茶树叶片响应茶饼病侵染的转录组分析

doi:10.13305/j.cnki.jts.2020.01.001

摘要/Abstract

摘要： 采用高通量测序技术对被茶饼病病菌侵染的茶树叶片进行转录组测序,筛选得到差异基因359个,其中248个上调表达,111个下调表达。差异基因中有216个获得GO（Gene ontology）数据库功能注释,主要涉及到生物合成过程、催化活性、细胞过程等诸多生理生化过程;KEGG（Kyoto encyclopedia of genes and genomes）数据库富集分析发现,共有106个基因被注释到47个代谢通路中,其中,单萜生物合成、卟啉和叶绿素代谢、核糖体、氮代谢、双萜生物合成、植物病原互作等通路显著富集。有32个差异基因被鉴定为转录因子,分布在16个转录因子家族中。利用实时荧光定量PCR（Real time quantitative PCR,qRT-PCR）验证了随机挑选的差异基因在感病叶片和未感病叶片中的相对表达量,与转录组测序结果的变化趋势一致。结果表明,茶树响应病原菌侵染是一个复杂的过程,大量基因被诱导或抑制表达,与抗病相关的转录因子被大量激活且上调表达。本研究为深入挖掘茶树抗病基因及进一步研究抗病分子机制提供了理论依据。

关键词: 茶树, 茶饼病, 转录组, 差异基因

Abstract: Illumina HiSeq2500, a high-through transcriptome sequencing technology, was applied for transcriptome analysis of tea leaves infected by tea blister blight. Through differential expression analysis, a total of 359 differentially expressed genes (DEGs）were identified after infection, of which 248 were up-regulated and 111 were down-regulated. With GO function annotation classifications, a total of 216 genes were divided into 122 function categories. The mainly involved functional categories included biological synthesis process, catalytic activity, cell process and many other physiological and biochemical processes. KEGG enrichment analysis showed that a total of 106 genes were annotated to 47 metabolic pathways, with monoterpenoid biosynthesis, porphyrin and chlorophyll metabolism, ribosome, nitrogen metabolism, diterpenoid biosynthesis, plant-pathogen interaction pathway significantly enriched. There were 32 differentially expressed transcription factors (TFs). Those TFs were classified into 16 families. qRT-PCR of randomly selected differentially expressed genes was used to validate transcriptome result, which showed high consistence. The result shows that tea tree response to pathogen infection is a complicated process. A number of genes were induced or suppressed. Disease-resistant transcription factors were highly activated and up-regulated. This study provided a theoretical basis for identifying tea resistance genes and potential molecular mechanism.

Key words: Camellia sinensis, tea blister blight, transcriptomics, different expression genes

中图分类号:

孙云南, 许燕, 冉隆珣, 蒋会兵, 宋维希, 夏丽飞, 陈林波, 梁名志. 茶树叶片响应茶饼病侵染的转录组分析[J]. 茶叶科学, 2020, 40(1): 113-124. doi: 10.13305/j.cnki.jts.2020.01.001.

SUN Yunnan, XU Yan, RAN Longxun, JIANG Huibing, SONG Weixi, XIA Lifei, CHEN Linbo, LIANG Mingzhi. Transcriptome Analysis of the Tea Leaves (Camellia sinensis var. assamica) Infected by Tea Blister Blight[J]. Journal of Tea Science, 2020, 40(1): 113-124. doi: 10.13305/j.cnki.jts.2020.01.001.

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