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Integrated Transcriptome and Metabolome Analysis to Identify Sugarcane Gene Defense against Fall Armyworm (Spodoptera frugiperda) Herbivory

文献类型： 外文期刊

作者： Li, Ao-Mei 1 ; Wang, Miao 1 ; Chen, Zhong-Liang 1 ; Qin, Cui-Xian 1 ; Liao, Fen 1 ; Wu, Zhen 2 ; He, Wei-Zhong 1 ; Lakshmanan, Prakash 1 ; Pan, You-Qiang 1 ; Huang, Dong-Liang 1 ;

作者机构： 1.Guangxi Acad Agr Sci, Sugarcane Res Inst, Key Lab Sugarcane Biotechnol & Genet Improvement, Guangxi Key Lab Sugarcane Genet Improvement,Minis, Nanning 530007, Peoples R China

2.Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Shenzhen Branch,Minist Agr & Rural Affairs, Guangdong Lab Lingnan Modern Agr,Genome Anal Lab, Shenzhen 518000, Peoples R China

关键词： sugarcane; Spodoptera frugiperda; RNA sequencing; metabolism; plant defense

期刊名称：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES （ 影响因子：6.208； 五年影响因子：6.628 ）

ISSN：

年卷期： 2022 年 23 卷 22 期

页码：

收录情况： SCI

摘要： Sugarcane is the most important sugar crop, contributing >= 80% to total sugar production around the world. Spodoptera frugiperda is one of the main pests of sugarcane, potentially causing severe yield and sugar loss. The identification of key defense factors against S. frugiperda herbivory can provide targets for improving sugarcane resistance to insect pests by molecular breeding. In this work, we used one of the main sugarcane pests, S. frugiperda, as the tested insect to attack sugarcane. Integrated transcriptome and metabolomic analyses were performed to explore the changes in gene expression and metabolic processes that occurred in sugarcane leaf after continuous herbivory by S. frugiperda larvae for 72 h. The transcriptome analysis demonstrated that sugarcane pest herbivory enhanced several herbivory-induced responses, including carbohydrate metabolism, secondary metabolites and amino acid metabolism, plant hormone signaling transduction, pathogen responses, and transcription factors. Further metabolome analysis verified the inducement of specific metabolites of amino acids and secondary metabolites by insect herbivory. Finally, association analysis of the transcriptome and metabolome by the Pearson correlation coefficient method brought into focus the target defense genes against insect herbivory in sugarcane. These genes include amidase and lipoxygenase in amino acid metabolism, peroxidase in phenylpropanoid biosynthesis, and pathogenesis-related protein 1 in plant hormone signal transduction. A putative regulatory model was proposed to illustrate the sugarcane defense mechanism against insect attack. This work will accelerate the dissection of the mechanism underlying insect herbivory in sugarcane and provide targets for improving sugarcane variety resistance to insect herbivory by molecular breeding.

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