Transcriptome Analysis Reveals the Defense Mechanism of Cotton against Verticillium dahliae Induced by Hypovirulent Fungus Gibellulopsis nigrescens CEF08111

转录组分析揭示棉花对弱毒真菌 Gibellulopsis nigrescens CEF08111 诱导的黄萎病菌的防御机制

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作者:Zili Feng, Feng Wei, Hongjie Feng, Yalin Zhang, Lihong Zhao, Jinglong Zhou, Jiatao Xie, Daohong Jiang, Heqin Zhu

Abstract

Verticillium wilt is a kind of plant vascular disease caused by the soilborne fungus Verticillium dahliae, which severely limits cotton production. Our previous studies showed that the endophytic fungus Gibellulopsis nigrescens CEF08111 can effectively control Verticillium wilt and induce a defense response in cotton plants. However, the comprehensive molecular mechanism governing this response is not yet clear. To study the signaling mechanism induced by strain CEF08111, the transcriptome of cotton seedlings pretreated with CEF08111 was sequenced. The results revealed 249, 3559 and 33 differentially expressed genes (DEGs) at 3, 12 and 48 h post inoculation with CEF08111, respectively. At 12 h post inoculation with CEF08111, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that the DEGs were enriched mainly in the plant−pathogen interaction, mitogen-activated protein kinase (MAPK) signaling pathway-plant, and plant hormone signal transduction pathways. Gene ontology (GO) analysis revealed that these DEGs were enriched mainly in the following terms: response to external stimulus, systemic acquired resistance, kinase activity, phosphotransferase activity, xyloglucan: xyloglucosyl transferase activity, xyloglucan metabolic process, cell wall polysaccharide metabolic process and hemicellulose metabolic process. Moreover, many genes, such as calcium-dependent protein kinase (CDPK), flagellin-sensing 2 (FLS2), resistance to Pseudomonas syringae pv. maculicola 1(RPM1) and myelocytomatosis protein 2 (MYC2), that regulate crucial points in defense-related pathways were identified and may contribute to V. dahliae resistance in cotton. Seven DEGs of the pathway phenylpropanoid biosynthesis were identified by weighted gene co-expression network analysis (WGCNA), and these genes are related to lignin synthesis. The above genes were compared and analyzed, a total of 710 candidate genes that may be related to the resistance of cotton to Verticillium wilt were identified. These results provide a basis for understanding the molecular mechanism by which the biocontrol fungus CEF08111 increases the resistance of cotton to Verticillium wilt.

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