Evidence map›Paper›PMID 34320945›Full record

ArticleBMC microbiology2021

Comparison of three amplicon sequencing approaches to determine staphylococcal populations on human skin.

Charlotte Marie Ahle, Kristian Stødkilde-Jørgensen, Anja Poehlein, Wolfgang R Streit, Jennifer Hüpeden, Holger Brüggemann

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. High-resolutionMicrobial genomics · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Nasal Dysbiosis in Cutaneous T-Cell Lymphoma Is Characterized by Shifts in Relative Abundances of Non-JID innovations : skin science from molecules to population health · 2022
    Article
  13. 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

6 authors at 4 institutions in 2 countries.

Charlotte Marie AhleBeiersdorf AG, Research & Development, Front End Innovation, 20245, Hamburg, Germany.
Kristian Stødkilde-JørgensenDepartment of Biomedicine, Aarhus University, 8000, Aarhus, Denmark.
Anja PoehleinDepartment of Genomic and Applied Microbiology, Institute of Microbiology and Genetics, University of Göttingen, 37073, Göttingen, Germany.
Wolfgang R StreitDepartment of Microbiology and Biotechnology, University of Hamburg, 22609, Hamburg, Germany.
Jennifer HüpedenBeiersdorf AG, Research & Development, Front End Innovation, 20245, Hamburg, Germany.
Holger BrüggemannDepartment of Biomedicine, Aarhus University, 8000, Aarhus, Denmark. brueggemann@biomed.au.dk.ORCID 0000-0001-7433-0190
Aarhus University · DKBeiersdorf (Germany) · DEUniversität Hamburg · DEUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStaphylococci are important members of the human skin microbiome. Many staphylococcal species and strains are commensals of the healthy skin microbiota, while few play essential roles in skin diseases such as atopic dermatitis. To study the involvement of staphylococci in health and disease, it is essential to determine staphylococcal populations in skin samples beyond the genus and species level. Culture-independent approaches such as amplicon next-generation sequencing (NGS) are time- and cost-effective options. However, their suitability depends on the power of resolution.

resultsHere we compare three amplicon NGS schemes that rely on different targets within the genes tuf and rpsK, designated tuf1, tuf2 and rpsK schemes. The schemes were tested on mock communities and on human skin samples. To obtain skin samples and build mock communities, skin swab samples of healthy volunteers were taken. In total, 254 staphylococcal strains were isolated and identified to the species level by MALDI-TOF mass spectrometry. A subset of ten strains belonging to different staphylococcal species were genome-sequenced. Two mock communities with nine and eighteen strains, respectively, as well as eight randomly selected skin samples were analysed with the three amplicon NGS methods. Our results imply that all three methods are suitable for species-level determination of staphylococcal populations. However, the novel tuf2-NGS scheme was superior in resolution power. It unambiguously allowed identification of Staphylococcus saccharolyticus and distinguish phylogenetically distinct clusters of Staphylococcus epidermidis.

conclusionsPowerful amplicon NGS approaches for the detection and relative quantification of staphylococci in human samples exist that can resolve populations to the species and, to some extent, to the subspecies level. Our study highlights strengths, weaknesses and pitfalls of three currently available amplicon NGS approaches to determine staphylococcal populations. Applied to the analysis of healthy and diseased skin, these approaches can be useful to attribute host-beneficial and -detrimental roles to skin-resident staphylococcal species and subspecies.

Indexed as

DNA, BacterialHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNASkinStaphylococcusDNA, Bacterial

Identifiers

PMID34320945
PMCPMC8320028
OpenAlexW3183162667

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.