Natural Product Discovery and Analytical Characterization Techniques

Natural product discovery harnesses the vast chemical diversity evolved by organisms to identify molecules with therapeutic, agricultural or industrial value. Traditional approaches begin with sampling from terrestrial or marine sources, followed by solvent extraction, bioactivity screening and fractionation. Modern pipelines integrate genomic and metabolomic data to accelerate target identification and structure elucidation. Genome mining of biosynthetic gene clusters directs researchers to organisms harbouring novel metabolic pathways, while high-resolution mass spectrometry (MS) and nuclear magnetic resonance (NMR) enable rapid structural characterisation. Advances in imaging MS and molecular networking facilitate spatial mapping and clustering of related compounds directly from complex mixtures. High-throughput formats—including microfluidics and fluorescence-activated cell sorting—expand the scope of cultivable microbial diversity and streamline screening. Bioinformatic platforms now automate dereplication, linking spectral data to known compounds and focusing effort on novel chemistry. Together, these techniques have transformed natural product research into an interdisciplinary field that leverages automation, data science and synthetic biology to address global challenges such as antibiotic resistance, cancer and crop protection.

Research from Nature Portfolio

A foundational study employed imaging mass spectrometry combined with molecular networking to uncover a series of amino-polyketide derivatives, termed vitroprocines A–J, from a marine Vibrio species. By integrating bioactivity-guided fractionation with MS-based metabolomics and feeding experiments using 13C-labelled precursors, researchers elucidated biosynthetic logic and confirmed a pyridoxal 5′-phosphate-dependent mechanism. This work exemplifies how advanced MS imaging and computational analysis can accelerate the discovery and structural assignment of novel marine bacterial metabolites.

Natural Product Discovery and Analytical Characterization Techniques publication trend

The graph below shows the total number of articles in natural product discovery and analytical characterization techniques across all publications each year (not limited to Nature Index journals).

Technical terms

Biosynthetic gene cluster (BGC): A contiguous set of genes encoding enzymes and regulators responsible for the synthesis of a specific natural product.

Dereplication: The process of rapidly identifying known compounds in complex mixtures to avoid rediscovery and focus on novel entities.

Molecular networking: A bioinformatic approach to organise mass spectrometry data into networks based on spectral similarity, facilitating the visualisation of chemical relationships.

Microfluidics: The manipulation of small fluid volumes in microscale channels to enable high-throughput screening and isolation of microorganisms.

Fluorescence-activated cell sorting (FACS): A technique that labels and sorts individual cells using fluorescent markers to enrich microbial populations of interest.

References

1. Vitroprocines, new antibiotics against Acinetobacter baumannii, discovered from marine Vibrio sp. QWI-06 using mass-spectrometry-based metabolomics approach. Scientific Reports (2015).
2. Genomes and secondary metabolomes of Streptomyces spp. isolated from Leontopodium nivale ssp. alpinum. Frontiers in Microbiology (2024).
3. NP Analyst: An Open Online Platform for Compound Activity Mapping. ACS Central Science (2022).
4. Combination of high‐throughput microfluidics and FACS technologies to leverage the numbers game in natural product discovery. Microbial Biotechnology (2021).