Evidence map›Paper›PMID 31451725›Full record

ArticleNature communications2019

Uncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences.

Vincent Libis, Niv Antonovsky, Mengyin Zhang, Zhuo Shang, Daniel Montiel, Jeffrey Maniko, Melinda A Ternei, Paula Y Calle, Christophe Lemetre, Jeremy G Owen and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
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  10. Fighting Antimicrobial Resistance: Innovative Drugs in Antibacterial Research.Angewandte Chemie (International ed. in English) · 2025
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
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  18. Bacterial natural product discovery by heterologous expression.Journal of industrial microbiology & biotechnology · 2023
    Review
  19. Article
  20. Article
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

11 authors.

Vincent LibisLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA.ORCID http://orcid.org/0000-0001-8057-2196
Niv AntonovskyLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA.
Mengyin ZhangLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA.
Zhuo ShangLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA.ORCID http://orcid.org/0000-0002-5755-2629
Daniel MontielLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA.
Jeffrey ManikoLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA.
Melinda A TerneiLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA.ORCID http://orcid.org/0000-0002-5693-9944
Paula Y CalleLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA.
Christophe LemetreLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA.
Jeremy G OwenLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA.
Sean F BradyLaboratory of Genetically Encoded Small Molecules, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA. sbrady@rockefeller.edu.ORCID http://orcid.org/0000-0001-5967-8586

Funding

A minimally invasive synthetic bio-driven approach for natural products discoveryU01GM110714 · NIGMS · ROCKEFELLER UNIVERSITY · PI BRADY, SEAN F · 2015 to 2019
$11.1M
Discovery of Antibiotics from Soil Microbiomes Using MetagenomicsR35GM122559 · NIGMS · ROCKEFELLER UNIVERSITY · PI SEAN F BRADY · 2017 to 2026
$4.7M
NIGMS NIH HHS R35 GM122559NIGMS NIH HHS U01 GM110714
6 · The paper itself

Abstract

Sequencing of DNA extracted from environmental samples can provide key insights into the biosynthetic potential of uncultured bacteria. However, the high complexity of soil metagenomes, which can contain thousands of bacterial species per gram of soil, imposes significant challenges to explore secondary metabolites potentially produced by rare members of the soil microbiome. Here, we develop a targeted sequencing workflow termed CONKAT-seq (co-occurrence network analysis of targeted sequences) that detects physically clustered biosynthetic domains, a hallmark of bacterial secondary metabolism. Following targeted amplification of conserved biosynthetic domains in a highly partitioned metagenomic library, CONKAT-seq evaluates amplicon co-occurrence patterns across library subpools to identify chromosomally clustered domains. We show that a single soil sample can contain more than a thousand uncharacterized biosynthetic gene clusters, most of which originate from low frequency genomes which are practically inaccessible through untargeted sequencing. CONKAT-seq allows scalable exploration of largely untapped biosynthetic diversity across multiple soils, and can guide the discovery of novel secondary metabolites from rare members of the soil microbiome.

Indexed as

Soil MicrobiologyBacteriaBiosynthetic PathwaysDNA, BacterialMetagenomeMicrobiotaMultigene FamilySecondary MetabolismSequence Analysis, DNADNA, Bacterial

Identifiers

PMID31451725
PMCPMC6710260

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.