体。随着菌物分类学研究的不断深入,其命名规则也在不断变化。墨尔本和深圳两届国际植物学大会确定和完善了《国际藻类、菌物和植物命名法规》,自此菌物的命名开始实行“一菌一名”规则。但许多非菌物分类工作者难以跟踪菌物名称最新变更,这使得植物病原菌物名称的使用较为混乱,因此菌物学名统一问题亟待解决。从《中国农作物病虫害》第三版筛选中国常见农作物菌物病害将其分为三部分,本文为第一部分,主要介绍粮食和油料作物菌物病害,共195个,涉及病原菌物物种212个。对筛选出的病原菌物拉丁学名按照最新命名法规、世界菌物名称数据库以及最新菌物分类学研究成果进行核对,并按作物种类列出病害名称、病原菌物的中文名和现用拉丁学名,部分包含基原异名和常见异名。植物病原菌物学名统一规范地使用有利于植物病害的诊断,也为学术交流、信息传递和大众科普等工作的开展提供依据。 展开更多
关键词 植物菌物病害 命名法 现用名 基原异名 异名
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Proteomic study of three component interactions: plant, pathogens and antagonistic fungi
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作者 Marra R Ambrosino P +9 位作者 Scala V Romano C Vinale F Ferraioli S Ruocco M Carbone V Woo S L Turrà D Scala F Lorito M 《浙江大学学报(农业与生命科学版)》 CAS CSCD 北大核心 2004年第4期449-449,共1页
The molecular factors involved in the three-way interaction between plant, pathogenic fungi and antagonistic/biocontrol fungi, such as Trichoderma, are still poorly understood, even if they represent a matter of inter... The molecular factors involved in the three-way interaction between plant, pathogenic fungi and antagonistic/biocontrol fungi, such as Trichoderma, are still poorly understood, even if they represent a matter of interest for improving crop management and developing new strategies for plant diseases control. The aim of this work is to investigate the components involved in this interaction and, for this purpose, a proteomic approach was used. 2-D maps of the protein extracts from the single components in various interactions between plants (potato, bean, tobacco or tomato), pathogens (Botrytis cinerea, Rhizoctonia solani or Pythium ultimum) and biocontrol fungi (Trichoderma atroviride strain P1 or Trichoderma harzianum strain T22) were obtained. The proteome of each partner was collected separately and extracted by acetone precipitation in presence of trichloroacetic acid and a reducing agent (DTT). The extracted proteins were separated by isoelectrofocusing (IEF), using IPG (Immobilized pH gradient) strips, followed by SDS-PAGE. In order to improve resolution the separations were performed both on wide than narrow pH range and on different gel lengths. Differential spots were noted in the proteome of the three-way interaction when compared to each single component. These were further characterized by mass spectrometry and in silico analysis with the aim of identifying and cloning the relative genes. During the in vitro interaction of T. harzianum strain T22 with tomato and the culture filtrate or cell walls of pathogens, the spot number was higher than in the presence of pathogen biomass. In terms of Trichoderma differential proteins displayed on 2D gels, the most important changes were obtained in the presence of P. ultimum . During the in vivo interaction with tomato, the antagonist proteome changed much more in presence of soilborne fungi R. solani and P. ultimum than with the foliar fungus B. cinerea, both in terms of total and increased or novel spots. In silico analysis of some of those spots revealed homology with intracellular enzymes (GTPases, hydrolases) and with stress-related proteins (heat shock proteins HSP70, bacteriocin cloacin). Specific proteins in the plant proteome, i.e. pathogenesis-related proteins, have been identified during the in vivo interaction of bean with R. solani and T. atroviride strain P1. This is in agreement with the demonstrated ability of these beneficial fungi to induce plant systemic disease resistance by activating expression of defence-related genes. Proteins extracted from T. atrovride strain P1 which were analysed by mass spectrometry, revealed some interesting homologies with a fungal hydrophobin of Pleurotus ostreatus and an ABC transporter of Ralstonia metallidurans. These could represent molecular factors involved in the antagonistic mechanisms of Trichoderma and play a role in the three-way interaction with the plant and other microbes. 展开更多
关键词 differential proteins in vivo interactions induced disease resistance
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