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Core Genome Multi-locus Sequence Typing Analyses of Leptospira spp. Using the Bacterial Isolate Genome Sequence
Linda Grillová1, Mathieu Picardeau2
1Unité de Biologie des Spirochètes, Institut Pasteur, Paris, France.
Methods in Molecular Biology (Clifton, N.J.)
|July 8, 2020
Summary
A new core genome multi-locus sequence typing (cgMLST) scheme provides high-resolution typing for all Leptospira species. This tool aids in tracking bacterial isolates and supports global leptospirosis surveillance efforts.
Area of Science:
- Microbiology
- Genomics
- Epidemiology
Background:
- Whole-genome sequencing (WGS) enables high-resolution typing of bacterial pathogens.
- Core genome multi-locus sequence typing (cgMLST) schemes are crucial for reproducible bacterial isolate characterization.
- Combining cgMLST data with metadata enhances epidemiological investigations.
Purpose of the Study:
- To develop a comprehensive cgMLST scheme for the entire Leptospira genus.
- To enable high-resolution identification of Leptospira isolates at species, clade, clonal group, and sequence type levels.
- To facilitate global surveillance and research of leptospirosis.
Main Methods:
- Development of a Leptospira-specific cgMLST scheme utilizing hundreds of conserved loci.
- Creation of a publicly accessible, web-based database for Leptospira cgMLST data analysis.
- Application of the scheme to analyze whole-genome sequencing data from Leptospira isolates.
Main Results:
- A robust cgMLST scheme for high-resolution typing of the Leptospira genus was established.
- The scheme successfully differentiates Leptospira isolates to fine genetic levels.
- Demonstrated utility of the cgMLST database for WGS data analysis and epidemiological insights.
Conclusions:
- The developed Leptospira cgMLST scheme offers a standardized approach for bacterial typing.
- The cgMLST database serves as a valuable resource for researchers and public health professionals.
- This initiative supports international collaboration and enhances global leptospirosis surveillance.
Keywords:
Bacterial Isolate Genome Sequence Database (BIGSdb)Core genome multi-locus sequence typingGenomeMore Related Videos
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