中国农业科学

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广泛靶向代谢组学解析桃蚜危害对桃树次生代谢成分变化的影响

闫乐乐,卜璐璐,牛良,曾文芳,鲁振华,崔国朝,苗玉乐,潘磊,王志强   

  1. 中国农业科学院郑州果树研究所,郑州 450009
  • 出版日期:2021-10-19 发布日期:2021-10-19

Widely targeted metabolomics analysis of the response to Myzus persicae feeding of resistant and susceptible Prunus persica #br#

YAN LeLe, BU LuLu, NIU Liang, ZENG WenFang, LU ZhenHua, CUI GuoChao, MIAO YuLe, PAN Lei, WANG ZhiQiang   

  1. Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009
  • Published:2021-10-19 Online:2021-10-19

摘要: 【目的】阐明桃蚜(Myzus persicae)危害条件下桃树抗蚜和感蚜品种的代谢响应机制,并确定桃树响应桃蚜危害过程中起关键作用的次生代谢产物。【方法】采用桃蚜对抗蚜和感蚜桃树幼嫩新稍进行蚜虫危害处理,取接种3 d的桃树新稍进行次生代谢物提取,并利用超高效液相色谱串联质谱(UPLC-MS/MS)对抗蚜品种(品系)‘96-5-1’(9651)和枣油桃ZYT),感蚜品种中油13号CN13)和中农金辉ZNJH)进行广泛靶向代谢组分析,以|log2 fold change|≥1,P-value≤0.01作为筛选差异代谢物(differentially altered metabolite,DAM)的阈值。采用OPLS-DA模型的VIP值表示抗蚜和感蚜品种之间的差异。通过比较桃蚜危害后的抗蚜品种和感蚜品种代谢物含量变化,探讨差异代谢物在桃树响应桃蚜危害过程可能产生的作用。【结果】对桃蚜危害3 d后的处理取样,处理后的样本进行广泛靶向代谢组学分析,全部样品中共鉴定出528种差异代谢物。通过主成分分析(PCA)、层次聚类分析(HCA)和维恩图分析,发现感蚜品种中油13号被桃蚜危害后的差异代谢物总数为7种,有2种含量下降,5种含量上升;中农金辉被桃蚜危害后的差异代谢物总数为7种,有3种含量下降,4种含量上升。抗蚜品种‘96-5-1’被桃蚜危害后的差异代谢物总数为33种,有1种含量下降,32种含量上升;枣油桃被桃蚜危害后的差异代谢物总数为55种,有12种含量下降,43种含量上升。大多数差异代谢物来自两个抗蚜品种,并且抗蚜品种中差异代谢物的变化幅度比感蚜品种更大。推测,经过分析获得的15种次生代谢产物(6种氨基酸及其衍生物、5种酚酸、3种核苷酸及其衍生物、1种有机酸)可能与寿星桃来源的桃蚜抗性相关。【结论】抗蚜品种在桃蚜危害后显著上调的次生代谢物可能参与桃树对桃蚜的抗性反应过程。这些次生代谢产物(氨基酸及其衍生物、酚酸类物质、核苷酸及其衍生物和有机酸)的调控是桃树抵抗桃蚜危害的重要机制。


关键词: 桃树, 桃蚜, 抗性, 代谢组学, 次生代谢物, 超高效液相色谱串联质谱分析

Abstract: 【ObjectiveThe objective of this study is to reveal the underlying biochemical mechanisms related to the resistance and susceptibility of peach towards herbivory by Myzus persicae, and to identify the key secondary metabolites of peach responding to the M. persicae infection.MethodYoung leaves of resistant and susceptible peach trees were inoculated with M. persicae for 3 days and used for secondary metabolite extraction and UPLC-MS/MS analysis. Differentially altered metabolites (DAMs) were screened with |log2 fold change|≥1, q-value≤0.01 as threshold. The VIP value of the OPLS-DA model was used to perform differences between resistant and susceptible peach. By comparing the concentration difference between the resistant and susceptible varieties of peach after M. persicae feeding, the role of DAMs was explored.ResultTo illustrate the biochemical mechanisms of M. persicae resistance in peach, aphid-resistant/aphid-susceptible peach varieties infested with GPAs for 3 days. Widely targeted metabolomics analysis of the infested tissues identified 528 metabolites. Using principal component analysis (PCA), hierarchical cluster analysis (HCA) and venn diagram analysis, it was found that 7 differentially altered metabolites (DAMs) were identified from the susceptible varieties Zhong You 13 (CN13), and 2 of them were significantly decreased, 5 of them were significantly decreased. 7 DAMs were identified from the susceptible varieties Zhong Nong Jin Hui (ZNJH), and 3 of them were significantly decreased, 4 of them were significantly decreased. 33 DAMs were identified from the resistant varieties‘96-5-1’ (9651), and one of them was significantly decreased, 32 of them were significantly decreased. 55 DAMs were identified from the resistant varieties ZaoYouTao (ZYT), and 12 of them were significantly decreased, 43 of them were significantly decreased. The majority of the DAMs were identified from the two resistant varieties, and the overall magnitude of change was greater in the resistant varieties than in the susceptible varieties. Finally, 15 secondary metabolites (6 amino acid and derivatives, 5 phenolic acids, 3 nucleotides and derivatives, and 1 organic acid) were considered to be involved in M. persicae resistance of ‘Shou xing tao’.ConclusionThe significantly up-regulated secondary metabolites obtained in M. persicae-resistant peach varieties were mainly involved in the response M. persicae feeding. The regulation of these secondary metabolites (amino acids and their derivatives, phenolic acids, nucleotides and their derivatives) is the important mechanism of defense reaction to M. persicae.


Key words: peach, green peach aphid (Myzus persicae), resistance, metabolomics, secondary metabolite, UPLC-MS/MS