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深入分析稻瘟病菌分生孢子蛋白质组。

In-depth analysis of the Magnaporthe oryzae conidial proteome.

机构信息

W.M. Keck FT-ICR Mass Spectrometry Laboratory, Department of Chemistry, and Center for Integrated Fungal Research, North Carolina State University, Raleigh, North Carolina 27695, United States.

出版信息

J Proteome Res. 2012 Dec 7;11(12):5827-35. doi: 10.1021/pr300604s. Epub 2012 Oct 29.

Abstract

The filamentous fungus Magnaporthe oryzae (M. oryzae) is the causative agent of rice blast disease and presents a significant threat to worldwide rice production. To establish the groundwork for future research on the pathogenic development of M. oryzae, a global proteomic study of conidia was performed. The filter aided sample preparation method (FASP) and anion StageTip fractionation combined with long, optimized shallow 210 min nanoLC gradients prior to mass spectrometry analysis on an Orbitrap XL was applied, which resulted in a doubling of protein identifications in comparison to our previous GeLC analysis. Herein, we report the identification of 2912 conidial proteins at a 1% protein false discovery rate (FDR) and we present the most extensive study performed on M. oryzae conidia to date. A similar distribution between identified proteins and the predicted proteome was observed when subcellular localization analysis was performed, suggesting the detected proteins build a representative portion of the predicted proteome. A higher percentage of cytoplasmic proteins (associated with translation, energy, and metabolism) were observed in the conidial proteome relative to the whole predicted proteome. Conversely, nuclear and extracellular proteins were less well represented in the conidial proteome. Further analysis by gene ontology revealed biological insights into identified proteins important for central metabolic processes and the physiology of conidia.

摘要

稻瘟病菌(Magnaporthe oryzae)是一种丝状真菌,是稻瘟病的病原体,对全球水稻生产构成重大威胁。为了为稻瘟病菌的致病机制研究奠定基础,我们对其分生孢子进行了全面的蛋白质组学研究。我们采用滤膜辅助样品制备(FASP)方法和阴离子 StageTip 分级分离技术,结合长达 210 分钟的优化浅层纳升液相色谱梯度,在 Orbitrap XL 上进行质谱分析,与我们之前的 GeLC 分析相比,这使蛋白鉴定数量增加了一倍。在此,我们报告了在 1%蛋白错误发现率(FDR)下鉴定到 2912 个分生孢子蛋白,并展示了迄今为止针对稻瘟病菌分生孢子进行的最广泛研究。当进行亚细胞定位分析时,观察到鉴定到的蛋白与预测的蛋白质组之间存在相似的分布,这表明所检测的蛋白构成了预测蛋白质组的代表性部分。与整个预测蛋白质组相比,在分生孢子蛋白质组中观察到更多的细胞质蛋白(与翻译、能量和代谢相关)。相反,核蛋白和细胞外蛋白在分生孢子蛋白质组中的代表性较低。进一步的基因本体论分析揭示了与中央代谢过程和分生孢子生理学相关的鉴定蛋白的生物学见解。

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