Evidence map›Paper›PMID 35435454›Full record

ArticleApplied microbiology and biotechnology2022

A rapid and efficient strategy to identify and recover biosynthetic gene clusters from soil metagenomes.

Timo Negri, Shrikant Mantri, Angel Angelov, Silke Peter, Günther Muth, Alessandra S Eustáquio, Nadine Ziemert

Open access · hybridAbstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

7 authors at 5 institutions in 3 countries.

Timo NegriInterfaculty Institute of Microbiology and Infection Medicine Tübingen (IMIT), University of Tübingen, Tübingen, Germany.
Shrikant MantriInterfaculty Institute of Microbiology and Infection Medicine Tübingen (IMIT), University of Tübingen, Tübingen, Germany.
Angel AngelovNGS Competence Center Tübingen (NCCT), Institut Für Medizinische Mikrobiologie Und Hygiene, Universitätsklinikum Tübingen, Tübingen, Germany.
Silke PeterNGS Competence Center Tübingen (NCCT), Institut Für Medizinische Mikrobiologie Und Hygiene, Universitätsklinikum Tübingen, Tübingen, Germany.
Günther MuthInterfaculty Institute of Microbiology and Infection Medicine Tübingen (IMIT), University of Tübingen, Tübingen, Germany.
Alessandra S EustáquioUniversity of Illinois at Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-7852-7844
Nadine ZiemertInterfaculty Institute of Microbiology and Infection Medicine Tübingen (IMIT), University of Tübingen, Tübingen, Germany. nadine.ziemert@uni-tuebingen.de.ORCID http://orcid.org/0000-0002-7264-1857
Universitätsklinikum Tübingen · DEUniversity of Tübingen · DEGerman Center for Infection Research · DENational Agri-Food Biotechnology Institute · INUniversity of Illinois Chicago · US

Funding

Institutional Career DevelopmentKL2TR002002 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PHILLIPS, SHANE A · 2016 to 2024
$6.8M
Development of a Bacterial Host for Natural Product Discovery and ProductionR01GM129344 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI EUSTAQUIO, ALESSANDRA S · 2020 to 2023
$1.5M
Deutsche Forschungsgemeinschaft Germany's Excellence Strategy-EXC 2124-390838134Deutsches Zentrum für Infektionsforschung TTU09.716NCATS NIH HHS KL2 TR002002NIGMS NIH HHS 1R01GM129344-01A1NIGMS NIH HHS R01 GM129344
6 · The paper itself

Abstract

Culture-independent metagenomic approaches offer a promising solution to the discovery of therapeutically relevant compounds such as antibiotics by enabling access to the hidden biosynthetic potential of microorganisms. These strategies, however, often entail laborious, multi-step, and time-consuming procedures to recover the biosynthetic gene clusters (BGCs) from soil metagenomes for subsequent heterologous expression. Here, we developed an efficient method we called single Nanopore read cluster mining (SNRCM), which enables the fast recovery of complete BGCs from a soil metagenome using long- and short-read sequencing. A metagenomic fosmid library of 83,700 clones was generated and sequenced using Nanopore as well as Illumina technologies. Hybrid assembled contigs of the sequenced fosmid library were subsequently analyzed to identify BGCs encoding secondary metabolites. Using SNRCM, we aligned the identified BGCs directly to Nanopore long-reads and were able to detect complete BGCs on single fosmids. This enabled us to select for and recover BGCs of interest for subsequent heterologous expression attempts. Additionally, the sequencing data of the fosmid library and its corresponding metagenomic DNA enabled us to assemble and recover a large nonribosomal peptide synthetase (NRPS) BGC from three different fosmids of our library and to directly amplify and recover a complete lasso peptide BGC from the high-quality metagenomic DNA. Overall, the strategies presented here provide a useful tool for accelerating and facilitating the identification and production of potentially interesting bioactive compounds from soil metagenomes. KEY POINTS: • An efficient approach for the recovery of BGCs from soil metagenomes was developed to facilitate natural product discovery. • A fosmid library was constructed from soil metagenomic HMW DNA and sequenced via Illumina and Nanopore. • Nanopore long-reads enabled the direct identification and recovery of complete BGCs on single fosmids.

Indexed as

MetagenomeSoilDNAMetagenomicsMultigene FamilyDNASoilFosmid libraryMetagenomic DNANanopore sequencingNatural productsSecondary metabolitesSingle Nanopore read cluster mining (SNRCM)

Identifiers

PMID35435454
PMCPMC9064862
OpenAlexW4223905203

What OpenQuestion holds

Textmetadata
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.