Ultrahigh resolution metabolomics for S-containing metabolites

Area of Science:

• Plant metabolomics
• Synthetic biology
• Mass spectrometry

Background:

• Genome editing enhances opportunities for producing bioactive metabolites in host organisms.
• Sulfur-containing metabolites (S-metabolites) have valuable bioactivities but are challenging to identify via traditional metabolomics.
• Mass spectrometry-based metabolomics faces difficulties in the chemical assignment of S-metabolites.

Purpose of the Study:

• To review recent advancements in targeted metabolomic analysis of S-metabolites (S-omics) in plants.
• To highlight a novel method for characterizing S-metabolites using ultrahigh resolution mass spectrometry.
• To discuss the potential of S-omics in synthetic biology applications.

Main Methods:

• Utilizing ultrahigh resolution mass spectrometry for targeted metabolomic analysis.
• Employing the differences in exact mass and signal intensity between 32S- and 34S-containing ions.
• Developing a new method for the characterization of S-metabolites based on isotopic signatures.

Main Results:

• Recent advances enable targeted metabolomic analysis of S-metabolites in plants.
• A novel method effectively characterizes S-metabolites by analyzing sulfur isotope ratios (32S vs. 34S).
• This approach facilitates the identification and assignment of S-metabolites previously difficult to detect.

Conclusions:

• The development of S-omics provides powerful tools for plant metabolomics.
• This technique offers new avenues for discovering and characterizing bioactive S-metabolites.
• S-omics holds significant promise for advancing synthetic biology by enabling enhanced metabolite production.