Analysis of Magnaporthe grisea pathogenicity by insertion mutagenesis and hierarchical metabolomics

通过插入突变和层次代谢组学分析稻瘟病菌致病性

• 批准号: BB/D006953/1
• 负责人: John Draper
• 金额: $ 25.95万
• 依托单位: Aberystwyth University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FD006953%2F1
• 关键词: Analysis; Magnaporthe; grisea; pathogenicity; insertion

The project will utilize high throughput analytical biochemistry techniques to provide new information concerning the infection of cereals by an economically significant plant pathogenic fungus. Fungi cause the world's most serious and devastating crop diseases and this project will provide new information about the process of plant infection by these microbial agents of disease. We will investigate a fungus called Magnaporthe grisea which causes rice blast disease, a disease that destroys enough rice each year to feed 60 million people. We have produced mutants of the fungus that are impaired in plant infection, and these will be subject to metabolome analysis. Metabolomics techniques will allow us to resolve many of the low molecular weight compounds in the cells of the fungus (organic acids, amino acids, sugars, and polyols) and produce metabolite fingerprints for each mutant strain investigated. We will investigate a set of mutants affected in glycogen, lipid and trehalose metabolism that are required for development of turgor pressure in the specialised infection structures produced by the fungus. To break into a rice leaf, the fungus generates enormous pressure that allows the cuticle of the cereal leaf to be broken. We will also investigate a novel set of mutants that are affected in their ability to colonize living plant tissue, resulting in small, or mis-timed disease lesions. The techniques we propose to use allow the simultaneous global analysis of all the small molecules (several hundreds of metabolites) contained within a cell. This comprehensive analysis will ensure that all major areas of metabolism are studied which will allow us to develop new ideas of the precise differences exist between the normal, wild type fungus and each mutant. These complex data require specialised methods for data analysis to determine metabolic differences between strains. In the future, we expect that novel fungicides and disease-control strategies may be developed that disrupt the virulence-associated metabolic processes identified in this study.

该项目将利用高通量分析生物化学技术，提供关于一种具有重要经济意义的植物病原真菌感染谷物的新信息。真菌引起世界上最严重和最具破坏性的作物疾病，该项目将提供有关这些微生物病原体感染植物过程的新信息。我们将研究一种叫做稻瘟病菌的真菌，它会引起稻瘟病，这种疾病每年摧毁的大米足以养活6000万人。我们已经产生了在植物感染中受损的真菌突变体，这些突变体将受到代谢组学分析。代谢组学技术将使我们能够解析真菌细胞中的许多低分子量化合物（有机酸，氨基酸，糖和多元醇），并为研究的每个突变株产生代谢物指纹。我们将研究一组受糖原，脂质和海藻糖代谢影响的突变体，这些突变体是真菌产生的专门感染结构中膨压发展所需的。为了打破稻叶，真菌产生巨大的压力，使谷物叶的角质层被打破。我们还将研究一组新的突变体，这些突变体在其定殖活植物组织的能力方面受到影响，导致小的或不适时的疾病病变。我们建议使用的技术允许同时对细胞内包含的所有小分子（数百种代谢物）进行全局分析。这种全面的分析将确保研究代谢的所有主要领域，这将使我们能够对正常，野生型真菌和每个突变体之间存在的精确差异提出新的想法。这些复杂的数据需要专门的数据分析方法来确定菌株之间的代谢差异。在未来，我们预计新的杀菌剂和疾病控制策略可能会被开发出来，破坏本研究中确定的毒性相关的代谢过程。

项目成果

Fourier Transform Ion Cyclotron Resonance mass spectrometry for plant metabolite profiling and metabolite identification.

• DOI: 10.1007/978-1-61779-594-7_11
• 发表时间: 2012-01-01
• 期刊: Methods in molecular biology (Clifton, N.J.)
• 作者: Allwood, J William;Parker, David;Goodacre, Royston
• 通讯作者: Goodacre, Royston

Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'.

• DOI: 10.1186/1471-2105-10-227
• 发表时间: 2009-07-21
• 期刊: BMC bioinformatics
• 影响因子: 3
• 作者: Draper J;Enot DP;Parker D;Beckmann M;Snowdon S;Lin W;Zubair H
• 通讯作者: Zubair H

Metabolomic analysis reveals a common pattern of metabolic re-programming during invasion of three host plant species by Magnaporthe grisea

• DOI: 10.1111/j.1365-313x.2009.03912.x
• 发表时间: 2009-09-01
• 期刊: PLANT JOURNAL
• 影响因子: 7.2
• 作者: Parker, David;Beckmann, Manfred;Draper, John
• 通讯作者: Draper, John