Structural investigation of ribosomally synthesized natural products by hypothetical structure enumeration and evaluation using tandem MS

Computational advances in biosynthetic gene cluster discovery and prediction

Biosynthetic gene clusters (BGCs) are groups of clustered genes found in bacteria, fungi, and some plants and animals that are crucial for synthesizing secondary metabolites. In recent years, genome mining of BGCs has emerged as a prominent research focus, particularly in natural product discovery and drug development. Compared to traditional experimental methods, applying computational techniques has significantly enhanced the efficiency of BGC identification and annotation, thereby facilitating the discovery of novel metabolites. The advent of artificial intelligence, particularly machine learning models and more advanced deep learning algorithms, has significantly enhanced both the speed and precision of BGC mining. This review offers a comprehensive introduction to currently developed BGC databases and prediction tools, highlighting the potential of machine learning technologies in BGC mining. Additionally, it summarizes the challenges computational methods face in this area and discusses future research directions.

Discovery, Biosynthesis, and Characterization of Rodencin, a Two-Component Lanthipeptide, Harboring d-Amino Acids Introduced by the Unusual Dehydrogenase RodJA

Lanthipeptides, a group of ribosomally synthesized and post-translationally modified peptides (RiPPs), exhibit diverse structures and bioactivities. Their biosynthetic enzymes serve as valuable tools for peptide bioengineering. Here, we report a class II lanthipeptide biosynthetic gene cluster in a Bacillus strain, driving the biosynthesis of a two-component lanthipeptide, termed rodencin, featured by the presence of two different d-amino acids, i.e., d-Ala and d-Abu. Rodencin displays synergistic antimicrobial activity against food-borne pathogens such as Bacillus cereus, Staphylococcus aureus, and Listeria monocytogenes. The α-peptide of rodencin contains one d-Ala and the β-peptide features both d-Ala and d-Abu. These are installed by dehydratases RodM1 and RodM2 and dehydrogenase RodJA, the activities of which were successfully reconstituted using a dedicated E. coli expression system. To illustrate the unusual d-Abu incorporation potential of the enzymes, analogous to the d-amino acid-containing β peptide of lacticin 3147, was successfully produced with the rodencin heterologous expression system, by employing RodM2 and the dehydrogenase RodJA.

Systematic mining of the human microbiome identifies antimicrobial peptides with diverse activity spectra

Human-associated bacteria secrete modified peptides to control host physiology and remodel the microbiota species composition. Here we scanned 2,229 Human Microbiome Project genomes of species colonizing skin, gastrointestinal tract, urogenital tract, mouth and trachea for gene clusters encoding RiPPs (ribosomally synthesized and post-translationally modified peptides). We found 218 lanthipeptides and 25 lasso peptides, 70 of which were synthesized and expressed in E. coli and 23 could be purified and functionally characterized. They were tested for activity against bacteria associated with healthy human flora and pathogens. New antibiotics were identified against strains implicated in skin, nasal and vaginal dysbiosis as well as from oral strains selectively targeting those in the gut. Extended- and narrow-spectrum antibiotics were found against methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococci. Mining natural products produced by human-associated microbes will enable the elucidation of ecological relationships and may be a rich resource for antimicrobial discovery.

HypoRiPPAtlas as an Atlas of hypothetical natural products for mass spectrometry database search

Recent analyses of public microbial genomes have found over a million biosynthetic gene clusters, the natural products of the majority of which remain unknown. Additionally, GNPS harbors billions of mass spectra of natural products without known structures and biosynthetic genes. We bridge the gap between large-scale genome mining and mass spectral datasets for natural product discovery by developing HypoRiPPAtlas, an Atlas of hypothetical natural product structures, which is ready-to-use for in silico database search of tandem mass spectra. HypoRiPPAtlas is constructed by mining genomes using seq2ripp, a machine-learning tool for the prediction of ribosomally synthesized and post-translationally modified peptides (RiPPs). In HypoRiPPAtlas, we identify RiPPs in microbes and plants. HypoRiPPAtlas could be extended to other natural product classes in the future by implementing corresponding biosynthetic logic. This study paves the way for large-scale explorations of biosynthetic pathways and chemical structures of microbial and plant RiPP classes.

Advances in mining and expressing microbial biosynthetic gene clusters

Natural products (NPs) especially the secondary metabolites originated from microbes exhibit great importance in biomedical, industrial and agricultural applications. However, mining biosynthetic gene clusters (BGCs) to produce novel NPs has been hindered owing that a large population of environmental microbes are unculturable. In the past decade, strategies to explore BGCs directly from (meta)genomes have been established along with the fast development of high-throughput sequencing technologies and the powerful bioinformatics data-processing tools, which greatly expedited the exploitations of novel BGCs from unculturable microbes including the extremophilic microbes. In this review, we firstly summarized the popular bioinformatics tools and databases available to mine novel BGCs from (meta)genomes based on either pure cultures or pristine environmental samples. Noticeably, approaches rooted from machine learning and deep learning with focuses on the prediction of ribosomally synthesized and post-translationally modified peptides (RiPPs) were dramatically increased in recent years. Moreover, synthetic biology techniques to express the novel BGCs in culturable native microbes or heterologous hosts were introduced. This working pipeline including the discovery and biosynthesis of novel NPs will greatly advance the exploitations of the abundant but unexplored microbial BGCs.

Mammalian Commensal Streptococci Utilize a Rare Family of Class VI Lanthipeptide Synthetases to Synthesize Miniature Lanthipeptide-type Ribosomal Peptide Natural Products

Ribosomally synthesized and post-translationally modified peptides (RiPPs) are natural products with remarkable chemical and functional diversities. These peptides are often synthesized as signals or antibiotics and frequently associated with quorum sensing (QS) systems. With the increasing number of available genomes, many hitherto unseen RiPP biosynthetic pathways have been mined, providing new resources for novel bioactive compounds. Herein, we investigated the underexplored biosynthetic potential of Streptococci, prevalent bacteria in mammal-microbiomes that include pathogenic, mutualistic, and commensal members. Using the transcription factor-centric genome mining strategy, we discovered a new family of lanthipeptide biosynthetic loci under the control of potential QS. By in vitro studies, we investigated the reaction of one of these lanthipeptide synthetases and found that it installs only one lanthionine moiety onto its short precursor peptide by connecting a conserved TxxC region. Bioinformatics and in vitro studies revealed that these lanthipeptide synthetases (class VI) are novel lanthipeptide synthetases with a truncated lyase, a kinase, and a truncated cyclase domain. Our data provide important insights into the processing and evolution of lanthipeptide synthetase to tailor smaller substrates. The data are important for obtaining a mechanistic understanding of the post-translational biosynthesis machinery of the growing variety of lanthipeptides.

Functional expression of diverse post-translational peptide-modifying enzymes in Escherichia coli under uniform expression and purification conditions

RiPPs (ribosomally-synthesized and post-translationally modified peptides) are a class of pharmaceutically-relevant natural products expressed as precursor peptides before being enzymatically processed into their final functional forms. Bioinformatic methods have illuminated hundreds of thousands of RiPP enzymes in sequence databases and the number of characterized chemical modifications is growing rapidly; however, it remains difficult to functionally express them in a heterologous host. One challenge is peptide stability, which we addressed by designing a RiPP stabilization tag (RST) based on a small ubiquitin-like modifier (SUMO) domain that can be fused to the N- or C-terminus of the precursor peptide and proteolytically removed after modification. This is demonstrated to stabilize expression of eight RiPPs representative of diverse phyla. Further, using Escherichia coli for heterologous expression, we identify a common set of media and growth conditions where 24 modifying enzymes, representative of diverse chemistries, are functional. The high success rate and broad applicability of this system facilitates: (i) RiPP discovery through high-throughput “mining” and (ii) artificial combination of enzymes from different pathways to create a desired peptide.

Partially Modified Peptide Intermediates in Lanthipeptide Biosynthesis Alter the Structure and Dynamics of a Lanthipeptide Synthetase

Lanthipeptide synthetases construct macrocyclic peptide natural products by catalyzing an iterative cascade of post-translational modifications. Class II lanthipeptide synthetases (LanM enzymes) catalyze multiple rounds of peptide dehydration and thioether macrocycle formation in a manner that guides precursor peptide maturation to the biologically active final product with high fidelity. The mechanistic details underlying the contradictory phenomena of substrate flexibility coupled with high biosynthetic fidelity have proven challenging to illuminate. In this work, we employ mass spectrometry to investigate how the structure of a maturing precursor lanthipeptide (HalA2) influences the local and global structure of its cognate lanthipeptide synthetase (HalM2). Using enzymatically synthesized HalA2 peptides that contain sets of native thioether macrocycles, we employ ion mobility mass spectrometry (IM-MS) to show that HalA2 macrocyclization alters the conformational landscape of the HalM2 enzyme in a systematic manner. Hydrogen-deuterium exchange mass spectrometry (HDX-MS) studies show that local HalM2 structural dynamics also change in response to HalA2 post-translational modification. Notably, deuterium uptake in a critical HalM2 α-helical region depends on the number of thioether macrocycles present in the HalA2 core peptide. Binding of the isolated leader and core peptide portions of the modular HalA2 precursor led to a synergistic structuring of this α-helical region, providing evidence for distinct leader and core peptide binding sites that independently alter the dynamics of this functionally critical α-helix. The data support a mechanistic model where the sequential post-translational modification of HalA2 alters the conformational dynamics of HalM2 in regions of the enzyme that are known to be functionally critical.

Lanthipeptides from the Same Core Sequence: Characterization of a Class II Lanthipeptide Synthetase from Microcystis aeruginosa NIES-88

Class II lanthipeptide synthetases (LanMs) are relatively promiscuous to core peptide variations. Previous studies have shown that different LanMs catalyze identical reactions on the same core sequence fused to their respective cognate leaders. We characterized a new LanM enzyme from Microcystis aeruginosa NIES-88, MalM, and demonstrated that MalM and ProcM exhibited disparate dehydration and cyclization patterns on identical core peptides. Our study provided new insights into the regioselectivity of LanMs and showcased an appropriate strategy for lanthipeptide structural diversity engineering.

Selection for constrained peptides that bind to a single target protein

Peptide secondary metabolites are common in nature and have diverse pharmacologically-relevant functions, from antibiotics to cross-kingdom signaling. Here, we present a method to design large libraries of modified peptides in Escherichia coli and screen them in vivo to identify those that bind to a single target-of-interest. Constrained peptide scaffolds were produced using modified enzymes gleaned from microbial RiPP (ribosomally synthesized and post-translationally modified peptide) pathways and diversified to build large libraries. The binding of a RiPP to a protein target leads to the intein-catalyzed release of an RNA polymerase σ factor, which drives the expression of selectable markers. As a proof-of-concept, a selection was performed for binding to the SARS-CoV-2 Spike receptor binding domain. A 1625 Da constrained peptide (AMK-1057) was found that binds with similar affinity (990 ± 5 nM) as an ACE2-derived peptide. This demonstrates a generalizable method to identify constrained peptides that adhere to a single protein target, as a step towards "molecular glues" for therapeutics and diagnostics.

Mining and Biosynthesis of Bioactive Lanthipeptides From Microorganisms

Antimicrobial resistance is one of the most serious public health issues in the worldwide and only a few new antimicrobial drugs have been discovered in recent decades. To overcome the ever-increasing emergence of multidrug-resistant (MDR) pathogens, discovery of new natural products (NPs) against MDR pathogens with new technologies is in great demands. Lanthipeptides which are ribosomally synthesized and post-translationally modified peptides (RiPPs) display high diversity in their chemical structures and mechanisms of action. Genome mining and biosynthetic engineering have also yielded new lanthipeptides, which are a valuable source of drug candidates. In this review we cover the recent advances in the field of microbial derived lanthipeptide discovery and development.

Brevibacillin 2V, a Novel Antimicrobial Lipopeptide With an Exceptionally Low Hemolytic Activity

Bacterial non-ribosomally produced peptides (NRPs) form a rich source of antibiotics, including more than 20 of these antibiotics that are used in the clinic, such as penicillin G, colistin, vancomycin, and chloramphenicol. Here we report the identification, purification, and characterization of a novel NRP, i.e., brevibacillin 2V (lipo-tridecapeptide), from Brevibacillus laterosporus DSM 25. Brevibacillin 2V has a strong antimicrobial activity against Gram-positive bacterial pathogens (minimum inhibitory concentration = 2 mg/L), including difficult-to-treat antibiotic-resistant Enterococcus faecium, Enterococcus faecalis, and Staphylococcus aureus. Notably, brevibacillin 2V has a much lower hemolytic activity (HC₅₀ > 128 mg/L) and cytotoxicity (CC₅₀ = 45.49 ± 0.24 mg/L) to eukaryotic cells than previously reported NRPs of the lipo-tridecapeptide family, including other brevibacillins, which makes it a promising candidate for antibiotic development. In addition, our results demonstrate that brevibacillins display a synergistic action with established antibiotics against Gram-negative bacterial pathogens. Probably due to the presence of non-canonical amino acids and D-amino acids, brevibacillin 2V showed good stability in human plasma. Thus, we identified and characterized a novel and promising antimicrobial candidate (brevibacillin 2V) with low hemolytic activity and cytotoxicity, which can be used either on its own or as a template for further total synthesis and modification.

BrevicidineB, a New Member of the Brevicidine Family, Displays an Extended Target Specificity

The group of bacterial non-ribosomally produced peptides (NRPs) has formed a rich source for drug development. Brevicidine, a bacterial non-ribosomally produced cyclic lipo-dodecapeptide, displays selective antimicrobial activity against Gram-negative pathogens. Here, we show that brevicidineB, which contains a single substitution (Tyr2 to Phe2) in the amino acid sequence of the linear part of brevicidine, has a broadened antimicrobial spectrum, showing bactericidal activity against both Gram-negative (with a MIC value of 2 to 4 mg/L) and Gram-positive (with a MIC value of 2 to 8 mg/L) pathogens. Compared with an earlier reported member of the brevicidine family, the broadened antimicrobial spectrum of brevicidineB is caused by its increased membrane disruptive capacity on Gram-positive pathogens, which was evidenced by fluorescence microscopy assays. In addition, DiSC3(5) and resazurin assays show that brevicidine and brevicidineB exert their antimicrobial activity against Gram-negative bacteria via disrupting the proton motive force of cells. Notably, as a brevicidine family member, brevicidineB also showed neither hemolytic activity nor cytotoxicity at a high concentration of 64 mg/L. This study provides a promising antibiotic candidate (brevicidineB) with a broad antimicrobial spectrum, and provides novel insights into the antimicrobial mode of action of brevicidines.

Exploring structural signatures of the lanthipeptide prochlorosin 2.8 using tandem mass spectrometry and trapped ion mobility-mass spectrometry

Lanthipeptides are a family of ribosomally synthesized and post-translationally modified peptides (RiPPs) characterized by intramolecular thioether cross-links formed between a dehydrated serine/threonine (dSer/dThr) and a cysteine residue. Prochlorosin 2.8 (Pcn2.8) is a class II lanthipeptide that exhibits a non-overlapping thioether ring pattern, for which no biological activity has been reported yet. The variant Pcn2.8[16RGD] has been shown to bind tightly to the αvβ3 integrin receptor. In the present work, tandem mass spectrometry, using collision-induced dissociation (CID) and electron capture dissociation (ECD), and trapped ion mobility spectrometry-mass spectrometry (TIMS-MS) were used to investigate structural signatures for the non-overlapping thioether ring pattern of Pcn2.8. CID experiments on Pcn2.8 yielded b_i and y_j fragments between the thioether cross-links, evidencing the presence of a non-overlapping thioether ring pattern. ECD experiments of Pcn2.8 showed a significant increase of hydrogen migration events near the residues involved in the thioether rings with a more pronounced effect at the dehydrated residues as compared to the cysteine residues. The high-resolution mobility analysis, aided by site-directed mutagenesis ([P8A], [P11A], [P12A], [P8A/P11A], [P8A/P12A], [P11A/P12A], and [P8A/P11A/P12A] variants), demonstrated that Pcn2.8 adopts cis/trans-conformations at Pro8, Pro11, and Pro12 residues. These observations were complementary to recent NMR findings, for which only the Pro8 residue was evidenced to adopt cis/trans-orientations. This study highlights the analytical power of the TIMS-MS/MS workflow for the structural characterization of lanthipeptides and could be a useful tool in our understanding of the biologically important structural elements that drive the thioether cyclization process.

RiPPMiner-Genome: A Web Resource for Automated Prediction of Crosslinked Chemical Structures of RiPPs by Genome Mining

RiPPMiner-Genome is a unique bioinformatics resource for identifying Biosynthetic Gene Clusters (BGC) for RiPPs (Ribosomally Synthesized and Post-translationally Modified Peptides) and automated prediction of crosslinked chemical structures of RiPPs starting from genomic sequences. It is a major update of the RiPPMiner webserver, which used only peptide sequence of RiPP precursors as input for predicting RiPP class and crosslinked chemical structures. Other major improvements are, machine learning (ML) based identification of correct RiPP precursor peptide from among multiple small ORFs (Open Reading Frames) in a BGC, prediction of the cleavage site and cross-links in thiopeptides and identification of non-crosslinked modified residues in lanthipeptides. It has been benchmarked on a dataset of 204 experimentally characterized RiPP BGCs. RiPPMiner-Genome also facilitates visualization of the RiPP BGCs and depiction of the chemical structure of crosslinked RiPP. It also has an interface for searching characterized RiPPs, similar to the predicted core peptide sequence or crosslinked chemical structure.

Mutations in Dynamic Structural Elements Alter the Kinetics and Fidelity of the Multifunctional Class II Lanthipeptide Synthetase, HalM2

Class II lanthipeptide synthetases (LanM enzymes) catalyze the multistep post-translational modification of genetically encoded precursor peptides into macrocyclic (often antimicrobial) lanthipeptides. The reaction sequence involves dehydration of serine/threonine residues, followed by intramolecular addition of cysteine thiols onto the nascent dehydration sites to construct thioether bridges. LanMs utilize two separate active sites in an iterative yet highly coordinated manner to maintain a remarkable level of regio- and stereochemical control over the multistep maturation. The mechanisms underlying this biosynthetic fidelity remain enigmatic. We recently demonstrated that proper function of the haloduracin β synthetase (HalM2) requires dynamic structural elements scattered across the surface of the enzyme. Here, we perform kinetic simulations, structural analysis of reaction intermediates, hydrogen-deuterium exchange mass spectrometry studies, and molecular dynamics simulations to investigate the contributions of these dynamic HalM2 structural elements to biosynthetic efficiency and fidelity. Our studies demonstrate that a large, conserved loop (HalM2 residues P349-P405) plays essential roles in defining the precursor peptide binding site, facilitating efficient peptide dehydration, and guiding the order of thioether ring formation. Moreover, mutations near the interface of the HalM2 dehydratase and cyclase domains perturb cyclization fidelity and result in aberrant thioether topologies that cannot be corrected by the wild type enzyme, suggesting an element of kinetic control in the normal cyclization sequence. Overall, this work provides the most comprehensive correlation of the structural and functional properties of a LanM enzyme reported to date and should inform mechanistic studies of the biosynthesis of other ribosomally synthesized and post-translationally modified peptide natural products.

Matters of class: coming of age of class III and IV lanthipeptides

Lanthipeptides belong to the superfamily of ribosomally-synthesized and posttranslationally-modified peptides (RiPPs). Despite the fact that they represent one of the longest known RiPP subfamilies, their youngest members, classes III and IV, have only been described more recently. Since then, a plethora of studies furthered the understanding of their biosynthesis. While there are commonalities between classes III and IV due to the similar domain architectures of their processing enzymes, there are also striking differences that allow their discrimination. In this concise review article, we summarize what is known about the underlying biosynthetic principles of these lanthipeptides and discuss open questions for future research.

Mimicry of a Non-ribosomally Produced Antimicrobial, Brevicidine, by Ribosomal Synthesis and Post-translational Modification

The group of bacterial non-ribosomally produced peptides (NRPs) forms a rich source of antibiotics, such as daptomycin, vancomycin, and teixobactin. The difficulty of functionally expressing and engineering the corresponding large biosynthetic complexes is a bottleneck in developing variants of such peptides. Here, we apply a strategy to synthesize mimics of the recently discovered antimicrobial NRP brevicidine. We mimicked the molecular structure of brevicidine by ribosomally synthesized, post-translationally modified peptide (RiPP) synthesis, introducing several relevant modifications, such as dehydration and thioether ring formation. Following this strategy, in two rounds peptides were engineered in vivo, which showed antibacterial activity against Gram-negative pathogenic bacteria susceptible to wild-type brevicidine. This study demonstrates the feasibility of a strategy to structurally and functionally mimic NRPs by employing the synthesis and post-translational modifications typical for RiPPs. This enables the future generation of large genetically encoded peptide libraries of NRP-mimicking structures to screen for antimicrobial activity against relevant pathogens.

Genome mining strategies for ribosomally synthesised and post-translationally modified peptides

Genome mining is a computational method for the automatic detection and annotation of biosynthetic gene clusters (BGCs) from genomic data. This approach has been increasingly utilised in natural product (NP) discovery due to the large amount of sequencing data that is now available. Ribosomally synthesised and post-translationally modified peptides (RiPPs) are a class of structurally complex NP with diverse bioactivities. RiPPs have recently been shown to occupy a much larger expanse of genomic and chemical space than previously appreciated, indicating that annotation of RiPP BGCs in genomes may have been overlooked in the past. This review provides an overview of the genome mining tools that have been specifically developed to aid in the discovery of RiPP BGCs, which have been built from an increasing knowledgebase of RiPP structures and biosynthesis. Given these recent advances, the application of targeted genome mining has great potential to accelerate the discovery of important molecules such as antimicrobial and anticancer agents whilst increasing our understanding about how these compounds are biosynthesised in nature.

Discovery and Characterization of a Class IV Lanthipeptide with a Nonoverlapping Ring Pattern

Lanthipeptides constitute a major family of ribosomally synthesized and post-translationally modified peptides (RiPPs). They are classified into four subfamilies, based on the characteristics of their lanthipeptide synthetases. While over a hundred lanthipeptides have been discovered to date, very few of them are class IV lanthipeptides and the latter are all structurally similar. Here, we identified an uncharacterized group of class IV lanthipeptides using bioinformatics analysis. One representative pathway from Streptomyces sp. NRRL S-1022 was expressed in Escherichia coli, which generated a lanthipeptide with two nonoverlapping rings that have not been reported for known class IV lanthipeptides. Further investigation into the biosynthetic mechanism revealed that multiple modification pathways are in operation in which dehydration and cyclization occur in parallel. While peptidases for maturation of class IV lanthipeptides have been elusive, two aminopeptidases encoded in the genome of Streptomyces sp. NRRL S-1022 were shown to process the modified peptide by the dual endopeptidase/aminopeptidase activity. This work opens doors to discover more class IV lanthipeptides with interesting structural features and biological activities.

A Structural View on the Maturation of Lanthipeptides

Lanthipeptides are ribosomally synthesized and posttranslationally modified peptides, which display diverse bioactivities (e.g., antifungal, antimicrobial, and antiviral). One characteristic of these lanthipeptides is the presence of thioether bonds, which are termed (methyl-) lanthionine rings. These modifications are installed by corresponding modification enzymes in a two-step modality. First, serine and threonine residues are dehydrated followed by a subsequent catalyzed cyclization reaction, in which the dehydrated serine and threonine residues are undergoing a Michael-type addition with cysteine residues. The dedicated enzymes are encoded by one or two genes and the classification of lanthipeptides is pending on this. The modification steps form the basis of distinguishing the different classes of lanthipeptides and furthermore reflect also important mechanistic differences. Here, we will summarize recent insights into the mechanisms and the structures of the participating enzymes, focusing on the two core modification steps - dehydration and cyclization.

Genome mining as a biotechnological tool for the discovery of novel marine natural products

Compared to terrestrial environments, the oceans harbor a variety of environments, creating higher biodiversity, which gives marine natural products a high occurrence of significant biology and novel chemistry. However, traditional bioassay-guided isolation and purification strategies are severely limiting the discovery of additional novel natural products from the ocean. With an increasing number of marine microorganisms being sequenced, genome mining is gradually becoming a powerful tool to retrieve novel marine natural products. In this review, we have summarized genome mining approaches used to analyze key enzymes of biosynthetic pathways and predict the chemical structure of new gene clusters by introducing successful stories that used genome mining strategy to identify new marine-derived compounds. Furthermore, we also put forward challenges for genome mining techniques and their proposed solutions. The detailed analysis of the genome mining strategy will help researchers to understand this novel technique and its application. With the development of a genome sequence, genome mining strategies will be applied more widely, which will drive rapid development in the field of marine natural product development.

DeepRiPP integrates multiomics data to automate discovery of novel ribosomally synthesized natural products

Microbial natural products represent a rich resource of evolved chemistry that forms the basis for the majority of pharmacotherapeutics. Ribosomally synthesized and posttranslationally modified peptides (RiPPs) are a particularly interesting class of natural products noted for their unique mode of biosynthesis and biological activities. Analyses of sequenced microbial genomes have revealed an enormous number of biosynthetic loci encoding RiPPs but whose products remain cryptic. In parallel, analyses of bacterial metabolomes typically assign chemical structures to only a minority of detected metabolites. Aligning these 2 disparate sources of data could provide a comprehensive strategy for natural product discovery. Here we present DeepRiPP, an integrated genomic and metabolomic platform that employs machine learning to automate the selective discovery and isolation of novel RiPPs. DeepRiPP includes 3 modules. The first, NLPPrecursor, identifies RiPPs independent of genomic context and neighboring biosynthetic genes. The second module, BARLEY, prioritizes loci that encode novel compounds, while the third, CLAMS, automates the isolation of their corresponding products from complex bacterial extracts. DeepRiPP pinpoints target metabolites using large-scale comparative metabolomics analysis across a database of 10,498 extracts generated from 463 strains. We apply the DeepRiPP platform to expand the landscape of novel RiPPs encoded within sequenced genomes and to discover 3 novel RiPPs, whose structures are exactly as predicted by our platform. By building on advances in machine learning technologies, DeepRiPP integrates genomic and metabolomic data to guide the isolation of novel RiPPs in an automated manner.

Characterization of glutamyl-tRNA-dependent dehydratases using nonreactive substrate mimics

The peptide natural product nisin has been used as a food preservative for 6 decades with minimal development of resistance. Nisin contains the unusual amino acids dehydroalanine and dehydrobutyrine, which are posttranslationally installed by class I lanthipeptide dehydratases (LanBs) on a linear peptide substrate through an unusual glutamyl-tRNA-dependent dehydration of Ser and Thr. To date, little is known about how LanBs catalyze the transfer of glutamate from charged tRNA^Glu to the peptide substrate, or how they carry out the subsequent elimination of the peptide-glutamyl adducts to afford dehydro amino acids. Here, we describe the synthesis of inert analogs that mimic substrate glutamyl-tRNA^Glu and the glutamylated peptide intermediate, and determine the crystal structures of 2 LanBs in complex with each of these compounds. Mutational studies were used to characterize the function of the glutamylation and glutamate elimination active-site residues identified through the structural analysis. These combined studies provide insights into the mechanisms of substrate recognition, glutamylation, and glutamate elimination by LanBs to effect a net dehydration reaction of Ser and Thr.

RiPPMiner: a bioinformatics resource for deciphering chemical structures of RiPPs based on prediction of cleavage and cross-links

Ribosomally synthesized and post-translationally modified peptides (RiPPs) constitute a rapidly growing class of natural products with diverse structures and bioactivities. We have developed RiPPMiner, a novel bioinformatics resource for deciphering chemical structures of RiPPs by genome mining. RiPPMiner derives its predictive power from machine learning based classifiers, trained using a well curated database of more than 500 experimentally characterized RiPPs. RiPPMiner uses Support Vector Machine to distinguish RiPP precursors from other small proteins and classify the precursors into 12 sub-classes of RiPPs. For classes like lanthipeptide, cyanobactin, lasso peptide and thiopeptide, RiPPMiner can predict leader cleavage site and complex cross-links between post-translationally modified residues starting from genome sequences. RiPPMiner can identify correct cross-link pattern in a core peptide from among a very large number of combinatorial possibilities. Benchmarking of prediction accuracy of RiPPMiner on a large lanthipeptide dataset indicated high sensitivity, specificity, accuracy and precision. RiPPMiner also provides interfaces for visualization of the chemical structure, downloading of simplified molecular-input line-entry system and searching for RiPPs having similar sequences or chemical structures. The backend database of RiPPMiner provides information about modification system, precursor sequence, leader and core sequence, modified residues, cross-links and gene cluster for more than 500 experimentally characterized RiPPs. RiPPMiner is available at http://www.nii.ac.in/rippminer.html.

Bioinformatic Mapping of Radical S-Adenosylmethionine-Dependent Ribosomally Synthesized and Post-Translationally Modified Peptides Identifies New Cα, Cβ, and Cγ-Linked Thioether-Containing Peptides

Recently developed bioinformatic tools have bolstered the discovery of ribosomally synthesized and post-translationally modified peptides (RiPPs). Using an improved version of Rapid ORF Description and Evaluation Online (RODEO 2.0), a biosynthetic gene cluster mining algorithm, we bioinformatically mapped the sactipeptide RiPP class via the radical S-adenosylmethionine (SAM) enzymes that form the characteristic sactionine (sulfur-to-α carbon) cross-links between cysteine and acceptor residues. Hundreds of new sactipeptide biosynthetic gene clusters were uncovered, and a novel sactipeptide "huazacin" with growth-suppressive activity against Listeria monocytogenes was characterized. Bioinformatic analysis further suggested that a group of sactipeptide-like peptides heretofore referred to as six cysteines in forty-five residues (SCIFFs) might not be sactipeptides as previously thought. Indeed, the bioinformatically identified SCIFF peptide "freyrasin" was demonstrated to contain six thioethers linking the β carbons of six aspartate residues. Another SCIFF, thermocellin, was shown to contain a thioether cross-linked to the γ carbon of threonine. SCIFFs feature a different paradigm of non-α carbon thioether linkages, and they are exclusively formed by radical SAM enzymes, as opposed to the polar chemistry employed during lanthipeptide biosynthesis. Therefore, we propose the renaming of the SCIFF family as radical non-α thioether peptides (ranthipeptides) to better distinguish them from the sactipeptide and lanthipeptide RiPP classes.

The role of protein–protein interactions in the biosynthesis of ribosomally synthesized and post-translationally modified peptides

This review covers the role of protein–protein complexes in the biosynthesis of selected ribosomally synthesized and post-translationally modified peptide (RiPP) classes.

Characterization of Leader Peptide Binding During Catalysis by the Nisin Dehydratase NisB

The dehydratase NisB performs stepwise tRNA^Glu-dependent glutamylation of Ser/Thr residues and subsequent glutamate elimination to effect eight dehydrations in the biosynthesis of the antibacterial peptide nisin. Its substrate, NisA, bears a C-terminal core peptide that is modified and an N-terminal leader peptide (LP) that is not modified but that is required for efficient dehydration. To elucidate the mechanism of LP-NisB interactions during dehydration, we engineered a disulfide that covalently links the NisA LP to NisB. The enzyme fully dehydrated tethered NisA, confirming the functional LP binding site and supporting a mechanism where NisB uses a single LP binding site for glutamylation and elimination. We also show an order of NisA and tRNA^Glu binding to NisB that enables dehydration.

The Enzymology of Prochlorosin Biosynthesis

Lanthipeptides are ribosomally synthesized and posttranslationally modified peptides containing thioether cross-links formed through addition of a cysteine to a dehydroalanine (to form lanthionine) or to a dehydrobutyrine (to form 3-methyllanthionine). Genome sequencing of marine cyanobacteria lead to the discovery of 1.6 million open reading frames encoding lanthipeptides. In many cases, a genome encodes a single lanthipeptide synthetase, but a large number of substrates. The enzymatic modification process in Prochlorococcus MIT9313 has been reconstituted in vitro, and a variety of experimental approaches have been used to try and understand how one enzyme is capable of modifying 30 different substrates. The methods used to characterize this system will be described along with a brief genomic description of the lanthipeptide landscape found in Prochlorococcus and Synechococcus.

Mining molecular structure databases: Identification of small molecules based on fragmentation mass spectrometry data

Mass spectrometry (MS) is a key technology for the analysis of small molecules. For the identification and structural elucidation of novel molecules, new approaches beyond straightforward spectral comparison are required. In this review, we will cover computational methods that help with the identification of small molecules by analyzing fragmentation MS data. We focus on the four main approaches to mine a database of metabolite structures, that is rule-based fragmentation spectrum prediction, combinatorial fragmentation, competitive fragmentation modeling, and molecular fingerprint prediction. © 2016 Wiley Periodicals, Inc. Mass Spec Rev 36:624-633, 2017.

Comparative analysis of chemical similarity methods for modular natural products with a hypothetical structure enumeration algorithm

Natural products represent a prominent source of pharmaceutically and industrially important agents. Calculating the chemical similarity of two molecules is a central task in cheminformatics, with applications at multiple stages of the drug discovery pipeline. Quantifying the similarity of natural products is a particularly important problem, as the biological activities of these molecules have been extensively optimized by natural selection. The large and structurally complex scaffolds of natural products distinguish their physical and chemical properties from those of synthetic compounds. However, no analysis of the performance of existing methods for molecular similarity calculation specific to natural products has been reported to date. Here, we present LEMONS, an algorithm for the enumeration of hypothetical modular natural product structures. We leverage this algorithm to conduct a comparative analysis of molecular similarity methods within the unique chemical space occupied by modular natural products using controlled synthetic data, and comprehensively investigate the impact of diverse biosynthetic parameters on similarity search. We additionally investigate a recently described algorithm for natural product retrobiosynthesis and alignment, and find that when rule-based retrobiosynthesis can be applied, this approach outperforms conventional two-dimensional fingerprints, suggesting it may represent a valuable approach for the targeted exploration of natural product chemical space and microbial genome mining. Our open-source algorithm is an extensible method of enumerating hypothetical natural product structures with diverse potential applications in bioinformatics.

Evolutionary radiation of lanthipeptides in marine cyanobacteria

Lanthipeptides are ribosomally derived peptide secondary metabolites that undergo extensive posttranslational modification. Prochlorosins are a group of lanthipeptides produced by certain strains of the ubiquitous marine picocyanobacteria Prochlorococcus and Synechococcus Unlike other lanthipeptide-producing bacteria, picocyanobacteria use an unprecedented mechanism of substrate promiscuity for the production of numerous and diverse lanthipeptides using a single lanthionine synthetase. Through a cross-scale analysis of prochlorosin biosynthesis genes-from genomes to oceanic populations-we show that marine picocyanobacteria have the collective capacity to encode thousands of different cyclic peptides, few of which would display similar ring topologies. To understand how this extensive structural diversity arises, we used deep sequencing of wild populations to reveal genetic variation patterns in prochlorosin genes. We present evidence that structural variability among prochlorosins is the result of a diversifying selection process that favors large, rather than small, sequence changes in the precursor peptide genes. This mode of molecular evolution disregards any conservation of the ancestral structure and enables the emergence of extensively different cyclic peptides through short mutational paths based on indels. Contrary to its fast-evolving peptide substrates, the prochlorosin lanthionine synthetase evolves under a strong purifying selection, indicating that the diversification of prochlorosins is not constrained by commensurate changes in the biosynthetic enzyme. This evolutionary interplay between the prochlorosin peptide substrates and the lanthionine synthetase suggests that structure diversification, rather than structure refinement, is the driving force behind the creation of new prochlorosin structures and represents an intriguing mechanism by which natural product diversity arises.

Biosynthetic Insights into Linaridin Natural Products from Genome Mining and Precursor Peptide Mutagenesis

Linaridin is a small class of peptide natural products belonging to the ribosomally synthesized and post-translationally modified peptides (RiPPs) superfamily. By an extensive genome-wide survey of linaridin biosynthetic genes, we show that this class of natural products is widespread in nature and possesses vast structural diversity. The linaridin precursor peptides are relatively conserved in the N-termini but have diverse sequences in the core region, which appear to have coevolved with the biosynthetic enzymes. Using the prototypic linaridin cypemycin as a model, we have explored the structure-activity relationships involved in precursor peptide maturation and generated a diverse set of novel cypemycin variants, among which the T2S variant exhibits enhanced activity against Micrococcus luteus. Our results reveal valuable insights into linaridin biosynthesis and highlight the potential to explore this class of natural products by genome mining and by biosynthetic engineering studies.

Mechanistic Understanding of Lanthipeptide Biosynthetic Enzymes

Lanthipeptides are ribosomally synthesized and post-translationally modified peptides (RiPPs) that display a wide variety of biological activities, from antimicrobial to antiallodynic. Lanthipeptides that display antimicrobial activity are called lantibiotics. The post-translational modification reactions of lanthipeptides include dehydration of Ser and Thr residues to dehydroalanine and dehydrobutyrine, a transformation that is carried out in three unique ways in different classes of lanthipeptides. In a cyclization process, Cys residues then attack the dehydrated residues to generate the lanthionine and methyllanthionine thioether cross-linked amino acids from which lanthipeptides derive their name. The resulting polycyclic peptides have constrained conformations that confer their biological activities. After installation of the characteristic thioether cross-links, tailoring enzymes introduce additional post-translational modifications that are unique to each lanthipeptide and that fine-tune their activities and/or stability. This review focuses on studies published over the past decade that have provided much insight into the mechanisms of the enzymes that carry out the post-translational modifications.

New Insights into the Biosynthetic Logic of Ribosomally Synthesized and Post-translationally Modified Peptide Natural Products

Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a large group of structurally diverse natural products. Their biological activities and unique biosynthetic pathways have sparked a growing interest in RiPPs. Furthermore, the relatively low genetic complexity associated with RiPP biosynthesis makes them excellent candidates for synthetic biology applications. This Review highlights recent developments in the understanding of the biosynthesis of several bacterial RiPP family members, the use of the RiPP biosynthetic machinery for generating novel macrocyclic peptides, and the implementation of tools designed to guide the discovery and characterization of novel RiPPs.

Deciphering bioactive peptides and their action mechanisms through proteomics

INTRODUCTION

Bioactive peptides such as antimicrobial peptides (AMPs), ribosomally synthesized and post translationally modified peptides (RiPPs) and the non-ribosomal peptides (NRPs) have emerged with promising applications in medicine, agriculture and industry. However, their development has been limited by several difficulties making it necessary to search for novel discovery methods. In this context, proteomics has been considered a reliable tool. Areas covered: This review highlights recent developments in proteomic tools that facilitate the discovery of AMPs, RiPPs and NRPs as well as the elucidation of action mechanisms of AMPs and resistance mechanisms of pathogens to them. Expert commentary: Proteomic approaches have emerged as useful tools for the study of bioactive peptides, especially mass spectrometry-based peptidomics profiling, a promising strategy for AMP discovery. Furthermore, the rapidly expanding fields of genome mining and genome sequencing techniques, as well as mass spectrometry, have revolutionized the discovery of novel RiPPs and NRPs from complex biological samples.

Synthetic Biology of Natural Products

The diversity and natural modularity of their biosynthetic pathways has turned natural products into attractive, but challenging, targets for synthetic biology approaches. Here, we discuss the current state of the field, highlighting recent advances and remaining bottlenecks. Global genomic assessments of natural product biosynthetic capacities across large parts of microbial diversity provide a first survey of the available natural parts libraries and identify evolutionary design rules for further engineering. Methods for compound and pathway detection and characterization are developed increasingly on the basis of synthetic biology tools, contributing to an accelerated translation of genomic information into usable building blocks for pathway assembly. A wide range of methods is also becoming available for accessing ever larger parts of chemical space by rational diversification of natural products, guided by rapid progress in our understanding of the underlying biochemistry and enzymatic mechanisms. Enhanced genome assembly and editing tools, adapted to the needs of natural products research, facilitate the realization of ambitious engineering strategies, ranging from combinatorial library generation to high-throughput optimization of product titers. Together, these tools and concepts contribute to the emergence of a new generation of revitalized natural product research.

Leader Peptide Establishes Dehydration Order, Promotes Efficiency, and Ensures Fidelity During Lacticin 481 Biosynthesis

The mechanisms by which lanthipeptide synthetases control the order in which they catalyze multiple chemical processes are poorly understood. The lacticin 481 synthetase (LctM) cleaves eight chemical bonds and forms six new chemical bonds in a controlled and ordered process. Two general mechanisms have been suggested for the temporal and spatial control of these transformations. In the spatial positioning model, leader peptide binding promotes certain reactions by establishing the spatial orientation of the substrate peptide relative to the synthetase active sites. In the intermediate structure model, the LctM-catalyzed dehydration and cyclization reactions that occur in two distinct active sites orchestrate the overall process by imparting a specific structure into the maturing peptide that facilitates the ensuing reaction. Using isotopically labeled LctA analogues with engineered lacticin 481 biosynthetic machinery and mass spectrometry analysis, we show here that the LctA leader peptide plays critical roles in establishing the modification order and enhancing the catalytic efficiency and fidelity of the synthetase. The data are most consistent with a mechanistic model for LctM where both spatial positioning and intermediate structure contribute to efficient biosynthesis.

A high-throughput peptidomic strategy to decipher the molecular diversity of cyclic cysteine-rich peptides

Cyclotides are plant cyclic cysteine-rich peptides (CRPs). The cyclic nature is reported to be gene-determined with a precursor containing a cyclization-competent domain which contains an essential C-terminal Asn/Asp (Asx) processing signal recognized by a cyclase. Linear forms of cyclotides are rare and are likely uncyclizable because they lack this essential C-terminal Asx signal (uncyclotide). Here we show that in the cyclotide-producing plant Clitoria ternatea, both cyclic and acyclic products, collectively named cliotides, can be bioprocessed from the same cyclization-competent precursor. Using an improved peptidomic strategy coupled with the novel Asx-specific endopeptidase butelase 2 to linearize cliotides at a biosynthetic ligation site for transcriptomic analysis, we characterized 272 cliotides derived from 38 genes. Several types of post-translational modifications of the processed cyclotides were observed, including deamidation, oxidation, hydroxylation, dehydration, glycosylation, methylation, and truncation. Taken together, our results suggest that cyclotide biosynthesis involves 'fuzzy' processing of precursors into both cyclic and linear forms as well as post-translational modifications to achieve molecular diversity, which is a commonly found trait of natural product biosynthesis.

Structure and tRNA Specificity of MibB, a Lantibiotic Dehydratase from Actinobacteria Involved in NAI-107 Biosynthesis

Class I lantibiotic dehydratases dehydrate selected Ser/Thr residues of a precursor peptide. Recent studies demonstrated the requirement of glutamyl-tRNA(Glu) for Ser/Thr activation by one of these enzymes (NisB) from the Firmicute Lactococcus lactis. However, the generality of glutamyl-tRNA(Glu) usage and the tRNA specificity of lantibiotic dehydratases have not been established. Here we report the 2.7-Å resolution crystal structure, along with the glutamyl-tRNA(Glu) utilization of MibB, a lantibiotic dehydratase from the Actinobacterium Microbispora sp. 107891 involved in the biosynthesis of the clinical candidate NAI-107. Biochemical assays revealed nucleotides A73 and U72 within the tRNA(Glu) acceptor stem to be important for MibB glutamyl-tRNA(Glu) usage. Using this knowledge, an expression system for the production of NAI-107 analogs in Escherichia coli was developed, overcoming the inability of MibB to utilize E. coli tRNA(Glu). Our work provides evidence for a common tRNA(Glu)-dependent dehydration mechanism, paving the way for the characterization of lantibiotics from various phyla.

Dereplication, sequencing and identification of peptidic natural products: from genome mining to peptidogenomics to spectral networks

Covering: 2000 to 2015. While recent breakthroughs in the discovery of peptide antibiotics and other Peptidic Natural Products (PNPs) raise a challenge for developing new algorithms for their analyses, the computational technologies for high-throughput PNP discovery are still lacking. We discuss the computational bottlenecks in analyzing PNPs and review recent advances in genome mining, peptidogenomics, and spectral networks that are now enabling the discovery of new PNPs via mass spectrometry. We further describe the connections between these advances and the new generation of software tools for PNP dereplication, de novo sequencing, and identification.

Genomes to natural products PRediction Informatics for Secondary Metabolomes (PRISM)

Microbial natural products are an invaluable source of evolved bioactive small molecules and pharmaceutical agents. Next-generation and metagenomic sequencing indicates untapped genomic potential, yet high rediscovery rates of known metabolites increasingly frustrate conventional natural product screening programs. New methods to connect biosynthetic gene clusters to novel chemical scaffolds are therefore critical to enable the targeted discovery of genetically encoded natural products. Here, we present PRISM, a computational resource for the identification of biosynthetic gene clusters, prediction of genetically encoded nonribosomal peptides and type I and II polyketides, and bio- and cheminformatic dereplication of known natural products. PRISM implements novel algorithms which render it uniquely capable of predicting type II polyketides, deoxygenated sugars, and starter units, making it a comprehensive genome-guided chemical structure prediction engine. A library of 57 tailoring reactions is leveraged for combinatorial scaffold library generation when multiple potential substrates are consistent with biosynthetic logic. We compare the accuracy of PRISM to existing genomic analysis platforms. PRISM is an open-source, user-friendly web application available at http://magarveylab.ca/prism/.

An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products

Bacterial natural products are a diverse and valuable group of small molecules, and genome sequencing indicates that the vast majority remain undiscovered. The prediction of natural product structures from biosynthetic assembly lines can facilitate their discovery, but highly automated, accurate, and integrated systems are required to mine the broad spectrum of sequenced bacterial genomes. Here we present a genome-guided natural products discovery tool to automatically predict, combinatorialize and identify polyketides and nonribosomal peptides from biosynthetic assembly lines using LC–MS/MS data of crude extracts in a high-throughput manner. We detail the directed identification and isolation of six genetically predicted polyketides and nonribosomal peptides using our Genome-to-Natural Products platform. This highly automated, user-friendly programme provides a means of realizing the potential of genetically encoded natural products.

Microbial natural products represent a large reservoir of potential pharmaceutical agents. Here, Johnston et al. describe a computer-automated programme for connecting genome sequences with identified and isolated natural products.

Applications of the class II lanthipeptide protease LicP for sequence-specific, traceless peptide bond cleavage

The class II lanthipeptide protease LicP maturates through self-cleavage and enables sequence-specific, traceless peptide bond cleavage.

The final step of lanthipeptide biosynthesis involves the removal of leader peptides by dedicated proteases. In vitro characterization of LicP, a class II LanP protease involved in the biosynthesis of the lantibiotic lichenicidin, revealed a self-cleavage step that removes 100 amino acids from the N-terminus. The 2.35 Å resolution crystal structure provides insights into the active site geometry and substrate specificity, and unveiled an unusual calcium-independent maturation mechanism of a subtilisin family member. LicP processes LicA2 peptides with or without post-translational modifications, but dehydrated and cyclized LicA2 is favored. Investigation of its substrate specificity demonstrated that LicP can serve as an efficient sequence-specific traceless protease and may have great utility in basic research and biotechnology. Encouraged by these findings for LicP, we identified 13 other class II LanPs, ten of which were previously unknown, and suggest that these proteins may serve as a pool of proteases with diverse recognition sequences for general traceless tag removal applications, expanding the current toolbox of proteases.

Mass spectrometry tools and workflows for revealing microbial chemistry

Since the time Van Leeuwenhoek was able to observe microbes through a microscope, an innovation that led to the birth of the field of microbiology, we have aimed to understand how microorganisms function, interact and communicate. The exciting progress in the development of analytical technologies and workflows has demonstrated that mass spectrometry is a very powerful technique for the interrogation of microbiology at the molecular level. In this review, we aim to highlight the available and emerging tools in mass spectrometry for microbial analysis by overviewing the methods and workflow advances for taxonomic identification, microbial interaction, dereplication and drug discovery. We emphasize their potential for future development and point out unsolved problems and future directions that would aid in the analysis of the chemistry produced by microbes.