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http://dx.doi.org/10.4142/jvs.2021.22.e24

Single-nucleotide polymorphism-based epidemiological analysis of Korean Mycobacterium bovis isolates  

Kim, Tae-Woon (Bacterial Disease Division, Animal and Plant Quarantine Agency)
Jang, Yun-Ho (Bacterial Disease Division, Animal and Plant Quarantine Agency)
Jeong, Min Kyu (Bacterial Disease Division, Animal and Plant Quarantine Agency)
Seo, Yoonjeong (Bacterial Disease Division, Animal and Plant Quarantine Agency)
Park, Chan Ho (Gangwondo Livestock & Veterinary Service)
Kang, Sinseok (Chung Cheongbukdo Livestock & Veterinary Service)
Lee, Young Ju (College of Veterinary Medicine, Kyungpook National University)
Choi, Jeong-Soo (Bacterial Disease Division, Animal and Plant Quarantine Agency)
Yoon, Soon-Seek (Bacterial Disease Division, Animal and Plant Quarantine Agency)
Kim, Jae Myung (Bacterial Disease Division, Animal and Plant Quarantine Agency)
Publication Information
Journal of Veterinary Science / v.22, no.2, 2021 , pp. 24.1-24.16 More about this Journal
Abstract
Background: Bovine tuberculosis (TB) is caused by Mycobacterium bovis, a well-known cause of zoonotic tuberculosis in cattle and deer, and has been investigated in many physiological and molecular studies. However, detailed genome-level studies of M. bovis have not been performed in Korea. Objectives: To survey whole genome-wide single-nucleotide polymorphism (SNP) variants in Korean M. bovis field isolates and to define M. bovis groups in Korea by comparing SNP typing with spoligotyping and variable number tandem repeat typing. Methods: A total of 46 M. bovis field isolates, isolated from laryngopharyngeal lymph nodes and lungs of Korean cattle, wild boar, and Korean water deer, were used to identify SNPs by performing whole-genome sequencing. SNP sites were confirmed via polymerase chain reaction using 87 primer pairs. Results: We identified 34 SNP sites with different frequencies across M. bovis isolates, and performed SNP typing and epidemiological analysis, which divided the 46 field isolates into 16 subtypes. Conclusions: Through SNP analysis, detailed differences in samples with identical spoligotypes could be detected. SNP analysis is, therefore, a useful epidemiological tracing tool that could enable better management of bovine TB, thus preventing further outbreaks and reducing the impact of this disease.
Keywords
Bovine tuberculosis; Mycobacterium bovis; Single nucleotide polymorphism; spoligotype; variable number of tandem repeat;
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