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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...
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Related Experiment Video

Updated: Sep 20, 2025

Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples
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Pathogen detection and characterization from throat swabs using unbiased metatranscriptomic analyses.

Ryan Toma1, Nathan Duval1, Nan Shen1

  • 1Viome Life Sciences, Inc., Bellevue, WA and New York, NY, USA.

International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases
|June 6, 2022
PubMed
Summary

Metatranscriptomic (MT) analysis of throat samples effectively identifies diverse pathogens and resistance genes during sickness. This unbiased approach offers a comprehensive view of the throat microbiome

Keywords:
Antibiotic resistanceInfectious diseaseMetatranscriptomicsPathogen detectionThroat swab

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Area of Science:

  • Microbiology
  • Genomics
  • Infectious Disease Diagnostics

Background:

  • Current infectious disease diagnostics face limitations in identifying novel and mutated pathogens.
  • The human throat is a common infection site, yet lacks a universal diagnostic test for diverse pathogens.
  • Metatranscriptomic (MT) analysis offers an unbiased approach to detect and characterize all pathogens present.

Purpose of the Study:

  • To evaluate the efficacy of MT analysis for pathogen detection in throat samples.
  • To identify sickness-associated microbial shifts and antimicrobial resistance genes.

Main Methods:

  • Collected throat samples from participants.
  • Analyzed samples using metatranscriptomic sequencing before, during, and after acute sickness.

Main Results:

  • Detected significant shifts in pathogenic microorganisms correlated with sickness.
  • Gained insights into microbial functions and the presence of antimicrobial resistance genes.

Conclusions:

  • MT analysis provides an effective, unbiased method for identifying and characterizing throat pathogens.
  • This approach enables a comprehensive understanding of the throat microbiome's role in health and disease.