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Modern Molecular Taxonomy01:29

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
The Skin Microbiota01:27

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Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
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UMI-guided single locus sequence typing method for phylotyping Cutibacterium acnes from skin samples.

Elody Orcel1, Erwin Sentausa1, Hayat Hage1

  • 1BIOASTER, Microbiology Technology Institute, Lyon, France.

Frontiers in Cellular and Infection Microbiology
|June 5, 2026
PubMed
Summary

We developed SLST-Seq, a new method for accurately profiling Cutibacterium acnes strains directly from skin. This approach reveals significant variations in skin microbiome composition between individuals.

Keywords:
Amplicon sequencingCutibacterium (Propionibacterium) acnesDNA extractionlibrary preparationmicrobiomephylotypingskinstrip samples

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Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Cutibacterium acnes is a key skin bacterium with diverse strains impacting skin health.
  • Characterizing C. acnes strains in skin samples is difficult due to low DNA amounts and contamination.

Purpose of the Study:

  • To introduce SLST-Seq, a novel method for high-resolution C. acnes strain typing from low-input skin samples.
  • To enable accurate, culture-independent analysis of C. acnes population structure in situ.

Main Methods:

  • SLST-Seq utilizes single-locus sequence typing (SLST) with synthetic long-read sequencing.
  • Combines unique molecular identifier barcoding and de novo assembly for full-length SLST reconstruction.
  • Validated using controls, dilution series, and reproducibility assessments.

Main Results:

  • SLST-Seq demonstrated high specificity, quantitative accuracy, and reproducibility.
  • Analysis of skin-strip samples revealed significant inter-individual variability in C. acnes communities.
  • Skin microbiome structures were largely consistent between facial and back sites within individuals.

Conclusions:

  • SLST-Seq offers a sensitive and scalable framework for analyzing C. acnes population dynamics.
  • This method facilitates high-resolution studies of skin microbiome composition in challenging samples.