Back to Search Start Over

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

Authors :
Rei Fumimoto
Shu-Man Yao
Mineo Watanabe
Keigo Shibayama
Ruiting Lan
Nao Otsuka
Kensuke Ozawa
Laurence Don Wai Luu
Chuen-Sheue Chiang
Kazunari Kamachi
Source :
Journal of Medical Microbiology. 68:1671-1676
Publication Year :
2019
Publisher :
Microbiology Society, 2019.

Abstract

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.

Details

ISSN :
14735644 and 00222615
Volume :
68
Database :
OpenAIRE
Journal :
Journal of Medical Microbiology
Accession number :
edsair.doi...........afdaa6b9565f63b228ddeb9063371da8