J Integr Plant Biol ›› 2024, Vol. 66 ›› Issue (4): 810-823.DOI: 10.1111/jipb.13629

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  • 收稿日期:2023-10-07 接受日期:2024-02-04 出版日期:2024-04-01 发布日期:2024-04-13

A widely targeted metabolite modificomics strategy for modified metabolites identification in tomato

Jun Yang1,2†, Ridong Chen1,2†, Chao Wang1,2, Chun Li1,2, Weizhen Ye1,2, Zhonghui Zhang1,2 and Shouchuang Wang1,2*   

  1. 1. School of Breeding and Multiplication(Sanya Institute of Breeding and Multiplication), Hainan University, Sanya 572025, China;
    2. School of Tropical Agriculture and Forestry, Hainan University, Haikou 572208, China
    †These authors contributed equally to this work.
    *Correspondence:Shouchuang Wang(shouchuang.wang@hainanu.edu.cn)
  • Received:2023-10-07 Accepted:2024-02-04 Online:2024-04-01 Published:2024-04-13

Abstract: The structural and functional diversity of plant metabolites is largely created via chemical modification of a basic backbone. However, metabolite modifications in plants have still not been thoroughly investigated by metabolomics approaches. In this study, a widely targeted metabolite modificomics (WTMM) strategy was developed based on ultra-high performance liquid chromatography-quadrupole-linear ion trap (UHPLC-Q-Trap) and UHPLC-Q-Exactive-Orbitrap (UHPLC-QE-Orbitrap), which greatly improved the detection sensitivity and the efficiency of identification of modified metabolites. A metabolite modificomics study was carried out using tomato as a model, and over 34,000 signals with MS2 information were obtained from approximately 232 neutral loss transitions. Unbiased metabolite profiling was also performed by utilizing high-resolution mass spectrometry data to annotate a total of 2,118 metabolites with 125 modification types; of these, 165 modified metabolites were identified in this study. Next, the WTMM database was used to assess diseased tomato tissues and 29 biomarkers were analyzed. In summary, the WTMM strategy is not only capable of large-scale detection and quantitative analysis of plant-modified metabolites in plants, but also can be used for plant biomarker development.

Key words: LC-MS, metabolic diversity, metabolite modificomics, modified groups, tomato

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