IMG-ABC v.5.0: an update to the IMG/Atlas of Biosynthetic Gene Clusters Knowledgebase

Abstract Microbial secondary metabolism is a reservoir of bioactive compounds of immense biotechnological and biomedical potential. The biosynthetic machinery responsible for the production of these secondary metabolites (SMs) (also called natural products) is often encoded by collocated groups of g...

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Veröffentlicht in:Nucleic acids research 2020-01, Vol.48 (D1), p.D422-D430
Hauptverfasser: Palaniappan, Krishnaveni, Chen, I-Min A, Chu, Ken, Ratner, Anna, Seshadri, Rekha, Kyrpides, Nikos C, Ivanova, Natalia N, Mouncey, Nigel J
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container_end_page D430
container_issue D1
container_start_page D422
container_title Nucleic acids research
container_volume 48
creator Palaniappan, Krishnaveni
Chen, I-Min A
Chu, Ken
Ratner, Anna
Seshadri, Rekha
Kyrpides, Nikos C
Ivanova, Natalia N
Mouncey, Nigel J
description Abstract Microbial secondary metabolism is a reservoir of bioactive compounds of immense biotechnological and biomedical potential. The biosynthetic machinery responsible for the production of these secondary metabolites (SMs) (also called natural products) is often encoded by collocated groups of genes called biosynthetic gene clusters (BGCs). High-throughput genome sequencing of both isolates and metagenomic samples combined with the development of specialized computational workflows is enabling systematic identification of BGCs and the discovery of novel SMs. In order to advance exploration of microbial secondary metabolism and its diversity, we developed the largest publicly available database of predicted BGCs combined with experimentally verified BGCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC) (https://img.jgi.doe.gov/abc-public). Here we describe the first major content update of the IMG-ABC knowledgebase, since its initial release in 2015, refreshing the BGC prediction pipeline with the latest version of antiSMASH (v5) as well as presenting the data in the context of underlying environmental metadata sourced from GOLD (https://gold.jgi.doe.gov/). This update has greatly improved the quality and expanded the types of predicted BGCs compared to the previous version.
doi_str_mv 10.1093/nar/gkz932
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High-throughput genome sequencing of both isolates and metagenomic samples combined with the development of specialized computational workflows is enabling systematic identification of BGCs and the discovery of novel SMs. In order to advance exploration of microbial secondary metabolism and its diversity, we developed the largest publicly available database of predicted BGCs combined with experimentally verified BGCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC) (https://img.jgi.doe.gov/abc-public). Here we describe the first major content update of the IMG-ABC knowledgebase, since its initial release in 2015, refreshing the BGC prediction pipeline with the latest version of antiSMASH (v5) as well as presenting the data in the context of underlying environmental metadata sourced from GOLD (https://gold.jgi.doe.gov/). 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subjects Bacteriocins - biosynthesis
Bacteriocins - genetics
BASIC BIOLOGICAL SCIENCES
Biosynthetic Pathways - genetics
Database Issue
Databases, Genetic
Genome, Microbial
Knowledge Bases
Metadata
Metagenome
Multigene Family
Secondary Metabolism - genetics
User-Computer Interface
title IMG-ABC v.5.0: an update to the IMG/Atlas of Biosynthetic Gene Clusters Knowledgebase
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