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Genome-Wide Identification and Characterization of Effector Candidates with Conserved Motif in Falciphora oryzae

文献类型： 外文期刊

作者： Dai, Mengdi 1 ; Su, Zhenzhu 3 ; Zhu, Xueming 1 ; Li, Lin 1 ; Ye, Ziran 2 ; Tan, Xiangfeng 2 ; Kong, Dedong 2 ; Liu, Xiaohong 3 ; Lin, Fucheng 1 ;

作者机构： 1.Zhejiang Acad Agr Sci, Inst Plant Protect & Microbiol, State Key Lab Managing Biot & Chem Treats Qual & S, Hangzhou 310021, Peoples R China

2.Zhejiang Acad Agr Sci, Inst Digital Agr, State Key Lab Managing Biot & Chem Treats Qual & S, Hangzhou 310021, Peoples R China

3.Zhejiang Univ, Inst Biotechnol, State Key Lab Managing Biot & Chem Treats Qual & S, Hangzhou 310058, Peoples R China

4.Xianghu Lab, Hangzhou 311231, Peoples R China

关键词： genome-wide; effector; conserved motif; endophyte

期刊名称：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES （ 影响因子：4.9； 五年影响因子：5.6 ）

ISSN： 1661-6596

年卷期： 2024 年 25 卷 1 期

页码：

收录情况： SCI

摘要： Microbes employ effectors to disrupt immune responses and promote host colonization. Conserved motifs including RXLR, LFLAK-HVLVxxP (CRN), Y/F/WxC, CFEM, LysM, Chitin-bind, DPBB_1 (PNPi), and Cutinase have been discovered to play crucial roles in the functioning of effectors in filamentous fungi. Nevertheless, little is known about effectors with conserved motifs in endophytes. This research aims to discover the effector genes with conserved motifs in the genome of rice endophyte Falciphora oryzae. SignalP identified a total of 622 secreted proteins, out of which 227 were predicted as effector candidates by EffectorP. By utilizing HMM features, we discovered a total of 169 effector candidates with conserved motifs and three novel motifs. Effector candidates containing LysM, CFEM, DPBB_1, Cutinase, and Chitin_bind domains were conserved across species. In the transient expression assay, it was observed that one CFEM and one LysM activated cell death in tobacco leaves. Moreover, two CFEM and one Chitin_bind inhibited cell death induced by Bax protein. At various points during the infection, the genes' expression levels were increased. These results will help to identify functional effector proteins involving omics methods using new bioinformatics tools, thus providing a basis for the study of symbiosis mechanisms.

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