Evidence map›Paper›PMID 39470730›Full record

ArticleNucleic acids research2025

BGC Atlas: a web resource for exploring the global chemical diversity encoded in bacterial genomes.

Caner Bağcı, Matin Nuhamunada, Hemant Goyat, Casimir Ladanyi, Ludek Sehnal, Kai Blin, Satria A Kautsar, Azat Tagirdzhanov, Alexey Gurevich, Shrikant Mantri and 5 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
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  7. Diversity of FAAL enzymes and prediction of their substrate specificity using FAALPred.Protein science : a publication of the Protein Society · 2026
    Article
  8. Article
  9. ARTS-DB 2.0: an expanded database for target-directed genome mining across bacteria and fungi.Database : the journal of biological databases and curation · 2026
    Article
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  11. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Caner BağcıTranslational Genome Mining for Natural Products, Interfaculty Institute of Microbiology and Infection Medicine Tübingen (IMIT), Interfaculty Institute for Biomedical Informatics (IBMI), University of Tübingen, Auf der Morgenstelle 28, 72076 Tübingen, Germany.
Matin NuhamunadaThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Søltofts Plads, Building 220, 2800 Kongens Lyngby, Denmark.ORCID 0000-0003-3177-8299
Hemant GoyatComputational Biology, National Agri-Food Biotechnology Institute (NABI), Sector 81, S.A.S. Nagar, Mohali, Punjab 140306, India.
Casimir LadanyiTranslational Genome Mining for Natural Products, Interfaculty Institute of Microbiology and Infection Medicine Tübingen (IMIT), Interfaculty Institute for Biomedical Informatics (IBMI), University of Tübingen, Auf der Morgenstelle 28, 72076 Tübingen, Germany.
Ludek SehnalTranslational Genome Mining for Natural Products, Interfaculty Institute of Microbiology and Infection Medicine Tübingen (IMIT), Interfaculty Institute for Biomedical Informatics (IBMI), University of Tübingen, Auf der Morgenstelle 28, 72076 Tübingen, Germany.
Kai BlinThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Søltofts Plads, Building 220, 2800 Kongens Lyngby, Denmark.ORCID 0000-0003-3764-6051
Satria A KautsarDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA.
Azat TagirdzhanovHelmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research (HZI), Campus E8 1, 66123 Saarbrücken, Germany.
Alexey GurevichHelmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research (HZI), Campus E8 1, 66123 Saarbrücken, Germany.
Shrikant MantriComputational Biology, National Agri-Food Biotechnology Institute (NABI), Sector 81, S.A.S. Nagar, Mohali, Punjab 140306, India.
Christian von MeringDepartment of Molecular Life Sciences, and Swiss Institute of Bioinformatics, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.
Daniel UdwaryDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA.ORCID 0000-0002-3491-0198
Marnix H MedemaBioinformatics Group, Wageningen University, Droevendaalsesteeg 1 Radix West, 6708PB Wageningen, The Netherlands.ORCID 0000-0002-2191-2821
Tilmann WeberThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Søltofts Plads, Building 220, 2800 Kongens Lyngby, Denmark.ORCID 0000-0002-8260-5120
Nadine ZiemertTranslational Genome Mining for Natural Products, Interfaculty Institute of Microbiology and Infection Medicine Tübingen (IMIT), Interfaculty Institute for Biomedical Informatics (IBMI), University of Tübingen, Auf der Morgenstelle 28, 72076 Tübingen, Germany.ORCID 0000-0002-7264-1857

Funding

Department of Energy DE-AC02-05CH11231Federal Ministry of Research and Education (BMBF) 161L0284CGerman Centre for Infection Research (DZIF) TTU09.716Horizon Europe-Research and Innovation Framework Programme 101064285National Agri-Food Biotechnology InstituteNovo Nordisk Foundation NNF20CC0035580Office of ScienceSaarland University
6 · The paper itself

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.

Indexed as

Genome, BacterialInternetMultigene FamilyBacteriaBiosynthetic PathwaysDatabases, GeneticMetagenomeMetagenomicsSecondary MetabolismSoftware

Identifiers

PMID39470730
PMCPMC11701567

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.