Please use this identifier to cite or link to this item: doi:10.22028/D291-47918
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Title: BGC Atlas: a web resource for exploring the global chemical diversity encoded in bacterial genomes
Author(s): Bağcı, Caner
Nuhamunada, Matin
Goyat, Hemant
Ladanyi, Casimir
Sehnal, Ludek
Blin, Kai
Kautsar, Satria A
Tagirdzhanov, Azat
Gurevich, Aleksei
Mantri, Shrikant
von Mering, Christian
Udwary, Daniel
Medema, Marnix H
Weber, Tilmann
Ziemert, Nadine
Language: English
Title: Nucleic acids research
Volume: 53
Issue: D1
Pages: D618-D624
Publisher/Platform: Oxford Univ. Press
Year of Publication: 2024
DDC notations: 004 Computer science, internet
Publikation type: Journal Article
Abstract: Secondary metabolites are compounds not essential for an organism's development, but provide significant ecological and physiological benefits. These compounds have applications in medicine, biotechnology and agriculture. Their production is encoded in biosynthetic gene clusters (BGCs), groups of genes collectively directing their biosynthesis. The advent of metagenomics has allowed researchers to study BGCs directly from environmental samples, identifying numerous previously unknown BGCs encoding unprecedented chemistry. Here, we present the BGC Atlas (https://bgc-atlas.cs.uni-tuebingen.de), a web resource that facilitates the exploration and analysis of BGC diversity in metagenomes. The BGC Atlas identifies and clusters BGCs from publicly available datasets, offering a centralized database and a web interface for metadata-aware exploration of BGCs and gene cluster families (GCFs). We analyzed over 35 000 datasets from MGnify, identifying nearly 1.8 million BGCs, which were clustered into GCFs. The analysis showed that ribosomally synthesized and post-translationally modified peptides are the most abundant compound class, with most GCFs exhibiting high environmental specificity. We believe that our tool will enable researchers to easily explore and analyze the BGC diversity in environmental samples, significantly enhancing our understanding of bacterial secondary metabolites, and promote the identification of ecological and evolutionary factors shaping the biosynthetic potential of microbial communities.
DOI of the first publication: 10.1093/nar/gkae953
URL of the first publication: https://academic.oup.com/nar/article/53/D1/D618/7848841
Link to this record: urn:nbn:de:bsz:291--ds-479181
hdl:20.500.11880/41923
http://dx.doi.org/10.22028/D291-47918
ISSN: 0305-1048
Date of registration: 28-May-2026
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Jun.-Prof. Alexey Gurevich
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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