Molecular Networking as a Dereplication Strategy
journal contributionposted on 27.09.2013 by Jane Y. Yang, Laura M. Sanchez, Christopher M. Rath, Xueting Liu, Paul D. Boudreau, Nicole Bruns, Evgenia Glukhov, Anne Wodtke, Rafael de Felicio, Amanda Fenner, Weng Ruh Wong, Roger G. Linington, Lixin Zhang, Hosana M. Debonsi, William H. Gerwick, Pieter C. Dorrestein
Any type of content formally published in an academic journal, usually following a peer-review process.
A major goal in natural product discovery programs is to rapidly dereplicate known entities from complex biological extracts. We demonstrate here that molecular networking, an approach that organizes MS/MS data based on chemical similarity, is a powerful complement to traditional dereplication strategies. Successful dereplication with molecular networks requires MS/MS spectra of the natural product mixture along with MS/MS spectra of known standards, synthetic compounds, or well-characterized organisms, preferably organized into robust databases. This approach can accommodate different ionization platforms, enabling cross correlations of MS/MS data from ambient ionization, direct infusion, and LC-based methods. Molecular networking not only dereplicates known molecules from complex mixtures, it also captures related analogues, a challenge for many other dereplication strategies. To illustrate its utility as a dereplication tool, we apply mass spectrometry-based molecular networking to a diverse array of marine and terrestrial microbial samples, illustrating the dereplication of 58 molecules including analogues.