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Journal of Tea Science ›› 2020, Vol. 40 ›› Issue (1): 113-124.doi: 10.13305/j.cnki.jts.2020.01.001

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Transcriptome Analysis of the Tea Leaves (Camellia sinensis var. assamica) Infected by Tea Blister Blight

SUN Yunnan, XU Yan*, RAN Longxun, JIANG Huibing, SONG Weixi, XIA Lifei, CHEN Linbo, LIANG Mingzhi*   

  1. Tea Research Institute, Yunnan Academy of Agricultural Sciences/Yunnan Engineering Research Center of Tea Germplasm Innovation and Matching Cultivation/Yunnan Provincial Key Laboratory of Tea Science, Menghai 666201, China
  • Received:2019-04-02 Revised:2019-06-18 Online:2020-02-15 Published:2020-02-04

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

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