灰葡萄孢全基因组效应因子的预测与分析

Whole genome prediction and analysis of effectors of Botrytis cinerea

为了对灰葡萄孢全基因组效应因子进行预测筛选,本研究利用SignaIP 5.0、TMHMM、ProtComp 9.0等软件和预测程序对已经公布的灰葡萄孢全基因组筛选出具有分泌功能的蛋白;再对筛选出的分泌蛋白的半胱氨酸含量、信号肽长度及冗余性进行分析,最后使用EffectorP 3.0进行最终预测和表达差异分析,结果表明,从灰葡萄孢中筛选出109个候选效应因子和101个分泌蛋白。为了进一步探究筛选的候选效应因子的功能,本研究利用SMART预测109个候选效应蛋白的功能结构域以及侵染转录组数据分析,结果发现,候选效应因子均有信号肽,并选出持续高表达的候选效应基因Bcin04g03920和Bcin02g04350,验证发现其具有分泌功能。本研究从灰葡萄孢全基因组筛选获得了效应蛋白和分泌蛋白,为揭示灰葡萄孢的侵染机制奠定了重要基础。

In order to predict and screen the effectors of Botrytis cinerea in the whole genome,SignaIP 5.0,TMHMM,ProtComp 9.0 and other software and prediction programs were used to screen the published proteins with secretory function of the whole genome of Botrytis cinerea followed by analysis of the screened secreted proteins on the cysteine content,signal peptide length and redundancy,and final prediction with EffectorP 3.0 and expression differential analysis.There were 109 candidate effectors and 101 secreted proteins were screened out from B.cinerea.In order to explore the function of the selected candidate effectors,this study used SMART to predict the functional domains of the 109 candidate effector proteins and analyzed the transfected transcriptome data.The results showed that the candidate effectors all had signal peptides,and the candidate effector genes Bcin04g03920 and Bcin02g04350 with continuous high expression were selected to verify their secretory function.In this study,the effector proteins and secreted proteins were obtained from the whole genome screening of B.cinerea,which laid an important foundation for revealing the infection mechanism of B.cinerea.