Computational metabolomics reveals overlooked chemodiversity of alkaloid scaffolds in Piper fimbriulatum
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Researchers explored the alkaloid diversity in Piper fimbriulatum using advanced metabolomics. They discovered novel compounds, expanding knowledge of Piperaceae phytochemistry and showcasing computational tools for metabolite discovery.
Area Of Science
- Plant biochemistry and metabolomics
- Natural product discovery
- Computational chemistry and bioinformatics
Background
- Plant specialized metabolites are vital for physiological and ecological functions.
- The Piper genus (Piperaceae) is recognized for its rich and diverse phytochemistry.
- Discovering novel compounds in known species is crucial for biological insights.
Purpose Of The Study
- To investigate the alkaloid diversity of the myrmecophytic plant Piper fimbriulatum.
- To identify novel alkaloids and expand the known chemical repertoire of the Piperaceae family.
- To demonstrate the utility of advanced computational metabolomics workflows in natural product discovery.
Main Methods
- Employed untargeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) for metabolomic profiling.
- Utilized open MS/MS spectral libraries and data repositories for metabolite annotation and dereplication.
- Applied computational workflows for literature mining and phylogenetic mapping of alkaloid scaffolds.
Main Results
- Identified several alkaloids across five distinct classes within Piper fimbriulatum.
- Isolated and characterized one novel seco-benzylisoquinoline alkaloid, named fimbriulatumine.
- Many identified alkaloids were previously unreported in the Piperaceae family, highlighting overlooked chemodiversity.
Conclusions
- The study significantly expands the known alkaloid diversity of the Piperaceae family.
- Advanced computational metabolomics workflows are effective for uncovering novel natural products in well-studied plant groups.
- Findings provide a framework for understanding the evolutionary biosynthesis of specialized metabolites and promote wider adoption of these tools.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.