2015
DOI: 10.1128/mbio.00932-15
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IMG-ABC: A Knowledge Base To Fuel Discovery of Biosynthetic Gene Clusters and Novel Secondary Metabolites

Abstract: In the discovery of secondary metabolites, analysis of sequence data is a promising exploration path that remains largely underutilized due to the lack of computational platforms that enable such a systematic approach on a large scale. In this work, we present IMG-ABC (https://img.jgi.doe.gov/abc), an atlas of biosynthetic gene clusters within the Integrated Microbial Genomes (IMG) system, which is aimed at harnessing the power of “big” genomic data for discovering small molecules. IMG-ABC relies on IMG’s comp… Show more

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Cited by 97 publications
(92 citation statements)
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“…Most of the predicted BC products were unclassified, reflecting both the limited information available for characterized natural products and the rich genomic resource of biosynthetic capabilities contributed by GEBA-I. For example, nine new phenazine pathways with novel operon structures and genes were identified in the GEBA-I genomes 23 . Phenazines are a large class of nitrogencontaining heterocyclic secondary metabolites that have potent antimicrobial and antifungal activity, and are produced by a wide (c) Maximum 16S rRNA distance of genomes contributing a GEBA-I-only protein cluster.…”
Section: Biosynthetic Clusters For Secondary Metabolitesmentioning
confidence: 99%
See 1 more Smart Citation
“…Most of the predicted BC products were unclassified, reflecting both the limited information available for characterized natural products and the rich genomic resource of biosynthetic capabilities contributed by GEBA-I. For example, nine new phenazine pathways with novel operon structures and genes were identified in the GEBA-I genomes 23 . Phenazines are a large class of nitrogencontaining heterocyclic secondary metabolites that have potent antimicrobial and antifungal activity, and are produced by a wide (c) Maximum 16S rRNA distance of genomes contributing a GEBA-I-only protein cluster.…”
Section: Biosynthetic Clusters For Secondary Metabolitesmentioning
confidence: 99%
“…A total of 23,839 BCs were predicted from 1,003 GEBA-I genomes using the IMG-ABC system 23 . Three Pseudonocardiaceae genomes (Pseudonocardia acaciae, P. spinosispora and Sciscionella marina) encoded the greatest total number of BCs among all GEBA-I genomes (Fig.…”
Section: Biosynthetic Clusters For Secondary Metabolitesmentioning
confidence: 99%
“…In order to determine which RMA gene clusters are similar to already sequenced, but not necessarily experimentally confirmed, gene clusters, we used a gene cluster similarity networking approach with the JGI Atlas of Biosynthetic gene Clusters (ABC) database as our comparison set (Hadjithomas et al, 2015). This dataset is composed of all genomes deposited in JGI and run with ClusterFinder and antiSMASH to locate and annotate secondary metabolite gene clusters.…”
Section: Gene Cluster Similarity Networkmentioning
confidence: 99%
“…Fortunately, advances in high-quality genome sequences of Streptomyces isolates ( Figure 1) and other secondary metabolite-producing organisms have sparked the development of such specialized computational resources, including databases and genome/compound mining tools, and the representative ones are presented herein. First, BGC databases allow for easy access and evaluation of curated and predicted BGCs, such as the Minimum Information on Biosynthetic Gene Clusters (MIBiG), [20] the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC), [21] and the antiSMASH database. [22] For the secondary metabolite compounds, several comprehensive databases exist as well, including NORINE [23] specifically for non-ribosomal peptides (NRPs), Antibiotic'ome [24] for the predicted molecular targets of antibiotics, and StreptomeDB, [25] which presents information on compounds produced by streptomycetes.…”
Section: Characterization Of Bgcs and Their Secondary Metabolites Thrmentioning
confidence: 99%