基于互作转录组的希金斯炭疽菌效应蛋白筛选与鉴定

    Screening and identification of Colletotrichum higginsianum effectors based on interaction transcriptomic data

    • 摘要:
      目的 深入挖掘鉴定希金斯炭疽菌Colletotrichum higginsianum中的效应蛋白资源。
      方法 基于希金斯炭疽菌侵染拟南芥Arabidopsis thaliana的互作转录组数据,首先,利用信号肽预测、跨膜结构域分析、亚细胞定位筛选等方法,筛选出候选效应蛋白。通过分析候选效应蛋白在侵染过程中的表达模式,进一步聚焦在特定侵染阶段显著上调的蛋白;利用烟草瞬时表达体系进行功能验证,鉴定效应蛋白。并对效应蛋白进行定位、保守结构域及系统发育等生物信息学分析。
      结果 从14 651个基因中筛选出432个高置信度候选效应蛋白;进一步聚焦于21个在特定侵染阶段显著上调的蛋白;成功鉴定出3个效应蛋白:Ch3542、Ch13411和Ch13653。其中,Ch13411和Ch13653可单独诱导烟草细胞死亡;Ch3542则能够抑制INF1诱导的细胞死亡,具有免疫抑制功能。进一步分析表明,3个效应蛋白均具有典型的分泌信号肽,并在烟草细胞中呈现膜定位或胞质分布特征。保守结构域预测显示,Ch3542、Ch13411和Ch13653分别属于糖基水解酶16家族、DPBB结构域蛋白和M35金属肽酶家族。系统发育分析表明这3个效应蛋白在炭疽菌属内较为保守。
      结论 本研究建立了一套整合表达谱与序列特征的效应蛋白筛选流程,成功鉴定了希金斯炭疽菌的关键效应蛋白,为深入解析其致病机制及植物免疫互作提供了重要靶点与理论基础。

       

      Abstract:
      Objective To explore and identify effector proteins in Colletotrichum higginsianum.
      Method Based on the transcriptomic data from the interaction between Colletotrichum higginsianum and Arabidopsis thaliana, candidate effector proteins were first screened using approaches including signal peptide prediction, transmembrane domain analysis, and subcellular localization prediction. By analyzing the expression patterns of candidate effector proteins during infection, we further focused on those significantly up-regulated at specific infection stages. Functional validation was performed using a transient expression system in Nicotiana benthamiana to identify the effector proteins. Bioinformatic analyses, including subcellular localization, conserved domain, and phylogenetic analyses, were subsequently conducted on the identified effector proteins.
      Result A total of 432 high-confidence candidate effector proteins were screened from 14 651 genes. We further focused on 21 proteins that were significantly up-regulated at specific infection stages and successfully identified three effector proteins: Ch3542, Ch13411 and Ch13653. Among them, Ch13411 and Ch13653 could individually induce cell death in N. benthamiana, whereas Ch3542 was able to suppress INF1-induced cell death, exhibiting an immune-suppressive function. Further analyses demonstrated that all three effector proteins possessed typical secretory signal peptides and showed membrane localization or cytosolic distribution in N. benthamiana cells. Conserved domain prediction revealed that Ch3542, Ch13411, and Ch13653 belonged to the glycosyl hydrolase family 16, DPBB domain-containing proteins, and M35 metallopeptidase family, respectively. Phylogenetic analysis indicated that these three effector proteins were relatively conserved within the genus Colletotrichum.
      Conclusion This study established an integrated screening pipeline combining expression profiles and sequence characteristics, successfully identified key effector proteins of C. higginsianum, and provided important targets and a theoretical foundation for further elucidating its pathogenic mechanisms and plant immune interactions.

       

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