Biological Systems Discovery In Silico: Radical S-Adenosylmethionine Protein Families and Their Target Peptides for Posttranslational Modification▿†

Data mining methods in bioinformatics and comparative genomics commonly rely on working definitions of protein families from prior computation. Partial phylogenetic profiling (PPP), by contrast, optimizes family sizes during its searches for the cooccurring protein families that serve different roles in the same biological system. In a large-scale investigation of the incredibly diverse radical S-adenosylmethionine (SAM) enzyme superfamily, PPP aided in building a collection of 68 TIGRFAMs hidden Markov models (HMMs) that define nonoverlapping and functionally distinct subfamilies. Many identify radical SAM enzymes as molecular markers for multicomponent biological systems; HMMs defining their partner proteins also were constructed. Newly found systems include five groupings of protein families in which at least one marker is a radical SAM enzyme while another, encoded by an adjacent gene, is a short peptide predicted to be its substrate for posttranslational modification. The most prevalent, in over 125 genomes, featuring a peptide that we designate SCIFF (six cysteines in forty-five residues), is conserved throughout the class Clostridia, a distribution inconsistent with putative bacteriocin activity. A second novel system features a tandem pair of putative peptide-modifying radical SAM enzymes associated with a highly divergent family of peptides in which the only clearly conserved feature is a run of His-Xaa-Ser repeats. A third system pairs a radical SAM domain peptide maturase with selenocysteine-containing targets, suggesting a new biological role for selenium. These and several additional novel maturases that cooccur with predicted target peptides share a C-terminal additional 4Fe4S-binding domain with PqqE, the subtilosin A maturase AlbA, and the predicted mycofactocin and Nif11-class peptide maturases as well as with activators of anaerobic sulfatases and quinohemoprotein amine dehydrogenases. Radical SAM enzymes with this additional domain, as detected by TIGR04085, significantly outnumber lantibiotic synthases and cyclodehydratases combined in reference genomes while being highly enriched for members whose apparent targets are small peptides. Interpretation of comparative genomics evidence suggests unexpected (nonbacteriocin) roles for natural products from several of these systems

A mass spectrometry–guided genome mining approach for natural product peptidogenomics

Peptide natural products exhibit broad biological properties and are commonly produced by orthogonal ribosomal and nonribosomal pathways in prokaryotes and eukaryotes. To harvest this large and diverse resource of bioactive molecules, we introduce Natural Product Peptidogenomics (NPP), a new mass spectrometry-guided genome mining method that connects the chemotypes of peptide natural products to their biosynthetic gene clusters by iteratively matching de novo MS(n) structures to genomics-based structures following current biosynthetic logic. In this study we demonstrate that NPP enabled the rapid characterization of >10 chemically diverse ribosomal and nonribosomal peptide natural products of novel composition from streptomycete bacteria as a proof of concept to begin automating the genome mining process. We show the identification of lantipeptides, lasso peptides, linardins, formylated peptides and lipopeptides, many of which from well-characterized model streptomycetes, highlighting the power of NPP in the discovery of new peptide natural products from even intensely studied organisms