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MIST: A microbial identification and source tracking system for next-generation sequencing data.

Minghui Song1, Chang Han2, Linmeng Liu2

  • 1Shanghai Institute for Food and Drug Control NMPA Key Laboratory for Testing Technology of Pharmaceutical Microbiology Shanghai.

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|June 13, 2024
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Summary

This study introduces the Microbial Identification and Source Tracking (MIST) system, integrating whole genome sequencing (WGS) for accurate microbial identification and contamination investigation in food and drugs. The MIST system standardizes microbial analysis, enhancing quality control.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • Standardization of microbial whole genome sequencing (WGS) is crucial for accurate identification and contamination investigations.
  • Existing methods may lack integration for comprehensive microbial analysis in quality control.

Purpose of the Study:

  • To develop an integrated system for microbial identification and source tracking based on established WGS guidelines.
  • To enhance microbial analysis capabilities for food and drug quality control.

Main Methods:

  • Development of the Microbial Identification and Source Tracking (MIST) system.
  • Integration of 16S/18S/ITS amplicon sequencing, WGS, and SNP-based source tracking pipelines.
  • Support for multiple sequence data formats (Fasta, base call file, FASTQ) and direct connection to sequencing instruments.

Main Results:

  • The MIST system offers integrated microbial identification and source tracking.
  • The system supports diverse sequence data inputs and direct data acquisition.
  • A publicly accessible web server for MIST was established (http://syj.i-sanger.cn).

Conclusions:

  • The MIST system provides a standardized and integrated approach for microbial analysis.
  • This system improves microbial identification and contamination investigation in food and drug safety.
  • The developed MIST system and its web server facilitate broader application in quality control.