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Modern Molecular Taxonomy

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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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Multi-locus Variable-number Tandem-repeat Analysis of the Fish-pathogenic Bacterium Yersinia ruckeri by Multiplex PCR and Capillary Electrophoresis

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Optimization of Bartonella henselae multilocus sequence typing scheme using single-nucleotide polymorphism analysis

Fan Zhao¹, Gemma Chaloner, Alistair Darby

¹State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.

Chinese Medical Journal

|August 14, 2012

Summary

This summary is machine-generated.

This study enhances multi-locus sequence typing (MLST) for Bartonella henselae by using single nucleotide polymorphism (SNP) analysis to optimize loci selection, improving strain differentiation. Bartonella henselae diversity in China remains notably low compared to global populations.

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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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Published on: June 21, 2018

Area of Science:

Microbiology
Genetics
Population Genetics

Background:

Multi-locus sequence typing (MLST) is a standard method for bacterial pathogen population structure analysis.
The sensitivity of MLST is limited for pathogens with low genetic variation, such as Bartonella henselae, where allelic differences are minimal.
High-throughput sequencing can improve MLST locus selection for enhanced sensitivity.

Purpose of the Study:

To optimize the multi-locus sequence typing (MLST) scheme for Bartonella henselae by leveraging single nucleotide polymorphism (SNP) analysis.
To improve the accurate delineation of closely-related Bartonella henselae sequence types.
To assess Bartonella henselae diversity within China.

Main Methods:

Performed SOLiD resequencing on 12 representative Bartonella henselae isolates.
Analyzed single nucleotide polymorphism (SNP) distribution within established MLST loci genes.
Modified MLST loci positions to maximize captured genetic variation.

Main Results:

Identified SNP distribution within open reading frames (ORFs) not covered by the existing MLST scheme.
Amended MLST loci successfully differentiated previously indistinguishable ST1 strains.
Observed rare Bartonella henselae diversity in China.

Conclusions:

SNP analysis effectively guided the selection of MLST loci to enhance the Bartonella henselae typing scheme.
The diversity of Bartonella henselae strains in China is significantly lower than in other global populations.