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Related Concept Videos

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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...
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Related Experiment Video

Updated: Sep 20, 2025

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing
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Toward accurate vaginal microbiome profiling: protocol, bioinformatics, and core microbiota characterisation.

Isabella M Davidson1, Elham Nikbakht1, Larisa M Haupt2,3,4

  • 1Faculty of Health Sciences & Medicine, Bond University, 14 University Drive, Robina QLD 4226, Gold Coast, Australia.

Journal of Assisted Reproduction and Genetics
|May 29, 2025
PubMed
Summary

This study explored the vaginal microbiome in healthy women using nanopore sequencing. Results show a Lactobacillus-rich microbiome is common, but improved methods are needed for accurate fertility outcome analysis.

Keywords:
Lactobacillus16S rRNA sequencingBioinformaticsCommunity state types (CSTs)Nanopore sequencingVaginal microbiome

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Area of Science:

  • Microbiology
  • Genomics
  • Reproductive Health

Background:

  • Assisted reproductive technologies (ART) success rates need improvement.
  • The vaginal microbiome's role in fertility is increasingly recognized.
  • Standardized methods are crucial for accurate microbiome assessment.

Purpose of the Study:

  • To assess nanopore sequencing and bioinformatics for vaginal microbiota characterization.
  • To analyze the core vaginal microbiota in healthy reproductive-age Australian women.

Main Methods:

  • Utilized 16S rRNA sequencing with nanopore technology.
  • Optimized PCR strategies and bioinformatic analysis pipelines.
  • Compared different primer sets and bioinformatics tools for microbial identification.

Main Results:

  • Identified Community State Type I (Lactobacillus crispatus dominance) as the most common (66%).
  • Porechop with NanoCLUST showed accuracy in microbial identification.
  • No Chlamydia trachomatis was detected using nanopore sequencing.

Conclusions:

  • A Lactobacillus-rich vaginal microbiome is prevalent in healthy females.
  • 16S rRNA sequencing has limitations for precise microbial detection.
  • Metagenomics may offer improved accuracy for vaginal microbiome studies.