Scientia Agricultura Sinica ›› 2022, Vol. 55 ›› Issue (6): 1149-1158.doi: 10.3864/j.issn.0578-1752.2022.06.008

• PLANT PROTECTION • Previous Articles     Next Articles

Widely Targeted Metabolomics Analysis of the Effects of Myzus persicae Feeding on Prunus persica Secondary Metabolites

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
  • Received:2021-08-13 Accepted:2021-09-17 Online:2022-03-16 Published:2022-03-25
  • Contact: Lei PAN,ZhiQiang WANG E-mail:275101462@qq.com;panlei@caas.cn;wangzhiqiang@caas.cn

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Abstract:

【Objective】The objective of this study is to clarify the underlying biochemical mechanisms related to the resistance and susceptibility of peach towards Myzus persicae, and to identify the key secondary metabolites of peach responding to the M. persicae infection.【Method】New shoots of resistant (‘96-5-1’ (9651), ZaoYouTao (ZYT)) and susceptible (Zhong You 13 (CN13), Zhong Nong Jin Hui (ZNJH)) 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, P-value≤0.01 as threshold. The VIP value of the OPLS-DA model was used to perform differences between resistant and susceptible peach.【Result】To illustrate the biochemical mechanisms of M. persicae resistance in peach, aphid-resistant/aphid-susceptible peach varieties infested with M. persicae for 3 days. A total of 528 metabolites were identified in the treated samples through widely targeted metabolomics analysis. Using principal component analysis (PCA), hierarchical cluster analysis (HCA) and Venn diagram analysis, it was found that 7 DAMs were identified from the susceptible variety CN13, and 2 of them were significantly decreased, 5 of them were significantly increased. 7 DAMs were identified from the susceptible variety ZNJH, and 3 of them were significantly decreased, 4 of them were significantly increased. 33 DAMs were identified from the resistant variety ‘96-5-1’, and 1 of them was significantly decreased, 32 of them were significantly increased. 55 DAMs were identified from the resistant variety ZYT, and 12 of them were significantly decreased, 43 of them were significantly increased. 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 that in the susceptible varieties. Finally, 15 secondary metabolites (6 amino acids and their derivatives, 5 phenolic acids, 3 nucleotides and their derivatives, and 1 organic acid) were considered to be involved in M. persicae resistance of ‘Shou xing tao’.【Conclusion】The significantly up-regulated secondary metabolites obtained in M. persicae-resistant peach varieties were mainly involved in the response to M. persicae feeding. The regulation of these secondary metabolites (amino acids and their derivatives, phenolic acids, nucleotides and their derivatives, organic acid) 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

Table 1

Classification of the 528 metabolites detected in peach shoots before and after M. persicae feeding"

序号
Code		 代谢物种类
Species of metabolites		 数目
Number
1 黄酮类Flavonoid 129
2 酚酸类Phenolic acids 88
3 脂质Lipid 65
4 氨基酸及其衍生物Amino acids and their derivatives 57
5 有机酸Organic acid 49
6 核苷酸及其衍生物Nucleotides and their derivatives 38
7 生物碱Alkaloid 20
8 木脂素和香豆素Lignin and coumarin 14
9 萜类Terpene 12
10 鞣质Tannin 3
11 其他类Others 53

Fig. 1

Principal component analysis (PCA) of metabolite profiles before and after M. persicae treatment of different varieties Each point in the figure represents one sample and the sample in the same treatment using the same color. There were four biological repeats for each M. persicae treatment. For samples with poor repeatability, one sample point can be removed"

Fig. 2

Hierarchical cluster analysis of metabolite profiles before and after M. persicae treatment of different varieties Heat map of secondary metabolites detected in the total sample. Red indicates high abundance and green indicates low abundance"

Fig. 3

The numbers of differential altered metabolites before and after M. persicae treatment of different varieties"

Fig. 4

Volcano plot of significantly changed metabolites before and after M. persicae treatment of susceptible varieties ZNJH and CN13 One point in the figure represents one metabolite, the red and green dots correspond to up-regulated and down-regulated metabolites, respectively. The gray part is the metabolite that can be detected but the content change is not significant. The same as Fig. 5"

Fig. 5

Volcano plot of significantly changed metabolites before and after M. persicae treatment of resistant varieties ‘96-5-1’ and ZYT"

Fig. 6

Differentially altered metabolites of four varieties exposed to M. persicae feeding for 3 days"

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