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Microbial Metagenomics Mock Scenario-based Sample Simulation (M3S3).

Y Motro1, J Moran-Gilad2

  • 1Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases
|August 17, 2017
PubMed
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A new tool, Microbial Metagenomics Mock Scenario-based Sample Simulation (M3S3), generates virtual metagenomics samples for clinical microbiology. This aids in standardizing and validating culture-independent diagnostic methods by simulating diverse infectious disease scenarios.

Area of Science:

  • Clinical Microbiology
  • Bioinformatics
  • Metagenomics

Background:

  • Shotgun sequencing is increasingly used for unbiased, culture-independent diagnosis in clinical microbiology.
  • Standardization and validation of metagenomics methods are crucial for clinical integration.
  • Virtual metagenomics samples can serve as a substitute for real samples in validation processes.

Purpose of the Study:

  • To develop a novel solution for simulating metagenomics samples based on user-defined clinical scenarios.
  • To create a tool that aids in the validation of metagenomics applications for clinical use.

Main Methods:

  • The Microbial Metagenomics Mock Scenario-based Sample Simulation (M3S3) workflow was designed to generate virtual samples from raw reads or assemblies.
  • M3S3 outputs mock samples in FASTQ or FASTA format.
Keywords:
BioinformaticsDiagnosticsMetagenomicsQuality assuranceSimulation

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  • The workflow was tested using 10 infectious disease scenarios with in silico spiked pathogens, generating 80 replicate samples analyzed by Taxonomer and Kraken db.
  • Main Results:

    • All 10 challenge scenarios were successfully simulated, producing virtual samples that accurately reflected user-defined sequence compositions.
    • Spiked pathogen sequences were identified in most replicates with acceptable abundance, showing minor variations between analysis software.
    • The virtual samples demonstrated the predicted composition and pathogen presence according to the input parameters.

    Conclusions:

    • The M3S3 tool successfully generates virtual samples on-demand, simulating various clinical diagnostic scenarios of differing complexity.
    • M3S3 provides a proof-of-concept for supporting the development and validation of standardized metagenomics applications in routine microbiology.
    • Despite the tool's capability, the integration of clinical metagenomics into routine practice remains a significant challenge.