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Advancing Glucose Conjugated Gibberellins Discovery: A Structure-Oriented Screening and Identification Method for Unraveling Gibberellin Metabolites in Plants.
Zeng, Chen; Cai, Wen-Jing; Jiang, Liu-Cheng; Ye, Tiantian; Feng, Yu-Qi.
Affiliation
  • Zeng C; School of Bioengineering and Health, Wuhan Textile University, Wuhan 430200, China.
  • Cai WJ; Department of Chemistry, Wuhan University, Wuhan 430072, China.
  • Jiang LC; Department of Chemistry, Wuhan University, Wuhan 430072, China.
  • Ye T; Department of Chemistry, Wuhan University, Wuhan 430072, China.
  • Feng YQ; School of Bioengineering and Health, Wuhan Textile University, Wuhan 430200, China.
Metabolites ; 14(2)2024 Jan 29.
Article in En | MEDLINE | ID: mdl-38392988
ABSTRACT
Gibberellins (GAs) play a pivotal role in modulating plant growth and development. Glucose-conjugated gibberellins (Glc-GAs), a prevalent conjugated form of GAs, regulate intracellular GA levels by the coupling and decoupling of glucose groups. However, the diversity of Glc-GAs identified within individual species remains limited, hinting at a multitude of yet undiscovered gibberellin metabolites. This lacuna poses considerable impediments to research efforts dedicated to comprehensively delineating the GA metabolic pathway. In this study, we developed a structure-oriented screening and identification method for Glc-GAs in plant species by employing LC-MS/MS coupled with chemical derivatization. Through the application of chemical derivatization technique, carboxyl groups on Glc-GAs were labeled which effectively enhanced the sensitivity and selectivity of mass spectrometry detection for these compounds. Concurrently, the integration of mass spectrometry fragmentation and chromatographic retention behavior facilitated the efficient screening and identification of potential Glc-GAs. With this strategy, we screened and identified 12 potential Glc-GAs from six plant species. These findings expand the Glc-GA diversity in plants and contribute to understanding GA metabolic pathways.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Metabolites Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Metabolites Year: 2024 Document type: Article Affiliation country: Country of publication: