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引用本文:ZHANG Mou,GAO Xi,HAO Kaiqiang,TAN Qing,PANG Renyi,LAN Mingxian,LI Zhaobo,XIA Tao,LU Wufeng,LI Jianyi,WU Guoxing. Transcriptome analysis of Verticillium lecanii based on RNA-Seq technology[J]. 生物安全学报, 2017, 26(3): 236-243.
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Transcriptome analysis of Verticillium lecanii based on RNA-Seq technology
ZHANG Mou,GAO Xi,HAO Kaiqiang,TAN Qing,PANG Renyi,LAN Mingxian,LI Zhaobo,XIA Tao,LU Wufeng,LI Jianyi,WU Guoxing
作者单位E-mail
ZHANG Mou 云南农业大学植物保护学院, 云南 昆明 650201  
GAO Xi 云南农业大学植物保护学院, 云南 昆明 650201 chonchon@163.com 
HAO Kaiqiang 云南农业大学植物保护学院, 云南 昆明 650201  
TAN Qing 云南农业大学植物保护学院, 云南 昆明 650201  
PANG Renyi 云南农业大学植物保护学院, 云南 昆明 650201  
LAN Mingxian 云南农业大学植物保护学院, 云南 昆明 650201  
LI Zhaobo 云南农业大学植物保护学院, 云南 昆明 650201  
XIA Tao 云南农业大学植物保护学院, 云南 昆明 650201  
LU Wufeng 云南农业大学植物保护学院, 云南 昆明 650201  
LI Jianyi 云南农业大学植物保护学院, 云南 昆明 650201  
WU Guoxing 云南农业大学植物保护学院, 云南 昆明 650201 wugx1@163.com 
摘要:
[目的]蜡蚧轮枝菌是一种防治植物病原物和害虫的生防菌,弄清其致病的分子基础具有重要的意义。[方法]利用Illumina HiSeq技术测序蜡蚧轮枝菌的cDNA文库,并进行RNA-Seq序列拼接和功能注释。[结果]共获得1634670条高品质reads,碱基GC含量48.50%。14856条Unigene经组装拼接后,在Nr、Swiss-Prot、COG和KEGG数据库中分别比对得到1467、9379、6518和4188条Unigenes。采用GO分类工具将21403条Unigenes分成24个功能组,主要包含在细胞组成(1369)、分子功能(1679)和生物学过程(1928)3个大类里,在COG数据库注释的基础上,把6518条Unigenes分成38个功能组,通过GO和COG丰度识别分类,聚类的主要是一般功能预测、次生代谢产物的合成、运输和分解代谢以及信号转导机制起作用的独立基因。能与KEGG路径匹配的108条Unigenes中大部分和新陈代谢途径及次生代谢产物的合成有关。[结论]这些结果将有助于找寻蜡蚧轮枝菌的致病因子,从而丰富其致病机理。
关键词:  蜡蚧轮枝菌  RNA-Seq  转录组
DOI:10.3969/j.issn.2095-1787.2017.03.010
基金项目:国家自然科学基金项目(31160379)
附件
Transcriptome analysis of Verticillium lecanii based on RNA-Seq technology
ZHANG Mou,GAO Xi,HAO Kaiqiang,TAN Qing,PANG Renyi,LAN Mingxian,LI Zhaobo,XIA Tao,LU Wufeng,LI Jianyi,WU Guoxing
Abstract:
[Aim] Verticillium lecanii is a well-known biocontrol agent of fungal phytopathogens as well as insect pests. It is important to investigate the molecular basis of the pathogenicity.[Method] We analyzed the transcriptome of V. lecanii isolated from Boettcherisca peregrina.[Result] A total of 1634670 high-quality reads were produced by RNA-seq method with Q20 percentage of 89.47% and the GC percentage of 48.50%. The Nr, Swiss-Prot, Gene Ontology (GO), Clusters of Orthologous Group (COG), and Kyoto Encyclopedia of Genesand Genomes (KEGG) databases were used to annotate unigenes functions. Of the 14856 Unigenes assembled, 1467, 9379, 6518, and 4188 were mapped by Nr, Swiss-Prot, COG, and KEGG, respectively. In the GO database, 21403 Unigenes were classified into 38 functional groups, belonging to three main categories:cellular components (1369), molecular functions (1679), and biological processes (1928). Based on COG annotation, 6518 Unigenes were classified into 24 functional categories. The important functional groups identified via GO and COG enrichment were responsible for general function prediction only, secondary metabolites biosynthesis, transport and catabolism, and signal transduction mechanisms. Unigenes mapped to 108 KEGG pathways, most of which were associated with metabolic pathways and biosynthesis of secondary metabolites.[Conclusion] Our results will be helpful to find the pathogenic factors of V. lecanii and enrich its pathogenic mechanism.
Key words:  Verticillium lecanii  RNA-Seq  transcriptome