Glycogenomics as a mass spectrometry-guided genome-mining method for microbial glycosylated molecules

TitleGlycogenomics as a mass spectrometry-guided genome-mining method for microbial glycosylated molecules
Publication TypeJournal Article
Year of Publication2013
AuthorsKersten RD, Ziemert N., Gonzalez D.J, Duggan BM, Nizet V., Dorrestein PC, Moore BS
JournalProceedings of the National Academy of Sciences of the United States of America
Date Published2013/11
Type of ArticleArticle
ISBN Number0027-8424
Accession NumberWOS:000327100600005
Keywordsantibiotics; biosynthetic gene-cluster; deoxysugar; drug discovery; identification; marine actinomycete salinispora; megalomicin; microbial genomics; natural-product; networking; pathway; polyketide; polyketide synthase; secondary metabolite; structural elucidation

Glycosyl groups are an essential mediator of molecular interactions in cells and on cellular surfaces. There are very few methods that directly relate sugar-containing molecules to their biosynthetic machineries. Here, we introduce glycogenomics as an experiment-guided genome-mining approach for fast characterization of glycosylated natural products (GNPs) and their biosynthetic pathways from genome-sequenced microbes by targeting glycosyl groups in microbial metabolomes. Microbial GNPs consist of aglycone and glycosyl structure groups in which the sugar unit(s) are often critical for the GNP's bioactivity, e.g., by promoting binding to a target biomolecule. GNPs are a structurally diverse class of molecules with important pharmaceutical and agrochemical applications. Herein, O- and N- glycosyl groups are characterized in their sugar monomers by tandem mass spectrometry (MS) and matched to corresponding glycosylation genes in secondary metabolic pathways by a MS-glycogenetic code. The associated aglycone biosynthetic genes of the GNP genotype then classify the natural product to further guide structure elucidation. We highlight the glycogenomic strategy by the characterization of several bioactive glycosylated molecules and their gene clusters, including the anticancer agent cinerubin B from Streptomyces sp. SPB74 and an antibiotic, arenimycin B, from Salinispora arenicola CNB-527.

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