Evidence map›Paper›PMID 34636675›Full record

ArticlemSystems2021

Metagenomic Sequencing of Multiple Soil Horizons and Sites in Close Vicinity Revealed Novel Secondary Metabolite Diversity.

Shrikant S Mantri, Timo Negri, Helena Sales-Ortells, Angel Angelov, Silke Peter, Harald Neidhardt, Yvonne Oelmann, Nadine Ziemert

Abstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  19. Cutting edge tools in the field of soil microbiology.Current research in microbial sciences · 2024
    Review
  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

8 authors.

Shrikant S MantriInterfaculty Institute of Microbiology and Infection Medicine, University of Tübingengrid.10392.39, Tübingen, Germany.
Timo NegriInterfaculty Institute of Microbiology and Infection Medicine, University of Tübingengrid.10392.39, Tübingen, Germany.
Helena Sales-OrtellsInterfaculty Institute of Microbiology and Infection Medicine, University of Tübingengrid.10392.39, 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.
Harald NeidhardtGeoecology, Department of Geosciences, University of Tübingengrid.10392.39, Tübingen, Germany.
Yvonne OelmannGeoecology, Department of Geosciences, University of Tübingengrid.10392.39, Tübingen, Germany.
Nadine ZiemertInterfaculty Institute of Microbiology and Infection Medicine, University of Tübingengrid.10392.39, Tübingen, Germany.

Funding

Deutsche Forschungsgemeinschaft (DFG) 398967434-TRR 261Deutsche Forschungsgemeinschaft (DFG) EXC 2124 - 390838134Deutsches Zentrum für Infektionsforschung (DZIF) TI06.903Deutsches Zentrum für Infektionsforschung (DZIF) TTU09.716
6 · The paper itself

Abstract

Discovery of novel antibiotics is crucial for combating rapidly spreading antimicrobial resistance and new infectious diseases. Most of the clinically used antibiotics are natural products-secondary metabolites produced by soil microbes that can be cultured in the lab. Rediscovery of these secondary metabolites during discovery expeditions costs both time and resources. Metagenomics approaches can overcome this challenge by capturing both culturable and unculturable hidden microbial diversity. To be effective, such an approach should address questions like the following. Which sequencing method is better at capturing the microbial diversity and biosynthesis potential? What part of the soil should be sampled? Can patterns and correlations from such big-data explorations guide future novel natural product discovery surveys? Here, we address these questions by a paired amplicon and shotgun metagenomic sequencing survey of samples from soil horizons of multiple forest sites very close to each other. Metagenome mining identified numerous novel biosynthetic gene clusters (BGCs) and enzymatic domain sequences. Hybrid assembly of both long reads and short reads improved the metagenomic assembly and resulted in better BGC annotations. A higher percentage of novel domains was recovered from shotgun metagenome data sets than from amplicon data sets. Overall, in addition to revealing the biosynthetic potential of soil microbes, our results suggest the importance of sampling not only different soils but also their horizons to capture microbial and biosynthetic diversity and highlight the merits of metagenome sequencing methods.

Indexed as

amplicon sequencingbiosynthetic gene clustersmetagenomenatural productsOxford Nanoporesecondary metabolitessoil horizons

Identifiers

PMID34636675
PMCPMC8510542

What OpenQuestion holds

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LicenceCC BY
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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.