Whole Genome-Based Prediction and Analysis of Secreted Proteins of Peanut Fruit Rot Pathogens
[Objective]This study is to analyze the infection mechanism of Fusarium neocosmosporiel-lum,the pathogen of peanut pod rot and to select candidate genes.[Method]Based on the data of whole genome sequencing,the character of secreted proteins and effector proteins,prediction of the secreted protein and functional analysis for all the 12 756 protein sequences of the whole genome of F.neocosmos-poriellum were carried out using software of SignalP,TMHMM,WoLF PSORT,and NetGPI.[Result]The results showed that 701 sequences encoded proteins in the whole genome of F.neocosmosporiellum had typical secretory protein characteristics,accounting for 5.49％of the total proteins,and their lengths ranged from 101 to 700 amino acids.The analysis results of the signal peptide showed that the amino ac-ids at site-3 and site-1 of the signal peptide were relatively conserved,and the signal peptide cleavage site is of the typical A-X-A type.The function analysis showed that 656 secreted proteins were anno-tated,and they are mainly involved in carbohydrate transport,metabolism,protein post-translational modification,and amino acid metabolism and transport.The prediction of effector proteins showed that there are a total of 161 potential effector proteins in the secreted proteins of F.neocosmosporiellum.[Con-clusion]The effective prediction and functional analysis of the secreted proteins of F.neocosmosporiel-lum laid the foundation for screening new effector proteins,clarifying their pathogenic mechanisms,and screening host resistance genes.Additionally,it provides a theoretical basis for breeding of peanut pod rot resistant varieties and comprehensive control of this important disease.
peanut pod rotFusarium neocosmosporiellumbioinformatics analysissecreted proteins
NETL
NSTL
万方数据
维普
