运用计算机软件预测木质部寄生属信号肽

发布时间：2019-08-11 15:17

【摘要】：利用已经公布的木质部寄生属(Xylella fastidiosa)2 766个基因组数据信息,运用在线计算机预测软件,分析了木质部寄生属(Xylella fastidiosa)的分泌蛋白组。运用Signal P version 2.0预测得到204个开放阅读框架具有编码蛋白质的N-端信号肽;运用TMHMM、GPI-anchored预测具有非跨膜蛋白(或者在N-端信号肽只有1个跨膜区),不具有锚定位点的173个,运用Target P预测除去分泌到线粒体以及位置不确定的分泌蛋白,最终得到X.fastidiosa的分泌蛋白为149个。分泌类信号肽(Sec-type)114个和具双精氨酸结构的信号肽(RR-motif)32个,分别占分泌蛋白的76.5%和21.5%,脂蛋白信号肽3个,仅占2%,没有预测到类前菌毛信号肽和细菌素及外激素信号肽。
[Abstract]:Based on the published genomic data of (Xylella fastidiosa) 2766, the secretory proteome of (Xylella fastidiosa) was analyzed by online computer prediction software. Signal P version 2.0 was used to predict the N-terminal signal peptides with coding proteins in the open reading frame, and TMHMM,GPI-anchored was used to predict the non-transmembrane proteins (or only one transmembrane region in the N-terminal signal peptides), and there were no anchoring sites. Target P was used to predict that the secretory proteins secreted to the mitochondria and uncertain position were removed, and the secretory proteins of the X.fastidiosa were obtained to be 149. the N-terminal signal peptides were predicted to have non-transmembrane proteins (or only one transmembrane region in the N-terminal signal peptides) and no anchoring sites. There were 114 secretory signal peptides (Sec-type) and 32 signal peptides with diarginine structure (RR-motif), accounting for 76.5% and 21.5% of secretory proteins, respectively. Lipoprotein signal peptides accounted for only 2%. No prefimal signal peptides, bacteriocin and exocrine signal peptides were predicted.
【作者单位】：云南农业大学教育部生物多样性与病虫害控制重点实验室;云南省医疗器械检验所;云南生物资源保护与利用国家重点实验室;
【基金】：国家自然科学基金项目(31270067)
【分类号】：S432.4

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