A novel multilocus variable-number tandem repeat analysis for Bordetella parapertussis

Autor: Rei Fumimoto, Shu-Man Yao, Mineo Watanabe, Keigo Shibayama, Ruiting Lan, Nao Otsuka, Kensuke Ozawa, Laurence Don Wai Luu, Chuen-Sheue Chiang, Kazunari Kamachi
Rok vydání: 2019
Předmět:
Zdroj: Journal of Medical Microbiology. 68:1671-1676
ISSN: 1473-5644
0022-2615
DOI: 10.1099/jmm.0.001095
Popis: Purpose. Human-adapted Bordetella parapertussis is one of the causative agents of whooping cough; however, there are currently no genotyping systems with high discriminatory power for this bacterial pathogen. We therefore aimed to develop a multilocus variable-number tandem repeat analysis (MLVA) for human-adapted B. parapertussis.Methodology. Four highly polymorphic variable number tandem repeat (VNTR) loci in the B. parapertussis genome were selected and amplified by multiplex PCR. MLVA was performed based on the number of tandem repeats at VNTR loci. The discriminatory power of MLVA was evaluated with three laboratory reference strains and 50 human isolates of B. parapertussis.Results. Multiplex PCR-based MLVA characterized 53 B. parapertussis reference strains and isolates into 25 MLVA types and the Simpson diversity index was 0.91 (95 % confidence interval, 0.86-0.97). The three reference strains exhibited different MLVA types. Thirty-one Japanese isolates, ten French isolates and three Taiwanese isolates belonged to fourteen, nine and three MLVA types, respectively. In contrast, all five Australian isolates belonged to the same type. Two Japanese isolates collected from patients with known epidemiological links had the same type.Conclusion. Our novel MLVA method has high discriminatory power for genotyping human B. parapertussis. Regarding this organism, this genotyping system is a promising tool for epidemiological surveillance and investigating outbreaks.
Databáze: OpenAIRE