Prediction and characteristic analysis of secreted protein in different fungi
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    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.

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Yue Qin, Changzhi Han. Prediction and characteristic analysis of secreted protein in different fungi. [J]. Acta Microbiologica Sinica, 2021, 61(12): 4106-4117

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History
  • Received:March 26,2021
  • Revised:May 20,2021
  • Adopted:
  • Online: December 17,2021
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