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陈 哲, 黄 静, 赵 佳, 梁 宏*.草莓应答炭疽菌侵染的转录组分析[J].植物保护,2020,46(3):138-146.
草莓应答炭疽菌侵染的转录组分析
Transcriptomics analysis of strawberry response to Colletotrichum theobromicola infection
投稿时间:2019-03-02  修订日期:2019-05-11
DOI:DOI: 10.16688/j.zwbh.2019096
中文关键词:  草莓  炭疽菌  转录组分析  差异表达基因
英文关键词:strawberry  Colletotrichum theobromicola  transcriptomics analysis  differentially expressed genes
基金项目:山西省农业科学院特色农业技术攻关项目(YGG17067);山西省应用基础研究项目(201601D202062)
作者单位E-mail
陈 哲, 黄 静, 赵 佳, 梁 宏* 山西省农业科学院生物技术研究中心太原 030031 E-mail:lh1964@126.com 
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中文摘要:
      本研究以栽培草莓为材料,用炭疽菌对植株进行侵染,对健康草莓和患病草莓进行转录组分析(RNA-seq),共得到86 988个序列以及2 127个差异表达基因。利用GO数据库对差异表达基因进行了聚类分析,结果发现差异表达基因主要聚类在光合作用、氧化还原过程、氧化还原酶活性、碳固定过程以及糖代谢过程等方面。同时,利用KEGG数据库对差异表达基因影响的通路进行注释后发现,炭疽菌侵染主要影响了光合作用、倍半萜和三萜生物途径、类黄酮生物合成、谷胱甘肽代谢和植物激素信号转导等途径中关键基因的表达水平。挑选了20个差异表达基因进行qRT-PCR,结果有19个基因的表达趋势与转录测序结果一致。本研究获得的草莓应答炭疽菌侵染转录组数据信息,将有助于丰富草莓抗炭疽病的调控机制。
英文摘要:
      In this study, we analyzed the response of strawberry plants(Fragaria×ananassa) to infection with Colletotrichum theobromicola using the next-generation sequencing (RNA-seq) and investigated the alterations in gene expression between the healthy and infected plants. We have identified 86 988 unigenes, of which 2 127 were differentially expressed in the fungi-infected plants (DEGs). The unigenes were annotated and classified with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The DEGs annotated to the GO database were distributed in many functional types, including photosynthesis, oxidation-reduction process, oxidoreductase activity and growth, development and metabolism. The KEGG pathway analysis of these genes suggested that strawberry disease caused by C.theobromicola may affect multiple processes including photosynthesis, sesquiterpenoid and triterpenoid biosynthesis, flavonoid biosynthesis, glutathione metabolism and plant hormone signal transduction. In order to validate our DGE data, 20 DEGs with annotations were selected for qRT-PCR analysis. Among them,19 out of 20 DGEs exhibited a consistent expression pattern between RNA-Seq and qRT-PCR.The comprehensive transcriptome information obtained in this study will help to understand the regulatory mechanisms involved in strawberry response to C.theobromicola infection.
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