不同营养方式真菌中分泌蛋白数量及其功能对比研究

Prediction and characteristic analysis of secreted protein in different fungi

摘要:

[目的] 分泌蛋白在植物病原真菌致病过程中发挥着重要的作用，前人多以单种菌株分泌蛋白预测分析，尚未见多种类型真菌中分泌蛋白的预测及对比研究报道。[方法] 本研究基于多种不同营养方式真菌的全基因组序列，根据分泌蛋白所具有的基本特征，采用在线分析程序（主要包括SignalP v5.0、ProtComp v9.0等）对模式生物、死体营养型真菌、半活体营养型真菌及活体营养型真菌共19种菌株的分泌蛋白开展预测及功能分析。[结果] 在上述真菌约13万条蛋白序列中，分泌蛋白所占比例为0.74%-4.83%，其中，活体营养型真菌所具有的分泌蛋白数量占比最高，平均为3.51%，而死体营养型真菌和模式生物平均比例最低，平均为1.36%。同时，活体营养型真菌具有的功能种类最多，为433种，其次为半活体营养型真菌，为266种，而模式生物具有的功能种类最少，为100种，其中，功能为假设蛋白和非特征蛋白的蛋白数量最多。[结论] 该研究为深入解析分泌蛋白在实现不同营养方式真菌的致病机制方面提供理论依据。

Abstract:

[Objective] Secreted proteins play an important role in the pathogenic process of phytopathogenic fungi. Predecessors mostly used a single strain to predict and analyze secreted proteins. There are no reports on the prediction and comparative studies of secreted proteins in multiple types of fungi. [Methods] This study is based on the whole genome sequence of fungi with a variety of different nutrition methods. According to the characteristics of the secreted protein, online analysis programs such as SignalP v5.0 and ProtComp v9.0 were used to analyze the secreted proteins of 19 fungi, which including model organisms, hemibiotrophic, necrotrophic and biotrophic. [Results] The results showed that among the about 130000 protein sequences of the above-mentioned fungi, the proportion of secreted proteins was 0.74% to 4.83%. Among them, the secreted proteins of biotrophic accounted for the highest proportion, with an average of 3.51%. The average ratio of hemibiotrophic and model organisms was the lowest, with an average of 1.78% and1.36%. At the same time, biotrophic have the most types of functions, 433 species, followed by necrotrophic, with 266 species, and model organisms have the least functional types, at 100, among which functions are hypothetical protein and non-characteristic. [Conclusion] This research has laid a solid theoretical foundation for the in-depth analysis of secreted proteins in realizing the pathogenic mechanism of fungi with different nutritional methods.