Dataset Information

MetaMiner: A Scalable Peptidogenomics Approach for Discovery of Ribosomal Peptide Natural Products with Blind Modifications from Microbial Communities.

ABSTRACT: Ribosomally synthesized and post-translationally modified peptides (RiPPs) are an important class of natural products that contain antibiotics and a variety of other bioactive compounds. The existing methods for discovery of RiPPs by combining genome mining and computational mass spectrometry are limited to discovering specific classes of RiPPs from small datasets, and these methods fail to handle unknown post-translational modifications. Here, we present MetaMiner, a software tool for addressing these challenges that is compatible with large-scale screening platforms for natural product discovery. After searching millions of spectra in the Global Natural Products Social (GNPS) molecular networking infrastructure against just eight genomic and metagenomic datasets, MetaMiner discovered 31 known and seven unknown RiPPs from diverse microbial communities, including human microbiome and lichen microbiome, and microorganisms isolated from the International Space Station.

SUBMITTER: Cao L

PROVIDER: S-EPMC6952069 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Publications

MetaMiner: A Scalable Peptidogenomics Approach for Discovery of Ribosomal Peptide Natural Products with Blind Modifications from Microbial Communities.

Cao Liu L Gurevich Alexey A Alexander Kelsey L KL Naman C Benjamin CB Leão Tiago T Glukhov Evgenia E Luzzatto-Knaan Tal T Vargas Fernando F Quinn Robby R Bouslimani Amina A Nothias Louis Felix LF Singh Nitin K NK Sanders Jon G JG Benitez Rodolfo A S RAS Thompson Luke R LR Hamid Md-Nafiz MN Morton James T JT Mikheenko Alla A Shlemov Alexander A Korobeynikov Anton A Friedberg Iddo I Knight Rob R Venkateswaran Kasthuri K Gerwick William H WH Gerwick Lena L Dorrestein Pieter C PC Pevzner Pavel A PA Mohimani Hosein H

Cell systems 20191016 6

Ribosomally synthesized and post-translationally modified peptides (RiPPs) are an important class of natural products that contain antibiotics and a variety of other bioactive compounds. The existing methods for discovery of RiPPs by combining genome mining and computational mass spectrometry are limited to discovering specific classes of RiPPs from small datasets, and these methods fail to handle unknown post-translational modifications. Here, we present MetaMiner, a software tool for addressin ...[more]

PMID: 31629686

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Project description:Despite rapid evolution in the area of microbial natural products chemistry, there is currently no open access database containing all microbially produced natural product structures. Lack of availability of these data is preventing the implementation of new technologies in natural products science. Specifically, development of new computational strategies for compound characterization and identification are being hampered by the lack of a comprehensive database of known compounds against which to compare experimental data. The creation of an open access, community-maintained database of microbial natural product structures would enable the development of new technologies in natural products discovery and improve the interoperability of existing natural products data resources. However, these data are spread unevenly throughout the historical scientific literature, including both journal articles and international patents. These documents have no standard format, are often not digitized as machine readable text, and are not publicly available. Further, none of these documents have associated structure files (e.g., MOL, InChI, or SMILES), instead containing images of structures. This makes extraction and formatting of relevant natural products data a formidable challenge. Using a combination of manual curation and automated data mining approaches we have created a database of microbial natural products (The Natural Products Atlas, www.npatlas.org) that includes 24 594 compounds and contains referenced data for structure, compound names, source organisms, isolation references, total syntheses, and instances of structural reassignment. This database is accompanied by an interactive web portal that permits searching by structure, substructure, and physical properties. The Web site also provides mechanisms for visualizing natural products chemical space and dashboards for displaying author and discovery timeline data. These interactive tools offer a powerful knowledge base for natural products discovery with a central interface for structure and property-based searching and presents new viewpoints on structural diversity in natural products. The Natural Products Atlas has been developed under FAIR principles (Findable, Accessible, Interoperable, and Reusable) and is integrated with other emerging natural product databases, including the Minimum Information About a Biosynthetic Gene Cluster (MIBiG) repository, and the Global Natural Products Social Molecular Networking (GNPS) platform. It is designed as a community-supported resource to provide a central repository for known natural product structures from microorganisms and is the first comprehensive, open access resource of this type. It is expected that the Natural Products Atlas will enable the development of new natural products discovery modalities and accelerate the process of structural characterization for complex natural products libraries.

Project description:Ribosomally synthesized and Post-translationally modified Peptides (RiPPs) take advantage of the ribosomal translation machinery to generate linear peptides that are subsequently modified with heterocycles and/or macrocycles to impose three-dimensional structure and thwart degradation by proteases. Although RiPP precursors are limited to proteinogenic amino acids, post-translational modifications (PTMs) can alter the structure of individual amino acids and thereby improve the stability and biological activity of the molecule. These "tailoring modifications" often occur on amino acid side chains-for example, hydroxylation, methylation, halogenation, prenylation, and acylation-but can also take place within the backbone, as in epimerization, or can result in capping of the N- or C-terminus. At one extreme, these modifications can be essential to the activity of the RiPP, either as a compulsory step in reaching the final molecule or by imparting chemical functionality required for biological activity. At the other extreme, tailoring PTMs may have little effect on the activity in an in vitro setting-possibly because of test conditions that do not match the biological context in which the PTMs evolved. Establishing the molecular basis for the function of tailoring PTMs often requires a three-dimensional structure of the RiPP bound to its biological target. These structures have revealed roles for tailoring PTMs that include providing additional hydrogen bonds to targets, rigidifying the RiPP structure to reduce the entropic cost of binding, or altering the secondary structure of the peptide backbone. Bacterial RiPPs are particularly suited to structural characterization, as they are relatively easy to isolate from laboratory cultures or to produce in a heterologous host. The identification of new tailoring PTMs within bacteria is also facilitated by clustering of the genes encoding tailoring enzymes with those of the RiPP precursor and primary modification enzymes. In this Account, we describe the effects of tailoring PTMs on RiPP structure, their interactions with biological targets, and their influence on RiPP stability, with a focus on bacterial RiPP classes. We also discuss the enzymes that generate tailoring PTMs and highlight examples of and prospects for engineering of RiPPs.

Dataset Information

MetaMiner: A Scalable Peptidogenomics Approach for Discovery of Ribosomal Peptide Natural Products with Blind Modifications from Microbial Communities.

Publications

MetaMiner: A Scalable Peptidogenomics Approach for Discovery of Ribosomal Peptide Natural Products with Blind Modifications from Microbial Communities.

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