[1]陈晶伟,马居奎,高方园,等.甘薯茎线虫基因组分泌蛋白中效应因子的预测和分析[J].江苏农业学报,2026,42(05):909-918.[doi:doi:10.3969/j.issn.1000-4440.2026.05.005]
　CHEN Jingwei,MA Jukui,GAO Fangyuan,et al.Prediction and analysis of effectors in secreted proteins of the Ditylenchus destructor genome[J].,2026,42(05):909-918.[doi:doi:10.3969/j.issn.1000-4440.2026.05.005]
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甘薯茎线虫基因组分泌蛋白中效应因子的预测和分析()

江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
42
期数:
2026年05期
页码:
909-918
栏目:
植物保护
出版日期:
2026-05-31

文章信息/Info

Title:
Prediction and analysis of effectors in secreted proteins of the Ditylenchus destructor genome
作者:
陈晶伟1; 2; 马居奎1; 2; 高方园1; 唐伟1; 2; 杨冬静1; 张成玲1; 梁昭1; 韩永华2; 孙厚俊1; 2
(1.江苏徐淮地区徐州农业科学研究所/农业农村部甘薯生物学与遗传育种重点实验室,江苏徐州221131；2.江苏师范大学生命科学学院,江苏徐州221131)
Author(s):
CHEN Jingwei1; 2; MA Jukui1; 2; GAO Fangyuan1; TANG Wei1; 2; YANG Dongjing1; ZHANG Chengling1; LIANG Zhao1; HAN Yonghua2; SUN Houjun1; 2
(1.Xuzhou Institute of Agricultural Sciences of the Xuhuai District of Jiangsu Province/Key Laboratory of Sweetpotato Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, Xuzhou 221131, China;2.School of Life Sciences, Jiangsu Normal University, Xuzhou 221131, China)
关键词:
甘薯茎线虫; 分泌蛋白; 效应因子; 基因功能分析
Keywords:
Ditylenchus destructor; secreted protein; effector; gene function analysis
分类号:
S435.31；S531
DOI:
doi:10.3969/j.issn.1000-4440.2026.05.005
文献标志码:
A
摘要:
甘薯茎线虫(Ditylenchus destructor)是甘薯生产中的一种重要的迁移性内寄生病原线虫,效应因子在其侵染过程中发挥着重要作用。本研究基于甘薯茎线虫全基因组信息,综合应用SignalP 5.0、Deep TMHMM和WoLF PSORT等生物信息学工具,对该线虫分泌的效应因子进行预测与分析。结果表明,从甘薯茎线虫全基因组21 283个蛋白质氨基酸序列中共筛选到1 788个胞外分泌蛋白,利用EggNOG-mapper进行分析,有371个分泌蛋白可以注释到具体功能。对分泌蛋白进行碳水化合物活性酶类(CAZymes)分析,结果发现40个蛋白质属于CAZymes,其中有13个糖苷水解酶,17个多糖裂解酶,合计占比达75.0%。最终,通过对上述蛋白质的半胱氨酸数量和多个串联重复序列等进行分析,共获得32个候选效应因子,其中19个为假定蛋白,其余为c型凝集素结构域蛋白、含锌指双结构域蛋白和果聚糖蔗糖酶等。利用实时荧光定量逆转录聚合酶链式反应(qRT-PCR)随机挑选10个潜在效应蛋白编码基因,检测其在甘薯茎线虫侵染过程中的表达模式,其中8个基因的相对表达量总体上调。本研究结果为揭示甘薯茎线虫的致病分子机制提供了重要线索,同时为后续寄主抗性基因的筛选以及针对性防治药剂的开发提供了理论依据。
Abstract:
Ditylenchus destructor is an important migratory endoparasitic nematode in sweet potato production, and effectors play a crucial role in its infection process. Based on the whole-genome information of Ditylenchus destructor, this study integrated bioinformatics tools such as SignalP 5.0, Deep TMHMM, and WoLF PSORT to predict and analyze effectors in the secreted proteins of this nematode. The results showed that from a total of 21 283 protein amino acid sequences in the Ditylenchus destructor genome, 1 788 secreted proteins were screened. Using EggNOG-mapper for functional annotation, 371 secreted proteins were assigned to specific functions. Carbohydrate-active enzyme (CAZymes) analysis of the secreted proteins identified 40 proteins belonging to CAZymes, including 13 glycoside hydrolases and 17 polysaccharide lyases, accounting for 75.0% of the CAZymes. Finally, through analysis of cysteine number and multiple tandem repeat sequences in the above proteins, a total of 32 candidate effectors were obtained, of which 19 were hypothetical proteins, and the remaining included c-type lectin domain proteins, zinc finger double domain proteins, and levansucrase. Using quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR), ten potential effector genes were randomly selected to examine their expression patterns during Ditylenchus destructor infection, and eight of them showed upregulated relative expression levels. The results of this study provide important clues for revealing the molecular mechanisms of Ditylenchus destructor pathogenicity and offer a theoretical basis for the subsequent screening of host resistance genes and the development of targeted control agents.

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备注/Memo

备注/Memo:
收稿日期:2025-04-23基金项目:国家重点研发计划专项资助项目(2024YFD1401200、2024YFD1401205-04)；国家现代农业产业技术体系项目(CARS-10)；徐州市重点研发计划(现代农业)项目(KC22087)作者简介:陈晶伟(1993-),男,陕西汉中人,硕士,助理研究员,研究方向为植物病原线虫学。(E-mail)ibcjw0825@126.com通讯作者:孙厚俊,(E-mail)sunhoujun1980@163.com
更新日期/Last Update: 2026-06-17