Related Experiment Video
Updated: May 30, 2026
Multi-locus Variable-number Tandem-repeat Analysis of the Fish-pathogenic Bacterium Yersinia ruckeri by Multiplex PCR and Capillary Electrophoresis
Published on: June 17, 2019
A multi locus variable number of tandem repeat analysis (MLVA) scheme for Streptococcus agalactiae genotyping
Eve Haguenoer1, Gaelle Baty, Christine Pourcel
1Université François-Rabelais de Tours, UFR de Médecine, EA 3854 Bactéries et risque materno-fœtal, Institut Fédératif de Recherche 136 Agents Transmissibles et Infectiologie, Tours, France.
A new multiple locus variable number of tandem repeat analysis (MLVA) method offers a more discriminatory genotyping approach for Streptococcus agalactiae strains than traditional MLST. This rapid and cost-effective technique enhances epidemiological surveillance and outbreak analysis.
Area of Science:
- Microbiology
- Genetics
- Epidemiology
Background:
- Streptococcus agalactiae is a significant pathogen, particularly in newborns and immunocompromised individuals.
- Multilocus sequence typing (MLST) is the standard for S. agalactiae genotyping.
- Novel genotyping methods are needed for improved strain characterization.
Purpose of the Study:
- To develop and evaluate a multiple locus variable number of tandem repeat analysis (MLVA) genotyping scheme for Streptococcus agalactiae.
- To compare the discriminatory power of MLVA with MLST for S. agalactiae.
Main Methods:
- Selection of 6 polymorphic VNTR loci from 34 tested.
- Genotyping of 186 S. agalactiae strains using MLVA and MLST.
- Analysis of diversity indices and clustering patterns.
Main Results:
- MLVA generated 98 genotypes, compared to 51 sequence types by MLST.
- MLVA exhibited a higher diversity index (0.960) than MLST (0.881).
- MLVA clusters correlated well with MLST clonal complexes, offering enhanced discrimination.
Conclusions:
- The proposed MLVA scheme is rapid, cost-effective, and user-friendly.
- MLVA provides superior discriminatory power for S. agalactiae genotyping.
- This method is suitable for epidemiological surveillance and outbreak investigations.
