nanoMLST

nanoMLST performs multilocus sequence typing (MLST) using Oxford Nanopore Technologies MinION sequencing with dual-barcode multiplexing to assign MLST alleles for microbial strain typing and lineage analysis.


Key Features:

  • Dual-Barcoding Multiplexing: Employs a dual-barcode system to process multiple samples concurrently on a single MinION flow cell, enabling multiplexed sequencing.
  • Sequencing Efficiency: Sequences seven full-length housekeeping genes from up to 96 meticillin-resistant Staphylococcus aureus isolates in a single run, supporting high-throughput MLST.
  • High Accuracy: Demonstrates 100% agreement in allele assignments when compared to conventional Sanger sequencing.
  • Scalability: Estimated to handle MLST for up to 1,000 samples simultaneously for large-scale genotyping projects.
  • Speed and Cost-Effectiveness: Provides a rapid and lower-cost alternative to Sanger sequencing for MLST using the MinION platform.

Scientific Applications:

  • Microbial lineage and strain typing: Enables MLST-based strain typing and lineage determination of bacterial isolates.
  • Epidemiological surveillance: Supports epidemiological studies and surveillance by enabling genotyping of large sample sets.
  • Outbreak investigation: Facilitates outbreak investigations through rapid MLST allele assignment across many isolates.
  • Antimicrobial resistance research: Assists research into antimicrobial resistance patterns by providing MLST data for resistant strains such as meticillin-resistant Staphylococcus aureus.

Methodology:

Resulting MinION sequencing data undergo bioinformatic analysis to assign MLST alleles.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool
Programming Languages:
Python, R
Added:
1/18/2021
Last Updated:
3/8/2021

Operations

Publications

Liou C, Wu H, Liao Y, Yang Lauderdale T, Huang I, Chen F. nanoMLST: accurate multilocus sequence typing using Oxford Nanopore Technologies MinION with a dual-barcode approach to multiplex large numbers of samples. Microbial Genomics. 2020;6(3). doi:10.1099/mgen.0.000336. PMID:32065578. PMCID:PMC7200061.

PMID: 32065578
PMCID: PMC7200061
Funding: - National Health Research Institutes: IV-107-PP-07, PH-107-PP-05 - Ministry of Science and Technology, Taiwan: MOST 106-2923-B-400-001-MY3

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