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Transcriptome analysis reveals multiple signal network contributing to the Verticillium wilt resistance in eggplant

Author:
Yang, Xu, Zhang, Yu, Cheng, Yufu, Chen, Xuehao
Source:
Scientia horticulturae 2019 v.256 pp. 108576
ISSN:
0304-4238
Subject:
Verticillium wilt, amino acids, disease resistance, eggplants, gene expression regulation, genes, metabolism, prediction, signal transduction, transcriptome, transcriptomics
Abstract:
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.
Agid:
6466584