Transcriptome analysis reveals multiple signal network contributing to the Verticillium wilt resistance in eggplant
文献类型： 外文期刊
作者： Yang, Xu 1 ; Zhang, Yu 1 ; Cheng, Yufu 1 ; Chen, Xuehao 1 ;
作者机构： 1.Yangzhou Univ, Coll Hort & Plant Protect, Yangzhou 225009, Jiangsu, Peoples R China
2.Jiangsu Key Lab Hort Crop Genet Improvement, Nanjing, Jiangsu, Peoples R China
关键词： Verticillium wilt; Eggplant; Disease resistance; Transcriptome analysis; Signal transduction
期刊名称：SCIENTIA HORTICULTURAE （ 影响因子：3.463； 五年影响因子：3.672 ）
ISSN： 0304-4238
年卷期： 2019 年 256 卷
页码：
收录情况： SCI
摘要： Verticillium wilt is a devastating disease in eggplants. In order to understand the molecular mechanism of disease resistance in eggplants, transcriptomes of Verticillium wilt infected eggplants were detected. A total of 480, 518, 887 and 1 046 Verticillium wilt related differentially expressed genes were identified at 6 (V6), 12 (V12), 24 (V24) and 48 h (V48), respectively. COG function classification revealed that most of DEGs functioned in "Amino acid transport and metabolism", "Cytoskeleton" and "Cell motility". In addition, compared the control plants (V0) to infected eggplants (V6-V48), a total of 111 common DEGs were identified. Except for "General function prediction only", most of the DEGs enriched in "Signal transduction". DEGs associated to different hormone signals, including GID1B, ROPGAP1, OPT3 and CDPK, were identified throughout the whole infection process. Cross-talk among defense signal pathways plays major roles in the Verticillium wilt disease resistance in eggplants.
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