Evidence map›Paper›PMID 34039428›Full record

ArticleMicrobiome2021

Pre-digest of unprotected DNA by Benzonase improves the representation of living skin bacteria and efficiently depletes host DNA.

Yacine Amar, Ilias Lagkouvardos, Rafaela L Silva, Oluwaseun Ayodeji Ishola, Bärbel U Foesel, Susanne Kublik, Anne Schöler, Sebastian Niedermeier, Rachela Bleuel, Alexander Zink and 4 more

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
  2. Article
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  4. Clinical application of metagenomic next-generation sequencing (mNGS) in children with suspected bloodstream infection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  5. Article
  6. Metagenomic next-generation sequencing: new horizons in microbiology.Frontiers in cellular and infection microbiology · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Biliary microbiota in disease-free, obstructive and post-drainage biliary tracts.Frontiers in cellular and infection microbiology · 2025
    Article
  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

14 authors.

Yacine AmarDepartment of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany.
Ilias LagkouvardosInstitute of Marine Biology, Biotechnology and Aquaculture (IMBBC), HCMR, Heraklion, Greece.
Rafaela L SilvaDepartment of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany.
Oluwaseun Ayodeji IsholaResearch Unit Comparative Microbiome Analysis, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Bärbel U FoeselResearch Unit Comparative Microbiome Analysis, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Susanne KublikResearch Unit Comparative Microbiome Analysis, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Anne SchölerResearch Unit Comparative Microbiome Analysis, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Sebastian NiedermeierDepartment of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany.
Rachela BleuelDepartment of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany.
Alexander ZinkDepartment of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany.
Klaus NeuhausCore Facility Microbiome, Technische Universität München, 85354, Freising, Germany.
Michael SchloterResearch Unit Comparative Microbiome Analysis, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Tilo BiedermannDepartment of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany. tilo.biedermann@tum.de.ORCID 0000-0002-5352-5105
Martin KöberleDepartment of Dermatology and Allergology, Technical University of Munich, School of Medicine, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe identification of microbiota based on next-generation sequencing (NGS) of extracted DNA has drastically improved our understanding of the role of microbial communities in health and disease. However, DNA-based microbiome analysis cannot per se differentiate between living and dead microorganisms. In environments such as the skin, host defense mechanisms including antimicrobial peptides and low cutaneous pH result in a high microbial turnover, likely resulting in high numbers of dead cells present and releasing substantial amounts of microbial DNA. NGS analyses may thus lead to inaccurate estimations of microbiome structures and consequently functional capacities.

resultsWe investigated in this study the feasibility of a Benzonase-based approach (BDA) to pre-digest unprotected DNA, i.e., of dead microbial cells, as a method to overcome these limitations, thus offering a more accurate assessment of the living microbiome. A skin mock community as well as skin microbiome samples were analyzed using 16S rRNA gene sequencing and metagenomics sequencing after DNA extraction with and without a Benzonase digest to assess bacterial diversity patterns. The BDA method resulted in less reads from dead bacteria both in the skin mock community and skin swabs spiked with either heat-inactivated bacteria or bacterial-free DNA. This approach also efficiently depleted host DNA reads in samples with high human-to-microbial DNA ratios, with no obvious impact on the microbiome profile. We further observed that low biomass samples generate an α-diversity bias when the bacterial load is lower than 10

conclusionsThe BDA approach enables both a better assessment of the living microbiota and depletion of host DNA reads. Video abstract.

Indexed as

BacteriaMetagenomicsMicrobiotaDNADNA, BacterialEndodeoxyribonucleasesEndoribonucleasesHigh-Throughput Nucleotide SequencingHumansRNA, Ribosomal, 16SSkinDNADNA, BacterialEndodeoxyribonucleasesEndoribonucleasesRNA, Ribosomal, 16SSerratia marcescens nuclease16S rRNABenzonaseDiversityDNA extractionLive/deadLow biomassNext-generation sequencingSkinSkin microbiome

Identifiers

PMID34039428
PMCPMC8157445

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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.