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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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Updated: Mar 12, 2026

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

Efficient, Cost-Effective, High-Throughput, Multilocus Sequencing Typing (MLST) Method, NGMLST, and the Analytical

Yuan Chen¹, John R Perfect²

¹Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA.

Methods in Molecular Biology (Clifton, N.J.)

|November 9, 2016

Summary

This summary is machine-generated.

A new multilocus sequence typing (MLST) method uses next-generation sequencing for rapid, economical, and accurate genotyping of many biological samples. This approach overcomes the cost and time limitations of conventional MLST.

Keywords:

Genotyping Multilocus sequence typing Multiplex PCR Next-generation sequencing

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Published on: June 17, 2019

Area of Science:

Microbiology
Genetics
Bioinformatics

Background:

Multilocus sequence typing (MLST) is a standard for bacterial and fungal strain identification.
Conventional MLST is laborious, time-consuming, and expensive, limiting its application for large-scale studies.
There is a need for a more efficient and cost-effective MLST method.

Purpose of the Study:

To develop and validate a novel, high-throughput MLST method.
To enable accurate and economical genotyping of a large number of biological isolates.
To overcome the limitations of traditional MLST protocols.

Main Methods:

Integration of next-generation sequencing (NGS) technology.
Development of a multiplexing protocol for simultaneous analysis of multiple samples.
Utilization of specialized analytical software for data processing and interpretation.

Main Results:

The new method provides accurate MLST genotyping.
The assay is rapid, significantly reducing turnaround time compared to conventional methods.
The cost-effectiveness allows for genotyping of 96 or more isolates in a single run.

Conclusions:

The described NGS-based MLST method offers a powerful and efficient alternative for microbial genotyping.
This approach facilitates large-scale epidemiological studies and strain surveillance.
The method enhances the utility of MLST in various biological research and diagnostic applications.